 Glenn Jocher
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b53917de8d
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Remove `tqdm.auto` (#7599)
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пре 2 година |
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Glenn Jocher
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f735458987
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Use `tqdm.auto` (#7311)
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пре 2 година |
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Glenn Jocher
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b1300f3e0b
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Add dataset sizes (zipped) (#7293)
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пре 2 година |
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Glenn Jocher
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c3ae4e4af6
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Multi-threaded VisDrone and VOC downloads (#7108)
* Multi-threaded VOC download
* Update VOC.yaml
* Update
* Update general.py
* Update general.py
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пре 2 година |
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Glenn Jocher
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26f0415287
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Add dataset source citations (#6032)
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пре 2 година |
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Glenn Jocher
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24bea5e4b7
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Standardize headers and docstrings (#4417)
* Implement new headers
* Reformat 1
* Reformat 2
* Reformat 3 - math
* Reformat 4 - yaml
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пре 3 година |
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Glenn Jocher
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b60b62e874
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PyCharm reformat (#4209)
* PyCharm reformat
* YAML reformat
* Markdown reformat
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пре 3 година |
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Glenn Jocher
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3fef11706c
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Update comments header (#4184)
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пре 3 година |
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Glenn Jocher
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f8e11483df
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Update dataset headers (#4162)
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пре 3 година |
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Glenn Jocher
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f79d7479da
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Add optional dataset.yaml `path` attribute (#3753)
* Add optional dataset.yaml `path` attribute
@KalenMike
* pass locals to python scripts
* handle lists
* update coco128.yaml
* Capitalize first letter
* add test key
* finalize GlobalWheat2020.yaml
* finalize objects365.yaml
* finalize SKU-110K.yaml
* finalize SKU-110K.yaml
* finalize VisDrone.yaml
* NoneType fix
* update download comment
* voc to VOC
* update
* update VOC.yaml
* update VOC.yaml
* remove dashes
* delete get_voc.sh
* force coco and coco128 to ../datasets
* Capitalize Argoverse_HD.yaml
* Capitalize Objects365.yaml
* update Argoverse_HD.yaml
* coco segments fix
* VOC single-thread
* update Argoverse_HD.yaml
* update data_dict in test handling
* create root
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пре 3 година |
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Glenn Jocher
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17b0f71538
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SKU-110K CVPR2019 Dataset Auto-Download (#3167)
* 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
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пре 3 година |
