root@x-mansion:/media/professorx/SSD/DeepStream/deepstream_tao_apps/apps/tao_others/deepstream-gaze-app# ./deepstream-gaze-app 2 ../../../configs/facial_tao/sample_faciallandmarks_config.txt file:////home/professorx/gaze_video.mp4 ./gaze Request sink_0 pad from streammux Now playing: file:////home/professorx/gaze_video.mp4 Library Opened Successfully Setting custom lib properties # 1 Adding Prop: config-file : ../../../configs/gaze_tao/sample_gazenet_model_config.txt Inside Custom Lib : Setting Prop Key=config-file Value=../../../configs/gaze_tao/sample_gazenet_model_config.txt 0:00:09.368694184 15178 0x55c34d24f0 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger: NvDsInferContext[UID 2]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() [UID = 2]: deserialized trt engine from :/media/professorx/SSD/DeepStream/deepstream_tao_apps/models/faciallandmark/faciallandmarks.etlt_b32_gpu0_int8.engine INFO: [FullDims Engine Info]: layers num: 4 0 INPUT kFLOAT input_face_images 1x80x80 min: 1x1x80x80 opt: 32x1x80x80 Max: 32x1x80x80 1 OUTPUT kFLOAT conv_keypoints_m80 80x80x80 min: 0 opt: 0 Max: 0 2 OUTPUT kFLOAT softargmax 80x2 min: 0 opt: 0 Max: 0 3 OUTPUT kFLOAT softargmax:1 80 min: 0 opt: 0 Max: 0 ERROR: [TRT]: 3: Cannot find binding of given name: softargmax,softargmax:1,conv_keypoints_m80 0:00:09.369271761 15178 0x55c34d24f0 WARN nvinfer gstnvinfer.cpp:635:gst_nvinfer_logger: NvDsInferContext[UID 2]: Warning from NvDsInferContextImpl::checkBackendParams() [UID = 2]: Could not find output layer 'softargmax,softargmax:1,conv_keypoints_m80' in engine 0:00:09.369321330 15178 0x55c34d24f0 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger: NvDsInferContext[UID 2]: Info from NvDsInferContextImpl::generateBackendContext() [UID = 2]: Use deserialized engine model: /media/professorx/SSD/DeepStream/deepstream_tao_apps/models/faciallandmark/faciallandmarks.etlt_b32_gpu0_int8.engine 0:00:09.663523745 15178 0x55c34d24f0 INFO nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus: [UID 2]: Load new model:../../../configs/facial_tao/faciallandmark_sgie_config.txt sucessfully 0:00:09.664078921 15178 0x55c34d24f0 WARN nvinfer gstnvinfer.cpp:635:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::initialize() [UID = 1]: Warning, OpenCV has been deprecated. Using NMS for clustering instead of cv::groupRectangles with topK = 20 and NMS Threshold = 0.5 0:00:09.728998803 15178 0x55c34d24f0 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() [UID = 1]: deserialized trt engine from :/media/professorx/SSD/DeepStream/deepstream_tao_apps/models/faciallandmark/facenet.etlt_b1_gpu0_int8.engine INFO: [Implicit Engine Info]: layers num: 3 0 INPUT kFLOAT input_1 3x416x736 1 OUTPUT kFLOAT output_bbox/BiasAdd 4x26x46 2 OUTPUT kFLOAT output_cov/Sigmoid 1x26x46 0:00:09.729283384 15178 0x55c34d24f0 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() [UID = 1]: Use deserialized engine model: /media/professorx/SSD/DeepStream/deepstream_tao_apps/models/faciallandmark/facenet.etlt_b1_gpu0_int8.engine 0:00:09.735452218 15178 0x55c34d24f0 INFO nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus: [UID 1]: Load new model:../../../configs/facial_tao/config_infer_primary_facenet.txt sucessfully Decodebin child added: source Decodebin child added: decodebin0 Running... Decodebin child added: qtdemux0 Decodebin child added: multiqueue0 Decodebin child added: h264parse0 Decodebin child added: capsfilter0 Decodebin child added: nvv4l2decoder0 Opening in BLOCKING MODE NvMMLiteOpen : Block : BlockType = 261 NVMEDIA: Reading vendor.tegra.display-size : status: 6 NvMMLiteBlockCreate : Block : BlockType = 261 In cb_newpad ###Decodebin pick nvidia decoder plugin. WARNING: [TRT]: onnx2trt_utils.cpp:364: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32. WARNING: [TRT]: ShapedWeights.cpp:173: Weights fg_fc1_dense/kernel:0 has been transposed with permutation of (1, 0)! If you plan on overwriting the weights with the Refitter API, the new weights must be pre-transposed. WARNING: [TRT]: ShapedWeights.cpp:173: Weights fg_fc2_dense/kernel:0 has been transposed with permutation of (1, 0)! If you plan on overwriting the weights with the Refitter API, the new weights must be pre-transposed. WARNING: [TRT]: ShapedWeights.cpp:173: Weights fc1_e1_dense/kernel:0 has been transposed with permutation of (1, 0)! If you plan on overwriting the weights with the Refitter API, the new weights must be pre-transposed. WARNING: [TRT]: ShapedWeights.cpp:173: Weights fc1_f_dense/kernel:0 has been transposed with permutation of (1, 0)! If you plan on overwriting the weights with the Refitter API, the new weights must be pre-transposed. WARNING: [TRT]: ShapedWeights.cpp:173: Weights fc2_f_dense/kernel:0 has been transposed with permutation of (1, 0)! If you plan on overwriting the weights with the Refitter API, the new weights must be pre-transposed. WARNING: [TRT]: ShapedWeights.cpp:173: Weights xyz_fc_top_dense/kernel:0 has been transposed with permutation of (1, 0)! If you plan on overwriting the weights with the Refitter API, the new weights must be pre-transposed. WARNING: [TRT]: ShapedWeights.cpp:173: Weights xyz_fc/kernel:0 has been transposed with permutation of (1, 0)! If you plan on overwriting the weights with the Refitter API, the new weights must be pre-transposed. WARNING: [TRT]: ShapedWeights.cpp:173: Weights tp_fc_top_dense/kernel:0 has been transposed with permutation of (1, 0)! If you plan on overwriting the weights with the Refitter API, the new weights must be pre-transposed. WARNING: [TRT]: ShapedWeights.cpp:173: Weights tp_fc/kernel:0 has been transposed with permutation of (1, 0)! If you plan on overwriting the weights with the Refitter API, the new weights must be pre-transposed. WARNING: [TRT]: DLA requests all profiles have same min, max, and opt value. All dla layers are falling back to GPU WARNING: [TRT]: Detected invalid timing cache, setup a local cache instead