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add cpuThreadNum and cpuPowerMode to init

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This commit is contained in:
WenmuZhou 2022-02-26 12:30:31 +08:00
parent e456e0b787
commit aa6c2b846a
1 changed files with 11 additions and 11 deletions
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22
deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/Predictor.java
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@ -46,7 +46,7 @@ public class Predictor {
public Predictor() {
}
public boolean init(Context appCtx, String modelPath, String labelPath) {
public boolean init(Context appCtx, String modelPath, String labelPath, int cpuThreadNum, String cpuPowerMode) {
isLoaded = loadModel(appCtx, modelPath, cpuThreadNum, cpuPowerMode);
if (!isLoaded) {
return false;
@ -86,7 +86,7 @@ public class Predictor {
Log.e(TAG, "Only BGR color format is supported.");
return false;
}
boolean isLoaded = init(appCtx, modelPath, labelPath);
boolean isLoaded = init(appCtx, modelPath, labelPath, cpuThreadNum, cpuPowerMode);
if (!isLoaded) {
return false;
}
@ -119,11 +119,11 @@ public class Predictor {
OCRPredictorNative.Config config = new OCRPredictorNative.Config();
config.cpuThreadNum = cpuThreadNum;
config.detModelFilename = realPath + File.separator + "ch_ppocr_mobile_v2.0_det_opt.nb";
config.recModelFilename = realPath + File.separator + "ch_ppocr_mobile_v2.0_rec_opt.nb";
config.clsModelFilename = realPath + File.separator + "ch_ppocr_mobile_v2.0_cls_opt.nb";
Log.e("Predictor", "model path" + config.detModelFilename + " ; " + config.recModelFilename + ";" + config.clsModelFilename);
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);
paddlePredictor = new OCRPredictorNative(config);
this.cpuThreadNum = cpuThreadNum;
@ -197,19 +197,19 @@ public class Predictor {
}
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());
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];
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());
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;