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[GSoC] Added TF and PyTorch detection model conversion cases by LupusSanctus · Pull Request #18237 · opencv/opencv · GitHub
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WIP: [GSoC] Added TF and PyTorch detection model conversion cases
[GSoC] Added TF and PyTorch detection model conversion cases
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| input_img = cv2.resize(input_img, (256, 256)) | ||
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| # define preprocess parameters | ||
| mean = np.array([0.485, 0.456, 0.406]) * 255.0 |
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It'll be great, if you point the origin of this values and where should users get it for other models.
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Is this feature abandoned at the moment? |
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Please squash commits into one, so we can see real size of this patch without history of intermediate changes. |
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Please squash commits into one (to trim git history) and rebase on the latest master? |
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…utorial [GSoC] Added TF and PyTorch detection model conversion cases * Added object detection convertion pipeline and tutorials * Added tutorial corrections
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GSoC project: "Write a tutorial about training a network in TF or PyTorch and then running it in OpenCV"
Part 1.Classification case.
Part 2. Segmentation case.
Part 3. Detection case.
Provided dnn_model_runner module part for the object detection model retrieval and processing for further reading and inference with OpenCV API.
Provided tutorial series.
Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
Patch to opencv_extra has the same branch name.