Depth Estimation
Transformers
Safetensors
camera_depth_model
feature-extraction
camera-depth-model
rgbd
robotics
custom_code
Instructions to use bigshanedogg/Camera-Depth-Model-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigshanedogg/Camera-Depth-Model-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="bigshanedogg/Camera-Depth-Model-Base", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bigshanedogg/Camera-Depth-Model-Base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from bigshanedogg/Camera-Depth-Model-Base: direct link, hf CLI and curl.
- Browser
- Download file 519 Bytes
-
https://huggingface.co/bigshanedogg/Camera-Depth-Model-Base/resolve/main/processor_config.json
- Command line
-
hf download hf://bigshanedogg/Camera-Depth-Model-Base/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/bigshanedogg/Camera-Depth-Model-Base/resolve/main/processor_config.json
519 Bytes
| { | |
| "auto_map": { | |
| "AutoProcessor": "processing_camera_depth_model.CameraDepthModelProcessor" | |
| }, | |
| "image_processor": { | |
| "auto_map": { | |
| "AutoImageProcessor": "image_processing_camera_depth_model.CameraDepthModelImageProcessor", | |
| "AutoProcessor": "processing_camera_depth_model.CameraDepthModelProcessor" | |
| }, | |
| "depth_scale": 1000.0, | |
| "image_processor_type": "CameraDepthModelImageProcessor", | |
| "input_size": 518, | |
| "max_depth": 25.0 | |
| }, | |
| "processor_class": "CameraDepthModelProcessor" | |
| } | |