move preprocess of det to cpp and add opencl

deploy/android_demo/app/src/main/cpp/ppredictor.cpp

@@ -2,9 +2,9 @@
 #include "common.h"
 
 namespace ppredictor {
-PPredictor::PPredictor(int thread_num, int net_flag,
+PPredictor::PPredictor(int use_opencl, int thread_num, int net_flag,
                        paddle::lite_api::PowerMode mode)
-    : _thread_num(thread_num), _net_flag(net_flag), _mode(mode) {}
+    : _use_opencl(use_opencl), _thread_num(thread_num), _net_flag(net_flag), _mode(mode) {}
 
 int PPredictor::init_nb(const std::string &model_content) {
   paddle::lite_api::MobileConfig config;
@@ -19,6 +19,36 @@ int PPredictor::init_from_file(const std::string &model_content) {
 }
 
 template <typename ConfigT> int PPredictor::_init(ConfigT &config) {
+  bool is_opencl_backend_valid = paddle::lite_api::IsOpenCLBackendValid(/*check_fp16_valid = false*/);
+  if (is_opencl_backend_valid) {
+    if (_use_opencl != 0) {
+      // Make sure you have write permission of the binary path.
+      // We strongly recommend each model has a unique binary name.
+      const std::string bin_path = "/data/local/tmp/";
+      const std::string bin_name = "lite_opencl_kernel.bin";
+      config.set_opencl_binary_path_name(bin_path, bin_name);
+
+      // opencl tune option
+      // CL_TUNE_NONE: 0
+      // CL_TUNE_RAPID: 1
+      // CL_TUNE_NORMAL: 2
+      // CL_TUNE_EXHAUSTIVE: 3
+      const std::string tuned_path = "/data/local/tmp/";
+      const std::string tuned_name = "lite_opencl_tuned.bin";
+      config.set_opencl_tune(paddle::lite_api::CL_TUNE_NORMAL, tuned_path, tuned_name);
+
+      // opencl precision option
+      // CL_PRECISION_AUTO: 0, first fp16 if valid, default
+      // CL_PRECISION_FP32: 1, force fp32
+      // CL_PRECISION_FP16: 2, force fp16
+      config.set_opencl_precision(paddle::lite_api::CL_PRECISION_FP32);
+      LOGI("device: running on gpu.");
+    }
+  } else {
+    LOGI("device: running on cpu.");
+    // you can give backup cpu nb model instead
+    // config.set_model_from_file(cpu_nb_model_dir);
+  }
   config.set_threads(_thread_num);
   config.set_power_mode(_mode);
   _predictor = paddle::lite_api::CreatePaddlePredictor(config);

deploy/android_demo/app/src/main/cpp/ppredictor.h

@@ -22,7 +22,7 @@ public:
 class PPredictor : public PPredictor_Interface {
 public:
   PPredictor(
-      int thread_num, int net_flag = 0,
+          int use_opencl, int thread_num, int net_flag = 0,
       paddle::lite_api::PowerMode mode = paddle::lite_api::LITE_POWER_HIGH);
 
   virtual ~PPredictor() {}
@@ -54,6 +54,7 @@ protected:
   template <typename ConfigT> int _init(ConfigT &config);
 
 private:
+    int _use_opencl;
   int _thread_num;
   paddle::lite_api::PowerMode _mode;
   std::shared_ptr<paddle::lite_api::PaddlePredictor> _predictor;

deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/Predictor.java

@@ -31,23 +31,19 @@ public class Predictor {
     protected float inferenceTime = 0;
     // Only for object detection
     protected Vector<String> wordLabels = new Vector<String>();
-    protected String inputColorFormat = "BGR";
-    protected long[] inputShape = new long[]{1, 3, 960};
-    protected float[] inputMean = new float[]{0.485f, 0.456f, 0.406f};
-    protected float[] inputStd = new float[]{1.0f / 0.229f, 1.0f / 0.224f, 1.0f / 0.225f};
+    protected int detLongSize = 960;
     protected float scoreThreshold = 0.1f;
     protected Bitmap inputImage = null;
     protected Bitmap outputImage = null;
     protected volatile String outputResult = "";
-    protected float preprocessTime = 0;
     protected float postprocessTime = 0;
 
 
     public Predictor() {
     }
 
-    public boolean init(Context appCtx, String modelPath, String labelPath, int cpuThreadNum, String cpuPowerMode) {
-        isLoaded = loadModel(appCtx, modelPath, cpuThreadNum, cpuPowerMode);
+    public boolean init(Context appCtx, String modelPath, String labelPath, int useOpencl, int cpuThreadNum, String cpuPowerMode) {
+        isLoaded = loadModel(appCtx, modelPath, useOpencl, cpuThreadNum, cpuPowerMode);
         if (!isLoaded) {
             return false;
         }
@@ -56,49 +52,18 @@ public class Predictor {
     }
 
 
-    public boolean init(Context appCtx, String modelPath, String labelPath, int cpuThreadNum, String cpuPowerMode,
-                        String inputColorFormat,
-                        long[] inputShape, float[] inputMean,
-                        float[] inputStd, float scoreThreshold) {
-        if (inputShape.length != 3) {
-            Log.e(TAG, "Size of input shape should be: 3");
-            return false;
-        }
-        if (inputMean.length != inputShape[1]) {
-            Log.e(TAG, "Size of input mean should be: " + Long.toString(inputShape[1]));
-            return false;
-        }
-        if (inputStd.length != inputShape[1]) {
-            Log.e(TAG, "Size of input std should be: " + Long.toString(inputShape[1]));
-            return false;
-        }
-        if (inputShape[0] != 1) {
-            Log.e(TAG, "Only one batch is supported in the image classification demo, you can use any batch size in " +
-                    "your Apps!");
-            return false;
-        }
-        if (inputShape[1] != 1 && inputShape[1] != 3) {
-            Log.e(TAG, "Only one/three channels are supported in the image classification demo, you can use any " +
-                    "channel size in your Apps!");
-            return false;
-        }
-        if (!inputColorFormat.equalsIgnoreCase("BGR")) {
-            Log.e(TAG, "Only  BGR color format is supported.");
-            return false;
-        }
-        boolean isLoaded = init(appCtx, modelPath, labelPath, cpuThreadNum, cpuPowerMode);
+    public boolean init(Context appCtx, String modelPath, String labelPath, int useOpencl, int cpuThreadNum, String cpuPowerMode,
+                        int detLongSize, float scoreThreshold) {
+        boolean isLoaded = init(appCtx, modelPath, labelPath, useOpencl, cpuThreadNum, cpuPowerMode);
         if (!isLoaded) {
             return false;
         }
-        this.inputColorFormat = inputColorFormat;
-        this.inputShape = inputShape;
-        this.inputMean = inputMean;
-        this.inputStd = inputStd;
+        this.detLongSize = detLongSize;
         this.scoreThreshold = scoreThreshold;
         return true;
     }
 
-    protected boolean loadModel(Context appCtx, String modelPath, int cpuThreadNum, String cpuPowerMode) {
+    protected boolean loadModel(Context appCtx, String modelPath, int useOpencl, int cpuThreadNum, String cpuPowerMode) {
         // Release model if exists
         releaseModel();
 
@@ -118,12 +83,13 @@ public class Predictor {
         }
 
         OCRPredictorNative.Config config = new OCRPredictorNative.Config();
+        config.useOpencl = useOpencl;
         config.cpuThreadNum = cpuThreadNum;
         config.cpuPower = cpuPowerMode;
         config.detModelFilename = realPath + File.separator + "det_db.nb";
         config.recModelFilename = realPath + File.separator + "rec_crnn.nb";
         config.clsModelFilename = realPath + File.separator + "cls.nb";
-        Log.e("Predictor", "model path" + config.detModelFilename + " ; " + config.recModelFilename + ";" + config.clsModelFilename);
+        Log.i("Predictor", "model path" + config.detModelFilename + " ; " + config.recModelFilename + ";" + config.clsModelFilename);
         paddlePredictor = new OCRPredictorNative(config);
 
         this.cpuThreadNum = cpuThreadNum;
@@ -170,82 +136,29 @@ public class Predictor {
     }
 
 
-    public boolean runModel() {
+    public boolean runModel(int run_det, int run_cls, int run_rec) {
         if (inputImage == null || !isLoaded()) {
             return false;
         }
 
-        // Pre-process image, and feed input tensor with pre-processed data
-
-        Bitmap scaleImage = Utils.resizeWithStep(inputImage, Long.valueOf(inputShape[2]).intValue(), 32);
-
-        Date start = new Date();
-        int channels = (int) inputShape[1];
-        int width = scaleImage.getWidth();
-        int height = scaleImage.getHeight();
-        float[] inputData = new float[channels * width * height];
-        if (channels == 3) {
-            int[] channelIdx = null;
-            if (inputColorFormat.equalsIgnoreCase("RGB")) {
-                channelIdx = new int[]{0, 1, 2};
-            } else if (inputColorFormat.equalsIgnoreCase("BGR")) {
-                channelIdx = new int[]{2, 1, 0};
-            } else {
-                Log.i(TAG, "Unknown color format " + inputColorFormat + ", only RGB and BGR color format is " +
-                        "supported!");
-                return false;
-            }
-
-            int[] channelStride = new int[]{width * height, width * height * 2};
-            int[] pixels = new int[width * height];
-            scaleImage.getPixels(pixels, 0, scaleImage.getWidth(), 0, 0, scaleImage.getWidth(), scaleImage.getHeight());
-            for (int i = 0; i < pixels.length; i++) {
-                int color = pixels[i];
-                float[] rgb = new float[]{(float) red(color) / 255.0f, (float) green(color) / 255.0f,
-                        (float) blue(color) / 255.0f};
-                inputData[i] = (rgb[channelIdx[0]] - inputMean[0]) / inputStd[0];
-                inputData[i + channelStride[0]] = (rgb[channelIdx[1]] - inputMean[1]) / inputStd[1];
-                inputData[i + channelStride[1]] = (rgb[channelIdx[2]] - inputMean[2]) / inputStd[2];
-            }
-        } else if (channels == 1) {
-            int[] pixels = new int[width * height];
-            scaleImage.getPixels(pixels, 0, scaleImage.getWidth(), 0, 0, scaleImage.getWidth(), scaleImage.getHeight());
-            for (int i = 0; i < pixels.length; i++) {
-                int color = pixels[i];
-                float gray = (float) (red(color) + green(color) + blue(color)) / 3.0f / 255.0f;
-                inputData[i] = (gray - inputMean[0]) / inputStd[0];
-            }
-        } else {
-            Log.i(TAG, "Unsupported channel size " + Integer.toString(channels) + ",  only channel 1 and 3 is " +
-                    "supported!");
-            return false;
-        }
-        float[] pixels = inputData;
-        Log.i(TAG, "pixels " + pixels[0] + " " + pixels[1] + " " + pixels[2] + " " + pixels[3]
-                + " " + pixels[pixels.length / 2] + " " + pixels[pixels.length / 2 + 1] + " " + pixels[pixels.length - 2] + " " + pixels[pixels.length - 1]);
-        Date end = new Date();
-        preprocessTime = (float) (end.getTime() - start.getTime());
-
         // Warm up
         for (int i = 0; i < warmupIterNum; i++) {
-            paddlePredictor.runImage(inputData, width, height, channels, inputImage);
+            paddlePredictor.runImage(inputImage, detLongSize, run_det, run_cls, run_rec);
         }
         warmupIterNum = 0; // do not need warm
         // Run inference
-        start = new Date();
-        ArrayList<OcrResultModel> results = paddlePredictor.runImage(inputData, width, height, channels, inputImage);
-        end = new Date();
+        Date start = new Date();
+        ArrayList<OcrResultModel> results = paddlePredictor.runImage(inputImage, detLongSize, run_det, run_cls, run_rec);
+        Date end = new Date();
         inferenceTime = (end.getTime() - start.getTime()) / (float) inferIterNum;
 
         results = postprocess(results);
-        Log.i(TAG, "[stat] Preprocess Time: " + preprocessTime
-                + " ; Inference Time: " + inferenceTime + " ;Box Size " + results.size());
+        Log.i(TAG, "[stat] Inference Time: " + inferenceTime + " ;Box Size " + results.size());
         drawResults(results);
 
         return true;
     }
 
-
     public boolean isLoaded() {
         return paddlePredictor != null && isLoaded;
     }
@@ -282,10 +195,6 @@ public class Predictor {
         return outputResult;
     }
 
-    public float preprocessTime() {
-        return preprocessTime;
-    }
-
     public float postprocessTime() {
         return postprocessTime;
     }
@@ -310,6 +219,7 @@ public class Predictor {
                 }
             }
             r.setLabel(word.toString());
+            r.setClsLabel(r.getClsIdx() == 1 ? "180" : "0");
         }
         return results;
     }
@@ -319,14 +229,22 @@ public class Predictor {
         for (int i = 0; i < results.size(); i++) {
             OcrResultModel result = results.get(i);
             StringBuilder sb = new StringBuilder("");
-            sb.append(result.getLabel());
-            sb.append(" ").append(result.getConfidence());
-            sb.append("; Points: ");
-            for (Point p : result.getPoints()) {
-                sb.append("(").append(p.x).append(",").append(p.y).append(") ");
+            if(result.getPoints().size()>0){
+                sb.append("; Det: ");
+                for (Point p : result.getPoints()) {
+                    sb.append("(").append(p.x).append(",").append(p.y).append(") ");
+                }
+            }
+            if(result.getLabel().length() > 0){
+                sb.append("\n Rec: ").append(result.getLabel());
+                sb.append(",").append(result.getConfidence());
+            }
+            if(result.getClsIdx()!=-1){
+                sb.append(" Cls: ").append(result.getClsLabel());
+                sb.append(",").append(result.getClsConfidence());
             }
             Log.i(TAG, sb.toString()); // show LOG in Logcat panel
-            outputResultSb.append(i + 1).append(": ").append(result.getLabel()).append("\n");
+            outputResultSb.append(i + 1).append(": ").append(sb.toString()).append("\n");
         }
         outputResult = outputResultSb.toString();
         outputImage = inputImage;
@@ -344,6 +262,9 @@ public class Predictor {
         for (OcrResultModel result : results) {
             Path path = new Path();
             List<Point> points = result.getPoints();
+            if(points.size()==0){
+                continue;
+            }
             path.moveTo(points.get(0).x, points.get(0).y);
             for (int i = points.size() - 1; i >= 0; i--) {
                 Point p = points.get(i);

deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/SettingsActivity.java

@@ -20,16 +20,13 @@ public class SettingsActivity extends AppCompatPreferenceActivity implements Sha
     ListPreference etImagePath = null;
     ListPreference lpCPUThreadNum = null;
     ListPreference lpCPUPowerMode = null;
-    ListPreference lpInputColorFormat = null;
-    EditTextPreference etInputShape = null;
-    EditTextPreference etInputMean = null;
-    EditTextPreference etInputStd = null;
+    EditTextPreference etDetLongSize = null;
     EditTextPreference etScoreThreshold = null;
 
     List<String> preInstalledModelPaths = null;
     List<String> preInstalledLabelPaths = null;
     List<String> preInstalledImagePaths = null;
-    List<String> preInstalledInputShapes = null;
+    List<String> preInstalledDetLongSizes = null;
     List<String> preInstalledCPUThreadNums = null;
     List<String> preInstalledCPUPowerModes = null;
     List<String> preInstalledInputColorFormats = null;
@@ -50,7 +47,7 @@ public class SettingsActivity extends AppCompatPreferenceActivity implements Sha
         preInstalledModelPaths = new ArrayList<String>();
         preInstalledLabelPaths = new ArrayList<String>();
         preInstalledImagePaths = new ArrayList<String>();
-        preInstalledInputShapes = new ArrayList<String>();
+        preInstalledDetLongSizes = new ArrayList<String>();
         preInstalledCPUThreadNums = new ArrayList<String>();
         preInstalledCPUPowerModes = new ArrayList<String>();
         preInstalledInputColorFormats = new ArrayList<String>();
@@ -63,10 +60,7 @@ public class SettingsActivity extends AppCompatPreferenceActivity implements Sha
         preInstalledImagePaths.add(getString(R.string.IMAGE_PATH_DEFAULT));
         preInstalledCPUThreadNums.add(getString(R.string.CPU_THREAD_NUM_DEFAULT));
         preInstalledCPUPowerModes.add(getString(R.string.CPU_POWER_MODE_DEFAULT));
-        preInstalledInputColorFormats.add(getString(R.string.INPUT_COLOR_FORMAT_DEFAULT));
-        preInstalledInputShapes.add(getString(R.string.INPUT_SHAPE_DEFAULT));
-        preInstalledInputMeans.add(getString(R.string.INPUT_MEAN_DEFAULT));
-        preInstalledInputStds.add(getString(R.string.INPUT_STD_DEFAULT));
+        preInstalledDetLongSizes.add(getString(R.string.DET_LONG_SIZE_DEFAULT));
         preInstalledScoreThresholds.add(getString(R.string.SCORE_THRESHOLD_DEFAULT));
 
         // Setup UI components
@@ -89,11 +83,7 @@ public class SettingsActivity extends AppCompatPreferenceActivity implements Sha
                 (ListPreference) findPreference(getString(R.string.CPU_THREAD_NUM_KEY));
         lpCPUPowerMode =
                 (ListPreference) findPreference(getString(R.string.CPU_POWER_MODE_KEY));
-        lpInputColorFormat =
-                (ListPreference) findPreference(getString(R.string.INPUT_COLOR_FORMAT_KEY));
-        etInputShape = (EditTextPreference) findPreference(getString(R.string.INPUT_SHAPE_KEY));
-        etInputMean = (EditTextPreference) findPreference(getString(R.string.INPUT_MEAN_KEY));
-        etInputStd = (EditTextPreference) findPreference(getString(R.string.INPUT_STD_KEY));
+        etDetLongSize = (EditTextPreference) findPreference(getString(R.string.DET_LONG_SIZE_KEY));
         etScoreThreshold = (EditTextPreference) findPreference(getString(R.string.SCORE_THRESHOLD_KEY));
     }
 
@@ -112,11 +102,7 @@ public class SettingsActivity extends AppCompatPreferenceActivity implements Sha
                 editor.putString(getString(R.string.IMAGE_PATH_KEY), preInstalledImagePaths.get(modelIdx));
                 editor.putString(getString(R.string.CPU_THREAD_NUM_KEY), preInstalledCPUThreadNums.get(modelIdx));
                 editor.putString(getString(R.string.CPU_POWER_MODE_KEY), preInstalledCPUPowerModes.get(modelIdx));
-                editor.putString(getString(R.string.INPUT_COLOR_FORMAT_KEY),
-                        preInstalledInputColorFormats.get(modelIdx));
-                editor.putString(getString(R.string.INPUT_SHAPE_KEY), preInstalledInputShapes.get(modelIdx));
-                editor.putString(getString(R.string.INPUT_MEAN_KEY), preInstalledInputMeans.get(modelIdx));
-                editor.putString(getString(R.string.INPUT_STD_KEY), preInstalledInputStds.get(modelIdx));
+                editor.putString(getString(R.string.DET_LONG_SIZE_KEY), preInstalledDetLongSizes.get(modelIdx));
                 editor.putString(getString(R.string.SCORE_THRESHOLD_KEY),
                         preInstalledScoreThresholds.get(modelIdx));
                 editor.apply();
@@ -129,10 +115,7 @@ public class SettingsActivity extends AppCompatPreferenceActivity implements Sha
         etImagePath.setEnabled(enableCustomSettings);
         lpCPUThreadNum.setEnabled(enableCustomSettings);
         lpCPUPowerMode.setEnabled(enableCustomSettings);
-        lpInputColorFormat.setEnabled(enableCustomSettings);
-        etInputShape.setEnabled(enableCustomSettings);
-        etInputMean.setEnabled(enableCustomSettings);
-        etInputStd.setEnabled(enableCustomSettings);
+        etDetLongSize.setEnabled(enableCustomSettings);
         etScoreThreshold.setEnabled(enableCustomSettings);
         modelPath = sharedPreferences.getString(getString(R.string.MODEL_PATH_KEY),
                 getString(R.string.MODEL_PATH_DEFAULT));
@@ -144,14 +127,8 @@ public class SettingsActivity extends AppCompatPreferenceActivity implements Sha
                 getString(R.string.CPU_THREAD_NUM_DEFAULT));
         String cpuPowerMode = sharedPreferences.getString(getString(R.string.CPU_POWER_MODE_KEY),
                 getString(R.string.CPU_POWER_MODE_DEFAULT));
-        String inputColorFormat = sharedPreferences.getString(getString(R.string.INPUT_COLOR_FORMAT_KEY),
-                getString(R.string.INPUT_COLOR_FORMAT_DEFAULT));
-        String inputShape = sharedPreferences.getString(getString(R.string.INPUT_SHAPE_KEY),
-                getString(R.string.INPUT_SHAPE_DEFAULT));
-        String inputMean = sharedPreferences.getString(getString(R.string.INPUT_MEAN_KEY),
-                getString(R.string.INPUT_MEAN_DEFAULT));
-        String inputStd = sharedPreferences.getString(getString(R.string.INPUT_STD_KEY),
-                getString(R.string.INPUT_STD_DEFAULT));
+        String detLongSize = sharedPreferences.getString(getString(R.string.DET_LONG_SIZE_KEY),
+                getString(R.string.DET_LONG_SIZE_DEFAULT));
         String scoreThreshold = sharedPreferences.getString(getString(R.string.SCORE_THRESHOLD_KEY),
                 getString(R.string.SCORE_THRESHOLD_DEFAULT));
         etModelPath.setSummary(modelPath);
@@ -164,14 +141,8 @@ public class SettingsActivity extends AppCompatPreferenceActivity implements Sha
         lpCPUThreadNum.setSummary(cpuThreadNum);
         lpCPUPowerMode.setValue(cpuPowerMode);
         lpCPUPowerMode.setSummary(cpuPowerMode);
-        lpInputColorFormat.setValue(inputColorFormat);
-        lpInputColorFormat.setSummary(inputColorFormat);
-        etInputShape.setSummary(inputShape);
-        etInputShape.setText(inputShape);
-        etInputMean.setSummary(inputMean);
-        etInputMean.setText(inputMean);
-        etInputStd.setSummary(inputStd);
-        etInputStd.setText(inputStd);
+        etDetLongSize.setSummary(detLongSize);
+        etDetLongSize.setText(detLongSize);
         etScoreThreshold.setText(scoreThreshold);
         etScoreThreshold.setSummary(scoreThreshold);
     }

deploy/android_demo/app/src/main/res/values/strings.xml

 <resources>
-    <string name="app_name">OCR Chinese</string>
+    <string name="app_name">PaddleOCR</string>
     <string name="CHOOSE_PRE_INSTALLED_MODEL_KEY">CHOOSE_PRE_INSTALLED_MODEL_KEY</string>
     <string name="ENABLE_CUSTOM_SETTINGS_KEY">ENABLE_CUSTOM_SETTINGS_KEY</string>
     <string name="MODEL_PATH_KEY">MODEL_PATH_KEY</string>
@@ -7,20 +7,14 @@
     <string name="IMAGE_PATH_KEY">IMAGE_PATH_KEY</string>
     <string name="CPU_THREAD_NUM_KEY">CPU_THREAD_NUM_KEY</string>
     <string name="CPU_POWER_MODE_KEY">CPU_POWER_MODE_KEY</string>
-    <string name="INPUT_COLOR_FORMAT_KEY">INPUT_COLOR_FORMAT_KEY</string>
-    <string name="INPUT_SHAPE_KEY">INPUT_SHAPE_KEY</string>
-    <string name="INPUT_MEAN_KEY">INPUT_MEAN_KEY</string>
-    <string name="INPUT_STD_KEY">INPUT_STD_KEY</string>
+    <string name="DET_LONG_SIZE_KEY">DET_LONG_SIZE_KEY</string>
     <string name="SCORE_THRESHOLD_KEY">SCORE_THRESHOLD_KEY</string>
-    <string name="MODEL_PATH_DEFAULT">models/ocr_v2_for_cpu</string>
+    <string name="MODEL_PATH_DEFAULT">models/ch_PP-OCRv2</string>
     <string name="LABEL_PATH_DEFAULT">labels/ppocr_keys_v1.txt</string>
-    <string name="IMAGE_PATH_DEFAULT">images/0.jpg</string>
+    <string name="IMAGE_PATH_DEFAULT">images/det_0.jpg</string>
     <string name="CPU_THREAD_NUM_DEFAULT">4</string>
     <string name="CPU_POWER_MODE_DEFAULT">LITE_POWER_HIGH</string>
-    <string name="INPUT_COLOR_FORMAT_DEFAULT">BGR</string>
-    <string name="INPUT_SHAPE_DEFAULT">1,3,960</string>
-    <string name="INPUT_MEAN_DEFAULT">0.485, 0.456, 0.406</string>
-    <string name="INPUT_STD_DEFAULT">0.229,0.224,0.225</string>
+    <string name="DET_LONG_SIZE_DEFAULT">960</string>
     <string name="SCORE_THRESHOLD_DEFAULT">0.1</string>
 </resources>
 

deploy/android_demo/app/src/main/res/xml/settings.xml

@@ -47,26 +47,10 @@
                 android:entryValues="@array/cpu_power_mode_values"/>
     </PreferenceCategory>
     <PreferenceCategory android:title="Input Settings">
-        <ListPreference
-                android:defaultValue="@string/INPUT_COLOR_FORMAT_DEFAULT"
-                android:key="@string/INPUT_COLOR_FORMAT_KEY"
-                android:negativeButtonText="@null"
-                android:positiveButtonText="@null"
-                android:title="Input Color Format: BGR or RGB"
-                android:entries="@array/input_color_format_entries"
-                android:entryValues="@array/input_color_format_values"/>
-        <EditTextPreference
-                android:key="@string/INPUT_SHAPE_KEY"
-                android:defaultValue="@string/INPUT_SHAPE_DEFAULT"
-                android:title="Input Shape: (1,1,max_width_height) or (1,3,max_width_height)" />
-        <EditTextPreference
-                android:key="@string/INPUT_MEAN_KEY"
-                android:defaultValue="@string/INPUT_MEAN_DEFAULT"
-                android:title="Input Mean: (channel/255-mean)/std" />
         <EditTextPreference
-                android:key="@string/INPUT_STD_KEY"
-                android:defaultValue="@string/INPUT_STD_DEFAULT"
-                android:title="Input Std: (channel/255-mean)/std" />
+                android:key="@string/DET_LONG_SIZE_KEY"
+                android:defaultValue="@string/DET_LONG_SIZE_DEFAULT"
+                android:title="det long size" />
     </PreferenceCategory>
     <PreferenceCategory android:title="Output Settings">
         <EditTextPreference