Hugging Face's logo

Spaces:
xiang-wuu
/
yolov5
Runtime error

App Files Community
glenn-jocher commited on
Commit
3fef117
•
1 Parent(s): 63a1971

Update comments header (#4184)

Browse files
Files changed (12) hide show
  1. data/Argoverse_HD.yaml +2 -2
  2. data/GlobalWheat2020.yaml +2 -2
  3. data/Objects365.yaml +2 -2
  4. data/SKU-110K.yaml +2 -2
  5. data/VOC.yaml +2 -2
  6. data/VisDrone.yaml +2 -2
  7. data/coco.yaml +2 -2
  8. data/coco128.yaml +2 -2
  9. data/scripts/download_weights.sh +2 -2
  10. data/scripts/get_coco.sh +2 -2
  11. data/scripts/get_coco128.sh +2 -2
  12. data/xView.yaml +2 -2
data/Argoverse_HD.yaml CHANGED
@@ -1,6 +1,6 @@
1
- # Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
2
  # Argoverse-HD dataset (ring-front-center camera) http://www.cs.cmu.edu/~mengtial/proj/streaming/
3
- # YOLOv5 🚀 example usage: python train.py --data Argoverse_HD.yaml
4
  # parent
5
  # ├── yolov5
6
  # └── datasets
 
1
+ # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
2
  # Argoverse-HD dataset (ring-front-center camera) http://www.cs.cmu.edu/~mengtial/proj/streaming/
3
+ # Example usage: python train.py --data Argoverse_HD.yaml
4
  # parent
5
  # ├── yolov5
6
  # └── datasets
data/GlobalWheat2020.yaml CHANGED
@@ -1,6 +1,6 @@
1
- # Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
2
  # Global Wheat 2020 dataset http://www.global-wheat.com/
3
- # YOLOv5 🚀 example usage: python train.py --data GlobalWheat2020.yaml
4
  # parent
5
  # ├── yolov5
6
  # └── datasets
 
1
+ # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
2
  # Global Wheat 2020 dataset http://www.global-wheat.com/
3
+ # Example usage: python train.py --data GlobalWheat2020.yaml
4
  # parent
5
  # ├── yolov5
6
  # └── datasets
data/Objects365.yaml CHANGED
@@ -1,6 +1,6 @@
1
- # Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
2
  # Objects365 dataset https://www.objects365.org/
3
- # YOLOv5 🚀 example usage: python train.py --data Objects365.yaml
4
  # parent
5
  # ├── yolov5
6
  # └── datasets
 
1
+ # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
2
  # Objects365 dataset https://www.objects365.org/
3
+ # Example usage: python train.py --data Objects365.yaml
4
  # parent
5
  # ├── yolov5
6
  # └── datasets
data/SKU-110K.yaml CHANGED
@@ -1,6 +1,6 @@
1
- # Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
2
  # SKU-110K retail items dataset https://github.com/eg4000/SKU110K_CVPR19
3
- # YOLOv5 🚀 example usage: python train.py --data SKU-110K.yaml
4
  # parent
5
  # ├── yolov5
6
  # └── datasets
 
1
+ # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
2
  # SKU-110K retail items dataset https://github.com/eg4000/SKU110K_CVPR19
3
+ # Example usage: python train.py --data SKU-110K.yaml
4
  # parent
5
  # ├── yolov5
6
  # └── datasets
data/VOC.yaml CHANGED
@@ -1,6 +1,6 @@
1
- # Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
2
  # PASCAL VOC dataset http://host.robots.ox.ac.uk/pascal/VOC
3
- # YOLOv5 🚀 example usage: python train.py --data VOC.yaml
4
  # parent
5
  # ├── yolov5
6
  # └── datasets
 
1
+ # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
2
  # PASCAL VOC dataset http://host.robots.ox.ac.uk/pascal/VOC
3
+ # Example usage: python train.py --data VOC.yaml
4
  # parent
5
  # ├── yolov5
6
  # └── datasets
data/VisDrone.yaml CHANGED
@@ -1,6 +1,6 @@
1
- # Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
2
  # VisDrone2019-DET dataset https://github.com/VisDrone/VisDrone-Dataset
3
- # YOLOv5 🚀 example usage: python train.py --data VisDrone.yaml
4
  # parent
5
  # ├── yolov5
6
  # └── datasets
 
1
+ # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
2
  # VisDrone2019-DET dataset https://github.com/VisDrone/VisDrone-Dataset
3
+ # Example usage: python train.py --data VisDrone.yaml
4
  # parent
5
  # ├── yolov5
6
  # └── datasets
data/coco.yaml CHANGED
@@ -1,6 +1,6 @@
1
- # Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
2
  # COCO 2017 dataset http://cocodataset.org
3
- # YOLOv5 🚀 example usage: python train.py --data coco.yaml
4
  # parent
5
  # ├── yolov5
6
  # └── datasets
 
1
+ # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
2
  # COCO 2017 dataset http://cocodataset.org
3
+ # Example usage: python train.py --data coco.yaml
4
  # parent
5
  # ├── yolov5
6
  # └── datasets
data/coco128.yaml CHANGED
@@ -1,6 +1,6 @@
1
- # Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
2
  # COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017)
3
- # YOLOv5 🚀 example usage: python train.py --data coco128.yaml
4
  # parent
5
  # ├── yolov5
6
  # └── datasets
 
1
+ # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
2
  # COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017)
3
+ # Example usage: python train.py --data coco128.yaml
4
  # parent
5
  # ├── yolov5
6
  # └── datasets
data/scripts/download_weights.sh CHANGED
@@ -1,7 +1,7 @@
1
  #!/bin/bash
2
- # Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
3
  # Download latest models from https://github.com/ultralytics/yolov5/releases
4
- # YOLOv5 🚀 example usage: bash path/to/download_weights.sh
5
  # parent
6
  # └── yolov5
7
  # ├── yolov5s.pt ← downloads here
 
1
  #!/bin/bash
2
+ # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
3
  # Download latest models from https://github.com/ultralytics/yolov5/releases
4
+ # Example usage: bash path/to/download_weights.sh
5
  # parent
6
  # └── yolov5
7
  # ├── yolov5s.pt ← downloads here
data/scripts/get_coco.sh CHANGED
@@ -1,7 +1,7 @@
1
  #!/bin/bash
2
- # Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
3
  # Download COCO 2017 dataset http://cocodataset.org
4
- # YOLOv5 🚀 example usage: bash data/scripts/get_coco.sh
5
  # parent
6
  # ├── yolov5
7
  # └── datasets
 
1
  #!/bin/bash
2
+ # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
3
  # Download COCO 2017 dataset http://cocodataset.org
4
+ # Example usage: bash data/scripts/get_coco.sh
5
  # parent
6
  # ├── yolov5
7
  # └── datasets
data/scripts/get_coco128.sh CHANGED
@@ -1,7 +1,7 @@
1
  #!/bin/bash
2
- # Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
3
  # Download COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017)
4
- # YOLOv5 🚀 example usage: bash data/scripts/get_coco128.sh
5
  # parent
6
  # ├── yolov5
7
  # └── datasets
 
1
  #!/bin/bash
2
+ # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
3
  # Download COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017)
4
+ # Example usage: bash data/scripts/get_coco128.sh
5
  # parent
6
  # ├── yolov5
7
  # └── datasets
data/xView.yaml CHANGED
@@ -1,7 +1,7 @@
1
- # Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
2
  # xView 2018 dataset https://challenge.xviewdataset.org
3
  # -------- DOWNLOAD DATA MANUALLY from URL above and unzip to 'datasets/xView' before running train command! --------
4
- # YOLOv5 🚀 example usage: python train.py --data xView.yaml
5
  # parent
6
  # ├── yolov5
7
  # └── datasets
 
1
+ # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
2
  # xView 2018 dataset https://challenge.xviewdataset.org
3
  # -------- DOWNLOAD DATA MANUALLY from URL above and unzip to 'datasets/xView' before running train command! --------
4
+ # Example usage: python train.py --data xView.yaml
5
  # parent
6
  # ├── yolov5
7
  # └── datasets