Object Detection faster_rcnn训练日志

https://github.com/tensorflow/models

https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md

(zhouying2) F:TensorflowProjectObjectDetectionmodels-1.12.0 esearch>
(zhouying2) F:TensorflowProjectObjectDetectionmodels-1.12.0 esearch>python object_detection/training_20200414.py --pipeline_config_path=object_detection/data_202004/training/faster_rcnn_resnet101_coco.config --model_dir=object_detection/output_model_20200419 --num_train_steps=80000 --num_eval_steps=200 --alsologtostderr
WARNING:tensorflow:Forced number of epochs for all eval validations to be 1.
WARNING:tensorflow:Expected number of evaluation epochs is 1, but instead encountered `eval_on_train_input_config.num_epochs` = 0. Overwriting `num_epochs` to 1.
WARNING:tensorflow:Estimator's model_fn (<function create_model_fn.<locals>.model_fn at 0x000001D81766EC80>) includes params argument, but params are not passed to Estimator.
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
WARNING:tensorflow:From N:Anaconda3installenvszhouying2libsite-packagesobject_detection-0.1-py3.6.eggobject_detectionpredictorsheadsox_head.py:93: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.
Instructions for updating:
keep_dims is deprecated, use keepdims instead
WARNING:tensorflow:From N:Anaconda3installenvszhouying2libsite-packagesobject_detection-0.1-py3.6.eggobject_detectionmeta_architecturesfaster_rcnn_meta_arch.py:2164: get_or_create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.get_or_create_global_step
WARNING:tensorflow:From N:Anaconda3installenvszhouying2libsite-packagesobject_detection-0.1-py3.6.eggobject_detectioncorelosses.py:345: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.
Instructions for updating:

Future major versions of TensorFlow will allow gradients to flow
into the labels input on backprop by default.

See @{tf.nn.softmax_cross_entropy_with_logits_v2}.

N:Anaconda3installenvszhouying2libsite-packages ensorflowpythonopsgradients_impl.py:100: UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shape. This may consume a large amount of memory.
"Converting sparse IndexedSlices to a dense Tensor of unknown shape. "
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.86s).
Accumulating evaluation results...
DONE (t=0.10s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.152
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.341
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.109
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.152
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.240
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.178
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.354
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.366
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.267
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.555
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.10s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.442
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.709
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.534
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.416
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.466
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.379
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.654
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.657
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.645
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.663
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.10s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.571
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.834
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.722
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.531
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.579
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.454
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.732
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.732
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.727
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.735
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.11s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.682
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.876
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.839
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.663
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.663
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.508
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.807
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.807
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.802
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.805
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.11s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.639
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.849
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.827
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.602
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.646
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.502
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.792
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.792
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.784
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.792
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.13s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.728
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.904
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.886
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.715
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.721
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.542
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.834
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.834
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.833
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.832
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.13s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.715
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.867
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.863
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.683
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.758
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.541
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.844
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.844
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.833
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.856
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.13s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.777
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.904
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.904
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.760
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.779
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.557
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.878
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.878
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.874
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.876
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.14s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.763
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.901
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.901
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.757
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.765
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.559
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.873
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.873
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.874
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.864
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.15s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.781
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.914
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.914
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.769
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.785
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.568
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.876
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.876
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.870
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.878
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.16s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.758
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.913
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.905
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.753
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.756
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.549
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.856
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.856
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.858
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.849
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.17s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.745
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.904
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.893
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.713
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.762
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.544
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.846
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.846
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.840
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.848
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.16s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.777
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.923
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.921
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.754
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.788
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.578
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.862
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.862
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.858
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.861
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.16s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.795
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.926
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.918
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.777
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.796
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.569
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.879
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.879
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.872
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.881
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.16s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.801
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.940
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.933
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.796
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.782
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.575
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.873
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.873
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.874
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.871
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.16s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.821
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.925
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.925
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.808
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.840
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.588
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.908
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.908
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.906
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.907
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.18s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.793
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.937
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.931
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.772
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.817
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.573
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.872
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.872
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.865
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.884
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=1.85s).
Accumulating evaluation results...
DONE (t=0.41s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.824
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.938
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.933
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.805
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.828
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.594
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.896
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.896
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.890
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.898
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.16s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.821
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.937
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.937
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.805
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.823
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.589
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.899
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.899
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.895
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.898
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.16s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.816
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.932
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.926
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.802
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.823
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.586
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.894
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.894
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.895
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.888
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.93s).
Accumulating evaluation results...
DONE (t=0.25s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.813
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.925
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.918
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.804
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.823
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.600
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.903
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.903
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.899
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.899
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.23s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.789
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.935
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.934
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.775
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.800
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.573
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.865
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.865
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.857
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.881
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.20s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.807
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.929
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.921
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.790
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.809
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.584
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.889
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.889
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.880
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.900
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.76s).
Accumulating evaluation results...
DONE (t=0.20s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.843
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.939
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.938
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.827
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.845
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.610
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.920
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.920
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.910
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.936
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.20s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.826
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.924
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.918
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.804
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.843
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.597
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.912
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.912
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.902
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.927
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.21s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.824
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.931
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.924
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.801
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.856
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.605
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.905
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.905
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.893
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.930
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.21s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.831
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.934
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.927
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.814
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.844
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.597
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.910
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.910
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.907
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.909
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.22s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.824
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.937
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.930
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.806
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.833
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.588
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.896
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.896
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.892
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.902
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.21s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.819
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.934
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.923
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.818
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.811
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.596
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.898
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.898
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.896
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.896
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.21s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.855
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.936
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.935
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.847
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.849
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.616
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.931
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.931
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.930
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.930
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.23s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.845
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.930
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.930
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.837
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.840
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.614
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.924
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.926
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.923
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.924
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.21s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.828
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.931
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.931
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.828
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.831
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.605
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.912
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.912
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.908
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.912
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.76s).
Accumulating evaluation results...
DONE (t=0.22s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.814
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.924
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.924
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.806
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.805
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.589
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.896
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.896
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.888
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.907
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.22s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.832
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.933
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.931
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.827
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.827
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.609
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.908
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.908
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.905
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.908
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.22s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.827
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.923
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.923
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.815
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.830
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.606
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.916
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.916
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.906
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.930
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.23s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.836
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.933
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.933
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.828
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.837
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.606
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.914
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.914
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.908
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.924
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.26s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.838
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.942
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.941
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.827
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.832
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.606
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.902
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.904
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.898
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.910
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.24s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.853
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.944
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.943
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.845
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.853
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.615
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.924
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.924
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.919
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.928
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.27s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.841
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.941
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.941
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.828
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.845
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.605
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.911
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.911
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.903
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.921
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.24s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.803
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.948
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.946
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.794
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.798
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.583
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.870
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.870
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.862
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.877
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.25s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.853
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.937
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.937
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.836
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.872
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.599
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.929
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.929
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.923
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.938
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.25s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.838
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.938
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.938
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.828
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.839
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.606
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.917
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.917
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.914
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.918
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.24s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.829
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.941
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.941
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.812
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.842
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.592
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.910
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.910
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.900
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.925
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.26s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.839
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.938
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.938
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.825
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.847
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.613
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.919
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.919
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.916
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.917
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.29s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.843
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.942
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.942
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.826
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.863
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.610
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.914
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.914
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.907
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.923
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.27s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.844
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.929
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.929
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.829
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.860
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.611
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.928
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.928
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.924
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.927
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.30s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.841
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.938
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.938
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.821
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.870
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.609
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.915
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.915
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.905
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.932
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.28s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.863
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.944
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.944
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.846
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.881
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.619
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.936
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.936
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.929
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.942
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.29s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.871
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.947
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.947
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.854
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.886
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.618
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.938
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.938
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.930
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.945
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.29s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.863
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.952
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.952
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.852
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.875
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.619
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.926
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.926
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.920
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.933
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.28s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.862
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.950
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.950
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.849
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.863
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.621
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.929
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.929
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.925
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.932
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.30s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.849
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.930
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.930
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.835
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.858
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.611
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.932
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.932
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.929
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.932
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.31s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.869
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.952
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.952
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.853
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.886
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.617
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.930
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.930
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.923
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.940
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.31s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.865
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.948
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.948
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.853
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.871
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.618
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.932
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.932
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.928
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.937
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.31s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.843
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.933
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.933
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.833
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.842
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.602
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.923
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.923
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.918
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.925
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.30s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.863
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.946
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.946
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.851
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.870
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.615
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.932
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.932
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.930
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.930
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.32s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.848
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.936
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.936
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.840
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.848
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.604
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.928
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.928
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.926
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.926
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.32s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.857
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.942
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.942
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.848
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.858
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.606
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.928
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.928
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.928
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.927
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.30s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.864
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.954
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.954
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.858
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.865
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.612
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.925
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.925
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.921
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.932
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.34s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.856
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.944
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.944
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.843
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.858
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.612
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.927
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.927
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.919
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.933
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.32s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.876
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.954
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.954
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.866
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.885
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.622
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.936
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.936
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.932
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.944
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.33s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.859
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.939
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.939
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.847
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.870
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.619
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.931
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.931
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.926
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.932
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.34s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.869
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.954
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.954
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.856
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.876
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.619
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.931
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.931
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.926
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.928
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.34s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.866
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.943
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.943
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.850
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.881
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.625
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.938
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.938
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.930
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.950
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.77s).
Accumulating evaluation results...
DONE (t=0.31s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.863
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.943
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.943
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.851
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.878
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.615
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.929
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.929
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.926
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.936
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.37s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.850
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.940
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.940
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.837
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.858
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.610
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.923
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.926
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.922
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.920
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.84s).
Accumulating evaluation results...
DONE (t=0.34s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.861
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.945
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.945
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.844
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.872
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.611
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.927
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.927
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.924
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.927
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.35s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.874
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.940
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.940
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.851
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.898
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.627
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.943
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.943
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.934
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.952
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.37s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.854
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.936
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.936
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.848
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.851
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.615
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.930
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.930
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.927
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.933
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.36s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.854
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.940
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.940
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.837
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.866
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.613
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.929
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.929
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.924
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.935
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.81s).
Accumulating evaluation results...
DONE (t=0.37s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.865
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.852
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.868
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.616
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.930
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.930
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.922
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.941
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.37s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.876
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.954
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.954
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.860
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.890
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.624
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.936
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.936
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.928
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.947
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.39s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.875
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.861
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.879
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.620
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.940
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.940
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.933
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.945
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.40s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.850
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.942
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.942
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.837
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.857
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.611
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.922
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.922
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.917
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.924
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.36s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.865
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.942
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.940
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.845
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.887
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.620
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.931
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.931
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.925
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.932
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.37s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.858
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.953
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.951
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.839
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.875
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.608
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.916
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.916
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.908
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.926
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.36s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.850
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.952
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.952
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.840
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.848
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.606
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.914
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.914
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.912
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.916
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.39s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.862
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.947
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.947
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.840
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.879
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.611
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.932
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.932
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.923
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.943
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.37s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.864
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.950
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.950
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.847
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.888
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.619
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.930
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.930
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.918
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.943
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.40s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.870
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.955
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.955
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.860
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.882
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.620
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.934
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.934
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.926
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.941
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.40s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.876
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.954
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.954
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.862
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.891
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.628
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.939
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.939
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.930
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.949
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.81s).
Accumulating evaluation results...
DONE (t=0.40s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.861
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.946
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.946
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.838
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.891
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.622
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.928
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.928
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.919
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.941
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.81s).
Accumulating evaluation results...
DONE (t=0.46s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.873
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.857
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.885
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.622
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.938
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.938
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.930
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.947
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.44s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.886
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.869
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.896
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.632
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.950
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.950
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.943
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.957
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.41s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.881
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.950
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.950
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.863
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.902
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.631
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.945
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.945
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.934
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.962
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.40s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.879
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.861
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.895
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.626
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.944
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.944
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.936
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.953
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.41s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.863
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.940
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.940
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.844
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.886
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.615
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.936
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.936
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.933
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.942
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.43s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.876
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.859
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.907
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.625
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.943
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.943
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.934
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.959
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.46s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.875
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.953
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.953
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.863
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.885
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.626
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.941
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.941
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.934
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.950
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.81s).
Accumulating evaluation results...
DONE (t=0.41s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.882
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.954
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.954
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.871
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.887
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.634
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.943
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.943
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.939
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.942
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.41s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.885
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.957
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.957
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.870
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.903
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.632
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.944
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.944
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.936
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.959
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.45s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.876
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.954
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.954
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.865
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.881
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.627
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.941
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.941
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.937
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.940
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.84s).
Accumulating evaluation results...
DONE (t=0.41s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.891
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.948
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.948
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.872
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.910
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.628
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.958
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.958
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.952
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.960
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.81s).
Accumulating evaluation results...
DONE (t=0.42s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.873
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.855
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.889
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.623
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.939
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.939
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.932
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.950
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.45s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.856
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.844
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.875
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.610
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.924
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.924
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.920
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.931
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.45s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.865
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.935
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.935
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.844
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.890
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.625
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.947
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.947
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.942
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.955
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.84s).
Accumulating evaluation results...
DONE (t=0.47s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.877
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.945
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.945
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.858
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.901
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.625
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.946
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.946
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.936
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.959
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.81s).
Accumulating evaluation results...
DONE (t=0.43s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.883
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.948
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.948
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.863
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.908
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.633
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.948
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.948
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.937
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.967
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.83s).
Accumulating evaluation results...
DONE (t=0.43s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.880
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.955
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.955
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.864
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.901
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.640
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.943
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.943
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.930
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.962
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.82s).
Accumulating evaluation results...
DONE (t=0.44s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.876
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.954
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.954
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.862
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.886
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.625
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.937
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.937
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.928
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.947
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.52s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.866
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.935
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.935
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.858
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.878
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.629
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.947
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.947
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.936
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.964
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.45s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.882
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.948
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.948
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.873
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.896
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.624
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.946
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.946
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.940
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.954
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.46s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.887
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.948
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.948
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.885
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.894
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.636
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.953
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.953
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.948
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.964
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.81s).
Accumulating evaluation results...
DONE (t=0.52s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.865
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.948
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.948
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.858
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.874
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.621
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.934
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.934
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.927
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.948
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.81s).
Accumulating evaluation results...
DONE (t=0.52s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.874
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.953
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.953
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.865
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.879
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.624
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.938
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.938
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.932
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.945
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.51s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.881
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.950
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.950
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.878
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.881
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.632
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.949
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.949
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.945
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.948
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.51s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.876
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.856
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.897
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.629
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.943
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.943
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.934
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.956
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.49s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.877
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.955
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.955
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.867
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.887
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.619
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.937
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.937
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.932
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.947
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.81s).
Accumulating evaluation results...
DONE (t=0.54s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.876
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.861
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.891
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.631
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.940
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.940
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.934
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.947
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.78s).
Accumulating evaluation results...
DONE (t=0.51s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.896
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.957
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.957
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.879
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.911
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.637
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.954
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.954
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.947
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.962
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.55s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.887
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.964
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.964
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.874
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.892
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.628
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.940
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.940
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.934
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.945
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.51s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.911
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.959
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.959
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.898
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.922
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.646
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.963
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.963
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.955
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.971
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.50s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.892
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.957
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.957
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.880
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.906
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.634
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.949
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.949
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.943
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.953
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.81s).
Accumulating evaluation results...
DONE (t=0.51s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.880
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.960
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.960
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.885
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.856
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.625
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.937
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.937
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.942
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.915
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.55s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.890
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.961
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.961
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.872
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.908
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.630
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.947
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.947
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.938
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.954
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.79s).
Accumulating evaluation results...
DONE (t=0.51s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.898
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.960
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.960
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.884
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.913
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.633
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.950
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.950
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.940
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.964
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.51s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.891
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.955
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.955
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.877
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.906
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.627
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.950
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.950
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.943
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.961
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.96s).
Accumulating evaluation results...
DONE (t=0.56s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.875
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.946
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.944
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.859
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.885
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.623
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.944
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.944
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.939
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.951
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.86s).
Accumulating evaluation results...
DONE (t=0.52s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.894
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.954
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.954
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.881
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.901
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.631
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.955
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.955
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.950
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.957
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.82s).
Accumulating evaluation results...
DONE (t=0.50s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.878
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.950
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.950
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.858
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.894
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.620
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.946
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.946
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.941
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.952
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.82s).
Accumulating evaluation results...
DONE (t=0.50s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.899
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.956
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.956
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.882
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.907
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.631
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.955
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.955
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.947
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.958
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.88s).
Accumulating evaluation results...
DONE (t=0.60s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.898
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.953
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.953
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.889
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.909
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.632
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.959
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.959
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.954
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.963
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.64s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.885
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.880
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.889
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.624
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.951
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.951
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.946
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.952
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.96s).
Accumulating evaluation results...
DONE (t=0.62s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.888
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.959
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.959
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.872
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.903
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.626
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.945
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.945
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.936
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.958
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.83s).
Accumulating evaluation results...
DONE (t=0.58s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.886
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.956
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.956
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.874
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.895
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.633
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.944
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.944
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.935
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.956
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.63s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.900
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.953
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.953
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.887
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.914
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.634
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.954
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.954
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.947
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.965
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.81s).
Accumulating evaluation results...
DONE (t=0.66s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.901
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.955
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.955
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.891
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.905
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.642
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.958
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.958
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.952
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.963
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.81s).
Accumulating evaluation results...
DONE (t=0.67s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.900
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.960
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.960
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.882
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.910
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.637
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.951
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.951
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.943
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.961
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.64s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.890
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.962
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.962
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.879
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.895
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.621
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.943
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.943
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.938
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.946
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.82s).
Accumulating evaluation results...
DONE (t=0.58s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.899
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.962
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.962
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.891
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.904
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.627
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.951
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.951
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.946
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.958
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.81s).
Accumulating evaluation results...
DONE (t=0.57s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.876
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.958
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.958
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.867
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.888
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.619
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.931
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.931
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.928
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.931
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.81s).
Accumulating evaluation results...
DONE (t=0.62s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.877
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.949
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.850
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.904
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.618
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.942
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.942
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.931
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.954
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.80s).
Accumulating evaluation results...
DONE (t=0.63s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.908
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.965
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.965
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.904
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.908
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.630
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.954
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.954
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.954
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.955
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.81s).
Accumulating evaluation results...
DONE (t=0.59s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.909
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.960
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.958
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.897
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.922
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.639
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.959
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.959
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.950
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.971
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.81s).
Accumulating evaluation results...
DONE (t=0.62s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.893
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.960
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.960
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.886
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.889
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.634
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.946
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.946
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.942
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.944
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.81s).
Accumulating evaluation results...
DONE (t=0.63s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.888
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.964
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.964
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.882
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.883
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.629
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.940
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.940
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.941
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.934
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

(zhouying2) F:TensorflowProjectObjectDetectionmodels-1.12.0 esearch>
(zhouying2) F:TensorflowProjectObjectDetectionmodels-1.12.0 esearch>
(zhouying2) F:TensorflowProjectObjectDetectionmodels-1.12.0 esearch>
(zhouying2) F:TensorflowProjectObjectDetectionmodels-1.12.0 esearch>
(zhouying2) F:TensorflowProjectObjectDetectionmodels-1.12.0 esearch>