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it seems that my own labeled images are not suitable for the feed value. The batch size is 2, 227*227 pixels, single channel labeled pngs, but what is the "4" represent? Hope someone could give me a h…
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请问下数据集是怎么制作的呢？我使用labelme标注之后，将指针的像素设置为1，刻度的像素值设置为了2，力求和你的数据集的格式一样，可是没有训练成功呢？
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**Is your feature request related to a problem? Please describe.**
I think the whole project could benefit if images and galleries have the functionality, to label objects directly inside of the web …
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Hi i have manually labeled some images(.png and .jpg formats) with labelme and i converted the annotations to coco format using labelme2coco tool. My images are all of different size do i have to manu…
dulre updated
2 years ago
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转换出来和实际标注不一致
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当前数据需要转换后才能进行训练，可直接进行支持，绕过转换步骤
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原图为1600*2400大小，训练的时候需要将mask图resize，但是resize之后再显示出来，失真特别严重，这个问题作者遇到过没
mochp updated
4 years ago
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我使用labelme2coco.py把我用labelme生成的json文件转成Coco的json报错,提示在data_tranfer函数中,label[1]越界?我分析了一下,确实会越界,因为第一次label仅有一个值label[0].有遇到同样问题的小伙伴吗?
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Hi there. If I want to use my own data, how could I generate lane mask (lable) data like yours?