da3metric

from grid_cortex_client import CortexClient, ModelType
import numpy as np
from PIL import Image
client = CortexClient()
image = np.array(Image.open("cat.jpg"))
depth = client.run(ModelType.DA3METRIC, image_input=image)
print(depth.shape)  # (480, 640)

from grid_cortex_client import CortexClient
from PIL import Image

client = CortexClient()
image = Image.open("scene.jpg")  # 640x480 RGB
depth = client.run(model_id="da3metric", image_input=image)

print(depth.shape, depth.dtype)
# (378, 504) float32 — note: output resolution differs from input

print(f"min={depth.min():.4f}, max={depth.max():.4f}, mean={depth.mean():.4f}")
# min=1.6177, max=53.1848, mean=12.9778  (meters)