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Sponsored by
APIMart
zeromodels / depth_anything_v2_metric_indoor_large
Model's Last Updated: August 27 2026
depth-estimation
Introduction of depth_anything_v2_metric_indoor_large
Model Details of depth_anything_v2_metric_indoor_large
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_metric_indoor_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-Metric-Indoor-Large-hf
for
kerasformers
. One implementation runs unmodified on
TensorFlow / Torch / JAX
.
This is a
monocular depth
checkpoint (
DepthAnythingV2DepthEstimation
, metric indoor (20m)).
✨ 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_metric_indoor_large")
processor = DepthAnythingV2ImageProcessor.from_weights("kerasformers/depth_anything_v2_metric_indoor_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_BACKENDbefore 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-Metric-Indoor-Large-hf").
Special Thanks
A huge thank you to the Depth Anything authors for creating and releasing these models.
License: Apache 2.0.
Runs of zeromodels depth_anything_v2_metric_indoor_large on huggingface.co
33
Total runs
12
24-hour runs
14
3-day runs
4
7-day runs
-9
30-day runs
More Information About depth_anything_v2_metric_indoor_large huggingface.co Model
Url of depth_anything_v2_metric_indoor_large
depth_anything_v2_metric_indoor_large huggingface.co Url
Provider of depth_anything_v2_metric_indoor_large huggingface.co
Other API from zeromodels
Updated:August 27 2026
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