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GitHub / soubhiksanyal / now_evaluation
This is the official repository for evaluation on the NoW Benchmark Dataset. The goal of the NoW benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D face reconstruction methods from a single image under variations in viewing angle, lighting, and common occlusions.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/soubhiksanyal%2Fnow_evaluation
Stars: 97
Forks: 16
Open Issues: 1
License: None
Language: Python
Repo Size: 578 KB
Dependencies:
7
Created: over 3 years ago
Updated: 3 months ago
Last pushed: over 1 year ago
Last synced: 2 months ago
Topics: 2d-3d, 3d-data, 3d-face-alignment, 3d-landmarks, 3d-mesh, 3d-reconstruction, benchmark-datasets, computer-vision, face, face-alignment, face-reconstruction, face-reconstruction-challenge, flame, flame-model, now-evaluation, python, python3, single-image-reconstruction, triplet-loss
Files
Dependencies
- Cython ==0.29.21
- chumpy ==0.70
- matplotlib ==3.3.4
- numpy ==1.19.5
- opencv-python ==4.4.0.46
- scipy ==1.5.4
- werkzeug ==1.0.1