1 dépôt
Awesome GitHub RepositoriesDepth Estimation Pipelines
Hugging Face pipeline wrappers that load pre-trained depth estimation models and run inference on images with minimal code.
Distinct from Hugging Face: Distinct from Hugging Face: focuses on depth estimation pipelines specifically, not general model conversion or authentication.
Explore 1 awesome GitHub repository matching devops & infrastructure · Depth Estimation Pipelines. Refine with filters or upvote what's useful.
Awesome Depth Estimation Pipelines GitHub Repositories
Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
- liheyoung/depth-anything
LiheYoung/Depth-Anything
8,124Voir sur GitHubDepth-Anything is a monocular depth estimation foundation model that produces dense per-pixel depth maps from a single RGB image. It is built on a DINOv2 Vision Transformer encoder backbone and trained on 62 million unlabeled images using a teacher-student pseudo-labeling framework, enabling robust generalization across diverse scenes without task-specific training. The model outputs both relative depth maps, which capture the ordering of scene points, and metric depth maps with real-world units after fine-tuning on datasets like NYUv2 or KITTI. The project distinguishes itself through its ab
Ships a Hugging Face pipeline wrapper for running depth estimation on images with minimal code.
Pythondepth-estimationimage-synthesismetric-depth-estimation
