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 huggingface_hub import hf_hub_download
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)
model.eval()
raw_img = cv2.imread("your/image/path")
depth = model.infer_image(raw_img) # HxW raw depth map in numpy
