open_model_zoo
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openvinotoolkit
Pre-trained Deep Learning models and demos (high quality and extremely fast)
I followed the install guide on https://pypi.org/project/openvino-dev/ When running the command `python -m pip install openvino-dev[caffe,onnx,tensorflow2,pytorch,mxnet]==2021.4.2` this error occurred: ``` Collecting openvino-dev[caffe,mxnet,onnx,pytorch,tensorflow2]==2021.4.2 Using cached openvino_dev-2021.4.2-3976-py3-none-any.whl (6.2 MB) Collecting pandas~=1.1.5 Using...
Signed-off-by: Wang, Yang Details: - Enable AUTO, AUTO:CPU and AUTO:GPU for loaded device - Add additional displaying including FPS, device name and duration time of loading network. Tickets: - CVS-69029
> If a model uses a dataset which is not supported by the Accuracy Checker, you also must provide the license and the link to it and mention it in...
After converting our custom layer to accommodate OpenVino API changes twice before, we're at it again, now upgrading from 2020.2 to 2021.4. Except now there seems to be zero complete...
Expands the `object_detection_demo` with ONNX Runtime Adapter. To run demo, use `--adapter onnx` key. Don't forget to set proper mean/scale values. Before running, install onnx_runtime via `pip install onnxruntime` TO...
If the count of ground truth positives of a class is zero, average precision of this class is undefined. Accuracy checker ignores such classes when calculating `coco_*` metrics ( `coco_precision`...
I run accuracy_checker with person-detection-retail-0013/FP32 model on coco val2017 dataset, and the mAP is 47.62%, much lower than the reference(0.8862). What might be wrong? The command and result: ``` (v39)...
Hello! Thank you for the amazing work done! I would like to calculate MaP for object detection model and experiencing some problems. First, I couldn't find the link in the...
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Pre-trained Deep Learning models and demos (high quality and extremely fast)