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Update carla.yaml

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freeneuro 2022-01-05 22:51:27 +08:00 committed by GitHub
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src/data/carla.yaml
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@ -1,15 +1,13 @@
# COCO 2017 dataset http://cocodataset.org - first 128 training images # Default dataset location is next to YOLOv3:
# Train command: python train.py --data coco128.yaml # data/phy_attack
# Default dataset location is next to YOLOv5: # /train_new
# /parent # /train_new
# /datasets/coco128
# /yolov5
# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..] # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
path: F:/PythonPro/DualAttentionAttack/data/phy_attack # dataset root dir path: data/phy_attack # dataset root dir
train: train_new # train_new train_label_new train: train_new # train image (note that: image rather than npz, but you should modify line between 123-129 and 414-417 in the datasets_fca.py)
val: train_new # val images (relative to 'path') 128 images val: train_new #
test: # test images (optional) test: # test images (optional)
# Classes # Classes
@ -24,3 +22,4 @@ names: [ 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', '
'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear',
'hair drier', 'toothbrush' ] # class names 'hair drier', 'toothbrush' ] # class names