fix readme.md

README.md

@@ -1,21 +1,79 @@
 ---
 pipeline_tag: depth-estimation
-license: cc-by-nc-4.0
+license: apache-2.0
+base_model: depth-anything/Depth-Anything-V2-Base-hf
 library_name: kerasformers
 tags:
 - keras
 - kerasformers
-- depth_anything_v2
-- tf
-- jax
+- depth-anything-v2
+- depth-estimation
+- arxiv:2406.09414
 - pytorch
+- jax
+- tf
 ---
 
-# depth_anything_v2_base (Keras 3)
+## ***See [our collection](https://huggingface.co/collections/kerasformers/depth-anything-v1-and-v2-6a6a965e3e9e4847e424dde2) for all versions of Depth Anything V2.***
+
+# Run Depth Anything V2 with Keras 3: JAX, PyTorch, or TensorFlow
+
+[![GitHub](https://img.shields.io/badge/GitHub-KerasFormers-black?logo=github)](https://github.com/IMvision12/KerasFormers) [![Docs](https://img.shields.io/badge/Docs-Depth--Anything--V2-blue)](https://imvision12.github.io/KerasFormers/depth_anything_v2/) [![Collection](https://img.shields.io/badge/HF-Depth--Anything--V2%20collection-yellow)](https://huggingface.co/collections/kerasformers/depth-anything-v1-and-v2-6a6a965e3e9e4847e424dde2)
+
+# kerasformers/depth_anything_v2_base
+
+Paper: [Depth Anything V2 (arXiv:2406.09414)](https://arxiv.org/abs/2406.09414) · [HF Papers](https://huggingface.co/papers/2406.09414)
+
+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.\n
+For more details on the model, please go to the upstream [model card](https://huggingface.co/depth-anything/Depth-Anything-V2-Base-hf).
+
+Pure-**Keras 3** conversion of [`depth-anything/Depth-Anything-V2-Base-hf`](https://huggingface.co/depth-anything/Depth-Anything-V2-Base-hf) for [kerasformers](https://github.com/IMvision12/KerasFormers). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
+
+This is a **monocular depth** checkpoint (`DepthAnythingV2DepthEstimation`, relative).
 
-Pure-Keras 3 weights for [kerasformers](https://github.com/IMvision12/KerasFormers). License: `cc-by-nc-4.0`.
+## ✨ Quick start
 
 ```python
-from kerasformers.models.depth_anything_v2 import DepthAnythingV2DepthEstimation
-model = DepthAnythingV2DepthEstimation.from_weights("depth_anything_v2_base")
+import os
+os.environ["KERAS_BACKEND"] = "torch"  # or "jax" / "tensorflow"
+
+from PIL import Image
+from {meta['import_path']} import {meta['load_cls']}, {meta['proc_cls']}
+
+model = {meta["load_cls"]}.from_weights("kerasformers/{variant}")
+processor = {meta['proc_cls']}()
+
+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`](https://huggingface.co/kerasformers/depth_anything_v2_small) | relative |
+| `depth_anything_v2_base` | [`kerasformers/depth_anything_v2_base`](https://huggingface.co/kerasformers/depth_anything_v2_base) | relative |
+| `depth_anything_v2_large` | [`kerasformers/depth_anything_v2_large`](https://huggingface.co/kerasformers/depth_anything_v2_large) | relative |
+| `depth_anything_v2_metric_indoor_small` | [`kerasformers/depth_anything_v2_metric_indoor_small`](https://huggingface.co/kerasformers/depth_anything_v2_metric_indoor_small) | metric indoor |
+| `depth_anything_v2_metric_indoor_base` | [`kerasformers/depth_anything_v2_metric_indoor_base`](https://huggingface.co/kerasformers/depth_anything_v2_metric_indoor_base) | metric indoor |
+| `depth_anything_v2_metric_indoor_large` | [`kerasformers/depth_anything_v2_metric_indoor_large`](https://huggingface.co/kerasformers/depth_anything_v2_metric_indoor_large) | metric indoor |
+| `depth_anything_v2_metric_outdoor_small` | [`kerasformers/depth_anything_v2_metric_outdoor_small`](https://huggingface.co/kerasformers/depth_anything_v2_metric_outdoor_small) | metric outdoor |
+| `depth_anything_v2_metric_outdoor_base` | [`kerasformers/depth_anything_v2_metric_outdoor_base`](https://huggingface.co/kerasformers/depth_anything_v2_metric_outdoor_base) | metric outdoor |
+| `depth_anything_v2_metric_outdoor_large` | [`kerasformers/depth_anything_v2_metric_outdoor_large`](https://huggingface.co/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]({DOCS_URL}) and [Loading Weights](https://imvision12.github.io/KerasFormers/loading_weights/).
+- Community / upstream weights: `DepthAnythingV2DepthEstimation.from_weights("hf:depth-anything/Depth-Anything-V2-Base-hf")`.
+
+## Special Thanks
+
+A huge thank you to the Depth Anything authors for creating and releasing these models.
+
+License: Apache 2.0.