Add pre-commit CI actions (#4982)

* define pre-commit

* add CI code

* configure

* apply pre-commit

* fstring

* apply MD

* pre-commit

* Update torch_utils.py

* Update print strings

* notes

* Cleanup code-format.yml

* Update setup.cfg

* Update .pre-commit-config.yaml

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

data/Objects365.yaml

@@ -62,21 +62,21 @@ names: ['Person', 'Sneakers', 'Chair', 'Other Shoes', 'Hat', 'Car', 'Lamp', 'Gla
 download: |
   from pycocotools.coco import COCO
   from tqdm import tqdm
-  
+
   from utils.general import Path, download, np, xyxy2xywhn
-  
+
   # Make Directories
   dir = Path(yaml['path'])  # dataset root dir
   for p in 'images', 'labels':
       (dir / p).mkdir(parents=True, exist_ok=True)
       for q in 'train', 'val':
           (dir / p / q).mkdir(parents=True, exist_ok=True)
-  
+
   # Train, Val Splits
   for split, patches in [('train', 50 + 1), ('val', 43 + 1)]:
       print(f"Processing {split} in {patches} patches ...")
       images, labels = dir / 'images' / split, dir / 'labels' / split
-  
+
       # Download
       url = f"https://dorc.ks3-cn-beijing.ksyun.com/data-set/2020Objects365%E6%95%B0%E6%8D%AE%E9%9B%86/{split}/"
       if split == 'train':
@@ -86,11 +86,11 @@ download: |
           download([f'{url}zhiyuan_objv2_{split}.json'], dir=dir, delete=False)  # annotations json
           download([f'{url}images/v1/patch{i}.tar.gz' for i in range(15 + 1)], dir=images, curl=True, delete=False, threads=8)
           download([f'{url}images/v2/patch{i}.tar.gz' for i in range(16, patches)], dir=images, curl=True, delete=False, threads=8)
-  
+
       # Move
       for f in tqdm(images.rglob('*.jpg'), desc=f'Moving {split} images'):
           f.rename(images / f.name)  # move to /images/{split}
-  
+
       # Labels
       coco = COCO(dir / f'zhiyuan_objv2_{split}.json')
       names = [x["name"] for x in coco.loadCats(coco.getCatIds())]