YOLO segmentation model not working on jetpack 4.6.4

[Keshav-Asopa]

Hardware Platform (Jetson / GPU) = Jetson nano DeepStream Version = 6.0.1 JetPack Version (valid for Jetson only) = 4.6.4 TensorRT Version = 8.2.1.8-1+cuda10.2 Python version = 3.6.9

I have followed this link and perform all the steps https://github.com/marcoslucianops/DeepStream-Yolo-Seg/blob/master/docs/YOLOv8_Seg.md 1

I have converted my custom yolov8-seg model into onnx using

python3 export_yoloV8.py -w yolov8s.pt --simplify

While running this command

deepstream-app -c deepstream_app_config.txt

i am getting this output: #####################################################################################################

root@ubuntu:/opt/nvidia/DeepStream-Yolo-Seg# deepstream-app -c deepstream_app_config.txt

Using winsys: x11 ERROR: Deserialize engine failed because file path: /opt/nvidia/DeepStream-Yolo-Seg/S_Kerbhit_YoloV8.onnx_b1_gpu0_fp32.engine open error 0:00:06.595090589 6736 0x7f1c001f80 WARN nvinfer gstnvinfer.cpp:635:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::deserializeEngineAndBackend() [UID = 1]: deserialize engine from file :/opt/nvidia/DeepStream-Yolo-Seg/S_Kerbhit_YoloV8.onnx_b1_gpu0_fp32.engine failed 0:00:06.596617444 6736 0x7f1c001f80 WARN nvinfer gstnvinfer.cpp:635:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::generateBackendContext() [UID = 1]: deserialize backend context from engine from file :/opt/nvidia/DeepStream-Yolo-Seg/S_Kerbhit_YoloV8.onnx_b1_gpu0_fp32.engine failed, try rebuild 0:00:06.596735936 6736 0x7f1c001f80 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() [UID = 1]: Trying to create engine from model files WARNING: [TRT]: onnx2trt_utils.cpp:366: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32. WARNING: [TRT]: onnx2trt_utils.cpp:392: One or more weights outside the range of INT32 was clamped WARNING: [TRT]: Tensor DataType is determined at build time for tensors not marked as input or output. ERROR: [TRT]: ModelImporter.cpp:773: While parsing node number 290 [RoiAlign -> "/1/RoiAlign_output_0"]: ERROR: [TRT]: ModelImporter.cpp:774: --- Begin node --- ERROR: [TRT]: ModelImporter.cpp:775: input: "/0/model.22/proto/cv3/act/Mul_output_0" input: "/1/Gather_5_output_0" input: "/1/Gather_1_output_0" output: "/1/RoiAlign_output_0" name: "/1/RoiAlign" op_type: "RoiAlign" attribute { name: "coordinate_transformation_mode" s: "half_pixel" type: STRING } attribute { name: "mode" s: "avg" type: STRING } attribute { name: "output_height" i: 160 type: INT } attribute { name: "output_width" i: 160 type: INT } attribute { name: "sampling_ratio" i: 0 type: INT } attribute { name: "spatial_scale" f: 0.25 type: FLOAT }

ERROR: [TRT]: ModelImporter.cpp:776: --- End node --- ERROR: [TRT]: ModelImporter.cpp:779: ERROR: builtin_op_importers.cpp:4870 In function importFallbackPluginImporter: [8] Assertion failed: creator && "Plugin not found, are the plugin name, version, and namespace correct?" ERROR: Failed to parse onnx file ERROR: failed to build network since parsing model errors. ERROR: failed to build network. 0:00:08.599046925 6736 0x7f1c001f80 ERROR nvinfer gstnvinfer.cpp:632:gst_nvinfer_logger: NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::buildModel() [UID = 1]: build engine file failed 0:00:08.600637322 6736 0x7f1c001f80 ERROR nvinfer gstnvinfer.cpp:632:gst_nvinfer_logger: NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::generateBackendContext() [UID = 1]: build backend context failed 0:00:08.600739668 6736 0x7f1c001f80 ERROR nvinfer gstnvinfer.cpp:632:gst_nvinfer_logger: NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::initialize() [UID = 1]: generate backend failed, check config file settings 0:00:08.601245199 6736 0x7f1c001f80 WARN nvinfer gstnvinfer.cpp:841:gst_nvinfer_start: error: Failed to create NvDsInferContext instance 0:00:08.601298586 6736 0x7f1c001f80 WARN nvinfer gstnvinfer.cpp:841:gst_nvinfer_start: error: Config file path: /opt/nvidia/DeepStream-Yolo-Seg/config_infer_primary_yoloV5_seg.txt, NvDsInfer Error: NVDSINFER_CONFIG_FAILED ** ERROR: : Failed to set pipeline to PAUSED Quitting ERROR from primary_gie: Failed to create NvDsInferContext instance Debug info: /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvinfer/gstnvinfer.cpp(841): gst_nvinfer_start (): /GstPipeline:pipeline/GstBin:primary_gie_bin/GstNvInfer:primary_gie: Config file path: /opt/nvidia/DeepStream-Yolo-Seg/config_infer_primary_yoloV5_seg.txt, NvDsInfer Error: NVDSINFER_CONFIG_FAILED App run failed

##################################################################################################### Please find attached the onnx graph.

[Keshav-Asopa]

Please let me know if there is any update on it