gnanukoth

Results 9 comments of gnanukoth

compute_class_weights issue for 894 labels

Thanks for getting back. I need a clarification regarding the depth image format for training and inference. For testing on custom procured RGB and depth images, what format should they...

TypeError: Cannot use scipy.linalg.eigh for sparse A with k >= N. Use scipy.linalg.eigh(A.toarray()) or reduce k.

@MaartenGr So in such cases where the number of topics is less, how would you suggest to calculate the x,y representation for the topics for visualisation purpose?

TypeError: Cannot use scipy.linalg.eigh for sparse A with k >= N. Use scipy.linalg.eigh(A.toarray()) or reduce k.

Noted @MaartenGr , I will search through the issues, Thanks!

TypeError: Cannot use scipy.linalg.eigh for sparse A with k >= N. Use scipy.linalg.eigh(A.toarray()) or reduce k.

Leaving the possible solution found in another issue here: [link](https://github.com/MaartenGr/BERTopic/issues/1900), for easy reference. Thanks!

TypeError: Cannot use scipy.linalg.eigh for sparse A with k >= N. Use scipy.linalg.eigh(A.toarray()) or reduce k.

Hello @MaartenGr, the proposed solution in the other issue also works only for No. of topics >= 4. I tried using PCA for cases where No. of topics < 4,...

Build on Ubuntu 20.04

Noted, Thanks for support! Changing the python requirement to 3.8 helped complete the cmake build. Previously I had installed cmake version 3.25.2, since 3.16 was not compatible. Although the protoc...

Build on Ubuntu 20.04

`colcon build --symlink-install --merge-install --cmake-args -DCMAKE_BUILD_TYPE=RelWithDebInfo --packages-up-to gz-transport12` May I know the directory in which the colcon build for the gz-sim7 has to be run? I am sorry, I am...

Build on Ubuntu 20.04

Noted, I will check that! Thank you so much for your support!

Build on Ubuntu 20.04

I tried uninstalling the binary installation, but the gz folder in the usr/include still remains. How do I check or set correct search paths?