Comments (5)
It's an issue of large model files in Lanet . Download the model here: https://huggingface.co/spaces/Realcat/image-matching-webui/tree/main/third_party/lanet/checkpoints and place it in the right location.
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Fixed! I have made changes to the submodule 'lanet' and added a model downloader for use with 'lanet'. To download the updated code, please use the following command:
git clone --recursive https://github.com/Vincentqyw/image-matching-webui.git
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Thank you for your response, but after I deploy it locally, it can't run on my computer. I try to run it with the common.utils.run_matching() with the key is 'sift', and it comes an error below.
[Terminal]
Traceback (most recent call last):
File "xxx\image-match\image-matching-webui\test.py", line 11, in
kpts, matches_raw, matches_ransac, nums, conf, geom, wraped_img =utils.run_matching(img0,img1,match_threshold,extract_max_keypoints, keypoint_threshold, key)
File "xxx\image-match\image-matching-webui\common\utils.py", line 356, in run_matching
pred0 = extract_features.extract(
File "xxx\image-match\image-matching-webui\hloc\extract_features.py", line 450, in extract
pred = model({"image": data["image"]})
File "xxx\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "xxx\image-match\image-matching-webui\hloc\utils\base_model.py", line 24, in forward
return self._forward(data)
File "xxx\image-match\image-matching-webui\hloc\extractors\dog.py", line 77, in _forward
keypoints, scores, descriptors = self.sift.extract(image_np)
ValueError: not enough values to unpack (expected 3, got 2)
I haven't try other keys yet, but it seems like that the return value 'score' doesn't exist according to the Readme on https://github.com/colmap/pycolmap
from image-matching-webui.
Fixed! Please check this commit: 3e8b738
from image-matching-webui.
Fixed! Please check this commit: 3e8b738
Thank you!
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