Instructions to use litert-community/depth-anything-v2-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/depth-anything-v2-small with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- DepthAnythingV2
How to use litert-community/depth-anything-v2-small with DepthAnythingV2:
# Install from https://github.com/DepthAnything/Depth-Anything-V2 # Load the model and infer depth from an image import cv2 import torch from depth_anything_v2.dpt import DepthAnythingV2 # instantiate the model model = DepthAnythingV2(encoder="<ENCODER>", features=<NUMBER_OF_FEATURES>, out_channels=<OUT_CHANNELS>) # load the weights filepath = hf_hub_download(repo_id="litert-community/depth-anything-v2-small", filename="depth_anything_v2_<ENCODER>.pth", repo_type="model") state_dict = torch.load(filepath, map_location="cpu") model.load_state_dict(state_dict).eval() raw_img = cv2.imread("your/image/path") depth = model.infer_image(raw_img) # HxW raw depth map in numpy - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from litert-community/depth-anything-v2-small: direct link, hf CLI and curl.
- Browser
- Download file 776 Bytes
-
https://huggingface.co/litert-community/depth-anything-v2-small/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://litert-community/depth-anything-v2-small/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/litert-community/depth-anything-v2-small/resolve/main/preprocessor_config.json
776 Bytes
| { | |
| "_valid_processor_keys": [ | |
| "images", | |
| "do_resize", | |
| "size", | |
| "keep_aspect_ratio", | |
| "ensure_multiple_of", | |
| "resample", | |
| "do_rescale", | |
| "rescale_factor", | |
| "do_normalize", | |
| "image_mean", | |
| "image_std", | |
| "do_pad", | |
| "size_divisor", | |
| "return_tensors", | |
| "data_format", | |
| "input_data_format" | |
| ], | |
| "do_normalize": true, | |
| "do_pad": false, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "ensure_multiple_of": 14, | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_processor_type": "DPTImageProcessor", | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "keep_aspect_ratio": false, | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 518, | |
| "width": 686 | |
| }, | |
| "size_divisor": null | |
| } | |