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Thanks for sharing. Recently, using your code, I generated the superpixels with SEEM. Then I pre-trained the 3D backbone with SLidR with the new superpixels. However, the performance is not as good as…
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When I run main_superpixels_contrastive.py
I got
f = pickle.load(f)
ModuleNotFoundError: No module named 'data.superpixels'
I don't know why "f = pickle.load(f)" can cause this problem?
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I'm submitting this issue at the request of Will Barnes. It's not clear to me whether it would be considered a feature request or a bug.
The issue is that if you have a masked image in a Map and ap…
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It would be nice to have a feature to generate superpixels, and label superpixels in one mouse-click (sort of like a brush, but it labels the superpixel if the mouse has hovered over with the Mouse Bu…
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It would be nice to be able to pass node weights for Hamming loss function, i.e. make some labels more important than the others. For example, if we are labeling superpixels of an image instead of pix…
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SNIC is a fast algorithm for creating superpixels (essentially, pixel groupings that minimize the variance of underlying pixel values). This is very useful for classification and for vectorization. Cl…
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Thank you for your sharing! Could you please tell me how do you judge if two superpixels are adjacent? And if it's ok, can you tell me where the source code is in? Thank you very much!
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Hi, Felipe. I ran a valgrind check in my code, and somehow there was an invalid read in the function iftSICLE_CalcTStats.
This is a snippet of the code that I used:
```C
iftSICLEArgs *sargs;
i…
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Hi, so related to #159 I have another problem. Let me try to give a minimal example:
```
from __future__ import division, print_function, absolute_import
import autograd
import autograd.numpy as…
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Thanks for sharing your work!
I thought that it might be interesting to add these Deep Learning based approaches to generate superpixels. What do you think?
https://github.com/NVlabs/ssn_superpixel…