Error While Running the python code

[Amajo0209]

Hello. I am trying to run the Python file from this repository using the given command: python3 deepstream.py -s file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 -c config_infer_primary_yoloV8_face.txt

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ubuntu@ubuntu-Blade-15-2022-RZ09-0421:~/Documents/DeepStream-Yolo-Face$ python3 deepstream.py -s file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 -c config_infer_primary_yoloV8_face.txt

SOURCE: file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 CONFIG_INFER: config_infer_primary_yoloV8_face.txt STREAMMUX_BATCH_SIZE: 1 STREAMMUX_WIDTH: 1920 STREAMMUX_HEIGHT: 1080 GPU_ID: 0 PERF_MEASUREMENT_INTERVAL_SEC: 5 JETSON: FALSE

gstnvtracker: Loading low-level lib at /opt/nvidia/deepstream/deepstream/lib/libnvds_nvmultiobjecttracker.so [NvMultiObjectTracker] Initialized 0:00:03.153337617 31142 0x2ae9860 INFO nvinfer gstnvinfer.cpp:682:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1988> [UID = 1]: deserialized trt engine from :/home/ubuntu/Documents/DeepStream-Yolo-Face/yolov8n-face.onnx_b1_gpu0_fp32.engine WARNING: [TRT]: The getMaxBatchSize() function should not be used with an engine built from a network created with NetworkDefinitionCreationFlag::kEXPLICIT_BATCH flag. This function will always return 1. INFO: ../nvdsinfer/nvdsinfer_model_builder.cpp:610 [Implicit Engine Info]: layers num: 4 0 INPUT kFLOAT input 3x640x640
1 OUTPUT kFLOAT boxes 8400x4
2 OUTPUT kFLOAT scores 8400x1
3 OUTPUT kFLOAT landmarks 8400x0

0:00:03.208580298 31142 0x2ae9860 INFO nvinfer gstnvinfer.cpp:682:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:2091> [UID = 1]: Use deserialized engine model: /home/ubuntu/Documents/DeepStream-Yolo-Face/yolov8n-face.onnx_b1_gpu0_fp32.engine python3: nvdsinfer_context_impl.cpp:1377: NvDsInferStatus nvdsinfer::NvDsInferContextImpl::resizeOutputBufferpool(uint32_t): Assertion `bindingDims.numElements > 0' failed. Aborted (core dumped) +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Please, I wonder if anyone could help me with this issue, how can I fix it?

DeepStream Version = 6.3 YOLO MODEL = Yolov8n-face CUDA = 12.3 TensorRT = 8.5.3.1 NVIDIA GRAPHIC = GeForce RTX 3080 Ti 32GB RAM and 1TB SSD

[Amajo0209]

I got to solve the issue above.

However, I am now facing a new Error. I can run the script and it shows the screen with the video, but the video is frozen, and then I get the following ERROR:

Traceback (most recent call last): File “deepstream.py”, line 149, in tracker_src_pad_buffer_probe parse_face_from_meta(frame_meta, obj_meta) File “deepstream.py”, line 115, in parse_face_from_meta circle_params.yc = yc TypeError: (): incompatible function arguments. The following argument types are supported:

1. (self: pyds.NvOSD_CircleParams, arg0: int) → None

Invoked with: <pyds.NvOSD_CircleParams object at 0x7ff2601a7c70>, -395 Traceback (most recent call last): File “deepstream.py”, line 149, in tracker_src_pad_buffer_probe parse_face_from_meta(frame_meta, obj_meta) File “deepstream.py”, line 115, in parse_face_from_meta circle_params.yc = yc TypeError: (): incompatible function arguments. The following argument types are supported:

1. (self: pyds.NvOSD_CircleParams, arg0: int) → None