-
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…
-
Hello,
When running the code, I find there is a bug from main_superpixels_contrastive.py.
It reports as follows:
![image](https://user-images.githubusercontent.com/15103490/113104134-c2411f80-9232-…
-
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?
-
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…
-
App name : bounding box app, trainable segmentation app, superpixels app
At the moment we use quite a lot of CSS to make sure that the different parts of the app are responsive (when the screen is …
-
Recently, I started to get an error message when I run the JSLIC superpicels 2D plugin for ImageJ, and I think the error is *not* inside the JSLIC plugin, but rather is some sort of JAVA configuration…
-
First of all, great work!
I assume that in order to use it I have to train the weights on a dataset with superpixels annotations, or at least some boundry boxes.
Am I right?
What do you suggest me …
-
## ❓ Questions and Help
Hi,
I was trying to load a constructed dgl graph. but got the following error. Any advice for this? Thanks.
Can't get attribute 'DGLHeteroGraph' on
-
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…
-
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…