PR https://github.com/ultralytics/yolov5/pull/2725 introduced a very specific bug that only affects multi-GPU trainings. Apparently the cause was using the torch.cuda.amp decorator in the autoShape forward method. I've implemented amp more traditionally in this PR, and the bug is resolved.

* Add Hub results.pandas() method

New method converts results from torch tensors to pandas DataFrames with column names.

This PR may partially resolve issue https://github.com/ultralytics/yolov5/issues/2703

```python
results = model(imgs)

print(results.pandas().xyxy[0])
         xmin        ymin        xmax        ymax  confidence  class    name
0   57.068970  391.770599  241.383545  905.797852    0.868964      0  person
1  667.661255  399.303589  810.000000  881.396667    0.851888      0  person
2  222.878387  414.774231  343.804474  857.825073    0.838376      0  person
3    4.205386  234.447678  803.739136  750.023376    0.658006      5     bus
4    0.000000  550.596008   76.681190  878.669922    0.450596      0  person
```

* Update comments 

torch example input now shown resized to size=640 and also now a multiple of P6 stride 64 (see https://github.com/ultralytics/yolov5/issues/2722#issuecomment-814785930)

* apply decorators

* PEP8

* Update common.py

* pd.options.display.max_columns = 10

* Update common.py

Fix 2 for 'Model predict with forward will fail if PIL image does not have filename attribute' #2702

Proposed fix for 'Model predict with forward will fail if PIL image does not have filename attribute' #2702

Fix for results.tolist() method breaking after YOLOv5 Hub profiling PRshttps://github.com/ultralytics/yolov5/pull/2460 https://github.com/ultralytics/yolov5/pull/2459 and

* 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>

* 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>