Data augmentation #427
Data augmentation #427
Conversation
This script loads the extrinsic arrays generated by a computer vision model (such as VGGT), calculates the camera positions in 3D space, and applies clustering using K-Means to group these positions. Finally, it visualizes the clusters in a 3D graph.
Script for processing images with the Facebook AI VGGT model. Features: - Estimates depth maps and camera parameters (intrinsic and extrinsic matrices). - Saves depth in JPEG format (colored with colormap). - Exports camera parameters to a CSV file. Requirements: - torch, torchvision - PIL, matplotlib, pandas - vggt
|
Hi @pedroam-dev! Thank you for your pull request and welcome to our community. Action RequiredIn order to merge any pull request (code, docs, etc.), we require contributors to sign our Contributor License Agreement, and we don't seem to have one on file for you. ProcessIn order for us to review and merge your suggested changes, please sign at https://code.facebook.com/cla. If you are contributing on behalf of someone else (eg your employer), the individual CLA may not be sufficient and your employer may need to sign the corporate CLA. Once the CLA is signed, our tooling will perform checks and validations. Afterwards, the pull request will be tagged with If you have received this in error or have any questions, please contact us at [email protected]. Thanks! |
1 participant
No description provided.