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(venv) orangepi@orangepi5plus:~/rknn-multi-threaded-python$ python3.9 main.py
I RKNN: [12:13:27.682] RKNN Runtime Information: librknnrt version: 1.5.2 (c6b7b351a@2023-08-23T15:28:22)
I RKNN: [12:13:27.682] RKNN Driver Information: version: 0.8.8
I RKNN: [12:13:27.682] RKNN Model Information: version: 2, toolkit version: 1.4.1-source_code(compiler version: 1.4.1b12 (c6f5b0be6@2022-11-01T01:48:10)), target: RKNPU v2, target platform: rk3588, framework name: PyTorch, framework layout: NCHW, model inference type: static_shape
./rknnModel/yolov5s_relu_tk2_RK3588_i8.rknn done
W RKNN: [12:13:27.839] Output(172): size_with_stride larger than model origin size, if need run OutputOperator in NPU, please call rknn_create_memory using size_with_stride.
W RKNN: [12:13:27.839] Output(173): size_with_stride larger than model origin size, if need run OutputOperator in NPU, please call rknn_create_memory using size_with_stride.
W RKNN: [12:13:27.839] Output(174): size_with_stride larger than model origin size, if need run OutputOperator in NPU, please call rknn_create_memory using size_with_stride.
W RKNN: [12:13:27.907] Output(172): size_with_stride larger than model origin size, if need run OutputOperator in NPU, please call rknn_create_memory using size_with_stride.
W RKNN: [12:13:27.907] Output(173): size_with_stride larger than model origin size, if need run OutputOperator in NPU, please call rknn_create_memory using size_with_stride.
W RKNN: [12:13:27.907] Output(174): size_with_stride larger than model origin size, if need run OutputOperator in NPU, please call rknn_create_memory using size_with_stride.
qt.qpa.xcb: could not connect to display :0
qt.qpa.plugin: Could not load the Qt platform plugin "xcb" in "/home/orangepi/.local/lib/python3.9/site-packages/cv2/qt/plugins" even though it was found.
This application failed to start because no Qt platform plugin could be initialized. Reinstalling the application may fix this problem.
我用的是python3.9,安装的是1.4.0的rknn库。
The text was updated successfully, but these errors were encountered:
(venv) orangepi@orangepi5plus:~/rknn-multi-threaded-python$ python3.9 main.py
I RKNN: [12:13:27.682] RKNN Runtime Information: librknnrt version: 1.5.2 (c6b7b351a@2023-08-23T15:28:22)
I RKNN: [12:13:27.682] RKNN Driver Information: version: 0.8.8
I RKNN: [12:13:27.682] RKNN Model Information: version: 2, toolkit version: 1.4.1-source_code(compiler version: 1.4.1b12 (c6f5b0be6@2022-11-01T01:48:10)), target: RKNPU v2, target platform: rk3588, framework name: PyTorch, framework layout: NCHW, model inference type: static_shape
./rknnModel/yolov5s_relu_tk2_RK3588_i8.rknn done
W RKNN: [12:13:27.839] Output(172): size_with_stride larger than model origin size, if need run OutputOperator in NPU, please call rknn_create_memory using size_with_stride.
W RKNN: [12:13:27.839] Output(173): size_with_stride larger than model origin size, if need run OutputOperator in NPU, please call rknn_create_memory using size_with_stride.
W RKNN: [12:13:27.839] Output(174): size_with_stride larger than model origin size, if need run OutputOperator in NPU, please call rknn_create_memory using size_with_stride.
W RKNN: [12:13:27.907] Output(172): size_with_stride larger than model origin size, if need run OutputOperator in NPU, please call rknn_create_memory using size_with_stride.
W RKNN: [12:13:27.907] Output(173): size_with_stride larger than model origin size, if need run OutputOperator in NPU, please call rknn_create_memory using size_with_stride.
W RKNN: [12:13:27.907] Output(174): size_with_stride larger than model origin size, if need run OutputOperator in NPU, please call rknn_create_memory using size_with_stride.
qt.qpa.xcb: could not connect to display :0
qt.qpa.plugin: Could not load the Qt platform plugin "xcb" in "/home/orangepi/.local/lib/python3.9/site-packages/cv2/qt/plugins" even though it was found.
This application failed to start because no Qt platform plugin could be initialized. Reinstalling the application may fix this problem.
我用的是python3.9,安装的是1.4.0的rknn库。
The text was updated successfully, but these errors were encountered: