Migrate to zeromodels (rename kf_.json -> zm_.json, fix refs in config + README, ensure tag + badge)

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README.md +21 -21
kf_config.json → zm_config.json +37 -37
kf_preprocessor.json → zm_preprocessor.json +18 -18

README.md CHANGED Viewed

@@ -2,10 +2,10 @@
 pipeline_tag: depth-estimation
 license: apache-2.0
 base_model: depth-anything/Depth-Anything-V2-Small-hf
-library_name: kerasformers
 tags:
 - keras
-- kerasformers
 - depth-anything-v2
 - depth-estimation
 - arxiv:2406.09414
@@ -14,13 +14,13 @@ tags:
 - tf
 ---
-## ***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_small
 Paper: [Depth Anything V2 (arXiv:2406.09414)](https://arxiv.org/abs/2406.09414) · [HF Papers](https://huggingface.co/papers/2406.09414)
@@ -28,7 +28,7 @@ Depth Anything V2 keeps V1's architecture and improves data (synthetic labels pl
 For more details on the model, please go to the upstream [model card](https://huggingface.co/depth-anything/Depth-Anything-V2-Small-hf).
-Pure-**Keras 3** conversion of [`depth-anything/Depth-Anything-V2-Small-hf`](https://huggingface.co/depth-anything/Depth-Anything-V2-Small-hf) for [kerasformers](https://github.com/IMvision12/KerasFormers). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
 This is a **monocular depth** checkpoint (`DepthAnythingV2DepthEstimation`, relative).
@@ -39,10 +39,10 @@ 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_small")
-processor = DepthAnythingV2ImageProcessor.from_weights("kerasformers/depth_anything_v2_small")
 image = Image.open("your_image.jpg").convert("RGB")
 output = model(processor(image)["pixel_values"], training=False)
@@ -52,25 +52,25 @@ depth = processor.post_process_depth_estimation(
 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-Small-hf")`.
 ## Special Thanks

 pipeline_tag: depth-estimation
 license: apache-2.0
 base_model: depth-anything/Depth-Anything-V2-Small-hf
+library_name: zeromodels
 tags:
 - keras
+- zeromodels
 - depth-anything-v2
 - depth-estimation
 - arxiv:2406.09414
 - tf
 ---
+## ***See [our collection](https://huggingface.co/collections/zeromodels/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-ZeroModels-black?logo=github)](https://github.com/IMvision12/ZeroModels) [![Docs](https://img.shields.io/badge/Docs-Depth--Anything--V2-blue)](https://imvision12.github.io/ZeroModels/depth_anything_v2/) [![Collection](https://img.shields.io/badge/HF-Depth--Anything--V2%20collection-yellow)](https://huggingface.co/collections/zeromodels/depth-anything-v1-and-v2-6a6a965e3e9e4847e424dde2)
+# zeromodels/depth_anything_v2_small
 Paper: [Depth Anything V2 (arXiv:2406.09414)](https://arxiv.org/abs/2406.09414) · [HF Papers](https://huggingface.co/papers/2406.09414)
 For more details on the model, please go to the upstream [model card](https://huggingface.co/depth-anything/Depth-Anything-V2-Small-hf).
+Pure-**Keras 3** conversion of [`depth-anything/Depth-Anything-V2-Small-hf`](https://huggingface.co/depth-anything/Depth-Anything-V2-Small-hf) for [zeromodels](https://github.com/IMvision12/ZeroModels). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
 This is a **monocular depth** checkpoint (`DepthAnythingV2DepthEstimation`, relative).
 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_small")
+processor = DepthAnythingV2ImageProcessor.from_weights("zeromodels/depth_anything_v2_small")
 image = Image.open("your_image.jpg").convert("RGB")
 output = model(processor(image)["pixel_values"], training=False)
 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`](https://huggingface.co/zeromodels/depth_anything_v2_small) | relative |
+| `depth_anything_v2_base` | [`zeromodels/depth_anything_v2_base`](https://huggingface.co/zeromodels/depth_anything_v2_base) | relative |
+| `depth_anything_v2_large` | [`zeromodels/depth_anything_v2_large`](https://huggingface.co/zeromodels/depth_anything_v2_large) | relative |
+| `depth_anything_v2_metric_indoor_small` | [`zeromodels/depth_anything_v2_metric_indoor_small`](https://huggingface.co/zeromodels/depth_anything_v2_metric_indoor_small) | metric indoor |
+| `depth_anything_v2_metric_indoor_base` | [`zeromodels/depth_anything_v2_metric_indoor_base`](https://huggingface.co/zeromodels/depth_anything_v2_metric_indoor_base) | metric indoor |
+| `depth_anything_v2_metric_indoor_large` | [`zeromodels/depth_anything_v2_metric_indoor_large`](https://huggingface.co/zeromodels/depth_anything_v2_metric_indoor_large) | metric indoor |
+| `depth_anything_v2_metric_outdoor_small` | [`zeromodels/depth_anything_v2_metric_outdoor_small`](https://huggingface.co/zeromodels/depth_anything_v2_metric_outdoor_small) | metric outdoor |
+| `depth_anything_v2_metric_outdoor_base` | [`zeromodels/depth_anything_v2_metric_outdoor_base`](https://huggingface.co/zeromodels/depth_anything_v2_metric_outdoor_base) | metric outdoor |
+| `depth_anything_v2_metric_outdoor_large` | [`zeromodels/depth_anything_v2_metric_outdoor_large`](https://huggingface.co/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]({DOCS_URL}) and [Loading Weights](https://imvision12.github.io/ZeroModels/loading_weights/).
 - Community / upstream weights: `DepthAnythingV2DepthEstimation.from_weights("hf:depth-anything/Depth-Anything-V2-Small-hf")`.
 ## Special Thanks

kf_config.json → zm_config.json RENAMED Viewed

@@ -1,38 +1,38 @@
-{
-  "library_name": "kerasformers",
-  "kerasformers_version": "1.2.1",
-  "model_module": "kerasformers.models.depth_anything_v2",
-  "model_class": "DepthAnythingV2DepthEstimation",
-  "variant": "depth_anything_v2_small",
-  "weights": "model.weights.h5",
-  "schema_version": 2,
-  "weight_dtype": "float32",
-  "model_type": "depth_anything",
-  "vision_config": {
-    "backbone_dim": 384,
-    "backbone_depth": 12,
-    "backbone_num_heads": 6,
-    "out_indices": [
-      3,
-      6,
-      9,
-      12
-    ],
-    "neck_hidden_sizes": [
-      48,
-      96,
-      192,
-      384
-    ],
-    "fusion_hidden_size": 64,
-    "reassemble_factors": [
-      4,
-      2,
-      1,
-      0.5
-    ],
-    "depth_estimation_type": "relative",
-    "max_depth": 1.0,
-    "image_size": 518
-  }
 }

+{
+  "library_name": "zeromodels",
+  "zeromodels_version": "1.2.1",
+  "model_module": "zeromodels.models.depth_anything_v2",
+  "model_class": "DepthAnythingV2DepthEstimation",
+  "variant": "depth_anything_v2_small",
+  "weights": "model.weights.h5",
+  "schema_version": 2,
+  "weight_dtype": "float32",
+  "model_type": "depth_anything",
+  "vision_config": {
+    "backbone_dim": 384,
+    "backbone_depth": 12,
+    "backbone_num_heads": 6,
+    "out_indices": [
+      3,
+      6,
+      9,
+      12
+    ],
+    "neck_hidden_sizes": [
+      48,
+      96,
+      192,
+      384
+    ],
+    "fusion_hidden_size": 64,
+    "reassemble_factors": [
+      4,
+      2,
+      1,
+      0.5
+    ],
+    "depth_estimation_type": "relative",
+    "max_depth": 1.0,
+    "image_size": 518
+  }
 }

kf_preprocessor.json → zm_preprocessor.json RENAMED Viewed

@@ -1,19 +1,19 @@
-{
-  "library_name": "kerasformers",
-  "kerasformers_version": "1.1.3",
-  "preprocessor_module": "kerasformers.models.depth_anything_v2",
-  "preprocessor_class": "DepthAnythingV2ImageProcessor",
-  "variant": "depth_anything_v2_small",
-  "target_size": 518,
-  "image_mean": [
-    0.485,
-    0.456,
-    0.406
-  ],
-  "image_std": [
-    0.229,
-    0.224,
-    0.225
-  ],
-  "data_format": null
 }

+{
+  "library_name": "zeromodels",
+  "zeromodels_version": "1.1.3",
+  "preprocessor_module": "zeromodels.models.depth_anything_v2",
+  "preprocessor_class": "DepthAnythingV2ImageProcessor",
+  "variant": "depth_anything_v2_small",
+  "target_size": 518,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "data_format": null
 }

Migrate to zeromodels (rename kf_*.json -> zm_*.json, fix refs in config + README, ensure tag + badge)

Migrate to zeromodels (rename kf_.json -> zm_.json, fix refs in config + README, ensure tag + badge)