* Allow to manual selection of device for torchhub models

* single line device

nested torch.device(torch.device(device)) ok
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* rename class autoShape -> AutoShape

follow other class naming convention

* rename class autoShape -> AutoShape

follow other classes' naming convention

* rename class autoShape -> AutoShape

* SKU-110K CVPR2019 Dataset Auto-Download

This PR adds the **SKU-110K CVPR2019 Dataset** https://github.com/eg4000/SKU110K_CVPR19 to the list of YOLOv5 🚀  auto-download list.

- [x] [COCO](https://cocodataset.org/#home)
- [x] [COCO128](https://www.kaggle.com/ultralytics/coco128)
- [x] [VOC](http://host.robots.ox.ac.uk/pascal/VOC/)
- [x] [Argoverse-HD](http://www.cs.cmu.edu/~mengtial/proj/streaming/)
- [x] [VisDrone2019-DET](https://github.com/VisDrone/VisDrone-Dataset)
- [x] [GlobalWheat-2020](http://www.global-wheat.com/)
- [ ] [KITTI](https://www.kaggle.com/twaldo/kitti-object-detection)
- [x] [SKU110](https://github.com/eg4000/SKU110K_CVPR19) (grocery store items)
- [ ] [CityScapes](https://www.cityscapes-dataset.com/)
- [x] [Objects365](https://www.objects365.org/overview.html)
- [ ] [OpenImages](https://storage.googleapis.com/openimages/web/index.html)

```yaml
# SKU-110K retail items dataset https://github.com/eg4000/SKU110K_CVPR19
# Train command: python train.py --data SKU-110K.yaml
# Default dataset location is next to YOLOv5:
#   /parent_folder
#     /datasets/SKU-110K
#     /yolov5
```

* Update SKU-110K.yaml

* Update SKU-110K.yaml

* Scope all hubconf.py imports for torch.hub.list()

* Update hubconf.py

* Allow users to skip exporting in formats that they don't care about

* Correct comments

* Update export.py

renamed --skip-format to --exclude

* Switched format from exclude to include (as instructed by @glenn-jocher)

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

* Update Colors()

* update colors

* update colors

Might indirectly help #3095 by providing better visibility on source of corruption.

* detect.py streaming source --save-crop bug fix

Possible fix for #3100.

* () parenthesis

Fix for c++ runtime errors in https://github.com/ultralytics/yolov5/issues/2973

* Add check_python()

Checks python version against minimum version of 3.7.0.

* remove packaging dependency

* refactor import

* Update detect.py

* Update detect.py

* Explicitly convert artifact path to posix_path

* Remove redudant str() casting

Co-authored-by: kepler62f <>

* Add get_coco128.sh

* Update get_coco128.sh
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

Issues with 21.04

* download() ThreadPool update

* update train image count

* cid + 1

* Update yolo.py

* Update export.py

* fix export grid

* Update export.py, remove detect export attribute

* rearrange if order

* remove --grid, default inplace=False

* rename exp_dynamic to onnx_dynamic, comment

* replace bs with 1 in anchor_grid[i] index 0

* Update export.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Add NMS threshold checks

* fix

* Added support for fp16 (half) to export.py

* minimize code additions
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>