Sync updated code and configs (no weight re-upload)

README.md

@@ -1,20 +1,3 @@
----
-license: mit
-language:
-- en
-tags:
-- remote-sensing
-- earth-observation
-- vision
-- feature-extraction
-- croma
-- sentinel-1
-- sentinel-2
-- multimodal
-library_name: transformers
-pipeline_tag: feature-extraction
----
-
 # CROMA Transformers Models
 
 Self-contained HuggingFace model checkpoints for [CROMA](https://arxiv.org/pdf/2311.00566.pdf). Each subfolder ships its own model, image processor, and custom pipeline code — no external `croma` package required.
@@ -30,6 +13,8 @@ CROMA expects dual-modality Sentinel-1 (2-channel SAR) and Sentinel-2 (12-channe
 
 ## Usage
 
+Processors default to **`do_resize: false`**. CROMA expects SAR `(2, H, W)` and optical `(12, H, W)` at the same native spatial size (120×120 at pretraining; larger sizes work without forced resize).
+
 ```python
 from transformers import pipeline
 
@@ -43,8 +28,8 @@ pipe = pipeline(
 
 import numpy as np
 
-sar = np.random.randn(2, 120, 120).astype(np.float32)
-optical = np.random.randn(12, 120, 120).astype(np.float32)
+sar = np.random.randn(2, 256, 256).astype(np.float32)
+optical = np.random.randn(12, 256, 256).astype(np.float32)
 
 joint_gap = pipe(
     sar_images=sar,
@@ -62,6 +47,19 @@ sar_tokens = pipe(
 )
 ```
 
+Opt in to 120×120 resize:
+
+```python
+joint_gap = pipe(
+    sar_images=sar,
+    optical_images=optical,
+    use_8_bit=True,
+    pool=True,
+    return_tensors=True,
+    image_processor_kwargs={"do_resize": True},
+)
+```
+
 Or load components directly:
 
 ```python

croma-base-patch8-120/image_processing_croma.py

@@ -113,7 +113,7 @@ class CromaImageProcessor(BaseImageProcessor):
 
     def __init__(
         self,
-        do_resize: bool = True,
+        do_resize: bool = False,
         size: Optional[dict[str, int]] = None,
         resample: PILImageResampling = PILImageResampling.BILINEAR,
         do_rescale: bool = True,

croma-base-patch8-120/preprocessor_config.json

@@ -4,7 +4,7 @@
     "height": 120,
     "width": 120
   },
-  "do_resize": true,
+  "do_resize": false,
   "do_rescale": true,
   "do_normalize": true,
   "use_8_bit": true,
@@ -13,4 +13,4 @@
   "auto_map": {
     "AutoImageProcessor": "image_processing_croma.CromaImageProcessor"
   }
-}
+}

croma-large-patch8-120/image_processing_croma.py

@@ -113,7 +113,7 @@ class CromaImageProcessor(BaseImageProcessor):
 
     def __init__(
         self,
-        do_resize: bool = True,
+        do_resize: bool = False,
         size: Optional[dict[str, int]] = None,
         resample: PILImageResampling = PILImageResampling.BILINEAR,
         do_rescale: bool = True,

croma-large-patch8-120/preprocessor_config.json

@@ -4,7 +4,7 @@
     "height": 120,
     "width": 120
   },
-  "do_resize": true,
+  "do_resize": false,
   "do_rescale": true,
   "do_normalize": true,
   "use_8_bit": true,
@@ -13,4 +13,4 @@
   "auto_map": {
     "AutoImageProcessor": "image_processing_croma.CromaImageProcessor"
   }
-}
+}