Comments (5)
@suke27 The result can not be reproduced if you change the experiment configuration:)
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Hello, i have a another question, i test with your pretrained model( it should be train with 20481024), when i test my own image, i found the results were significantly different, when i use different resolution(like 512512, 1024512, 20481024). it seems sensitive to resolution and aspect ratio, could you explain it.
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@suke27 The model was trained on image with size 1024 * 512. Obviously you will get different result with input images of different size:)
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@MaybeShewill-CV As we know, the convolution is robust to pixel deformation, shift. that's why we can enhance train dataset(flip, resize, rotate). so i think it should not sensitive to resolution
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@suke27 You may read the origin paper to find the answer:)
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Related Issues (20)
- Issue when resuming training HOT 3
- 您好,您有coco的预训练模型吗? HOT 1
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- inference time HOT 9
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- 关于cityscapes预训练模型的checkpoint文件 HOT 9
- Could you share your released bisenetv2 model in baidu or google cloud? HOT 3
- Data augmentation and data shuffling problem? HOT 3
- Quantized Model? HOT 3
- 请教模型几个参数的作用 HOT 1
- 针对小目标的识别分割应该从哪里下手优化
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- Performance issues in /data_provider (by P3) HOT 1
- 你好 我无法解决这个问题 HOT 1
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