Way too much logging on blend horizontal

src/stitching_scanner.py

@@ -159,49 +159,174 @@ class StitchingScanner:
     
     def _blend_horizontal(self, base: np.ndarray, strip: np.ndarray, 
                       blend_width: int, append_right: bool) -> np.ndarray:
+        self.log(f"=== _blend_horizontal ===")
+        self.log(f"  base.shape: {base.shape}, strip.shape: {strip.shape}")
+        self.log(f"  blend_width: {blend_width}, append_right: {append_right}")
+        
         if blend_width <= 0 or blend_width >= strip.shape[1]:
+            self.log(f"  Early exit: blend_width out of range")
             if append_right:
                 return np.hstack([base, strip])
             return np.hstack([strip, base])
         
         h_base, w_base = base.shape[:2]
         h_strip, w_strip = strip.shape[:2]
-        self.log(f"Base Width: {w_base}px")
+        
+        # Check for channel dimension
+        c_base = base.shape[2] if len(base.shape) > 2 else 1
+        c_strip = strip.shape[2] if len(strip.shape) > 2 else 1
+        self.log(f"  h_base: {h_base}, w_base: {w_base}, channels_base: {c_base}")
+        self.log(f"  h_strip: {h_strip}, w_strip: {w_strip}, channels_strip: {c_strip}")
         
         if h_strip != h_base:
+            self.log(f"  WARNING: Height mismatch! h_base={h_base}, h_strip={h_strip}")
             if append_right:
                 return np.hstack([base, strip])
             return np.hstack([strip, base])
         
+        if c_base != c_strip:
+            self.log(f"  ERROR: Channel mismatch! c_base={c_base}, c_strip={c_strip}")
+        
         blend_w = min(blend_width, w_strip, w_base)
+        self.log(f"  blend_w (clamped): {blend_w}")
         
         if append_right:
             result_width = w_base + w_strip - blend_w
+            self.log(f"  result_width: {result_width} = {w_base} + {w_strip} - {blend_w}")
+            
             result = np.zeros((h_base, result_width, 3), dtype=np.uint8)
+            self.log(f"  result.shape: {result.shape}")
+            
+            # Step 1: Copy base
+            self.log(f"  Step 1: result[:, :w_base] = base  ->  result[:, :{w_base}]")
+            try:
                 result[:, :w_base] = base
+            except Exception as e:
+                self.log(f"  ERROR Step 1: {e}")
+                raise
+            
+            # Step 2: Create alpha and overlaps
+            self.log(f"  Step 2: Creating overlaps")
+            self.log(f"    base_overlap = base[:, -{blend_w}:]  ->  base[:, {w_base - blend_w}:]")
+            self.log(f"    strip_overlap = strip[:, :{blend_w}]")
             
             alpha = np.linspace(1, 0, blend_w, dtype=np.float32)[np.newaxis, :, np.newaxis]
-            base_overlap = base[:, -blend_w:].astype(np.float32)
+            self.log(f"    alpha.shape: {alpha.shape}")
-            strip_overlap = strip[:, :blend_w].astype(np.float32)
-            blended = (base_overlap * alpha + strip_overlap * (1 - alpha)).astype(np.uint8)
             
+            try:
+                base_overlap = base[:, -blend_w:].astype(np.float32)
+                self.log(f"    base_overlap.shape: {base_overlap.shape}")
+            except Exception as e:
+                self.log(f"  ERROR base_overlap: {e}")
+                raise
+            
+            try:
+                strip_overlap = strip[:, :blend_w].astype(np.float32)
+                self.log(f"    strip_overlap.shape: {strip_overlap.shape}")
+            except Exception as e:
+                self.log(f"  ERROR strip_overlap: {e}")
+                raise
+            
+            # Step 3: Blend
+            self.log(f"  Step 3: Blending")
+            try:
+                blended = (base_overlap * alpha + strip_overlap * (1 - alpha)).astype(np.uint8)
+                self.log(f"    blended.shape: {blended.shape}")
+            except Exception as e:
+                self.log(f"  ERROR blending: {e}")
+                raise
+            
+            # Step 4: Assign blended region
+            self.log(f"  Step 4: result[:, {w_base - blend_w}:{w_base}] = blended")
+            try:
                 result[:, w_base - blend_w:w_base] = blended
-            result[:, w_base:] = strip[:, blend_w:]
+            except Exception as e:
+                self.log(f"  ERROR Step 4: {e}")
+                self.log(f"    Slice size: [:, {w_base - blend_w}:{w_base}] = {w_base - (w_base - blend_w)} cols")
+                self.log(f"    blended.shape: {blended.shape}")
+                raise
+            
+            # Step 5: Assign remainder of strip
+            self.log(f"  Step 5: result[:, {w_base}:] = strip[:, {blend_w}:]")
+            try:
+                remainder = strip[:, blend_w:]
+                self.log(f"    remainder.shape: {remainder.shape}")
+                self.log(f"    target slice width: {result_width - w_base}")
+                result[:, w_base:] = remainder
+            except Exception as e:
+                self.log(f"  ERROR Step 5: {e}")
+                raise
+            
+            self.log(f"  Success! Returning result.shape: {result.shape}")
             return result
-        else:
+        
+        else:  # append_left
             result_width = w_base + w_strip - blend_w
+            self.log(f"  result_width: {result_width} = {w_base} + {w_strip} - {blend_w}")
+            
             result = np.zeros((h_base, result_width, 3), dtype=np.uint8)
+            self.log(f"  result.shape: {result.shape}")
+            
+            # Step 1: Copy strip
+            self.log(f"  Step 1: result[:, :w_strip] = strip  ->  result[:, :{w_strip}]")
+            try:
                 result[:, :w_strip] = strip
+            except Exception as e:
+                self.log(f"  ERROR Step 1: {e}")
+                raise
+            
+            # Step 2: Create alpha and overlaps
+            self.log(f"  Step 2: Creating overlaps")
+            self.log(f"    strip_overlap = strip[:, -{blend_w}:]  ->  strip[:, {w_strip - blend_w}:]")
+            self.log(f"    base_overlap = base[:, :{blend_w}]")
             
             alpha = np.linspace(0, 1, blend_w, dtype=np.float32)[np.newaxis, :, np.newaxis]
+            self.log(f"    alpha.shape: {alpha.shape}")
+            
+            try:
                 strip_overlap = strip[:, -blend_w:].astype(np.float32)
+                self.log(f"    strip_overlap.shape: {strip_overlap.shape}")
+            except Exception as e:
+                self.log(f"  ERROR strip_overlap: {e}")
+                raise
+            
+            try:
                 base_overlap = base[:, :blend_w].astype(np.float32)
+                self.log(f"    base_overlap.shape: {base_overlap.shape}")
+            except Exception as e:
+                self.log(f"  ERROR base_overlap: {e}")
+                raise
+            
+            # Step 3: Blend
+            self.log(f"  Step 3: Blending")
+            try:
                 blended = (strip_overlap * (1 - alpha) + base_overlap * alpha).astype(np.uint8)
+                self.log(f"    blended.shape: {blended.shape}")
+            except Exception as e:
+                self.log(f"  ERROR blending: {e}")
+                raise
             
+            # Step 4: Assign blended region
+            self.log(f"  Step 4: result[:, {w_strip - blend_w}:{w_strip}] = blended")
+            try:
                 result[:, w_strip - blend_w:w_strip] = blended
-            result[:, w_strip:] = base[:, blend_w:]
+            except Exception as e:
-            return result
+                self.log(f"  ERROR Step 4: {e}")
+                raise
             
+            # Step 5: Assign remainder of base
+            self.log(f"  Step 5: result[:, {w_strip}:] = base[:, {blend_w}:]")
+            try:
+                remainder = base[:, blend_w:]
+                self.log(f"    remainder.shape: {remainder.shape}")
+                self.log(f"    target slice width: {result_width - w_strip}")
+                result[:, w_strip:] = remainder
+            except Exception as e:
+                self.log(f"  ERROR Step 5: {e}")
+                raise
+            
+            self.log(f"  Success! Returning result.shape: {result.shape}")
+            return result
     def _blend_vertical_at_x(self, base: np.ndarray, strip: np.ndarray,
                          blend_height: int, append_below: bool,
                          x_off: int = 0) -> np.ndarray: