Depth Estimation
Transformers
Safetensors
camera_depth_model
feature-extraction
camera-depth-model
rgbd
robotics
custom_code
Instructions to use bigshanedogg/Camera-Depth-Model-ZED2i-Neural with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigshanedogg/Camera-Depth-Model-ZED2i-Neural with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="bigshanedogg/Camera-Depth-Model-ZED2i-Neural", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bigshanedogg/Camera-Depth-Model-ZED2i-Neural", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from bigshanedogg/Camera-Depth-Model-ZED2i-Neural: direct link, hf CLI and curl.
- Browser
- Download file 661 Bytes
-
https://huggingface.co/bigshanedogg/Camera-Depth-Model-ZED2i-Neural/resolve/main/config.json
- Command line
-
hf download hf://bigshanedogg/Camera-Depth-Model-ZED2i-Neural/config.json
-
curl -L -o config.json https://huggingface.co/bigshanedogg/Camera-Depth-Model-ZED2i-Neural/resolve/main/config.json
661 Bytes
| { | |
| "architectures": [ | |
| "CameraDepthModelForDepthEstimation" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_camera_depth_model.CameraDepthModelConfig", | |
| "AutoModel": "modeling_camera_depth_model.CameraDepthModelForDepthEstimation", | |
| "AutoModelForDepthEstimation": "modeling_camera_depth_model.CameraDepthModelForDepthEstimation" | |
| }, | |
| "camera": "Stereolabs ZED 2i (Neural mode)", | |
| "dtype": "float32", | |
| "encoder": "vitl", | |
| "features": 256, | |
| "max_depth": 20.0, | |
| "model_type": "camera_depth_model", | |
| "out_channels": [ | |
| 256, | |
| 512, | |
| 1024, | |
| 1024 | |
| ], | |
| "transformers_version": "5.20.2", | |
| "use_bn": false, | |
| "use_clstoken": false | |
| } | |