• paddlex 使用-12 easydl使用,报config.json错误问题处理


     替换如下代码为

    package com.baidu.ai.edge.demo;
    
    import android.Manifest;
    import android.content.pm.PackageManager;
    import android.graphics.Bitmap;
    import android.support.annotation.NonNull;
    import android.support.v4.app.ActivityCompat;
    import android.util.Log;
    import android.widget.PopupMenu;
    import android.widget.Toast;
    
    import com.baidu.ai.edge.core.base.BaseConfig;
    import com.baidu.ai.edge.core.base.BaseException;
    import com.baidu.ai.edge.core.base.Consts;
    import com.baidu.ai.edge.core.classify.ClassificationResultModel;
    import com.baidu.ai.edge.core.classify.ClassifyException;
    import com.baidu.ai.edge.core.classify.ClassifyInterface;
    import com.baidu.ai.edge.core.classify.ClassifyOnline;
    import com.baidu.ai.edge.core.ddk.DDKConfig;
    import com.baidu.ai.edge.core.ddk.DDKManager;
    import com.baidu.ai.edge.core.detect.DetectInterface;
    import com.baidu.ai.edge.core.detect.DetectOnline;
    import com.baidu.ai.edge.core.detect.DetectionResultModel;
    import com.baidu.ai.edge.core.infer.ArmGpuConfig;
    import com.baidu.ai.edge.core.infer.DDKDaVinciConfig;
    import com.baidu.ai.edge.core.infer.InferConfig;
    import com.baidu.ai.edge.core.infer.InferManager;
    import com.baidu.ai.edge.core.ocr.OcrInterface;
    import com.baidu.ai.edge.core.ocr.OcrResultModel;
    import com.baidu.ai.edge.core.segment.SegmentInterface;
    import com.baidu.ai.edge.core.segment.SegmentationResultModel;
    import com.baidu.ai.edge.core.snpe.SnpeConfig;
    import com.baidu.ai.edge.core.snpe.SnpeManager;
    import com.baidu.ai.edge.core.util.HttpUtil;
    import com.baidu.ai.edge.core.util.Util;
    import com.baidu.ai.edge.ui.activity.MainActivity;
    import com.baidu.ai.edge.ui.activity.ResultListener;
    import com.baidu.ai.edge.ui.util.ThreadPoolManager;
    import com.baidu.ai.edge.ui.util.UiLog;
    import com.baidu.ai.edge.ui.view.model.BasePolygonResultModel;
    import com.baidu.ai.edge.ui.view.model.ClassifyResultModel;
    import com.baidu.ai.edge.ui.view.model.DetectResultModel;
    import com.baidu.ai.edge.ui.view.model.OcrViewResultModel;
    import com.baidu.ai.edge.ui.view.model.SegmentResultModel;
    
    import java.util.ArrayList;
    import java.util.List;
    
    
    /**
     * Created by ruanshimin on 2018/10/31.
     */
    
    public class CameraActivity extends MainActivity {
    
        private String serialNum;
    
        ClassifyInterface mClassifyDLManager;
        ClassifyInterface mOnlineClassify;
        DetectInterface mDetectManager;
        DetectInterface mOnlineDetect;
        SegmentInterface mSegmentManager;
        OcrInterface mOcrManager;
    
    
        private static final int CODE_FOR_WRITE_PERMISSION = 0;
    
        private int platform = Consts.TYPE_INFER;
    
        private boolean isInitializing = false;
    
        private boolean hasOnlineApi = false;
        // 模型加载状态
        private boolean modelLoadStatus = false;
    
        @Override
        /*
          onCreate中调用
         */
        public void onActivityCreate() {
            int hasWriteStoragePermission =
                    ActivityCompat.checkSelfPermission(getApplication(),
                            Manifest.permission.WRITE_EXTERNAL_STORAGE);
            if (hasWriteStoragePermission == PackageManager.PERMISSION_GRANTED) {
                start();
            } else {
                ActivityCompat.requestPermissions(this,
                        new String[]{Manifest.permission.WRITE_EXTERNAL_STORAGE},
                        CODE_FOR_WRITE_PERMISSION);
            }
            choosePlatform();
        }
    
        private void choosePlatform() {
            String soc = getIntent().getStringExtra("soc");
            switch (soc) {
                case "dsp":
                    platform = Consts.TYPE_SNPE;
                    break;
                case "npu-vinci":
                    platform = Consts.TYPE_DDK_DAVINCI;
                    break;
                case "npu150":
                    platform = Consts.TYPE_DDK150;
                    break;
                case "npu200":
                    platform = Consts.TYPE_DDK200;
                    break;
                case "arm-gpu":
                    platform = Consts.TYPE_ARM_GPU;
                    break;
                default:
                case "arm":
                    platform = Consts.TYPE_INFER;
            }
        }
    
    
        private void start() {
            // paddleLite需要保证初始化与预测在同一线程保证速度
            ThreadPoolManager.executeSingle(() -> {
                initManager();
                runOnUiThread(() -> {
                    if (((model == MODEL_DETECT || model == MODEL_FACE_DETECT) && mDetectManager != null) ||
                            (model == MODEL_CLASSIFY && mClassifyDLManager != null) ||
                            (model == MODEL_SEGMENT && mSegmentManager != null) ||
                            (model == MODEL_OCR && mOcrManager != null)) {
                        modelLoadStatus = true;
                        updateTakePictureButtonStatus();
                    }
                });
            });
        }
    
        private void updateTakePictureButtonStatus() {
            if (modelLoadStatus || isOnline) {
                setTakePictureButtonAvailable(true);
            }
            if (!isOnline && !modelLoadStatus) {
                setTakePictureButtonAvailable(false);
            }
        }
    
        /**
         * 此处简化,建议一个mDetectManager对象在同一线程中调用
         */
        @Override
        public void onActivityDestory() {
            releaseEasyDL();
        }
    
    
        /**
         * 新线程中调用 ,从照相机中获取bitmap
         *
         * @param bitmap     RGBA格式
         * @param confidence [0-1)
         * @return
         */
        @Override
        public void onDetectBitmap(Bitmap bitmap, float confidence,
                                   final ResultListener.DetectListener listener) {
    
            if (isOnline) {
                mOnlineDetect.detect(bitmap, confidence,
                        new DetectInterface.OnResultListener() {
                            @Override
                            public void onResult(List<DetectionResultModel> result) {
                                listener.onResult(fillDetectionResultModel(result));
                            }
    
                            @Override
                            public void onError(BaseException ex) {
                                listener.onResult(null);
                                showError(ex);
                            }
                        });
                return;
            }
    
            if (mDetectManager == null) {
                showMessage("模型初始化中,请稍后");
                listener.onResult(null);
                return;
            }
            try {
                List<DetectionResultModel> modelList = mDetectManager.detect(bitmap, confidence);
                listener.onResult(fillDetectionResultModel(modelList));
            } catch (BaseException e) {
                showError(e);
                listener.onResult(null);
            }
        }
    
        private List<BasePolygonResultModel> fillDetectionResultModel(
                List<DetectionResultModel> modelList) {
            List<BasePolygonResultModel> results = new ArrayList<>();
            for (int i = 0; i < modelList.size(); i++) {
                DetectionResultModel mDetectionResultModel = modelList.get(i);
                DetectResultModel mDetectResultModel = new DetectResultModel();
                mDetectResultModel.setIndex(i + 1);
                mDetectResultModel.setConfidence(mDetectionResultModel.getConfidence());
                mDetectResultModel.setName(mDetectionResultModel.getLabel());
                mDetectResultModel.setBounds(mDetectionResultModel.getBounds());
                results.add(mDetectResultModel);
            }
            return results;
        }
    
        @Override
        public void onClassifyBitmap(Bitmap bitmap, float confidence,
                                     final ResultListener.ClassifyListener listener) {
            if (isOnline) {
                mOnlineClassify.classify(bitmap, new ClassifyInterface.OnResultListener() {
                    @Override
                    public void onResult(List<ClassificationResultModel> result) {
                        listener.onResult(fillClassificationResultModel(result));
                    }
    
                    @Override
                    public void onError(BaseException ex) {
                        listener.onResult(null);
                        showError(ex);
                    }
                });
                return;
            }
    
            if (mClassifyDLManager == null) {
                showMessage("模型初始化中,请稍后");
                listener.onResult(null);
                return;
            }
            try {
                List<ClassificationResultModel> modelList = mClassifyDLManager.classify(bitmap, confidence);
                listener.onResult(fillClassificationResultModel(modelList));
            } catch (BaseException e) {
                showError(e);
                listener.onResult(null);
            }
        }
    
        @Override
        public void onSegmentBitmap(Bitmap bitmap, float confidence, final ResultListener.SegmentListener listener) {
            if (mSegmentManager == null) {
                showMessage("模型初始化中,请稍后");
                listener.onResult(null);
                return;
            }
    
            List<SegmentationResultModel> resultModels = null;
            try {
                resultModels = mSegmentManager.segment(bitmap, confidence);
                List<BasePolygonResultModel> results = new ArrayList<>();
                for (int i = 0; i < resultModels.size(); i++) {
                    SegmentationResultModel mSegmentationResultModel = resultModels.get(i);
                    SegmentResultModel mSegmentResultModel = new SegmentResultModel();
                    mSegmentResultModel.setColorId(mSegmentationResultModel.getLabelIndex());
                    mSegmentResultModel.setIndex(i + 1);
                    mSegmentResultModel.setConfidence(mSegmentationResultModel.getConfidence());
                    mSegmentResultModel.setName(mSegmentationResultModel.getLabel());
                    mSegmentResultModel.setBounds(mSegmentationResultModel.getBox());
                    mSegmentResultModel.setMask(mSegmentationResultModel.getMask());
                    results.add(mSegmentResultModel);
                }
    
                listener.onResult(results);
            } catch (BaseException e) {
                showError(e);
                listener.onResult(null);
            }
    
        }
    
        @Override
        public void onOcrBitmap(Bitmap bitmap, float confidence, ResultListener.OcrListener listener) {
            List<OcrResultModel> modelList = null;
            try {
                modelList = mOcrManager.ocr(bitmap, confidence);
                List<BasePolygonResultModel> results = new ArrayList<>();
                for (int i = 0; i < modelList.size(); i++) {
                    OcrResultModel mOcrResultModel = modelList.get(i);
                    OcrViewResultModel mOcrViewResultModel = new OcrViewResultModel();
                    mOcrViewResultModel.setColorId(mOcrResultModel.getLabelIndex());
                    mOcrViewResultModel.setIndex(i + 1);
                    mOcrViewResultModel.setConfidence(mOcrResultModel.getConfidence());
                    mOcrViewResultModel.setName(mOcrResultModel.getLabel());
                    mOcrViewResultModel.setBounds(mOcrResultModel.getPoints());
                    mOcrViewResultModel.setTextOverlay(true);
                    results.add(mOcrViewResultModel);
                }
                listener.onResult(results);
            } catch (BaseException e) {
                showError(e);
                listener.onResult(null);
            }
        }
    
        private List<ClassifyResultModel> fillClassificationResultModel(
                List<ClassificationResultModel> modelList) {
            List<ClassifyResultModel> results = new ArrayList<>();
            for (int i = 0; i < modelList.size(); i++) {
                ClassificationResultModel mClassificationResultModel = modelList.get(i);
                ClassifyResultModel mClassifyResultModel = new ClassifyResultModel();
                mClassifyResultModel.setIndex(i + 1);
                mClassifyResultModel.setConfidence(mClassificationResultModel.getConfidence());
                mClassifyResultModel.setName(mClassificationResultModel.getLabel());
                results.add(mClassifyResultModel);
            }
            return results;
        }
    
        @Override
        public void dumpDetectResult(List<DetectResultModel> model, Bitmap bitmap, float min) {
    
        }
    
        @Override
        public void dumpClassifyResult(List<ClassifyResultModel> model, Bitmap bitmap, float min) {
    
        }
    
        private void showError(BaseException e) {
            showMessage(e.getErrorCode(), e.getMessage());
            Log.e("CameraActivity", e.getMessage(), e);
        }
    
        private void releaseEasyDL() {
            if (model == MODEL_DETECT || model == MODEL_FACE_DETECT) {
                if (mDetectManager != null) {
                    try {
                        mDetectManager.destroy();
                    } catch (BaseException e) {
                        showError(e);
                    }
                }
            }
            if (model == MODEL_CLASSIFY) {
                if (mClassifyDLManager != null) {
                    try {
                        mClassifyDLManager.destroy();
                    } catch (ClassifyException e) {
                        showError(e);
                    } catch (BaseException e) {
                        e.printStackTrace();
                    }
                }
            }
            if (model == MODEL_SEGMENT) {
                if (mSegmentManager != null) {
                    try {
                        mSegmentManager.destroy();
                    } catch (ClassifyException e) {
                        showError(e);
                    } catch (BaseException e) {
                        e.printStackTrace();
                    }
                }
            }
            if (model == MODEL_OCR) {
                if (mOcrManager != null) {
                    try {
                        mOcrManager.destroy();
                    } catch (ClassifyException e) {
                        showError(e);
                    } catch (BaseException e) {
                        e.printStackTrace();
                    }
                }
            }
        }
    
        @Override
        public void onBackPressed() {
            if (pageCode == PAGE_CAMERA && !isInitializing) {
                showMessage("模型未初始化");
            } else {
                super.onBackPressed();
            }
    
        }
    
    
        @Override
        public void onRequestPermissionsResult(int requestCode, @NonNull String[] permissions,
                                               @NonNull int[] grantResults) {
            super.onRequestPermissionsResult(requestCode, permissions, grantResults);
            if (requestCode == CODE_FOR_WRITE_PERMISSION) {
                if (grantResults.length > 0 && grantResults[0] == PackageManager.PERMISSION_GRANTED) {
                    start();
                } else {
                    Toast.makeText(getApplicationContext(),
                            "需要android.permission.READ_PHONE_STATE", Toast.LENGTH_LONG).show();
                }
            }
        }
    
        // 是离线还是在线模式
        private boolean isOnline = false;
    
        @Override
        protected void onSetMenu(PopupMenu actionBarMenu) {
            if (!HttpUtil.isOnline(this) || !hasOnlineApi) {
                actionBarMenu.getMenu().findItem(R.id.online_mode).setEnabled(false);
            }
            if (isOnline) {
                actionBarMenu.getMenu().findItem(R.id.online_mode).setChecked(true);
            } else {
                actionBarMenu.getMenu().findItem(R.id.offline_mode).setChecked(true);
            }
        }
    
        @Override
        protected void onSetMenuItem(boolean isOnline) {
            if (this.isOnline == isOnline) {
                return;
            }
            this.isOnline = isOnline;
            updateTakePictureButtonStatus();
        }
    
        private void initManager() {
            serialNum = getIntent().getStringExtra("serial_num");
            String apiUrl = getIntent().getStringExtra("apiUrl");
            String ak = getIntent().getStringExtra("ak");
            String sk = getIntent().getStringExtra("sk");
    
            float threshold = BaseConfig.DEFAULT_THRESHOLD;
    
            if (apiUrl != null) {
                hasOnlineApi = true;
            }
            UiLog.info("model type is" + model);
            if (model == MODEL_DETECT || model == MODEL_FACE_DETECT) {
                if (hasOnlineApi) {
                    mOnlineDetect = new DetectOnline(apiUrl, ak, sk, this);
                }
                try {
                    switch (platform) {
                        case Consts.TYPE_DDK200:
                            DDKConfig mDetectConfig = new DDKConfig(getAssets(),
                                    "ddk", platform);
                            threshold = mDetectConfig.getRecommendedConfidence();
                            mDetectManager = new DDKManager(this, mDetectConfig, serialNum);
                            break;
                        case Consts.TYPE_SNPE:
                            SnpeConfig mSnpeClassifyConfig = new SnpeConfig(this.getAssets(),
                                    "snpe");
                            threshold = mSnpeClassifyConfig.getRecommendedConfidence();
                            mDetectManager = new SnpeManager(this, mSnpeClassifyConfig, serialNum);
                            break;
                        case Consts.TYPE_DDK_DAVINCI:
                            DDKDaVinciConfig mDDKDaVinciConfig = new DDKDaVinciConfig(this.getAssets(),
                                    "infer-davinci");
                            threshold = mDDKDaVinciConfig.getRecommendedConfidence();
                            mDetectManager = new InferManager(this, mDDKDaVinciConfig, serialNum);
                            break;
                        case Consts.TYPE_ARM_GPU:
                            ArmGpuConfig mArmGpuConfig = new ArmGpuConfig(getAssets(),
                                    "infer-gpu");
                            threshold = mArmGpuConfig.getRecommendedConfidence();
                            mDetectManager = new InferManager(this, mArmGpuConfig, serialNum);
                            break;
                        case Consts.TYPE_INFER:
                        default:
                            InferConfig mInferConfig = new InferConfig(getAssets(),
                                    "infer");
                            // 可修改ARM推断使用的CPU核数
                            mInferConfig.setThread(Util.getInferCores());
                            threshold = mInferConfig.getRecommendedConfidence();
                            mDetectManager = new InferManager(this, mInferConfig, serialNum);
                            break;
                    }
    
                    canAutoRun = true;
                    isInitializing = true;
                } catch (BaseException e) {
                    showError(e);
                }
            }
            if (model == MODEL_CLASSIFY) {
                if (hasOnlineApi) {
                    mOnlineClassify = new ClassifyOnline(apiUrl, ak, sk, this);
                }
                try {
                    switch (platform) {
                        case Consts.TYPE_DDK150:
                        case Consts.TYPE_DDK200:
                            threshold = initDDK(platform);
                            break;
                        case Consts.TYPE_DDK_DAVINCI:
                            DDKDaVinciConfig mDDKDaVinciConfig = new DDKDaVinciConfig(this.getAssets(),
                                    "infer");
                            threshold = mDDKDaVinciConfig.getRecommendedConfidence();
                            mClassifyDLManager = new InferManager(this, mDDKDaVinciConfig, serialNum);
                            break;
                        case Consts.TYPE_SNPE:
                            SnpeConfig mSnpeClassifyConfig = new SnpeConfig(this.getAssets(),
                                    "snpe");
                            threshold = mSnpeClassifyConfig.getRecommendedConfidence();
                            mClassifyDLManager = new SnpeManager(this, mSnpeClassifyConfig, serialNum);
                            break;
                        case Consts.TYPE_ARM_GPU:
                            ArmGpuConfig mArmGpuConfig = new ArmGpuConfig(getAssets(),
                                    "infer-gpu");
                            threshold = mArmGpuConfig.getRecommendedConfidence();
                            mClassifyDLManager = new InferManager(this, mArmGpuConfig, serialNum);
                            break;
                        case Consts.TYPE_INFER:
                        default:
                            threshold = initInfer();
                            break;
                    }
    
                    canAutoRun = true;
                    isInitializing = true;
                } catch (BaseException e) {
                    showError(e);
                    Log.e("CameraActivity", e.getClass().getSimpleName() + ":" + e.getErrorCode() + ":" + e.getMessage());
                }
            }
    
            if (model == MODEL_SEGMENT) {
                InferConfig mInferConfig = null;
                try {
                    mInferConfig = new InferConfig(getAssets(), "infer");
                    mInferConfig.setThread(Util.getInferCores());
                    threshold = mInferConfig.getRecommendedConfidence();
                    mSegmentManager = new InferManager(this, mInferConfig, serialNum);
                    canAutoRun = true;
                    isInitializing = true;
                } catch (BaseException e) {
                    showError(e);
                }
            }
    
            if (model == MODEL_OCR) {
                InferConfig mInferConfig = null;
                try {
                    mInferConfig = new InferConfig(getAssets(), "infer");
                    mInferConfig.setThread(Util.getInferCores());
                    threshold = mInferConfig.getRecommendedConfidence();
                    mOcrManager = new InferManager(this, mInferConfig, null);
                    canAutoRun = true;
                    isInitializing = true;
                } catch (BaseException e) {
                    showError(e);
                }
            }
    
            setConfidence(threshold);
        }
    
        private float initDDK(int type) throws BaseException {
            DDKConfig mClassifyConfig = new DDKConfig(getAssets(),
                    "ddk", type);
    
    
            mClassifyDLManager = new DDKManager(this, mClassifyConfig, serialNum);
            return mClassifyConfig.getRecommendedConfidence();
        }
    
        private float initInfer() throws BaseException {
            InferConfig mInferConfig = new InferConfig(getAssets(),
                    "infer");
            mInferConfig.setThread(Util.getInferCores());
            mClassifyDLManager = new InferManager(this, mInferConfig, serialNum);
            return mInferConfig.getRecommendedConfidence();
        }
    }
    

      

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  • 原文地址:https://www.cnblogs.com/zhaogaojian/p/14121098.html
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