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Update comments header (#4184)

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Glenn Jocher 2021-07-27 23:23:41 +02:00 committed by GitHub
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12 changed files with 24 additions and 24 deletions
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data/Argoverse_HD.yaml
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# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0 # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
# Argoverse-HD dataset (ring-front-center camera) http://www.cs.cmu.edu/~mengtial/proj/streaming/ # Argoverse-HD dataset (ring-front-center camera) http://www.cs.cmu.edu/~mengtial/proj/streaming/
# YOLOv5 🚀 example usage: python train.py --data Argoverse_HD.yaml # Example usage: python train.py --data Argoverse_HD.yaml
# parent # parent
# ├── yolov5 # ├── yolov5
# └── datasets # └── datasets

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data/GlobalWheat2020.yaml
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# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0 # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
# Global Wheat 2020 dataset http://www.global-wheat.com/ # Global Wheat 2020 dataset http://www.global-wheat.com/
# YOLOv5 🚀 example usage: python train.py --data GlobalWheat2020.yaml # Example usage: python train.py --data GlobalWheat2020.yaml
# parent # parent
# ├── yolov5 # ├── yolov5
# └── datasets # └── datasets

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data/Objects365.yaml
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# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0 # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
# Objects365 dataset https://www.objects365.org/ # Objects365 dataset https://www.objects365.org/
# YOLOv5 🚀 example usage: python train.py --data Objects365.yaml # Example usage: python train.py --data Objects365.yaml
# parent # parent
# ├── yolov5 # ├── yolov5
# └── datasets # └── datasets

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data/SKU-110K.yaml
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# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0 # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
# SKU-110K retail items dataset https://github.com/eg4000/SKU110K_CVPR19 # SKU-110K retail items dataset https://github.com/eg4000/SKU110K_CVPR19
# YOLOv5 🚀 example usage: python train.py --data SKU-110K.yaml # Example usage: python train.py --data SKU-110K.yaml
# parent # parent
# ├── yolov5 # ├── yolov5
# └── datasets # └── datasets

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data/VOC.yaml
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# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0 # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
# PASCAL VOC dataset http://host.robots.ox.ac.uk/pascal/VOC # PASCAL VOC dataset http://host.robots.ox.ac.uk/pascal/VOC
# YOLOv5 🚀 example usage: python train.py --data VOC.yaml # Example usage: python train.py --data VOC.yaml
# parent # parent
# ├── yolov5 # ├── yolov5
# └── datasets # └── datasets

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data/VisDrone.yaml
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# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0 # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
# VisDrone2019-DET dataset https://github.com/VisDrone/VisDrone-Dataset # VisDrone2019-DET dataset https://github.com/VisDrone/VisDrone-Dataset
# YOLOv5 🚀 example usage: python train.py --data VisDrone.yaml # Example usage: python train.py --data VisDrone.yaml
# parent # parent
# ├── yolov5 # ├── yolov5
# └── datasets # └── datasets

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data/coco.yaml
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# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0 # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
# COCO 2017 dataset http://cocodataset.org # COCO 2017 dataset http://cocodataset.org
# YOLOv5 🚀 example usage: python train.py --data coco.yaml # Example usage: python train.py --data coco.yaml
# parent # parent
# ├── yolov5 # ├── yolov5
# └── datasets # └── datasets

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data/coco128.yaml
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# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0 # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
# COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017) # COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017)
# YOLOv5 🚀 example usage: python train.py --data coco128.yaml # Example usage: python train.py --data coco128.yaml
# parent # parent
# ├── yolov5 # ├── yolov5
# └── datasets # └── datasets

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data/scripts/download_weights.sh
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#!/bin/bash #!/bin/bash
# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0 # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
# Download latest models from https://github.com/ultralytics/yolov5/releases # Download latest models from https://github.com/ultralytics/yolov5/releases
# YOLOv5 🚀 example usage: bash path/to/download_weights.sh # Example usage: bash path/to/download_weights.sh
# parent # parent
# └── yolov5 # └── yolov5
# ├── yolov5s.pt ← downloads here # ├── yolov5s.pt ← downloads here

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data/scripts/get_coco.sh
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#!/bin/bash #!/bin/bash
# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0 # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
# Download COCO 2017 dataset http://cocodataset.org # Download COCO 2017 dataset http://cocodataset.org
# YOLOv5 🚀 example usage: bash data/scripts/get_coco.sh # Example usage: bash data/scripts/get_coco.sh
# parent # parent
# ├── yolov5 # ├── yolov5
# └── datasets # └── datasets

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data/scripts/get_coco128.sh
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#!/bin/bash #!/bin/bash
# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0 # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
# Download COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017) # Download COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017)
# YOLOv5 🚀 example usage: bash data/scripts/get_coco128.sh # Example usage: bash data/scripts/get_coco128.sh
# parent # parent
# ├── yolov5 # ├── yolov5
# └── datasets # └── datasets

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data/xView.yaml
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# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0 # YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
# xView 2018 dataset https://challenge.xviewdataset.org # xView 2018 dataset https://challenge.xviewdataset.org
# -------- DOWNLOAD DATA MANUALLY from URL above and unzip to 'datasets/xView' before running train command! -------- # -------- DOWNLOAD DATA MANUALLY from URL above and unzip to 'datasets/xView' before running train command! --------
# YOLOv5 🚀 example usage: python train.py --data xView.yaml # Example usage: python train.py --data xView.yaml
# parent # parent
# ├── yolov5 # ├── yolov5
# └── datasets # └── datasets