additional_targets参数允许在同一个Compose中处理多张图像或图像及其对应的掩码: transform = A.Compose([ A.HorizontalFlip(p=0.5), A.Rotate(limit=40, p=0.7), ], additional_targets={'mask':'mask'})# 示例掩码mask = cv2.imread('path_to_mask.png', cv2.IMREAD_GRAYSCALE)# 应用增强augmented = ...
additional_targets:key新target 名字,value 为旧 target 名字的 dict,如 {'image2': 'image'},dict 类型 p:使用这些变换的概率,默认值为 1.0 如下使用: image3=Compose([# 对比度受限直方图均衡#(Contrast Limited Adaptive Histogram Equalization)CLAHE(),# 随机旋转 90°RandomRotate90(),# 转置Transpose()...
通常用于数据增广,是PyTorch生态系统的一部分。 主页:https://albumentations.ai/ 2 核心点 支持的变换:https://albumentations.ai/docs/getting_started/transforms_and_targets/ 分为两类:pixel-level transforms 和 spatial-level transforms. 前者像素级变换,mask等不需要动;后者mask同步变换; 变换概率:https://al...
augmentation = Compose([first, second], p=1, augmentation = Compose([first, second], p=1, additional_targets={"additional_target_1": "image", "additional_target_2": "image"}) augmentation(image=image, additional_target_1=image, additional_target_2=image) # will raise exception if n...
aug=Compose([],additional_targets=additional_targets) withpytest.raises(TypeError)asexc_info: aug(**targets) assertstr(exc_info.value)==err_message @pytest.mark.parametrize( ["targets","bbox_params","keypoint_params","expected"], [
fix_safe_rotate_targets support-ukraine fix_multiprocessing_random feature/coarse_dropout_to_support_keypoints pixel_dropout fix_choice_trasnforms fix_histogram_matching bloodaxe/fix-padding compose_transform_warning 1.3.0 1.2.1 1.2.0 1.1.0
在 Torchvision 中有很多经典数据集可以下载使用，在官方文档中可以看到具体有哪些数据集可以使用：...
The following table shows which additional targets are supported by each transform. TransformImageMasksBBoxesKeypoints CenterCrop ✓ ✓ ✓ ✓ CoarseDropout ✓ ✓ Crop ✓ ✓ ✓ ✓ CropNonEmptyMaskIfExists ✓ ✓ ✓ ✓ ElasticTransform ✓ ✓ Flip ✓ ✓ ✓ ✓ ...
]returnalbu.Compose(train_transform) 开发者ID:pudae,项目名称:kaggle-understanding-clouds,代码行数:19,代码来源:cloud_transform.py 示例3: test_transform_pipeline_serialization ▲点赞 6▼ # 需要导入模块: import albumentations [as 别名]# 或者: from albumentations importCompose[as 别名]deftest_transform...
Custom taskssuch as autoencoders, more then three channel images - refer toComposeclassdocumentationto useadditional_targets. You can use thisGoogle Colaboratory notebookto adjust image augmentation parameters and see the resulting images. Authors ...