* Refactor code for speed and clarity
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* Refactor code for speed and clarity
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* Update ImageNet1000.yaml
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* improving evole in train.py
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* fix gen_ranges value in mutation part.
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remove on tab from "else"
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* Update train.py
Signed-off-by: Shayan Mousavinia <45814390+ShAmoNiA@users.noreply.github.com>
* Update train.py
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* fix range index
Signed-off-by: Shayan Mousavinia <45814390+ShAmoNiA@users.noreply.github.com>
* Update train.py
fix population size
add crossover min and max rate
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* save population for last generation
The latest version incorporates a significant update whereby all hyper parameters are now stored in the population section of "evolve_population.yaml," located in "yolov5\data\hyps," following the transition to the new generation. This development allows for the continuation of a previously abandoned evolution process by utilizing the former population. Additionally, a new argument, "--evolve_population," has been introduced to enable the relocation of the manual "evolve_population.yaml" to any project directory to load for the aforementioned purpose. This enhancement offers greater flexibility and convenience to the users, making it easier for them to resume their evolutionary process.
Signed-off-by: Shayan Mousavinia <45814390+ShAmoNiA@users.noreply.github.com>
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Update train.py
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* remove try - except
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* Update train.py
Add resume resume_evolve arg for **resume evolve from last generation**.
Population will load from data/hyp by default and load all yaml file form them.
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* Update train.py
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* Update train.py
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* Update train.py
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* Update train.py
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* Update train.py
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* Update README.zh-CN.md
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* Update train.py
update pop_size
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---------
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* 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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* Increase NCCL timeout to 3 hours
When training on a large dataset using DDP, the scanning process will be very long, and it will raise NCCL timeout error. Change the default timeout 30min to 3 hours, same as ultralytics yolov8 (https://github.com/ultralytics/ultralytics/pull/3343)
Signed-off-by: Troy <wudashuo@vip.qq.com>
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* Update links
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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
---------
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Security improvements
* Security improvements
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* set seed with parameter
Signed-off-by: Yonghye Kwon <developer.0hye@gmail.com>
* make seed to be a large number
* set seed with a parameter
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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Scope gitpyhon import in `check_git_info()`
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* AutoCache
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* AutoCache
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* AutoCache
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* update
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* update
* update
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* Update train.py `import val as validate`
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* Fix anchor incorrectly initialized
Using --noautoanchor and --evolve simultaneously leads to anchor incorrectly initialized. --noautoanchor denotes anchors don't need to evolve, thus removing anchors from hyp will fix it.
* Update train.py
* Update train.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Glenn Jocher
imyhxy
Ultralytics Assistant
Paula Derrenger
Shayan Mousavinia
Aarni Koskela
Troy
Yonghye Kwon
robinned
Dhruv Nair
Ayush Chaurasia
Yana
黄不盈
Victor Sonck