New PyTorch Example: Object detection in Images with R-CNN #754
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Changes: * Format code using [Black](https://pypi.org/project/black/) * Extract coco labels to text file (since when Black formatted the array with a new line per item, it took up a lot of space) * Update version warning in file comments * Remove `print(config)`
deliahu
approved these changes
Jan 12, 2020
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Hey Arkin, this is an awesome example, thank you for your contribution!
I just pushed a few nit changes to your branch, e.g. I formatted with Black, and extracted coco_labels to a text file since after formatting it took up a fair amount of space in the Python file.
The code looks great, and thanks for your effort to match our existing examples (e.g. adding it to the appropriate README, and including the example README). Feel free to merge!
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Hey David, Thanks! However, I cannot merge since it says I do not have "write access" to the repository |
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Ah I see, sorry for the confusion. Merged! |
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Hey,
I have added a new PyTorch example that uses a pretrained Faster R-CNN for object detection. The labels returned are from the coco dataset. I use the same test image that's used in the image-classification example.
closes #
checklist:
make testandmake lintcortex deploy --refresh)summary.md