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Hi @csuhan, thanks for the code. I ran test.py on pretrained model weights but I am getting below output on dota1.
Also, I would like to mention that the test.py shows the below output and then start…
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主干网络设置为B5,,Pretrain设置为True,会自动从Github上下载你的backbone权重。但是目前仓库只上传了b0,b1,b2,我该如何添加B5 backbone权重进行预训练呢?
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@NielsRogge
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Has anyone come across notebooks that can assist in integrating DINOv2 as the backbone for Mask2Former for semantic segmentation? I attempted this integration, but when configuring …
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非常感谢您的工作,作为一个菜鸟想请问一下网络结构总体是mobilenetv2的backbone+fpn,但Mobilenetv2以matlab的结构版本或者最常见的版本是224的input,而且依据原论文中stride为1(可残差连接)的有1+3+1=5个,而在您的代码Mobilenetv2的forward中我注意到仅有3次残差连接,且原论文中mobilenetv2无上采样层unsample,这是…
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How to use ptv3 as the backbone on other datasets
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### Description & Motivation
Currently, the strings provided in `ignore_modules` will be checked in as a [prefix](https://github.com/Lightning-AI/pytorch-lightning/blob/119039b932c79f1e5daef67345628e…
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As the title describes
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As mentioned in #5,
The output of "layer_4" is NaN for **Line 71 in modules/geo_predictors/omnidata/modules/midas/dpt_depth.py**
_layer_1, layer_2, layer_3, layer_4 = forward_vit(self.pretrained, x)…