C++ (Cpp) jpcnn_destroy_image_buffer Examples

Example #1

File: main.c Project: JakeBrawer/DeepBeliefSDK

int main(int argc, const char * argv[]) {

  const char* imageFileName;
  void* imageHandle;
  void* networkHandle;

  float* predictions;
  int predictionsLength;
  char** predictionsLabels;
  int predictionsLabelsLength;
  int index;

  if (argc < 2) {
    imageFileName = "lena.png";
  } else {
    imageFileName = argv[1];
  }

  const char* networkFileName;
  if (argc < 3) {
    networkFileName = NETWORK_FILE_NAME;
  } else {
    networkFileName = argv[2];
  }

  networkHandle = jpcnn_create_network(networkFileName);
  if (networkHandle == NULL) {
    fprintf(stderr, "DeepBeliefSDK: Couldn't load network file '%s'\n", networkFileName);
    return 1;
  }

  imageHandle = jpcnn_create_image_buffer_from_file(imageFileName);
  if (imageHandle == NULL) {
    fprintf(stderr, "DeepBeliefSDK: Couldn't load image file '%s'\n", imageFileName);
    return 1;
  }

  jpcnn_classify_image(networkHandle, imageHandle, 0, 0, &predictions, &predictionsLength, &predictionsLabels, &predictionsLabelsLength);

  jpcnn_destroy_image_buffer(imageHandle);

  for (index = 0; index < predictionsLength; index += 1) {
    float predictionValue;
    char* label;
    predictionValue = predictions[index];
    if (predictionValue < 0.01f) {
      continue;
    }
    label = predictionsLabels[index];
    fprintf(stdout, "%f\t%s\n", predictionValue, label);
  }

  jpcnn_destroy_network(networkHandle);

  return 0;
}

Example #2

File: load.c Project: LiuDeng/petbot-selfie

int main(int argc, const char * argv[]) {


  float* predictions;
  int predictionsLength;
  char** predictionsLabels;
  int predictionsLabelsLength;

  if (argc!=5) {
	fprintf(stderr,"%s network_filename layer svm_filename img_filename\n",argv[0]);
	exit(1);
  }

  const char * networkFileName=argv[1];
  int layer = atoi(argv[2]);
  const char * predictorFileName=argv[3];
  const char * imageFileName=argv[4];


  void * networkHandle = jpcnn_create_network(networkFileName);
  if (networkHandle == NULL) {
    fprintf(stderr, "DeepBeliefSDK: Couldn't load network file '%s'\n", networkFileName);
    return 1;
  }

  void * predictor=NULL;
  if (strcmp(predictorFileName,"-")!=0) {
	  predictor = jpcnn_load_predictor(predictorFileName);
	  if (predictor==NULL) {
		fprintf(stderr,"Failed to load predictor\n");
		return 1;
	  }
  }


  int i=0;
  for (i=0; i<1; i++) {
  void * imageHandle = jpcnn_create_image_buffer_from_file(imageFileName);
  if (imageHandle == NULL) {
    fprintf(stderr, "DeepBeliefSDK: Couldn't load image file '%s'\n", imageFileName);
    return 1;
  }



  jpcnn_classify_image(networkHandle, imageHandle, 0, layer, &predictions, &predictionsLength, &predictionsLabels, &predictionsLabelsLength);
  if (strcmp(predictorFileName,"-")!=0) {
  	float pred = jpcnn_predict(predictor, predictions, predictionsLength);
  	fprintf(stdout,"%f\n",pred);
  } else {
	int index;
	  for (index = 0; index < predictionsLength; index += 1) {
    float predictionValue;
    char* label = predictionsLabels[index];
    predictionValue = predictions[index];
    fprintf(stdout, "%d\t%f\t%s\n", index, predictionValue, label);
  }
  }
  jpcnn_destroy_image_buffer(imageHandle);
  }
  jpcnn_destroy_predictor(predictor);

  /*for (index = 0; index < predictionsLength; index += 1) {
    float predictionValue;
    char* label = predictionsLabels[index];
    predictionValue = predictions[index];
    fprintf(stdout, "%d\t%f\t%s\n", index, predictionValue, label);
  }*/
  

  jpcnn_destroy_network(networkHandle);

  return 0;
}