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The left is GT, the Visualization of GT is weird.
dataset_type = 'SatelliteSegDataset' # data_root = 'data/satellite/' data_root = 'data/satellite_seg_512/' crop_size = (2048, 2048) # random crop size bezier_order = 3 dilate_kernel = 1 train_pipeline = [ dict(type='LoadImageFromFile'), # 第1个流程,从文件路径里加载图像 dict(type='LoadAnnotations'), # 第2个流程,对于当前图像,加载它的标注图像 dict(type='RandomResize', # 调整输入图像大小(resize)和其标注图像的数据增广流程 scale=crop_size, keep_ratio=True), # 图像裁剪的大小 dict(type='RandomFlip', # 翻转图像和其标注图像的数据增广流程 prob=0.5), # 翻转图像的概率 dict(type='PhotoMetricDistortion'), # 光学上使用一些方法扭曲当前图像和其标注图像的数据增广流程,和GT无关,不用改 dict(type='PackSegInputs') # 打包用于语义分割的输入数据 ] test_pipeline = [ dict(type='LoadImageFromFile'), # 第1个流程,从文件路径里加载图像 dict(type='LoadAnnotations'), # 加载数据集提供的语义分割标注 dict(type='PackSegInputs') # 打包用于语义分割的输入数据 ]
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#3649
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How did you solve it, thank you.
Please refer to the PR I mentioned above. #3649
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The left is GT, the Visualization of GT is weird.
The text was updated successfully, but these errors were encountered: