分割网络

from openvino.inference_engine import IECore
import numpy as np
import time
import cv2 as cv

def ssd_video_demo():
    ie = IECore()
    for device in ie.available_devices:
        print(device)

    model_xml = "/home/bhc/BHC/model/intel/semantic-segmentation-adas-0001/FP16/semantic-segmentation-adas-0001.xml"
    model_bin = "/home/bhc/BHC/model/intel/semantic-segmentation-adas-0001/FP16/semantic-segmentation-adas-0001.bin"

    net = ie.read_network(model=model_xml, weights=model_bin)
    input_blob = next(iter(net.input_info))
    out_blob = next(iter(net.outputs))

    n, c, h, w = net.input_info[input_blob].input_data.shape
    print(n, c, h, w)

    cap = cv.VideoCapture("2.mp4")
    exec_net = ie.load_network(network=net, device_name="CPU")

    while True:
        ret, frame = cap.read()
        if ret is not True:
            break
        image = cv.resize(frame, (w, h))
        image = image.transpose(2, 0, 1)
        inf_start = time.time()
        res = exec_net.infer(inputs={input_blob:[image]})
        inf_end = time.time() - inf_start
        res = res[out_blob]                                             #(1, 1, 1024, 2048) 1:每一个像素的类别的标签
        res = np.squeeze(res, 0)
        res = res.transpose(1, 2, 0)
        # res = np.squeeze(res, 2)
        hh, ww, c = res.shape
        res = res.reshape((hh, ww))
        mask = np.zeros((hh, ww, 3), dtype=np.uint8)                    
        for i in range(20):                                            #20个类别，每个对象进行颜色变更
            mask[np.where(res > i)] = (np.random.randint(0, 255), np.random.randint(0, 255), np.random.randint(0, 255)) 
        mask = cv.resize(mask, (frame.shape[1], frame.shape[0]))
        result = cv.addWeighted(frame, 0.5, mask, 0.5, 0)               #进行融合
        cv.putText(result, "infer time(ms): %.3f, FPS: %.2f"%(inf_end*1000, 1/(inf_end+0.0001)), (10, 50),
                   cv.FONT_HERSHEY_SIMPLEX, 1.0, (255, 0, 255), 2, 8)
        cv.imshow("semantic segmentation Demo", result)
        c = cv.waitKey(1)
        if c == 27:
            break
    cv.waitKey(0)
    cv.destroyAllWindows()


if __name__ == "__main__":
    ssd_video_demo()