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kerasformers/
depth_anything_v2_metric_indoor_small

Name: depth_anything_v2_metric_indoor_small
Availability: InStock

depth-anything/Depth-Anything-V2-Metric-Indoor-Small-hf

finetune

apache-2.0

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See our collection for all versions of Depth Anything V2.

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

GitHub

zeromodels/depth_anything_v2_metric_indoor_small

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-Metric-Indoor-Small-hf for zeromodels. One implementation runs unmodified on TensorFlow / Torch / JAX.

This is a monocular depth checkpoint (DepthAnythingV2DepthEstimation, metric indoor (20m)).

✨ Quick start

python

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

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

model = DepthAnythingV2DepthEstimation.from_weights("zeromodels/depth_anything_v2_metric_indoor_small")
processor = DepthAnythingV2ImageProcessor.from_weights("zeromodels/depth_anything_v2_metric_indoor_small")

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("zeromodels/<variant>"):

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

Tips

Set KERAS_BACKEND before importing Keras / zeromodels.
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-Metric-Indoor-Small-hf").

Special Thanks

A huge thank you to the Depth Anything authors for creating and releasing these models.

License: Apache 2.0.

kerasformers/depth_anything_v2_metric_indoor_small