Closed Walid-Ahmed closed 1 year ago
This error is due to the patch scorer features being a factor of x32 smaller than the image, while you require them to be x8 smaller than the image in order to rank patches of size 8x8 pixels. You can try taking a shallower level of the CNN inside the FeatureBased patch scorer (after 3 downsamples instead of after 5 downsamples which is the default). Another option is to use the PixelBlur patch scorer without any code changes, although I only recommend it for playground testing, as it's far less semantically strong than the FeatureBased scorer.
On Sun, Sep 17, 2023 at 5:10 AM Walid Ahmed @.***> wrote:
Hi, thanks for this great work.
I am trying to use the following parameters for Tokenization: image_size = 224 min_patch_size = 4 max_patch_size = 8 quadtree_num_patches = 2002
I am getting the following error: /examples/mixed_res/patch_scorers/patch_scorer.py", line 82, in _calculate_scores raise ValueError( ValueError: map_size (7) < grid_size (28)
Can you please help me understand and reslove this error?
Thanks in advance
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Thanks a lot I followed your advice and code is working now
That's great to hear :) I hope it works well
On Sun, 17 Sept 2023, 22:56 Walid Ahmed, @.***> wrote:
Thanks a lot I followed your advice and code is working now
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Hi, thanks for this great work.
I am trying to use the following parameters for Tokenization : image_size = 224 min_patch_size = 4 max_patch_size = 8 quadtree_num_patches = 2002
I am getting the following error when using FeatureBasedPatchScorer: /examples/mixed_res/patch_scorers/patch_scorer.py", line 82, in _calculate_scores raise ValueError( ValueError: map_size (7) < grid_size (28)
If I use RandomPatchScorer(), it works fine Can you please help me understand and reslove this error?
Thanks in advance