Use COCOMetric for mAP calculation #4
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* Refactoring cleanup * Update test.py
* Ignore Seaborn plot warnings * Update plots.py * Update metrics.py
* train.py GPU memory fix * ema * cuda * cuda * zeros input * to device * batch index 0
@kalenmike this is a PR to add image filenames and labels to our stats dictionary and to save the dictionary to JSON. Save location is next to the train labels.cache file. The single JSON contains all stats for entire dataset. Usage example: ```python from utils.datasets import * dataset_stats('coco128.yaml', verbose=True) ```
* Update README.md * added hosted images * added new logo * testing image hosting * changed svgs to pngs * removed old header * Update README.md * correct colab image source * splash.jpg * rocket and W&B fix * added contributing template * added social media to top section * increased size of top social media * cleanup and updates * rearrange quickstarts * API cleanup * PyTorch Hub cleanup * Add tutorials * cleanup * update CONTRIBUTING.md * Update README.md * update wandb link * Update README.md * remove tutorials header * update environments and integrations * Comment API image * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * double spaces after section * Update README.md * Update README.md Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* 'changes-in_dataset' * Update datasets.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* supress wandb images size mismatch warning * supress wandb images size mismatch warning * PEP8 reformat and optimize imports Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update `check_file()` * Update datasets.py
* premature end of JPEG images * PEP8 reformat Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update CONTRIBUTING.md * Update CONTRIBUTING.md * Update CONTRIBUTING.md * Update CONTRIBUTING.md
Be more user-friendly to new users
* Update `dataset_stats()` to list of dicts @kalenmike * Update datasets.py
* Remove `/weights` directory * cleanup
* Auto-download Arial.ttf on init * Fix ROOT
…#4608) Layer 21 includes the information of xsmall objects
* Close plots * Replace fig.close() for plt.close()
* Remove assert * debug0 * trace=not opt.sync * sync to sync_bn fix * Cleanup
Fix 3 for Arial.ttf redownloads with hub inference, follow-on to ultralytics#4628.
…used correctly during training
# Conflicts: # README.md
…arch more generic.
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Hello @potipot, thank you for submitting a PR! To allow your work to be integrated as seamlessly as possible, we advise you to:
- Verify your PR is up-to-date with origin/master. If your PR is behind origin/master update by running the following, replacing 'feature' with the name of your local branch:
git remote add upstream https://github.com/ultralytics/yolov5.git
git fetch upstream
git checkout feature # <----- replace 'feature' with local branch name
git rebase upstream/master
git push -u origin -f- Verify all Continuous Integration (CI) checks are passing.
- Reduce changes to the absolute minimum required for your bug fix or feature addition. "It is not daily increase but daily decrease, hack away the unessential. The closer to the source, the less wastage there is." -Bruce Lee
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This PR replaces calculation of mAP done by ultarlytics implementation with more established and community accepted pycocotools COCOMetric.