Hi,
Please run above-mentioned approach 3 for better result.
Step:
Refer to 3.21.08 doc https://docs.nvidia.com/tao/tao-toolkit-archive/tao-30-2108/text/tao_cv_inf_pipeline/requirements_and_installation.html#download-the-tao-toolkit-cv-inference-pipeline-quick-start to download scripts via TAO Computer Vision Inference Pipeline | NVIDIA NGC or
ngc registry resource download-version "nvidia/tao/tao_cv_inference_pipeline_quick_start:v0.3-ga"
Setup server
$ cd tao_cv_inference_pipeline_quick_start_vv0.3-ga/scripts
$ bash tao_cv_init.sh
$ bash tao_cv_start_server.sh
Open another terminal to run client.
$ export DISPLAY=:0
$ cd tao_cv_inference_pipeline_quick_start_vv0.3-ga/scripts
$ bash tao_cv_start_client.sh
Modify several lines in samples/tao_cv/demo_gaze/demo.conf
root@xx:/workspace/tao_cv-pkg# vim samples/tao_cv/demo_gaze/demo.conf
video_path= /tmp/yourtest.mp4
fps = yourvideo_fps
is_video_path_file= true
resolution_whc= 640,480,3
root@xx:/workspace/tao_cv-pkg# ./samples/tao_cv/demo_gaze/gaze samples/tao_cv/demo_gaze/demo.conf
BTW, run “docker cp” to cp your testvideo.mp4 to the client.
$ docker cp yourtest.mp4 image_tao_cv_client:/tmp/