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Official PyTorch implementation of "Extract Free Dense Labels from CLIP" (ECCV 22 Oral)

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Traceback (most recent call last): File "tools/test.py", line 11, in from mmcv.parallel import MMDataParallel, MMDistributedDataParallel ModuleNotFoundError: No module named 'mmcv.parallel'

Hi, thanks you for your such a great work. I wonder how to split novel and base class when we test on three datasets. I didn't find the implementation. I...

First of all, great work and thank you for open source all the code! I was trying to test the model using Pascal VOC 2010 Dataset but somehow the result...

I want to ask which version of mmcv-full I should use. I installed 1.3.18, but reported the error "KeyError:" EncoderDecoder: 'ResNetClip is not in the models registry' "

hi,thanks for the code ,but when i try to train the MaskCLIP+, I found an error: `model= dict( type='EncoderDecoder', pretrained='open-mmlab://resnet101_v1c', backbone=dict( type='ResNetV1c', depth=101, num_stages=4, out_indices=(0, 1, 2, 3), dilations=(1, 1,...

```shell python tools/maskclip_utils/convert_clip_weights.py --model ViT16 ``` After execute the statement above, I get the ViT16_clip_weights.pth. However, when I run the test.py, it will cause a problem, that is, ![image](https://github.com/user-attachments/assets/ab8073ad-0de8-4cb3-842a-8e7ab9bc8068) I...

Hello author, may I ask why you want to elaborate on this statement in your paper? Why does the model need to use a class token instead of the average...