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Albumentations 1.4.21 Release Notes

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@ternaus ternaus released this 01 Nov 00:15
· 21 commits to main since this release
1.4.21
91a0531
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Learn about vigilant mode.
  • Support Our Work
  • Transforms
  • Core
  • Benchmark
  • Speedups

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Transforms

Auto padding in crops

Added option to pad the image if crop size is larger than the crop size

Old way

[
A.PadIfNeeded(min_height=1024, min_width=1024, p=1),
A.RandomCrop(height=1204, width=1024, p=1)
]

New way:

A.RandomCrop(height=1204, width=1024, p=1, pad_if_needed=True)

Works for:

You may also use it to pad image to a desired size.

Core

Random state

Now random state for the pipeline does not depend on the global random state

Before

random.seed(seed)
np.random.seed(seed)

transform = A.Compose(...)

Now

transform = A.Compose(seed=seed, ...)

or

transform = A.Compose(...)
transform.set_random_seed(seed)

Saving used parameters

Now you can get exact parameters that were used in the pipeline on a given sample with

transform = A.Compose(save_applied_params=True, ...)

result = transform(image=image, bboxes=bboxes, mask=mask, keypoints=keypoints)

print(result["applied_transforms"])

Benchmark

Moved benchmark to a separate repo

https://github.com/albumentations-team/benchmark/

Current result for uint8 images:

Transform albumentations
1.4.20		 augly
1.0.0		 imgaug
0.4.0		 kornia
0.7.3		 torchvision
0.20.0
HorizontalFlip 8325 ± 955 4807 ± 818 6042 ± 788 390 ± 106 914 ± 67
VerticalFlip 20493 ± 1134 9153 ± 1291 10931 ± 1844 1212 ± 402 3198 ± 200
Rotate 1272 ± 12 1119 ± 41 1136 ± 218 143 ± 11 181 ± 11
Affine 967 ± 3 - 774 ± 97 147 ± 9 130 ± 12
Equalize 961 ± 4 - 581 ± 54 152 ± 19 479 ± 12
RandomCrop80 118946 ± 741 25272 ± 1822 11503 ± 441 1510 ± 230 32109 ± 1241
ShiftRGB 1873 ± 252 - 1582 ± 65 - -
Resize 2365 ± 153 611 ± 78 1806 ± 63 232 ± 24 195 ± 4
RandomGamma 8608 ± 220 - 2318 ± 269 108 ± 13 -
Grayscale 3050 ± 597 2720 ± 932 1681 ± 156 289 ± 75 1838 ± 130
RandomPerspective 410 ± 20 - 554 ± 22 86 ± 11 96 ± 5
GaussianBlur 1734 ± 204 242 ± 4 1090 ± 65 176 ± 18 79 ± 3
MedianBlur 862 ± 30 - 813 ± 30 5 ± 0 -
MotionBlur 2975 ± 52 - 612 ± 18 73 ± 2 -
Posterize 5214 ± 101 - 2097 ± 68 430 ± 49 3196 ± 185
JpegCompression 845 ± 61 778 ± 5 459 ± 35 71 ± 3 625 ± 17
GaussianNoise 147 ± 10 67 ± 2 206 ± 11 75 ± 1 -
Elastic 171 ± 15 - 235 ± 20 1 ± 0 2 ± 0
Clahe 423 ± 10 - 335 ± 43 94 ± 9 -
CoarseDropout 11288 ± 609 - 671 ± 38 536 ± 87 -
Blur 4816 ± 59 246 ± 3 3807 ± 325 - -
ColorJitter 536 ± 41 255 ± 13 - 55 ± 18 46 ± 2
Brightness 4443 ± 84 1163 ± 86 - 472 ± 101 429 ± 20
Contrast 4398 ± 143 736 ± 79 - 425 ± 52 335 ± 35
RandomResizedCrop 2952 ± 24 - - 287 ± 58 511 ± 10
Normalize 1016 ± 84 - - 626 ± 40 519 ± 12
PlankianJitter 1844 ± 208 - - 813 ± 211 -

Speedups

Assets 2
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