Hello, I pulled the dockerfile you provided, but encountered GLib.Error when running ds_pipeline.py

root@c4762d0ad73c:/home/deepstream_video_pipeline# python3 ds_pipeline.py
nvstreammux name=mux0 gpu-id=0 enable-padding=1 width=300 height=300 batch-size=8 batched-push-timeout=1000000 ! 
nvinfer config-file-path=detector_default.config gpu-id=0 batch-size=8 ! fakesink enable-last-sample=0
filesrc location=media/in.mp4 num-buffers=512 ! qtdemux ! h264parse ! nvv4l2decoder gpu-id=0 ! mux0.sink_0 
filesrc location=media/in.mp4 num-buffers=512 ! qtdemux ! h264parse ! nvv4l2decoder gpu-id=0 ! mux0.sink_1 
filesrc location=media/in.mp4 num-buffers=512 ! qtdemux ! h264parse ! nvv4l2decoder gpu-id=0 ! mux0.sink_2 
filesrc location=media/in.mp4 num-buffers=512 ! qtdemux ! h264parse ! nvv4l2decoder gpu-id=0 ! mux0.sink_3 

Traceback (most recent call last):
  File "ds_pipeline.py", line 31, in <module>
    pipeline = Gst.parse_launch(pipeline_cmd)
GLib.Error: gst_parse_error: no element "nvstreammux" (1)

I also tried to run it in the miniconda environment, but another error occurred

(base) root@c4762d0ad73c:/home/deepstream_video_pipeline# python3 ds_pipeline.py 
Traceback (most recent call last):
  File "ds_pipeline.py", line 4, in <module>
    gi.require_version('Gst', '1.0')
  File "/opt/conda/lib/python3.8/site-packages/gi/__init__.py", line 126, in require_version
    raise ValueError('Namespace %s not available' % namespace)
ValueError: Namespace Gst not available

Any idea about how to solve this? Many thanks.

Hey Paul,

It seems your apps work amazingly well for number-sources = 1
But I wish to run multiple streams in parallel. Unfortunately, your ghetto_nvds script doesn't work well with multiple streams, and I cannot get a batched-gpu buffer. I am able to use it only with one stream. Can you suggest anything that could be done about this?

root@3c52020d6f01:/app# python export_trt_engine.py --ssd-module-name ds_ssd300_4 --trt-module-name ds_trt_4

Using cache found in /root/.cache/torch/hub/NVIDIA_DeepLearningExamples_torchhub
/opt/conda/lib/python3.8/site-packages/torch/nn/functional.py:718: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /opt/conda/conda-bld/pytorch_1623448234945/work/c10/core/TensorImpl.h:1156.)
return torch.max_pool2d(input, kernel_size, stride, padding, dilation, ceil_mode)
&&&& RUNNING TensorRT.trtexec [TensorRT v8001] # trtexec --onnx=checkpoints/ds_trt_4.onnx --saveEngine=checkpoints/ds_trt_4.engine --fp16 --explicitBatch --minShapes=image_nchw:1x3x300x300 --optShapes=image_nchw:8x3x300x300 --maxShapes=image_nchw:8x3x300x300 --buildOnly
[07/14/2021-07:20:26] [I] === Model Options ===
[07/14/2021-07:20:26] [I] Format: ONNX
[07/14/2021-07:20:26] [I] Model: checkpoints/ds_trt_4.onnx
[07/14/2021-07:20:26] [I] Output:
[07/14/2021-07:20:26] [I] === Build Options ===
[07/14/2021-07:20:26] [I] Max batch: explicit
[07/14/2021-07:20:26] [I] Workspace: 16 MiB
[07/14/2021-07:20:26] [I] minTiming: 1
[07/14/2021-07:20:26] [I] avgTiming: 8
[07/14/2021-07:20:26] [I] Precision: FP32+FP16
[07/14/2021-07:20:26] [I] Calibration:
[07/14/2021-07:20:26] [I] Refit: Disabled
[07/14/2021-07:20:26] [I] Sparsity: Disabled
[07/14/2021-07:20:26] [I] Safe mode: Disabled
[07/14/2021-07:20:26] [I] Save engine: checkpoints/ds_trt_4.engine
[07/14/2021-07:20:26] [I] Load engine:
[07/14/2021-07:20:26] [I] NVTX verbosity: 0
[07/14/2021-07:20:26] [I] Tactic sources: Using default tactic sources
[07/14/2021-07:20:26] [I] timingCacheMode: local
[07/14/2021-07:20:26] [I] timingCacheFile:
[07/14/2021-07:20:26] [I] Input(s)s format: fp32:CHW
[07/14/2021-07:20:26] [I] Output(s)s format: fp32:CHW
[07/14/2021-07:20:26] [I] Input build shape: image_nchw=1x3x300x300+8x3x300x300+8x3x300x300
[07/14/2021-07:20:26] [I] Input calibration shapes: model
[07/14/2021-07:20:26] [I] === System Options ===
[07/14/2021-07:20:26] [I] Device: 0
[07/14/2021-07:20:26] [I] DLACore:
[07/14/2021-07:20:26] [I] Plugins:
[07/14/2021-07:20:26] [I] === Inference Options ===
[07/14/2021-07:20:26] [I] Batch: Explicit
[07/14/2021-07:20:26] [I] Input inference shape: image_nchw=8x3x300x300
[07/14/2021-07:20:26] [I] Iterations: 10
[07/14/2021-07:20:26] [I] Duration: 3s (+ 200ms warm up)
[07/14/2021-07:20:26] [I] Sleep time: 0ms
[07/14/2021-07:20:26] [I] Streams: 1
[07/14/2021-07:20:26] [I] ExposeDMA: Disabled
[07/14/2021-07:20:26] [I] Data transfers: Enabled
[07/14/2021-07:20:26] [I] Spin-wait: Disabled
[07/14/2021-07:20:26] [I] Multithreading: Disabled
[07/14/2021-07:20:26] [I] CUDA Graph: Disabled
[07/14/2021-07:20:26] [I] Separate profiling: Disabled
[07/14/2021-07:20:26] [I] Time Deserialize: Disabled
[07/14/2021-07:20:26] [I] Time Refit: Disabled
[07/14/2021-07:20:26] [I] Skip inference: Enabled
[07/14/2021-07:20:26] [I] Inputs:
[07/14/2021-07:20:26] [I] === Reporting Options ===
[07/14/2021-07:20:26] [I] Verbose: Disabled
[07/14/2021-07:20:26] [I] Averages: 10 inferences
[07/14/2021-07:20:26] [I] Percentile: 99
[07/14/2021-07:20:26] [I] Dump refittable layers:Disabled
[07/14/2021-07:20:26] [I] Dump output: Disabled
[07/14/2021-07:20:26] [I] Profile: Disabled
[07/14/2021-07:20:26] [I] Export timing to JSON file:
[07/14/2021-07:20:26] [I] Export output to JSON file:
[07/14/2021-07:20:26] [I] Export profile to JSON file:
[07/14/2021-07:20:26] [I]
[07/14/2021-07:20:26] [I] === Device Information ===
[07/14/2021-07:20:26] [I] Selected Device: GeForce RTX 2060
[07/14/2021-07:20:26] [I] Compute Capability: 7.5
[07/14/2021-07:20:26] [I] SMs: 30
[07/14/2021-07:20:26] [I] Compute Clock Rate: 1.755 GHz
[07/14/2021-07:20:26] [I] Device Global Memory: 5931 MiB
[07/14/2021-07:20:26] [I] Shared Memory per SM: 64 KiB
[07/14/2021-07:20:26] [I] Memory Bus Width: 192 bits (ECC disabled)
[07/14/2021-07:20:26] [I] Memory Clock Rate: 7.001 GHz
[07/14/2021-07:20:26] [I]
[07/14/2021-07:20:26] [I] TensorRT version: 7103
Traceback (most recent call last):
File "export_trt_engine.py", line 57, in
trt_output = subprocess.run([
File "/opt/conda/lib/python3.8/subprocess.py", line 512, in run
raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command '['trtexec', '--onnx=checkpoints/ds_trt_4.onnx', '--saveEngine=checkpoints/ds_trt_4.engine', '--fp16', '--explicitBatch', '--minShapes=image_nchw:1x3x300x300', '--optShapes=image_nchw:8x3x300x300', '--maxShapes=image_nchw:8x3x300x300', '--buildOnly']' died with <Signals.SIGSEGV: 11>.

I am getting this error while installing Tensorrt. I have tried This link, but nothing worked out.