See our collection for all versions of Depth Anything V2.

Run Depth Anything V2 with Keras 3: JAX, PyTorch, or TensorFlow

kerasformers/depth_anything_v2_large

Paper: Depth Anything V2 (arXiv:2406.09414) · HF Papers

Depth Anything V2 keeps V1's architecture and improves data (synthetic labels plus large-scale pseudo-labeling). Relative heads return unitless inverse depth; metric indoor/outdoor heads return metres.

For more details on the model, please go to the upstream model card.

Pure-Keras 3 conversion of depth-anything/Depth-Anything-V2-Large-hf for kerasformers. One implementation runs unmodified on TensorFlow / Torch / JAX.

This is a monocular depth checkpoint (DepthAnythingV2DepthEstimation, relative).

✨ Quick start

import os
os.environ["KERAS_BACKEND"] = "torch"  # or "jax" / "tensorflow"

from PIL import Image
from kerasformers.models.depth_anything_v2 import DepthAnythingV2DepthEstimation, DepthAnythingV2ImageProcessor

model = DepthAnythingV2DepthEstimation.from_weights("kerasformers/depth_anything_v2_large")
processor = DepthAnythingV2ImageProcessor.from_weights("kerasformers/depth_anything_v2_large")

image = Image.open("your_image.jpg").convert("RGB")
output = model(processor(image)["pixel_values"], training=False)
depth = processor.post_process_depth_estimation(
    output, original_size=(image.height, image.width)
)
print(depth.shape)

Load any Depth Anything V2 variant the same way with from_weights("kerasformers/<variant>"):

Variant	Hub	Output
`depth_anything_v2_small`	`kerasformers/depth_anything_v2_small`	relative
`depth_anything_v2_base`	`kerasformers/depth_anything_v2_base`	relative
`depth_anything_v2_large`	`kerasformers/depth_anything_v2_large`	relative
`depth_anything_v2_metric_indoor_small`	`kerasformers/depth_anything_v2_metric_indoor_small`	metric indoor
`depth_anything_v2_metric_indoor_base`	`kerasformers/depth_anything_v2_metric_indoor_base`	metric indoor
`depth_anything_v2_metric_indoor_large`	`kerasformers/depth_anything_v2_metric_indoor_large`	metric indoor
`depth_anything_v2_metric_outdoor_small`	`kerasformers/depth_anything_v2_metric_outdoor_small`	metric outdoor
`depth_anything_v2_metric_outdoor_base`	`kerasformers/depth_anything_v2_metric_outdoor_base`	metric outdoor
`depth_anything_v2_metric_outdoor_large`	`kerasformers/depth_anything_v2_metric_outdoor_large`	metric outdoor

Tips

Set KERAS_BACKEND before importing Keras / kerasformers.
Indoor and outdoor metric heads are not interchangeable.
See Depth Anything V2 docs and Loading Weights.
Community / upstream weights: DepthAnythingV2DepthEstimation.from_weights("hf:depth-anything/Depth-Anything-V2-Large-hf").