* 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

* Update inference default to multi_label=False

* bug fix

* Update plots.py

* Update plots.py

* Add --speed benchmark

* test range 256 - 1536

* update

* update

* update

* update

* Metric-Confidence plots feature addition

* cleanup

* Metric-Confidence plots feature addition

* cleanup

* Update run-once lines

* cleanup

* save all 4 curves to wandb

Make sure the labels and predictions are equally scaled on confusion_matrix.process_batch

* W&B ImportError message fix

* colorstr() updates

* colorstr() updates

* colorstr() default to 'blue', 'bold'

* train: magenta

* train: blue

* Add check_requirements()

* add import

* parameterize filename

* add to detect, test

* Pycocotools best.pt after COCO train

* cleanup

* Daemon thread plotting

* remove process_batch

* plot after print

* initial commit

* add plotting

* matrix to cpu

* bug fix

* update plot

* update plot

* update plot

* update plot

* update plot

* update plot

* update plot

* update plot

* update plot

* update plot

* update plot

* update plot

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* seaborn pandas to requirements.txt

* seaborn pandas to requirements.txt

* update wandb plotting

* remove pandas

* if plots

* if plots

* if plots

* if plots

* if plots

* initial commit

* add plotting

* matrix to cpu

* bug fix

* update plot

* update plot

* update plot

* update plot

* update plot

* update plot

* update plot

* update plot

* update plot

* update plot

* update plot

* update plot

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* seaborn pandas to requirements.txt

* seaborn pandas to requirements.txt

* update wandb plotting

* remove pandas

* if plots

* if plots

* if plots

* if plots

* if plots

* Cat apriori to autolabels

* cleanup

* Sync train and test iou_thresh

* Sync train and test iou_thresh

* weights names .lower()

* Notebook update

* Update test.py for IoU in native image-space

* remove redundant

* gn to device

* remove output scale_coords

* --img-size correction

* update

* native-space labels

* pred to predn

* remove clip_coords()

* Update PR curve

* legend outside

* list(Path().glob())

* PyTorch Hub and autoShape update

* comment x for imgs

* reduce comment

* W&B logging add hyperparameters

* hyp bug fix and image logging updates

* if plots and wandb:

* cleanup

* wandb/ gitignore add

* cleanup 2

* cleanup 3

* move wandb import to top of file

* wandb evolve

* update import

* wandb.run.finish()

* default anchors: 3

* Utils reorganization

* Add new utils files

* cleanup

* simplify

* reduce datasets.py

* remove evolve.sh

* loadWebcam cleanup

* Project/name update

* Update ci-testing.yml

* address project with path separator failure mode

* Project/name update

* address project with path separator failure mode

* Update ci-testing.yml

* detect.py default --name bug fix

* missing rstrip PR

* train/exp0 to train/exp

* update Write results

* Update detect.py

* Update test.py

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Replace 'ground truth' with 'labels'

* Using torch... update

* Use pathlib instead of low-level module

* Use pathlib instead of low-level module

* Update detect.py

* Update test.py

* reformat

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Create flatten_recursive() helper function

* cleanup

* print torch version

* Increment train, test, detect runs/

* Update ci-testing.yml

* inference/images to data/images

* move images

* runs/exp to runs/train/exp

* update 'results saved to %s' str

* W&B feature improvements

This PR add:
* Class to id labels. Now, the caption of bounding boxes will display the class name and the class confidence score.
* The project name is set to "Yolov5" and the run name will be set to opt.logdir

* cleanup

* remove parenthesis on caption

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Add wandb metric logging and bounding box debugging

* Improve formatting, readability

* Remove mutliple path for init, improve formatting

* Add wandb params

* Remove typecasting in bbox coordinates and reformat

* Cleanup

* add wandb to requirements.txt

* minor updates to test.py

* general reorg

* reduce --log-imgs to 10

* clean wandb import

* reverse wandb import assert

* add except AssertionError to try import

* move wandb init to all global ranks

* replace print() with logger.info()

* replace print() with logger.info()

* move wandb.init() bug fix

* project PosixPath to basename bug fix

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Move generated *.json annotations into runs/test

* list and string robust

* Adding --output and --save-conf options to test.py

* Update help fields

* Update test.py

* Make arguments and comments uniform with test.py

* Remove previous and print save_dir on finish

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* initial commit

* Update general.py

Indent update

* Update general.py

refactor duplicate code

* 200 dpi

* initial commit

* remove yolov3-spp from test.py study

* update study --img range

* update mAP

* cleanup and speed updates

* update README plot