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
File size: 519 Bytes
169a39f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"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"
}
|