我使用PyCharm连接到远程解释器(但我猜答案有点不相关):基本上,PyCharm通过SSH连接到远程Python解释器,并在远程机器上执行代码。
我使用的远程解释器实际上是“微调”的。它是一个名为mypython的文件,包含以下代码:
#!/bin/bash -l
export PATH="/home/ubuntu/.local/bin:/usr/local/cuda-11.1/bin:/home/ubuntu/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin:${PATH}"
export LD_LIBRARY_PATH="/home/ubuntu/.local/lib:/usr/local/cuda-11.1/lib64:/home/ubuntu/.local/lib:/usr/local/cuda-11.1/lib64:${LD_LIBRARY_PATH}"
export PYTHONPATH="/home/ubuntu/VideoProcessingFramework/install/bin:${PYTHONPATH}"
export PATH="/home/ubuntu/FFmpeg/build_x64_release_shared/bin:${PATH}"
export LD_LIBRARY_PATH="/home/ubuntu/VideoProcessingFramework/install/bin:${LD_LIBRARY_PATH}"
export LD_LIBRARY_PATH="/home/ubuntu/FFmpeg/build_x64_release_shared/lib:${LD_LIBRARY_PATH}"
export PATH="/home/ubuntu/pytorch/build/bin:${PATH}"
export LD_LIBRARY_PATH="/home/ubuntu/pytorch/build/lib:${LD_LIBRARY_PATH}"
# My attempt at having OpenVINO working on PyCharm remote interpreter
export PYTHONPATH="${PYTHONPATH}:/opt/intel/openvino_2021.1.110/python/python3.6:/opt/intel/openvino_2021.1.110/python/python3:/opt/intel/openvino_2021.1.110/deployment_tools/tools/post_training_optimization_toolkit:/opt/intel/openvino_2021.1.110/deployment_tools/open_model_zoo/tools/accuracy_checker:/opt/intel/openvino_2021.1.110/deployment_tools/model_optimizer:/opt/intel/openvino_2021.1.110/data_processing/dl_streamer/python:/opt/intel/openvino_2021.1.110/data_processing/gstreamer/lib/python3.6/site-packages:/usr/lib/python3/dist-packages"
export OpenCV_DIR="/opt/intel/openvino_2021.1.110/opencv/cmake"
export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/opt/intel/openvino_2021.1.110/data_processing/dl_streamer/lib:/opt/intel/openvino_2021.1.110/data_processing/gstreamer/lib:/opt/intel/openvino_2021.1.110/opencv/lib:/opt/intel/openvino_2021.1.110/deployment_tools/ngraph/lib:/opt/intel/openvino_2021.1.110/deployment_tools/inference_engine/external/hddl_unite/lib:/opt/intel/openvino_2021.1.110/deployment_tools/inference_engine/external/hddl/lib:/opt/intel/openvino_2021.1.110/deployment_tools/inference_engine/external/gna/lib:/opt/intel/openvino_2021.1.110/deployment_tools/inference_engine/external/mkltiny_lnx/lib:/opt/intel/openvino_2021.1.110/deployment_tools/inference_engine/external/tbb/lib:/opt/intel/openvino_2021.1.110/deployment_tools/inference_engine/lib/intel64"
export GST_SAMPLES_DIR="/opt/intel/openvino_2021.1.110/data_processing/dl_streamer/samples"
export MODELS_PATH="/root/intel/dl_streamer/models"
export PKG_CONFIG_PATH="/opt/intel/openvino_2021.1.110/data_processing/dl_streamer/lib/pkgconfig:/opt/intel/openvino_2021.1.110/data_processing/gstreamer/lib/pkgconfig:"
export GSTREAMER_EXECUTABLES_DIR="/opt/intel/openvino_2021.1.110/data_processing/gstreamer/bin:/opt/intel/openvino_2021.1.110/data_processing/gstreamer/bin/gstreamer-1.0"
export GST_PLUGIN_PATH="$GST_PLUGIN_PATH:/opt/intel/openvino_2021.1.110/data_processing/gstreamer/lib/gstreamer-1.0"
export GST_PLUGIN_SCANNER="/opt/intel/openvino_2021.1.110/data_processing/gstreamer/bin/gstreamer-1.0/gst-plugin-scanner"
export GST_VAAPI_ALL_DRIVERS=1
/usr/bin/python3 "$@"这允许我指定Python所需的一些环境变量。由于我在远程计算机上安装了OpenVINO,所以需要在mypython代码中添加命令:source /opt/intel/openvino_2021.1.110/bin/setupvars.sh。然而,一旦我这样做了,PyCharm似乎拒绝使用我的mypython解释器(它只是被卡住了)。
动机:
source /opt/intel/openvino_2021.1.110/bin/setupvars.sh,则可以从PyCharm远程解释器中正确地从python3Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/IPython/core/interactiveshell.py", line 2882, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-2-c8ec22b3e787>", line 1, in <module>
import cv2
ImportError: /opt/intel/openvino_2021.1.110/opencv/lib/libopencv_dnn.so.4.5: undefined symbol: _ZN15InferenceEngine10CNNNetworkC1ERKSt10shared_ptrIN6ngraph8FunctionEE发布于 2021-10-12 01:13:06
可能的解决办法:
使用ssh source /opt/intel/openvino_2021.1.110/bin/setupvars.sh
printenv,将所有变量包含到mypython源代码中。我仍然想知道是否有一种在source /opt/intel/openvino_2021.1.110/bin/setupvars.sh源代码中运行mypython的方法.编辑:在我的案例中--从我的环境变量中--解决了这个问题:
export LD_LIBRARY_PATH="/home/ubuntu/.local/lib:/usr/local/cuda-11.1/lib64:/home/ubuntu/.local/lib:/usr/local/cuda-11.1/lib64:${LD_LIBRARY_PATH}"不确定是否有用cuda编译的旧OpenCV版本。
https://stackoverflow.com/questions/69533885
复制相似问题