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Add random interpolation method augmentation #6826

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merged 12 commits into from
May 13, 2022
Merged

Add random interpolation method augmentation #6826

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21a7436
add random_interpolation option to make model robust to interpolation…
developer0hye Mar 2, 2022
2b601d2
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Mar 2, 2022
cc57635
Fix precommit error
glenn-jocher Mar 4, 2022
261c58c
Update augmentations.py
glenn-jocher Mar 4, 2022
82a5441
Update augmentations.py
glenn-jocher Mar 4, 2022
d2d53bd
Merge branch 'master' into patch-11
glenn-jocher Mar 4, 2022
0f0fdbb
Merge branch 'master' into patch-11
glenn-jocher Mar 17, 2022
090545f
Update augmentations.py
glenn-jocher Mar 17, 2022
0413bbd
Update datasets.py
glenn-jocher Mar 17, 2022
2f27296
Merge branch 'master' into patch-11
glenn-jocher Apr 1, 2022
066563d
Update datasets.py
glenn-jocher May 13, 2022
fe6c52d
Merge branch 'master' into patch-11
glenn-jocher May 13, 2022
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5 changes: 3 additions & 2 deletions utils/datasets.py
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Original file line number Diff line number Diff line change
Expand Up @@ -397,6 +397,7 @@ def img2label_paths(img_paths):
class LoadImagesAndLabels(Dataset):
# YOLOv5 train_loader/val_loader, loads images and labels for training and validation
cache_version = 0.6 # dataset labels *.cache version
rand_interp_methods = [cv2.INTER_NEAREST, cv2.INTER_LINEAR, cv2.INTER_CUBIC, cv2.INTER_AREA, cv2.INTER_LANCZOS4]

def __init__(self,
path,
Expand Down Expand Up @@ -665,8 +666,8 @@ def load_image(self, i):
h0, w0 = im.shape[:2] # orig hw
r = self.img_size / max(h0, w0) # ratio
if r != 1: # if sizes are not equal
im = cv2.resize(im, (int(w0 * r), int(h0 * r)),
interpolation=cv2.INTER_LINEAR if (self.augment or r > 1) else cv2.INTER_AREA)
interp = cv2.INTER_LINEAR if self.augment else cv2.INTER_AREA # random.choice(self.rand_interp_methods)
im = cv2.resize(im, (int(w0 * r), int(h0 * r)), interpolation=interp)
return im, (h0, w0), im.shape[:2] # im, hw_original, hw_resized
else:
return self.ims[i], self.im_hw0[i], self.im_hw[i] # im, hw_original, hw_resized
Expand Down