Better build flow

[michaelchien1972]

This will make sub directory first, and generate final so file

[lucheng07082221]

@ The speed of yoloV3 by tensorRT+deepStream?

[Gotta-C]

how to get calibration.table if the yolov3 backbone was modified?
Turns the results when I run INT8:
New calibration table will be created to build the engine
trt-yolo-app: ../builder/cudnnBuilder2.cpp:685: virtual std::vector<nvinfer1::query::Portsnvinfer1::query::TensorRequirements > nvinfer1::builder::Node::getSupportedFormats(const nvinfer1::query::Portsnvinfer1::query::AbstractTensor&, const nvinfer1::cudnn::HardwareContext&, nvinfer1::builder::Format::Type, const nvinfer1::builder::FormatTypeHack&) const: Assertion `sf' failed.

[Yuuuuuuuuuuuuuuuuuummy]

hi @vat-nvidia
I run trt-yolo-app on xavier, but Why the m_Height needs to equal m_Width? I try to run my yolov3 network but meet this error, I wonder why

[TyroneLi]

Hi,I use deepstream-yolo-app.cpp to get the yolov3 detected bounding box coordinates information.But they didn't match each other.
`while ((gst_meta = gst_buffer_iterate_meta (buf, &state))) {
if (gst_meta_api_type_has_tag (gst_meta->info->api, _nvdsmeta_quark)) {

  nvdsmeta = (NvDsMeta *) gst_meta;

  /* We are interested only in intercepting Meta of type
   * "NVDS_META_FRAME_INFO" as they are from our infer elements. */
  if (nvdsmeta->meta_type == NVDS_META_FRAME_INFO) {
    frame_meta = (NvDsFrameMeta *) nvdsmeta->meta_data;
    if (frame_meta == NULL) {
      g_print ("NvDS Meta contained NULL meta \n");
      frame_number++;
      return GST_PAD_PROBE_OK;
    }

    if(output_kitti)
    {
      g_snprintf(bbox_file, sizeof(bbox_file) - 1, "%s/%06d.txt",
        output_kitti, frame_number);
        bbox_params_dump_file = fopen(bbox_file, "w");
    }

    num_rects = frame_meta->num_rects;

    /* This means we have num_rects in frame_meta->obj_params.
     * Now lets iterate through them and count the number of cars,
     * trucks, persons and bicycles in each frame */

    for (rect_index = 0; rect_index < num_rects; rect_index++) {
      obj_meta = (NvDsObjectParams *) & frame_meta->obj_params[rect_index];
      rect_params = &(obj_meta->rect_params);
      text_params = &(obj_meta->text_params);
      if (!g_strcmp0 (obj_meta->attr_info[YOLO_UNIQUE_ID].attr_label,
              "car"))
        {
          // g_print("CAR topX=%d, topY=%d, width=%d, height=%d, score=%.2f\n", 
          // rect_params->left, rect_params->top, 
          // (rect_params->left + rect_params->width),
          // (rect_params->top + rect_params->height),
          // obj_meta->attr_info[YOLO_UNIQUE_ID].attrs->attr_prob);
          // g_print("txtTopLeft=%d, txtTopRight=%d\n", 
          // text_params->x_offset, text_params->y_offset);
          // g_print("attr_label=%s\n", 
          // obj_meta->attr_info[YOLO_UNIQUE_ID].attr_label);
          // g_print("CAR topX=%d, topY=%d, width=%d, height=%d\n", 
          // obj_meta->line_params[0].x1, obj_meta->line_params[0].y1,
          // obj_meta->line_params[0].x2, obj_meta->line_params[0].y2);
          if(bbox_params_dump_file)
          {
            int left = (int)(rect_params->left);
            int top = (int)(rect_params->top);
            int right = left + (int)(rect_params->width);
            int bottom = top + (int)(rect_params->height);
            int class_index = obj_meta->class_id;
            char *text = "car";
            fprintf(bbox_params_dump_file,
              "%s  %d.00 %d.00 %d.00 %d.00 \n",
              text, left, top, right, bottom);
            std::cout << text << " left=" << left << " top=" << top << 
              " right=" << right << " bottom=" << bottom << std::endl;
          }
          car_count++;
        }
      else if (!g_strcmp0 (obj_meta->attr_info[YOLO_UNIQUE_ID].attr_label,
              "person"))
        {
          // g_print("PERSON topX=%d, topY=%d, width=%d, height=%d, score=%.2f\n", 
          // rect_params->left, rect_params->top, 
          // (rect_params->left + rect_params->width),
          // (rect_params->top + rect_params->height),
          //  obj_meta->attr_info[YOLO_UNIQUE_ID].attrs->attr_prob);
          // g_print("CAR topX=%d, topY=%d, width=%d, height=%d\n", 
          // obj_meta->line_params[0].x1, obj_meta->line_params[0].y1,
          // obj_meta->line_params[0].x2, obj_meta->line_params[0].y2);
          if(bbox_params_dump_file)
          {
            int left = (int)(rect_params->left);
            int top = (int)(rect_params->top);
            int right = left + (int)(rect_params->width);
            int bottom = top + (int)(rect_params->height);
            int class_index = obj_meta->class_id;
            char *text = "person";
            fprintf(bbox_params_dump_file,
              "%s  %d.00 %d.00 %d.00 %d.00 \n",
              text, left, top, right, bottom);
            std::cout << text << " left=" << left << " top=" << top << 
              " right=" << right << " bottom=" << bottom << std::endl;
          }
          person_count++;
        } 
      else if (!g_strcmp0 (obj_meta->attr_info[YOLO_UNIQUE_ID].attr_label,
              "bicycle"))
        {
          // g_print("BICYCLE topX=%d, topY=%d, width=%d, height=%d, score=%.2f\n", 
          // rect_params->left, rect_params->top, 
          // (rect_params->left + rect_params->width),
          // (rect_params->top + rect_params->height),
          //  obj_meta->attr_info[YOLO_UNIQUE_ID].attrs->attr_prob);
          // g_print("CAR topX=%d, topY=%d, width=%d, height=%d\n", 
          // obj_meta->line_params[0].x1, obj_meta->line_params[0].y1,
          // obj_meta->line_params[0].x2, obj_meta->line_params[0].y2);
          bicycle_count++;
        }
      else if (!g_strcmp0 (obj_meta->attr_info[YOLO_UNIQUE_ID].attr_label,
              "truck"))
       {
        //  g_print("TRUCK topX=%d, topY=%d, width=%d, height=%d, score=%.2f\n", 
        //   rect_params->left, rect_params->top, 
        //   (rect_params->left + rect_params->width),
        //   (rect_params->top + rect_params->height),
        //    obj_meta->attr_info[YOLO_UNIQUE_ID].attrs->attr_prob);
        // g_print("CAR topX=%d, topY=%d, width=%d, height=%d\n", 
        //   obj_meta->line_params[0].x1, obj_meta->line_params[0].y1,
        //   obj_meta->line_params[0].x2, obj_meta->line_params[0].y2);
          truck_count++;
       }
    }
    if(bbox_params_dump_file)
    {
      fclose(bbox_params_dump_file);
      bbox_params_dump_file = NULL;
    }
  }
}`

I use these way to get boxes information but it didn't match the data that I set --print_prediction_info=true in yolov3.txt file.What is the difference between them?How can I parse the boxes corrdinates???

[ledinhtri97]

Hello, Can Deepstream 4.0 will support more than two detectors engine?