- 23 3月, 2021 1 次提交
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由 Ayush Chaurasia 提交于
* Init Commit * new wandb integration * Update * Use data_dict in test * Updates * Update: scope of log_img * Update: scope of log_img * Update * Update: Fix logging conditions * Add tqdm bar, support for .txt dataset format * Improve Result table Logger * Init Commit * new wandb integration * Update * Use data_dict in test * Updates * Update: scope of log_img * Update: scope of log_img * Update * Update: Fix logging conditions * Add tqdm bar, support for .txt dataset format * Improve Result table Logger * Add dataset creation in training script * Change scope: self.wandb_run * Add wandb-artifact:// natively you can now use --resume with wandb run links * Add suuport for logging dataset while training * Cleanup * Fix: Merge conflict * Fix: CI tests * Automatically use wandb config * Fix: Resume * Fix: CI * Enhance: Using val_table * More resume enhancement * FIX : CI * Add alias * Get useful opt config data * train.py cleanup * Cleanup train.py * more cleanup * Cleanup| CI fix * Reformat using PEP8 * FIX:CI * rebase * remove uneccesary changes * remove uneccesary changes * remove uneccesary changes * remove unecessary chage from test.py * FIX: resume from local checkpoint * FIX:resume * FIX:resume * Reformat * Performance improvement * Fix local resume * Fix local resume * FIX:CI * Fix: CI * Imporve image logging * (:(:Redo CI tests:):) * Remember epochs when resuming * Remember epochs when resuming * Update DDP location Potential fix for #2405 * PEP8 reformat * 0.25 confidence threshold * reset train.py plots syntax to previous * reset epochs completed syntax to previous * reset space to previous * remove brackets * reset comment to previous * Update: is_coco check, remove unused code * Remove redundant print statement * Remove wandb imports * remove dsviz logger from test.py * Remove redundant change from test.py * remove redundant changes from train.py * reformat and improvements * Fix typo * Add tqdm tqdm progress when scanning files, naming improvements Co-authored-by:
Glenn Jocher <glenn.jocher@ultralytics.com>
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- 15 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
* PyTorch Hub models default to CUDA:0 if available * device as string bug fix
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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:
Glenn Jocher <glenn.jocher@ultralytics.com>
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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:
Glenn Jocher <glenn.jocher@ultralytics.com>
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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:
Glenn Jocher <glenn.jocher@ultralytics.com>
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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:
Glenn Jocher <glenn.jocher@ultralytics.com> * Update train.py test batch_size (#2148) * Update train.py * Update loss.py * Update train.py (#2149) * Linear LR scheduler option (#2150) * Linear LR scheduler option * Update train.py * Update data-autodownload background tasks (#2154) * Update get_coco.sh * Update get_voc.sh * Update detect.py (#2167) Without this cv2.imshow opens a window but nothing is visible * Update requirements.txt (#2173) * Update utils/datasets.py to support .webp files (#2174) Simply added 'webp' as an image format to the img_formats array so that webp image files can be used as training data. * Changed socket port and added timeout (#2176) * PyTorch Hub results.save('path/to/dir') (#2179) * YOLOv5 Segmentation Dataloader Updates (#2188) * Update C3 module * Update C3 module * Update C3 module * Update C3 module * update * update * update * update * update * update * update * update * update * updates * updates * updates * updates * updates * updates * updates * updates * updates * updates * update * update * update * update * updates * updates * updates * updates * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update datasets * update * update * update * update attempt_downlaod() * merge * merge * update * update * update * update * update * update * update * update * update * update * parameterize eps * comments * gs-multiple * update * max_nms implemented * Create one_cycle() function * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * GitHub API rate limit fix * update * ComputeLoss * ComputeLoss * ComputeLoss * ComputeLoss * ComputeLoss * ComputeLoss * ComputeLoss * ComputeLoss * ComputeLoss * ComputeLoss * ComputeLoss * astuple * epochs * update * update * ComputeLoss() * update * update * update * update * update * update * update * update * update * update * update * merge * merge * merge * merge * update * update * update * update * commit=tag == tags[-1] * Update cudnn.benchmark * update * update * update * updates * updates * updates * updates * updates * updates * updates * update * update * update * update * update * mosaic9 * update * update * update * update * update * update * institute cache versioning * only display on existing cache * reverse cache exists booleans * Created using Colaboratory * YOLOv5 PyTorch Hub results.save() method retains filenames (#2194) * save results with name * debug * save original imgs names * Update common.py Co-authored-by:
Glenn Jocher <glenn.jocher@ultralytics.com> * TTA augument boxes one pixel shifted in de-flip ud and lr (#2219) * TTA augument boxes one pixel shifted in de-flip ud and lr * PEP8 reformat Co-authored-by:
Jaap van de Loosdrecht <jaap.van.de.loosdrecht@nhlstenden.com> Co-authored-by:
Glenn Jocher <glenn.jocher@ultralytics.com> * LoadStreams() frame loss bug fix (#2222) * Update yolo.py channel array (#2223) * Add check_imshow() (#2231) * Add check_imshow() * Update general.py * Update general.py * Update CI badge (#2230) * Add isdocker() (#2232) * Add isdocker() * Update general.py * Update general.py * YOLOv5 Hub URL inference bug fix (#2250) * Update common.py * Update common.py * Update common.py * Improved hubconf.py CI tests (#2251) * Unified hub and detect.py box and labels plotting (#2243) * reset head * Update inference default to multi_label=False (#2252) * Update inference default to multi_label=False * bug fix * Update plots.py * Update plots.py * Robust objectness loss balancing (#2256) * Created using Colaboratory * Update minimum stride to 32 (#2266) * Dynamic ONNX engine generation (#2208) * add: dynamic onnx export * delete: test onnx inference * fix dynamic output axis * Code reduction * fix: dynamic output axes, dynamic input naming * Remove fixed axes Co-authored-by:
Shivam Swanrkar <ss8464@nyu.edu> Co-authored-by:
Glenn Jocher <glenn.jocher@ultralytics.com> * Update greetings.yml for auto-rebase on PR (#2272) * Update Dockerfile with apt install zip (#2274) * FLOPS min stride 32 (#2276) Signed-off-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:
Jan Hajek <jan.hajek@gmail.com> Co-authored-by:
Glenn Jocher <glenn.jocher@ultralytics.com> * Avoid mutable state in Detect * Update yolo and remove .to(device) Co-authored-by:
Oleg Boiko <oboiko@chegg.com> Co-authored-by:
Glenn Jocher <glenn.jocher@ultralytics.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:
Jaap van de Loosdrecht <jaap.van.de.loosdrecht@nhlstenden.com> Co-authored-by:
Yann Defretin <kinoute@gmail.com> Co-authored-by:
Aditya Lohia <64709773+aditya-dl@users.noreply.github.com> Co-authored-by:
Shivam Swanrkar <ss8464@nyu.edu> Co-authored-by:
xiaowo1996 <429740343@qq.com> Co-authored-by:
Iden Craven <iden.craven@gmail.com> Co-authored-by:
Jan Hajek <toretak@users.noreply.github.com> Co-authored-by:
Jan Hajek <jan.hajek@gmail.com>
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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:
Jan Hajek <jan.hajek@gmail.com> Co-authored-by:
Glenn Jocher <glenn.jocher@ultralytics.com>
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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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