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from depth_anything.dpt import DepthAnything | |
import numpy as np | |
import cv2 | |
import torch | |
from torchvision.transforms import Compose | |
model_configs = { | |
'vitl': {'encoder': 'vitl', 'features': 256, 'out_channels': [256, 512, 1024, 1024]}, | |
'vitb': {'encoder': 'vitb', 'features': 128, 'out_channels': [96, 192, 384, 768]}, | |
'vits': {'encoder': 'vits', 'features': 64, 'out_channels': [48, 96, 192, 384]} | |
} | |
encoder = 'vitb' # or 'vitb', 'vits' | |
depth_anything_model = DepthAnything(model_configs[encoder]).cuda().eval() |