No text labels of bboxes displayed with osd for deepstream-test5

I tried the deepstream-test5 on my Jetson nano with the given config files. I am working with Deeepstream 5.
As a result a got video with bounding boxes of the classes but text labels were absent. By the way, I had no problems with the text labels when run the deepstream-test1, they were as they had to be - at the upper left corner of the bounding boxes. I guess I missed some parameters in the config files of the deepstream-test5. I did not change any input (the config files, models or video). Please, advise.

Hi
Can you specify details how can repro your issue?

The osd result when I run deepstream-test5 is here

As you see there are no labels neither for cars nor for persons.

I have the config files as follows:


# Copyright (c) 2018-2020 NVIDIA Corporation.  All rights reserved.
#
# NVIDIA Corporation and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto.  Any use, reproduction, disclosure or
# distribution of this software and related documentation without an express
# license agreement from NVIDIA Corporation is strictly prohibited.

[application]
enable-perf-measurement=1
perf-measurement-interval-sec=5
#gie-kitti-output-dir=streamscl

[tiled-display]
enable=1
rows=2
columns=2
width=1280
height=720
gpu-id=0
#(0): nvbuf-mem-default - Default memory allocated, specific to particular platform
#(1): nvbuf-mem-cuda-pinned - Allocate Pinned/Host cuda memory, applicable for Tesla
#(2): nvbuf-mem-cuda-device - Allocate Device cuda memory, applicable for Tesla
#(3): nvbuf-mem-cuda-unified - Allocate Unified cuda memory, applicable for Tesla
#(4): nvbuf-mem-surface-array - Allocate Surface Array memory, applicable for Jetson
nvbuf-memory-type=0


[source0]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=3
uri=file://../../../../../samples/streams/sample_1080p_h264.mp4
num-sources=2
gpu-id=0
nvbuf-memory-type=0

[source1]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=3
uri=file://../../../../../samples/streams/sample_1080p_h264.mp4
num-sources=2
gpu-id=0
nvbuf-memory-type=0

[sink0]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File
type=4
codec=1
sync=1
source-id=0
gpu-id=0
nvbuf-memory-type=0

[sink1]
enable=0
#Type - 1=FakeSink 2=EglSink 3=File 4=UDPSink 5=nvoverlaysink 6=MsgConvBroker
type=1
msg-conv-config=dstest5_msgconv_sample_config.txt
#(0): PAYLOAD_DEEPSTREAM - Deepstream schema payload
#(1): PAYLOAD_DEEPSTREAM_MINIMAL - Deepstream schema payload minimal
#(256): PAYLOAD_RESERVED - Reserved type
#(257): PAYLOAD_CUSTOM   - Custom schema payload
msg-conv-payload-type=0
msg-broker-proto-lib=/opt/nvidia/deepstream/deepstream-5.0/lib/libnvds_kafka_proto.so
#Provide your msg-broker-conn-str here
msg-broker-conn-str=;;
topic=
#Optional:
#msg-broker-config=../../deepstream-test4/cfg_kafka.txt

[sink2]
enable=0
type=3
#1=mp4 2=mkv
container=1
#1=h264 2=h265 3=mpeg4
## only SW mpeg4 is supported right now.
codec=3
sync=1
bitrate=2000000
output-file=out.mp4
source-id=0

# sink type = 6 by default creates msg converter + broker.
# To use multiple brokers use this group for converter and use
# sink type = 6 with disable-msgconv = 1
[message-converter]
enable=0
msg-conv-config=dstest5_msgconv_sample_config.txt
#(0): PAYLOAD_DEEPSTREAM - Deepstream schema payload
#(1): PAYLOAD_DEEPSTREAM_MINIMAL - Deepstream schema payload minimal
#(256): PAYLOAD_RESERVED - Reserved type
#(257): PAYLOAD_CUSTOM   - Custom schema payload
msg-conv-payload-type=0
# Name of library having custom implementation.
#msg-conv-msg2p-lib=
# Id of component in case only selected message to parse.
#msg-conv-comp-id=

# Configure this group to enable cloud message consumer.
[message-consumer0]
enable=0
proto-lib=/opt/nvidia/deepstream/deepstream-5.0/lib/libnvds_kafka_proto.so
conn-str=;
config-file=
subscribe-topic-list=;;

[osd]
enable=1
gpu-id=0
border-width=1
text-size=15
text-color=1;1;1;1;
text-bg-color=0.3;0.3;0.3;1
font=Arial
show-clock=0
clock-x-offset=800
clock-y-offset=820
clock-text-size=12
clock-color=1;0;0;0
nvbuf-memory-type=0

[streammux]
gpu-id=0
##Boolean property to inform muxer that sources are live
live-source=0
batch-size=4
##time out in usec, to wait after the first buffer is available
##to push the batch even if the complete batch is not formed
batched-push-timeout=40000
## Set muxer output width and height
width=1920
height=1080
##Enable to maintain aspect ratio wrt source, and allow black borders, works
##along with width, height properties
enable-padding=0
nvbuf-memory-type=0
## If set to TRUE, system timestamp will be attached as ntp timestamp
## If set to FALSE, ntp timestamp from rtspsrc, if available, will be attached
# attach-sys-ts-as-ntp=1

[primary-gie]
enable=1
gpu-id=0
batch-size=4
## 0=FP32, 1=INT8, 2=FP16 mode
bbox-border-color0=1;0;0;1
bbox-border-color1=0;1;1;1
bbox-border-color2=0;1;1;1
bbox-border-color3=0;1;0;1
nvbuf-memory-type=0
interval=0
gie-unique-id=1
model-engine-file=../../../../../samples/models/Primary_Detector/resnet10.caffemodel_b4_gpu0_int8.engine
labelfile-path=../../../../../samples/models/Primary_Detector/labels.txt
config-file=../../../../../samples/configs/deepstream-app/config_infer_primary.txt
#infer-raw-output-dir=../../../../../samples/primary_detector_raw_output/

[tracker]
enable=1
tracker-width=600
tracker-height=288
ll-lib-file=/opt/nvidia/deepstream/deepstream-5.0/lib/libnvds_mot_klt.so
#ll-config-file required for DCF/IOU only
#ll-config-file=tracker_config.yml
#ll-config-file=iou_config.txt
gpu-id=0
#enable-batch-process applicable to DCF only
enable-batch-process=0

[tests]
file-loop=0

Please add -t, --tiledtext // Display Bounding box labels in tiled mode
to your commands.

1 Like

Thank you for your reply.

Yes, I tried options like these:
./deepstream-test5-app -c configs/test5_config_file_src_infer.txt -p 0 --tiledtext
./deepstream-test5-app -c configs/test5_config_file_src_infer.txt -p 0 -t
./deepstream-test5-app -c configs/test5_config_file_src_infer.txt -p 0 -t --tiledtext

There were no labels just bboxes were displayed.
Could you check the deepstream-test5-app on your side?

May I know below info you are running with, and please add the info when you create one topic.

• Hardware Platform (Jetson / GPU)
• DeepStream Version
• JetPack Version (valid for Jetson only)
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only)

Please add below change to test5 sample
sources/apps/sample_apps/deepstream-test5/deepstream_test5_app_main.c
and run with option -t added.

in main function, around 1514 line, just add with + mark line.
+if(!show_bbox_text)
{
GstElement *nvosd = appCtx[0]->pipeline.instance_bins[0].osd_bin.nvosd;
g_object_set (G_OBJECT (nvosd), “display-text”, FALSE, NULL);
}

Is seems this snippet code was in place:


/**
 * Loop function to check keyboard inputs and status of each pipeline.
 */
static gboolean
event_thread_func (gpointer arg)
{
  guint i;
  gboolean ret = TRUE;

  // Check if all instances have quit
  for (i = 0; i < num_instances; i++) {
    if (!appCtx[i]->quit)
      break;
  }

  if (i == num_instances) {
    quit = TRUE;
    g_main_loop_quit (main_loop);
    return FALSE;
  }
  // Check for keyboard input
  if (!kbhit ()) {
    //continue;
    return TRUE;
  }
  int c = fgetc (stdin);
  g_print ("\n");

  gint source_id;
  GstElement *tiler = appCtx[0]->pipeline.tiled_display_bin.tiler;
  g_object_get (G_OBJECT (tiler), "show-source", &source_id, NULL);

  if (selecting) {
    if (rrowsel == FALSE) {
      if (c >= '0' && c <= '9') {
        rrow = c - '0';
        g_print ("--selecting source  row %d--\n", rrow);
        rrowsel = TRUE;
      }
    } else {
      if (c >= '0' && c <= '9') {
        int tile_num_columns = appCtx[0]->config.tiled_display_config.columns;
        rcol = c - '0';
        selecting = FALSE;
        rrowsel = FALSE;
        source_id = tile_num_columns * rrow + rcol;
        g_print ("--selecting source  col %d sou=%d--\n", rcol, source_id);
        if (source_id >= (gint) appCtx[0]->config.num_source_sub_bins) {
          source_id = -1;
        } else {
          source_ids[0] = source_id;
          appCtx[0]->show_bbox_text = TRUE;
          g_object_set (G_OBJECT (tiler), "show-source", source_id, NULL);
        }
      }
    }
  }
  switch (c) {
    case 'h':
      print_runtime_commands ();
      break;
    case 'p':
      for (i = 0; i < num_instances; i++)
        pause_pipeline (appCtx[i]);
      break;
    case 'r':
      for (i = 0; i < num_instances; i++)
        resume_pipeline (appCtx[i]);
      break;
    case 'q':
      quit = TRUE;
      g_main_loop_quit (main_loop);
      ret = FALSE;
      break;
    case 'z':
      if (source_id == -1) {
        g_print ("--selecting source --\n");
        selecting = TRUE;
      } else {
        if (!show_bbox_text)
        {
          GstElement *nvosd = appCtx[0]->pipeline.instance_bins[0].osd_bin.nvosd;
          g_object_set (G_OBJECT (nvosd), "display-text", FALSE, NULL);
        }
        g_object_set (G_OBJECT (tiler), "show-source", -1, NULL);
        source_ids[0] = -1;
      }
      break;
    default:
      break;
  }
  return ret;
}

Please find attached
• Hardware Platform: Jetson Nano
• DeepStream Version: 5.0
• JetPack Version 4.4
• TensorRT Version 7
• NVIDIA GPU Driver Version (valid for GPU only) Not sure, installed recently from here https://developer.nvidia.com/embedded/jetpack

modified the comment above, please see it.
and the fix will be available in the upcoming release.