- 15 3月, 2021 1 次提交
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由 Yann Defretin 提交于
* Be able to create dataset from annotated images only Add the ability to create a dataset/splits only with images that have an annotation file, i.e a .txt file, associated to it. As we talked about this, the absence of a txt file could mean two things: * either the image wasn't yet labelled by someone, * either there is no object to detect. When it's easy to create small datasets, when you have to create datasets with thousands of images (and more coming), it's hard to track where you at and you don't want to wait to have all of them annotated before starting to train. Which means some images would lack txt files and annotations, resulting in label inconsistency as you say in #2313. By adding the annotated_only argument to the function, people could create, if they want to, datasets/splits only with images that were labelled, for sure. * Cleanup and update print() Co-authored-by:Glenn Jocher <glenn.jocher@ultralytics.com>
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- 14 3月, 2021 4 次提交
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由 Glenn Jocher 提交于
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由 Glenn Jocher 提交于
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由 Glenn Jocher 提交于
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由 Glenn Jocher 提交于
* Add autoShape() speed profiling * Update common.py * Create README.md * Update hubconf.py * cleanuip
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- 13 3月, 2021 4 次提交
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由 Glenn Jocher 提交于
curl preferred over wget for slightly better cross platform compatibility (i.e. out of the box macos compatible).
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由 Glenn Jocher 提交于
* labels.png class names * fontsize=10
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由 Glenn Jocher 提交于
* Update test.py --task train val study * update argparser --task
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由 Glenn Jocher 提交于
* Integer printout * test.py 'Labels' * Update train.py
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- 10 3月, 2021 3 次提交
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由 Glenn Jocher 提交于
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由 Glenn Jocher 提交于
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由 Kartikeya Sharma 提交于
* added argoverse-download ability * bugfix * add support for Argoverse dataset * Refactored code * renamed to argoverse-HD * unzip -q and YOLOv5 small cleanup items * add image counts Co-authored-by:
Kartikeya Sharma <kartikes@trinity.vision.cs.cmu.edu> Co-authored-by:
Kartikeya Sharma <kartikes@trinity-0-32.eth> Co-authored-by:
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- 08 3月, 2021 2 次提交
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由 Glenn Jocher 提交于
* GCP sudo docker * cleanup
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由 Glenn Jocher 提交于
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- 07 3月, 2021 2 次提交
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由 Glenn Jocher 提交于
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由 Jan Hajek 提交于
* option for skip last layer and cuda export support * added parameter device * fix import * cleanup 1 * cleanup 2 * opt-in grid --grid will export with grid computation, default export will skip grid (same as current) * default --device cpu GPU export causes ONNX and CoreML errors. Co-authored-by:
Jan Hajek <jan.hajek@gmail.com> Co-authored-by:
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- 06 3月, 2021 4 次提交
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由 Yonghye Kwon 提交于
image weights compatible faster random index generator v2 for mosaic augmentation
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由 Glenn Jocher 提交于
Set HOME environment variable per Binder requirements. https://github.com/binder-examples/minimal-dockerfile
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由 Glenn Jocher 提交于
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由 Yonghye Kwon 提交于
* faster random index generator for mosaic augementation We don't need to access list to generate random index It makes augmentation slower. * Update datasets.py Co-authored-by:
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- 04 3月, 2021 1 次提交
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由 Glenn Jocher 提交于
* Resume with custom anchors fix * Update train.py
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- 03 3月, 2021 4 次提交
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由 Glenn Jocher 提交于
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由 Glenn Jocher 提交于
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由 Ryan Avery 提交于
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由 Glenn Jocher 提交于
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- 02 3月, 2021 1 次提交
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由 Glenn Jocher 提交于
* EMA bug fix 2 * update
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- 01 3月, 2021 1 次提交
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由 Glenn Jocher 提交于
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- 28 2月, 2021 3 次提交
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由 Glenn Jocher 提交于
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由 Glenn Jocher 提交于
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由 Glenn Jocher 提交于
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- 27 2月, 2021 1 次提交
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由 oleg 提交于
* Avoid mutable state in Detect * LoadImages() pathlib update (#2140) * Unique *.cache filenames fix (#2134) * fix #2121 * Update test.py * Update train.py * Update autoanchor.py * Update datasets.py * Update log_dataset.py * Update datasets.py Co-authored-by:
Jaap van de Loosdrecht <jaap.van.de.loosdrecht@nhlstenden.com> Co-authored-by:
Shivam Swanrkar <ss8464@nyu.edu> Co-authored-by:
xiaowo1996 <429740343@qq.com> * Update README.md * Amazon AWS EC2 startup and re-startup scripts (#2185) * Amazon AWS EC2 startup and re-startup scripts * Create resume.py * cleanup * Amazon AWS EC2 startup and re-startup scripts (#2282) * Update train.py (#2290) * Update train.py * Update train.py * Update train.py * Update train.py * Create train.py * Improved model+EMA checkpointing (#2292) * Enhanced model+EMA checkpointing * update * bug fix * bug fix 2 * always save optimizer * ema half * remove model.float() * model half * carry ema/model in fp32 * rm model.float() * both to float always * cleanup * cleanup * Improved model+EMA checkpointing 2 (#2295) * Fix labels being missed when image extension appears twice in filename (#2300) * W&B entity support (#2298) * W&B entity support * shorten wandb_entity to entity Co-authored-by:
Oleg Boiko <oboiko@chegg.com> Co-authored-by:
train255 <thanhdd.it@gmail.com> Co-authored-by:
ab-101 <56578530+ab-101@users.noreply.github.com> Co-authored-by:
Transigent <wbdsmith@optusnet.com.au> Co-authored-by:
NanoCode012 <kevinvong@rocketmail.com> Co-authored-by:
Daniel Khromov <danielkhromov@gmail.com> Co-authored-by:
VdLMV <jaap@vdlmv.nl> Co-authored-by:
Yann Defretin <kinoute@gmail.com> Co-authored-by:
Aditya Lohia <64709773+aditya-dl@users.noreply.github.com> Co-authored-by:
Iden Craven <iden.craven@gmail.com> Co-authored-by:
Jan Hajek <toretak@users.noreply.github.com> Co-authored-by:
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- 26 2月, 2021 2 次提交
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由 Jan Hajek 提交于
* W&B entity support * shorten wandb_entity to entity Co-authored-by:
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由 Iden Craven 提交于
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- 25 2月, 2021 3 次提交
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由 Glenn Jocher 提交于
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由 Glenn Jocher 提交于
* Enhanced model+EMA checkpointing * update * bug fix * bug fix 2 * always save optimizer * ema half * remove model.float() * model half * carry ema/model in fp32 * rm model.float() * both to float always * cleanup * cleanup
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由 Glenn Jocher 提交于
* Update train.py * Update train.py * Update train.py * Update train.py * Create train.py
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- 24 2月, 2021 4 次提交
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由 Glenn Jocher 提交于
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由 Glenn Jocher 提交于
* Amazon AWS EC2 startup and re-startup scripts * Create resume.py * cleanup
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由 Glenn Jocher 提交于
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由 xiaowo1996 提交于
Signed-off-by:
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