Depth Estimation
Transformers
Safetensors
camera_depth_model
feature-extraction
camera-depth-model
rgbd
robotics
custom_code
Instructions to use bigshanedogg/Camera-Depth-Model-D435 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigshanedogg/Camera-Depth-Model-D435 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="bigshanedogg/Camera-Depth-Model-D435", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bigshanedogg/Camera-Depth-Model-D435", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 650 Bytes
a1088dc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"architectures": [
"CameraDepthModelForDepthEstimation"
],
"auto_map": {
"AutoConfig": "configuration_camera_depth_model.CameraDepthModelConfig",
"AutoModel": "modeling_camera_depth_model.CameraDepthModelForDepthEstimation",
"AutoModelForDepthEstimation": "modeling_camera_depth_model.CameraDepthModelForDepthEstimation"
},
"camera": "Intel RealSense D435",
"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
}
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