20. RandomCrop view code 回到顶部 21. RandomCropNearBBox 回到顶部 22. RandomGridShuffle view code 回到顶部 23. RandomResizedCrop view code 回到顶部 24. RandomRotate90 回到顶部 25. RandomScale 回到顶部 26. RandomSizedBBoxSafeCrop 回到顶部 27. RandomSizedCrop 回到顶部 28. Resize 回到顶部 29....
RandomCropNearBBox✓✓✓✓ RandomGridShuffle✓✓✓ RandomResizedCrop✓✓✓✓ RandomRotate90✓✓✓✓ RandomScale✓✓✓✓ RandomSizedBBoxSafeCrop✓✓✓ RandomSizedCrop✓✓✓✓ Resize✓✓✓✓ Rotate✓✓✓✓ ...
A.Affine(p=0.6, scale=(0.9,1.1), translate_percent=None, shear=(-10,10), rotate=(-30,30)), A.RandomResizedCrop(p=0.6, size=(120,248), scale=(0.6,1.0), ratio=(1.9,2.3)), A.Perspective(p=0.8, scale=(0.05,0.3)), ], p=0.9, additional_targets={'image0':'image'})#训练时...
我需要在训练我的模型之前添加数据增强,我选择了albumentation来执行此操作。这是我添加专辑时的代码: data_transform = {"train": A.Compose([ A.RandomResizedCrop(224,224), A.HorizontalFlip(p=0.5), A.RandomGamma(gamma_limit=(80,120), eps=None, always_apply=False, p=0.5), A.RandomBrightnessCo...
f'{save_fig_name}.png', dpi=120)plt.show()原图 1. CenterCrop def center_crop(img):height, width = img.shape[:2]plt.figure(figsize=(16,9))for i in range(8):plt.subplot(4, 2, i+1)crop_height, crop_width = np.random.randint(100, height), np.random.randint(100, width)
albu.augmentations.transforms.RandomResizedCrop( height=height, width=width, p=0.3), albu.augmentations.transforms.Flip(), albu.augmentations.transforms.Transpose(), albu.OneOf([ albu.RandomBrightnessContrast(brightness_limit=0.5, contrast_limit=0.4), ...
RandomCrop 随机裁剪 RandomGamma 随机灰度系数 RandomRotate90 将输入随机旋转90度,N次 ShiftScaleRotate 随机平移,缩放和旋转输入。 CenterCrop 裁剪图像的中心部分 GridDistortion网格失真 ElasticTransform 弹性变换 RandomGridShuffle把图像切成网格单元随机排列。
transform = A.Compose([ A.RandomResizedCrop(256, 256), A.HorizontalFlip(p=0.5), A.ShiftScaleRotate(p=0.5), A.RandomBrightnessContrast(p=0.2), ToTensorV2(), ]) 对图像和目标进行增强操作。可以使用Albumentations提供的transform函数对输入的图像和目标进行增强: 代码语言:txt 复制 transformed = transf...
"RandomResizedCrop", "RandomCropNearBBox", "RandomSizedBBoxSafeCrop", "CropAndPad", ] @@ -499,3 +502,321 @@ def targets_as_params(self): def get_transform_init_args_names(self): return ("height", "width", "erosion_rate", "interpolation") class CropAndPad(DualTransform): """...
| RandomResizedCrop | **2272 ± 6** | 1113 ± 5 | 189 ± 1 | - | - | | ShiftRGB | **1708 ± 2** | - | 425 ± 1 | - | 1480 ± 11 | | Resize | **2209 ± 1** | 1285 ± 3 | 200 ± 1 | 430 ± 1 | 1690 ± 1 | | RandomGamma | **3638 ± 7** | ...