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* Update ImageNet1000.yaml
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* A minor correction in a comment
I added the 'h' in 'https' in the link to the label smoothing issue.
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* Added ClearML instance segmentation and classification support
* Cleaned up ClearML plot output
* typos
* Log results as plots instead of debug samples
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* Add ndjson logging for training
This adds support for NDJSON (newline-delimited JSON) metrics logging,
for both console (stdout) output and a file (like the current CSV file).
NDJSON can be easily grepped from the output and/or parsed with e.g. `jq`.
The feature is enabled with the `--ndjson-console` and `--ndjson-file`
switches to `train.py`.
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* Update LICENSE to AGPL-3.0
This pull request updates the license of the YOLOv5 project from GNU General Public License v3.0 (GPL-3.0) to GNU Affero General Public License v3.0 (AGPL-3.0).
We at Ultralytics have decided to make this change in order to better protect our intellectual property and ensure that any modifications made to the YOLOv5 source code will be shared back with the community when used over a network.
AGPL-3.0 is very similar to GPL-3.0, but with an additional clause to address the use of software over a network. This change ensures that if someone modifies YOLOv5 and provides it as a service over a network (e.g., through a web application or API), they must also make the source code of their modified version available to users of the service.
This update includes the following changes:
- Replace the `LICENSE` file with the AGPL-3.0 license text
- Update the license reference in the `README.md` file
- Update the license headers in source code files
We believe that this change will promote a more collaborative environment and help drive further innovation within the YOLOv5 community.
Please review the changes and let us know if you have any questions or concerns.
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update headers to AGPL-3.0
---------
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* Update Dockerfile `FROM pytorch/pytorch:latest`
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* isort
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* Cleanup
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* Cleanup
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* Standardize warnings
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* Make sure best.pt model file is preserved ClearML
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* update
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* update
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* smart project name inference
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* Update __init__.py
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* Add `@threaded` decorator
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* support nomedia
* support nomedia for validation
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* Update train.py
* Revert no plot evolve
evolve plots do not contain any images
* Revert plot_results
contains no media
* Update wandb_utils.py
* sync-bn cleanup
* Cleanup
* Rename nomedia -> noplots
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* add version warning
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* precommit: yapf
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# Conflicts:
# utils/plots.py
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* PyTorch Hub tuple fix
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* 🎉🆕 now can read Chinese image path.
use "cv2.imdecode(np.fromfile(f, np.uint8), cv2.IMREAD_COLOR)" instead of "cv2.imread(f)" for Chinese image path.
* Update datasets.py
* Update __init__.py
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Glenn Jocher
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