make texture bettter

sorghum_pipeline/data/preprocessor.py

@@ -23,10 +23,10 @@ class ImagePreprocessor:
     
     def process_raw_image(self, pil_img: Image.Image) -> Tuple[np.ndarray, Dict[str, np.ndarray]]:
         """Split the 4-band RAW into tiles and build composite + spectral stack."""
-        # Downsample for 2x speed
+        # Keep high resolution for better texture quality (1536x1536 max)
         w, h = pil_img.size
-        if w > 768 or h > 768:
-            scale = 768 / max(w, h)
+        if w > 1536 or h > 1536:
+            scale = 1536 / max(w, h)
             pil_img = pil_img.resize((int(w * scale), int(h * scale)), Image.BILINEAR)
         
         d = pil_img.size[0] // 2

sorghum_pipeline/pipeline.py

@@ -268,16 +268,16 @@ class SorghumPipeline:
             pdata['texture_features'] = {}
             spectral = pdata.get('spectral_stack', {})
             
-            # Compute texture on green band with good quality (256x256)
+            # Compute texture on green band with high quality (512x512)
             if 'green' in spectral:
                 green_band = np.asarray(spectral['green'], dtype=np.float64)
                 if green_band.ndim == 3 and green_band.shape[-1] == 1:
                     green_band = green_band[..., 0]
 
-                # Downsample to 256x256 for good texture quality
+                # Downsample to 512x512 for high texture quality
                 h, w = green_band.shape[:2]
-                if h > 256 or w > 256:
-                    scale = 256 / max(h, w)
+                if h > 512 or w > 512:
+                    scale = 512 / max(h, w)
                     green_band = cv2.resize(green_band, None, fx=scale, fy=scale, interpolation=cv2.INTER_LINEAR)
                     if mask is not None:
                         mask_resized = cv2.resize(mask, (green_band.shape[1], green_band.shape[0]), interpolation=cv2.INTER_NEAREST)