Hello,my computer is jetson orin nx, I run this code that has this bug. And It's not any pose when runing.
SOURCE: file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4
INFER_CONFIG: config_infer_primary_yolo11_pose.txt
STREAMMUX_BATCH_SIZE: 1
STREAMMUX_WIDTH: 1280
STREAMMUX_HEIGHT: 720
GPU_ID: 0
PERF_MEASUREMENT_INTERVAL_SEC: 5
JETSON: TRUE
WARNING: Deserialize engine failed because file path: /home/xxx/DeepStream-Yolo-Pose-master/yolo11n-pose.onnx_b1_gpu0_fp32.engine open error
0:00:02.922469958 2867976 0xaaab0d0c80c0 WARN nvinfer gstnvinfer.cpp:679:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1976> [UID = 1]: deserialize engine from file :/home/xxx/DeepStream-Yolo-Pose-master/yolo11n-pose.onnx_b1_gpu0_fp32.engine failed
0:00:03.104283277 2867976 0xaaab0d0c80c0 WARN nvinfer gstnvinfer.cpp:679:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:2081> [UID = 1]: deserialize backend context from engine from file :/home/xxx/DeepStream-Yolo-Pose-master/yolo11n-pose.onnx_b1_gpu0_fp32.engine failed, try rebuild
0:00:03.104340591 2867976 0xaaab0d0c80c0 INFO nvinfer gstnvinfer.cpp:682:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:2002> [UID = 1]: Trying to create engine from model files
WARNING: [TRT]: onnx2trt_utils.cpp:375: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
0:03:57.238077363 2867976 0xaaab0d0c80c0 INFO nvinfer gstnvinfer.cpp:682:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:2034> [UID = 1]: serialize cuda engine to file: /home/xxx/DeepStream-Yolo-Pose-master/yolo11n-pose.onnx_b1_gpu0_fp32.engine successfully
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: [Implicit Engine Info]: layers num: 2
0 INPUT kFLOAT input 3x640x640
1 OUTPUT kFLOAT output 8400x56
0:03:57.518338203 2867976 0xaaab0d0c80c0 INFO nvinfer gstnvinfer_impl.cpp:328:notifyLoadModelStatus: [UID 1]: Load new model:config_infer_primary_yolo11_pose.txt sucessfully
DEBUG - FPS of stream 1: 0.00 (0.00)
(deepstream:2867976): GLib-GObject-WARNING **: 17:55:49.034: g_object_set_is_valid_property: object class 'nvv4l2decoder' has no property named 'qos'
Opening in BLOCKING MODE
NvMMLiteOpen : Block : BlockType = 261
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NvMMLiteBlockCreate : Block : BlockType = 261
DEBUG - FPS of stream 1: 0.00 (0.00)
DEBUG - FPS of stream 1: 0.53 (0.48)
DEBUG - FPS of stream 1: 0.76 (0.60)
DEBUG - FPS of stream 1: 0.76 (0.65)
DEBUG - FPS of stream 1: 0.76 (0.68)
DEBUG - FPS of stream 1: 0.76 (0.67)
DEBUG - FPS of stream 1: 0.76 (0.69)
Hello,my computer is jetson orin nx, I run this code that has this bug. And It's not any pose when runing.
SOURCE: file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4
INFER_CONFIG: config_infer_primary_yolo11_pose.txt
STREAMMUX_BATCH_SIZE: 1
STREAMMUX_WIDTH: 1280
STREAMMUX_HEIGHT: 720
GPU_ID: 0
PERF_MEASUREMENT_INTERVAL_SEC: 5
JETSON: TRUE
WARNING: Deserialize engine failed because file path: /home/xxx/DeepStream-Yolo-Pose-master/yolo11n-pose.onnx_b1_gpu0_fp32.engine open error
0:00:02.922469958 2867976 0xaaab0d0c80c0 WARN nvinfer gstnvinfer.cpp:679:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1976> [UID = 1]: deserialize engine from file :/home/xxx/DeepStream-Yolo-Pose-master/yolo11n-pose.onnx_b1_gpu0_fp32.engine failed
0:00:03.104283277 2867976 0xaaab0d0c80c0 WARN nvinfer gstnvinfer.cpp:679:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:2081> [UID = 1]: deserialize backend context from engine from file :/home/xxx/DeepStream-Yolo-Pose-master/yolo11n-pose.onnx_b1_gpu0_fp32.engine failed, try rebuild
0:00:03.104340591 2867976 0xaaab0d0c80c0 INFO nvinfer gstnvinfer.cpp:682:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:2002> [UID = 1]: Trying to create engine from model files
WARNING: [TRT]: onnx2trt_utils.cpp:375: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
0:03:57.238077363 2867976 0xaaab0d0c80c0 INFO nvinfer gstnvinfer.cpp:682:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:2034> [UID = 1]: serialize cuda engine to file: /home/xxx/DeepStream-Yolo-Pose-master/yolo11n-pose.onnx_b1_gpu0_fp32.engine successfully
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: [Implicit Engine Info]: layers num: 2
0 INPUT kFLOAT input 3x640x640
1 OUTPUT kFLOAT output 8400x56
0:03:57.518338203 2867976 0xaaab0d0c80c0 INFO nvinfer gstnvinfer_impl.cpp:328:notifyLoadModelStatus: [UID 1]: Load new model:config_infer_primary_yolo11_pose.txt sucessfully
DEBUG - FPS of stream 1: 0.00 (0.00)
(deepstream:2867976): GLib-GObject-WARNING **: 17:55:49.034: g_object_set_is_valid_property: object class 'nvv4l2decoder' has no property named 'qos'
Opening in BLOCKING MODE
NvMMLiteOpen : Block : BlockType = 261
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NvMMLiteBlockCreate : Block : BlockType = 261
DEBUG - FPS of stream 1: 0.00 (0.00)
DEBUG - FPS of stream 1: 0.53 (0.48)
DEBUG - FPS of stream 1: 0.76 (0.60)
DEBUG - FPS of stream 1: 0.76 (0.65)
DEBUG - FPS of stream 1: 0.76 (0.68)
DEBUG - FPS of stream 1: 0.76 (0.67)
DEBUG - FPS of stream 1: 0.76 (0.69)