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bharath5673 / Deepstream

yolov5, yolov8, segmenations, face, pose, keypoints on deepstream
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Step 10: Running yolo.py Error #3

Closed stepstep123 closed 1 year ago

stepstep123 commented 1 year ago

thanks your great job. i followed your step(yolo5n) and get some problem.

from step1 to step9. everything is great.

step8 deepstream-app -c deepstream_app_config.txt

PERF: FPS 0 (Avg) PERF: 0.00 (0.00) ** INFO: : Pipeline ready

** INFO: : Pipeline running

PERF: 260.93 (260.91) INFO: : Received EOS. Exiting ...

Quitting App run successful.

Step 10: Running yolo.py

root@3c38dad9654b:/opt/nvidia/deepstream/deepstream-6.1/DeepStream-Yolo# python3 deepstream-yolo.py file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 deepstream-yolo.py:387: PyGIDeprecationWarning: Since version 3.11, calling threads_init is no longer needed. See: https://wiki.gnome.org/PyGObject/Threading GObject.threads_init() Creating Pipeline

Creating streamux

Creating source_bin 0

Creating source bin source-bin-00 Creating Pgie

Creating tiler

Creating nvvidconv

Creating nvosd

Creating EGLSink

Adding elements to Pipeline

Linking elements in the Pipeline

deepstream-yolo.py:514: PyGIDeprecationWarning: GObject.MainLoop is deprecated; use GLib.MainLoop instead loop = GObject.MainLoop() Now playing... 1 : file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 Starting pipeline

WARNING: [TRT]: CUDA lazy loading is not enabled. Enabling it can significantly reduce device memory usage. See CUDA_MODULE_LOADING in https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars Deserialize yoloLayer plugin: yolo WARNING: [TRT]: TensorRT was linked against cuDNN 8.6.0 but loaded cuDNN 8.4.0 WARNING: [TRT]: TensorRT was linked against cuDNN 8.6.0 but loaded cuDNN 8.4.0 WARNING: [TRT]: CUDA lazy loading is not enabled. Enabling it can significantly reduce device memory usage. See CUDA_MODULE_LOADING in https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars 0:00:05.177224055 21150 0x3209060 INFO nvinfer gstnvinfer.cpp:646:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() [UID = 1]: deserialized trt engine from :/opt/nvidia/deepstream/deepstream-6.1/DeepStream-Yolo/model_b1_gpu0_fp32.engine INFO: ../nvdsinfer/nvdsinfer_model_builder.cpp:610 [Implicit Engine Info]: layers num: 5 0 INPUT kFLOAT data 3x640x640 1 OUTPUT kFLOAT num_detections 1 2 OUTPUT kFLOAT detection_boxes 25200x4 3 OUTPUT kFLOAT detection_scores 25200 4 OUTPUT kFLOAT detection_classes 25200

0:00:05.236333287 21150 0x3209060 INFO nvinfer gstnvinfer.cpp:646:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() [UID = 1]: Use deserialized engine model: /opt/nvidia/deepstream/deepstream-6.1/DeepStream-Yolo/model_b1_gpu0_fp32.engine 0:00:05.601797793 21150 0x3209060 INFO nvinfer gstnvinfer_impl.cpp:328:notifyLoadModelStatus: [UID 1]: Load new model:config_infer_primary_yoloV5.txt sucessfully Decodebin child added: source

Decodebin child added: decodebin0

Decodebin child added: qtdemux0

Decodebin child added: multiqueue0

Decodebin child added: h264parse0

Decodebin child added: capsfilter0

Decodebin child added: aacparse0

Decodebin child added: avdec_aac0

Decodebin child added: nvv4l2decoder0

In cb_newpad

gstname= video/x-raw features= <Gst.CapsFeatures object at 0x7ff4c2cb77c0 (GstCapsFeatures at 0x7ff3bc00acc0)> In cb_newpad

gstname= audio/x-raw 0:00:06.783651849 21150 0x18e4d80 WARN nvinfer gstnvinfer.cpp:2299:gst_nvinfer_output_loop: error: Internal data stream error. 0:00:06.783783685 21150 0x18e4d80 WARN nvinfer gstnvinfer.cpp:2299:gst_nvinfer_output_loop: error: streaming stopped, reason not-negotiated (-4) Error: gst-stream-error-quark: Internal data stream error. (1): gstnvinfer.cpp(2299): gst_nvinfer_output_loop (): /GstPipeline:pipeline0/GstNvInfer:primary-inference: streaming stopped, reason not-negotiated (-4) Exiting app

Thank you for any kind of help. I will appreciate very much.

bharath5673 commented 1 year ago

hi @stepstep123 .. may i know your device config // gpu-info ?

stepstep123 commented 1 year ago

@bharath5673 thanks your reply

envs:

deepstream-app version 6.1.0 DeepStreamSDK 6.1.0 Driver Version 515.65 CUDA 11.6

bharath5673 commented 1 year ago

@bharath5673 thanks your reply

envs:

deepstream-app version 6.1.0 DeepStreamSDK 6.1.0 Driver Version 515.65 CUDA 11.6

i got that,, are u running gtx1050 series graphics card ? this is due to display drivers issue and still there is no fix for few drivers from NVIDIA too

these below links may help you : https://forums.developer.nvidia.com/t/blank-screen-black-while-running-the-deepstream-app-for-trafficcamnet-in-samples-configs-tlt-pretrained-models/172977/5 https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_troubleshooting.html