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VisDrone2019-DET Dataset Auto-Download #2882

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merged 5 commits into from
Apr 22, 2021
Merged

VisDrone2019-DET Dataset Auto-Download #2882

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0a418cb
VisDrone Dataset Auto-Download
glenn-jocher Apr 21, 2021
50abc1f
add visdrone.yaml
glenn-jocher Apr 21, 2021
b5eb919
cleanup
glenn-jocher Apr 21, 2021
ad8c908
add VisDrone2019-DET-test-dev
glenn-jocher Apr 21, 2021
d230184
cleanup VOC
glenn-jocher Apr 22, 2021
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add VisDrone2019-DET-test-dev
  • Loading branch information
@glenn-jocher
glenn-jocher committed Apr 21, 2021
commit ad8c90810d8bd4e84d7f30c5504844b58014f0d2
10 changes: 6 additions & 4 deletions data/visdrone.yaml
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Expand Up @@ -9,7 +9,7 @@
# train and val data as 1) directory: path/images/, 2) file: path/images.txt, or 3) list: [path1/images/, path2/images/]
train: ../VisDrone/VisDrone2019-DET-train/images # 6471 images
val: ../VisDrone/VisDrone2019-DET-val/images # 548 images
# test: ../VisDrone/VisDrone2019-DET-test-dev/images # 1610 images
test: ../VisDrone/VisDrone2019-DET-test-dev/images # 1610 images

# number of classes
nc: 10
Expand Down Expand Up @@ -43,7 +43,7 @@ download: |
lines = []
with open(f, 'r') as file: # read annotation.txt
for row in [x.split(',') for x in file.read().strip().splitlines()]:
if row[4] == '0': # TODO explain this line
if row[4] == '0': # VisDrone 'ignored regions' class 0
continue
cls = int(row[5]) - 1
box = convert_box(img_size, tuple(map(int, row[:4])))
Expand All @@ -55,9 +55,11 @@ download: |
# Download
dir = Path('../VisDrone') # dataset directory
urls = ['https://github.com/ultralytics/yolov5/releases/download/v1.0/VisDrone2019-DET-train.zip',
'https://github.com/ultralytics/yolov5/releases/download/v1.0/VisDrone2019-DET-val.zip']
'https://github.com/ultralytics/yolov5/releases/download/v1.0/VisDrone2019-DET-val.zip',
'https://github.com/ultralytics/yolov5/releases/download/v1.0/VisDrone2019-DET-test-dev.zip'
'https://github.com/ultralytics/yolov5/releases/download/v1.0/VisDrone2019-DET-test-challenge.zip']
download(urls, dir=dir)

# Convert
for d in 'VisDrone2019-DET-train', 'VisDrone2019-DET-val':
for d in 'VisDrone2019-DET-train', 'VisDrone2019-DET-val', 'VisDrone2019-DET-test-dev':
visdrone2yolo(dir / d) # convert VisDrone annotations to YOLO labels