fix: correct resize dimension order for non-square images

fastembed/image/transform/functional.py

@@ -98,7 +98,8 @@ def resize(
     resample: int | Image.Resampling = Image.Resampling.BILINEAR,
 ) -> Image.Image:
     if isinstance(size, tuple):
-        return image.resize(size, resample)
+        height, width = size
+        return image.resize((width, height), resample)  
 
     height, width = image.height, image.width
     short, long = (width, height) if width <= height else (height, width)

tests/test_image_onnx_embeddings.py

@@ -173,3 +173,24 @@ def test_session_options(model_cache, model_name) -> None:
         model = ImageEmbedding(model_name=model_name, enable_cpu_mem_arena=False)
         session_options = model.model.model.get_session_options()
         assert session_options.enable_cpu_mem_arena is False
+
+def test_resize_dimension_order():
+     from PIL import Image
+     from fastembed.image.transform.operators import Resize
+
+     # Define target dimensions: Height=100, Width=200
+     # FastEmbed's Resize transform semantically expects (height, width)
+     target_height, target_width = 100, 200
+     resizer = Resize(size=(target_height, target_width))
+
+        # Create a square 50x50 dummy image
+     img = Image.new("RGB", (50, 50))
+
+        # Apply Resize transform (expects list, returns list)
+     resized_img = resizer([img])[0]
+
+        # PIL's image.size property returns (width, height)
+        # Buggy: produces (100, 200) -> width=100, height=200
+        # Correct: should produce (200, 100) -> width=200, height=100
+     assert resized_img.size == (target_width, target_height), \
+        f"Expected size (W={target_width}, H={target_height}), but got {resized_img.size}"