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Hello all,
I'm using open vino edge_insight_industrial
while trying to export the model(i.e converting int XML & Bin),
I'm getting the error.
File "/home/kmlubuntu/training_extensions/external/mmdetection/tools/export.py", line 283, in main
with_text=with_text)
File "/home/kmlubuntu/training_extensions/external/mmdetection/tools/export.py", line 173, in export_to_openvino
raise RuntimeError('OpenVINO Model Optimizer is not found or configured improperly')
RuntimeError: OpenVINO Model Optimizer is not found or configured improperly
Traceback (most recent call last):
File "export.py", line 41, in <module>
main()
File "export.py", line 37, in main
exporter(ote_args)
File "/home/kmlubuntu/training_extensions/ote/ote/modules/exporters/base.py", line 31, in __call__
self._export_to_openvino(args, tools_dir)
File "/home/kmlubuntu/training_extensions/ote/ote/modules/exporters/mmdetection.py", line 112, in _export_to_openvino
super()._export_to_openvino(args, tools_dir)
File "/home/kmlubuntu/training_extensions/ote/ote/modules/exporters/mmdetection.py", line 51, in _export_to_openvino
run_through_shell(f'python3 {os.path.join(tools_dir, "export.py")} '
File "/home/kmlubuntu/training_extensions/ote/ote/utils/misc.py", line 165, in run_through_shell
**std_streams_args)
File "/usr/lib/python3.6/subprocess.py", line 438, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command 'python3 /home/kmlubuntu/training_extensions/external/mmdetection/tools/export.py model.py /tmp/my_model/outputs/latest.pth /tmp/my_model/export --update_config data.train.dataset.classes=[\"vehicle\",\"person\",\"non-vehicle\"] data.val.classes=[\"vehicle\",\"person\",\"non-vehicle\"] data.test.classes=[\"vehicle\",\"person\",\"non-vehicle\"] model.bbox_head.num_classes=3 --opset=11 openvino --input_format BGR' returned non-zero exit status 1.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/kmlubuntu/training_extensions/external/mmdetection/tools/export.py", line 326, in <module>
sys.exit(main(args) or 0)
File "/home/kmlubuntu/training_extensions/external/mmdetection/tools/export.py", line 283, in main
with_text=with_text)
File "/home/kmlubuntu/training_extensions/external/mmdetection/tools/export.py", line 173, in export_to_openvino
raise RuntimeError('OpenVINO Model Optimizer is not found or configured improperly')
RuntimeError: OpenVINO Model Optimizer is not found or configured improperly
Traceback (most recent call last):
File "export.py", line 41, in <module>
main()
File "export.py", line 37, in main
exporter(ote_args)
File "/home/kmlubuntu/training_extensions/ote/ote/modules/exporters/base.py", line 31, in __call__
self._export_to_openvino(args, tools_dir)
File "/home/kmlubuntu/training_extensions/ote/ote/modules/exporters/mmdetection.py", line 112, in _export_to_openvino
super()._export_to_openvino(args, tools_dir)
File "/home/kmlubuntu/training_extensions/ote/ote/modules/exporters/mmdetection.py", line 51, in _export_to_openvino
run_through_shell(f'python3 {os.path.join(tools_dir, "export.py")} '
File "/home/kmlubuntu/training_extensions/ote/ote/utils/misc.py", line 165, in run_through_shell
**std_streams_args)
File "/usr/lib/python3.6/subprocess.py", line 438, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command 'python3 /home/kmlubuntu/training_extensions/external/mmdetection/tools/export.py model.py /tmp/my_model/outputs/latest.pth /tmp/my_model/export --update_config data.train.dataset.classes=[\"vehicle\",\"person\",\"non-vehicle\"] data.val.classes=[\"vehicle\",\"person\",\"non-vehicle\"] data.test.classes=[\"vehicle\",\"person\",\"non-vehicle\"] model.bbox_head.num_classes=3 --opset=11 openvino --input_format BGR' returned non-zero exit status 1.
Specification
OS :ubuntu 18.04
processor : i7 11gen
i tried reinstalling the complete package at least 3 times but can't figured this out!
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Hi basaveswara,
OpenVINO is part of the video ingestion container included with EII. Training extensions will need to utilize OpenVINO model optimizer that is locally installed on the computer. Could you try to install OpenVINO locally on the system and trying again?
https://software.intel.com/en-us/openvino-toolkit
Regards,
Jesus
コピーされたリンク
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Hi basaveswara,
Thanks for reaching out, could you share a bit more information?
- What version of EII are you using?
- What command did you run?
Regards,
Jesus
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Hi JesusE_Intel,
EII Version : 2.6
command :
python export.py \ --load-weights ${WORK_DIR}/outputs/latest.pth \ --save-model-to ${WORK_DIR}/export
though i have the latest.pth ,I'm getting the same error
Link that i followed: "https://github.com/openvinotoolkit/training_extensions/tree/develop/models/object_detection/model_templates/custom-object-detection"
I had attached the log files in the following.please take a look
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Hi basaveswara,
OpenVINO is part of the video ingestion container included with EII. Training extensions will need to utilize OpenVINO model optimizer that is locally installed on the computer. Could you try to install OpenVINO locally on the system and trying again?
https://software.intel.com/en-us/openvino-toolkit
Regards,
Jesus
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Hi Jesus,
I'm getting the same error. though I had reinstalled the openvino locally
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Hi basaveswara,
When you installed OpenVINO did you set the environment variables?
source /opt/intel/openvino_2021/bin/setupvars.sh
Could you provide the output of your command line, sourcing the environment variables and running the commands up until the error?
Regards,
Jesus
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Hi Jesus,
When you installed Open Vino did you set the environment variables?
Yes
Could you provide the output of your command line, sourcing the environment variables and running the commands up until the error?
I had attached the picture of the errors and the environmental variables.
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Hi basaveswara,
Thank you for sharing the screenshots, it looks like you are running the script within a virtual environment but the sourcing of the OpenVINO environment variables is happening outside of the virtual environment.
Please try souring OpenVINO from within the virtual environment (detection).
Regards,
Jesus
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