I am trying to run the single pose estimation demo model using
single_human_pose_estimation_demo.py --model_od mobilenet-ssd.xml --model_hpe human-pose-estimation-0001.xml
I keep getting error
\Desktop\single_human_pose_estimation_demo\estimator.py", line 92, in __init__
assert len(self.model.outputs) == 1, "Expected 1 output blob"
AssertionError: Expected 1 output blob
Why is this happeing
連結已複製
Hi Yasha,
To run the single-human-pose-estimation-demo, use single-human-pose-estimation-0001 model which is available to download using model downloader.
you can follow the below commands to convert the single-human-pose-estimation-0001.pth to IR files.:
python3 /opt/intel/openvino/deployment_tools/tools/model_downloader/pytorch_to_onnx.py --model-name=SinglePersonPoseEstimationWithMobileNet --weights=single-human-pose-estimation-0001.pth --input-shape=1,3,384,288 --output-file=single-human-pose-estimation-0001.onnx --output-names=heatmaps0,heatmaps1,heatmaps2,heatmaps3,heatmaps4,heatmaps --input-names=data --import-module=models
python3 /opt/intel/openvino/deployment_tools/model_optimizer/mo_onnx.py --input=data --mean_values=data[123.675,116.28,103.53] --scale_values=data[58.395,57.12,57.375] --output=heatmaps --input_model=single-human-pose-estimation-0001.onnx
Then the run the single-human-pose-estimation-demo using the generated IR and object-detection model.
Hope this helps.
Regards,
Ram prasad
Hi Yasha,
This is the only model that works for this demo.
The OpenVINO models are for the demonstration purpose. You can train and use your models for more accuracy.
Feel free to ask any other questions.
Regards,
Ram prasad
python3 /opt/intel/openvino/deployment_tools/tools/model_downloader/pytorch_to_onnx.py --model-name=SinglePersonPoseEstimationWithMobileNet --weights=single-human-pose-estimation-0001.pth --input-shape=1,3,384,288 --output-file=single-human-pose-estimation-0001.onnx --output-names=heatmaps0,heatmaps1,heatmaps2,heatmaps3,heatmaps4,heatmaps --input-names=data --import-module=models
Module SinglePersonPoseEstimationWithMobileNet doesn't exist. Check if it is installed
No module named 'models'
?????
Can you try to export the path to models directory using PYTHONPATH as mentioned below:
export PYTHONPATH=/opt/intel/openvino/deployment_tools/tools/model_downloader/public/single-human-pose-estimation-0001/single-human-pose-estimation-0001
Hope this helps.
Regards,
Ram prasad
Module SinglePersonPoseEstimationWithMobileNet doesn't exist. Check if it is installed
No module named 'models'
@SIRIGIRI_V_Intel wrote:
Can you try to export the path to models directory using PYTHONPATH as mentioned below:
export PYTHONPATH=/opt/intel/openvino/deployment_tools/tools/model_downloader/public/single-human-pose-estimation-0001/single-human-pose-estimation-0001Hope this helps.
Regards,
Ram prasad
Hi, I have similar errors, but I am running in Windows 10 environment. How can I solve this since export or set pythonpath is not working for me
Hello,
Were you able to figure it out? Even I am using it in windows 10 environment and getting the same error.
Thanks!
Ram prasad (Intel) wrote:Hi Yasha,
To run the single-human-pose-estimation-demo, use single-human-pose-estimation-0001 model which is available to download using model downloader.
you can follow the below commands to convert the single-human-pose-estimation-0001.pth to IR files.:
python3 /opt/intel/openvino/deployment_tools/tools/model_downloader/pytorch_to_onnx.py --model-name=SinglePersonPoseEstimationWithMobileNet --weights=single-human-pose-estimation-0001.pth --input-shape=1,3,384,288 --output-file=single-human-pose-estimation-0001.onnx --output-names=heatmaps0,heatmaps1,heatmaps2,heatmaps3,heatmaps4,heatmaps --input-names=data --import-module=models
python3 /opt/intel/openvino/deployment_tools/model_optimizer/mo_onnx.py --input=data --mean_values=data[123.675,116.28,103.53] --scale_values=data[58.395,57.12,57.375] --output=heatmaps --input_model=single-human-pose-estimation-0001.onnx
Then the run the single-human-pose-estimation-demo using the generated IR and object-detection model.
Hope this helps.
Regards,
Ram prasad
Hello Ram
When I run
python3 /opt/intel/openvino/deployment_tools/model_optimizer/mo_onnx.py --input=data --mean_values=data[123.675,116.28,103.53] --scale_values=data[58.395,57.12,57.375] --output=heatmaps --input_model=single-human-pose-estimation-0001.onnx
It shows
zsh: no matches found: --mean_values=data[123.675,116.28,103.53]
What should I do?
(MacOS, Openvino 2020.3)
zhang, zihao wrote:Hello Ram
When I run
python3 /opt/intel/openvino/deployment_tools/model_optimizer/mo_onnx.py --input=data --mean_values=data[123.675,116.28,103.53] --scale_values=data[58.395,57.12,57.375] --output=heatmaps --input_model=single-human-pose-estimation-0001.onnx
It shows
zsh: no matches found: --mean_values=data[123.675,116.28,103.53]
What should I do?
(MacOS, Openvino 2020.3)
Try to run the complete command
python3 --input=data --mean_values=data[123.675,116.28,103.53] --scale_values=data[58.395,57.12,57.375] --output=heatmaps --input_model=single-human-pose-estimation-0001.onnx --reverse_input_channels --input_shape=[1,3,384,288]
Or if you are using the original PyTorch model of single-human-pose-estimation-0001, you could use the converter.py within openvino/deployment_tools/open_model_zoo/tools/downloader/ for full conversion over to ONNX and then further to IR.
Hope this helps.
Thanks.
