I am not having able to run the “/deepstream_sdk_v4.0.1_x86_64/sources/objectDetector_Yolo” sample using default deepstream-app with my own video on Tesla P100. I have only changed the uri path in the source.
I am using
- Tesla P100
- Docker version 18.09.7, build 2d0083d
- nvcr.io/nvidia/deepstream:4.0.1-19.09-devel docker image from ngc
Below is the error
**PERF: FPS 0 (Avg)
**PERF: 0.00 (0.00)
** INFO: <bus_callback:189>: Pipeline ready
** INFO: <bus_callback:175>: Pipeline running
ERROR from src_bin_muxer: Input buffer number of surfaces (-1229539658) must be equal to mux->num_surfaces_per_frame (1)
Set nvstreammux property num-surfaces-per-frame appropriately
Debug info: gstnvstreammux.c(309): gst_nvstreammux_chain (): /GstPipeline:pipeline/GstBin:multi_src_bin/GstNvStreamMux:src_bin_muxer
ERROR from qtdemux0: Internal data stream error.
Debug info: qtdemux.c(6073): gst_qtdemux_loop (): /GstPipeline:pipeline/GstBin:multi_src_bin/GstBin:src_sub_bin0/GstURIDecodeBin:src_elem/GstDecodeBin:decodebin0/GstQTDemux:qtdemux0:
streaming stopped, reason error (-5)
Creating LL OSD context new
Quitting
App run failed