Code de-clutter

image/conversion.py

@@ -66,27 +66,21 @@ def convert_to_gicisky_bytes(img: Image.Image, model: ModelId, lum_threshold: in
     Returns:
         bytes: Processed image data in Gicisky format
     """
-    # Get device specifications
+
     specs = DEVICE_SPECS.get(model)
     if not specs:
         raise ValueError("Unknown model")
 
     width, height = specs.size
-
-    # Resize image to device dimensions
     img = img.convert("RGB").resize((width, height), Image.Resampling.LANCZOS)
 
-    # Apply TFT transformation if enabled
     if specs.tft:
         # Resize to half width and double height
         img = img.resize((width // 2, height * 2), Image.Resampling.LANCZOS)
         width, height = img.size
-
-    # Apply mirroring if enabled
     if specs.mirror:
         img = img.transpose(Image.FLIP_TOP_BOTTOM)
 
-    # Convert to numpy array
     arr = np.array(img)
 
     # Process pixels - column-major order
@@ -99,7 +93,6 @@ def convert_to_gicisky_bytes(img: Image.Image, model: ModelId, lum_threshold: in
             r, g, b = arr[y, x]  # Note: numpy uses [y, x] indexing
             luminance = 0.2126 * r + 0.7152 * g + 0.0722 * b
 
-            # Apply thresholding based on compression setting
             if specs.compression:
                 # When compression is enabled, dark pixels set bits
                 if luminance < lum_threshold:
@@ -125,7 +118,6 @@ def convert_to_gicisky_bytes(img: Image.Image, model: ModelId, lum_threshold: in
         byte_data.append(current_byte)
         red_byte_data.append(current_red_byte)
 
-    # Apply compression if enabled
     if specs.compression:
         byte_data_compressed = _apply_compression(byte_data, red_byte_data, width, height, specs.second_color)
     else:
@@ -156,7 +148,6 @@ def _apply_compression(byte_data: List[int], red_byte_data: List[int],
     byte_per_line = height // 8
     current_pos = 0
 
-    # Process black/white data
     for i in range(width):
         # Add line header
         byte_data_compressed.extend([