Spaces:
Running
Running
| title: DPT Depth Estimation + 3D | |
| emoji: ⚡ | |
| short_description: Image to 3D with DPT + 3D Point Cloud | |
| colorFrom: yellow | |
| colorTo: red | |
| python_version: 3.10.13 | |
| sdk: gradio | |
| sdk_version: 5.21.0 | |
| app_file: app.py | |
| license: apache-2.0 | |
| hf_oauth: true | |
| fullWidth: false | |
| tags: | |
| - depth | |
| - 3d | |
| thumbnail: >- | |
| https://cdn-uploads.huggingface.co/production/uploads/6346595c9e5f0fe83fc60444/cyAmkkrQsfDjolwuHb4ZX.png | |
| ## Project Description | |
| An advanced application for depth estimation and 3D object reconstruction using the DPT model and 3D Point Cloud techniques. | |
| Utilized the Hugging Face Transformers library to predict depth from 2D images and generate detailed 3D meshes. | |
| Integrated Gradio for an interactive user interface, allowing users to upload images and visualize the resulting 3D models in real-time. | |
| This project uses computer vision, deep learning, and 3D graphics, into a complex but user-friendly applications with state-of-the-art technologies. | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference |