new default alphas

Author: EmoTim

analyze_color_shift.py

@@ -68,7 +68,7 @@ def compute_color_statistics(image: np.ndarray) -> Dict:
     Compute comprehensive color statistics for an image.
 
     Returns dict with:
-        - RGB mean, std, skewness, kurtosis per channel
+        - RGB mean, std, skewness per channel
         - LAB mean, std per channel
         - Overall luminance statistics
     """
@@ -80,7 +80,6 @@ def compute_color_statistics(image: np.ndarray) -> Dict:
         stats_dict[f'rgb_{channel}_mean'] = np.mean(channel_data)
         stats_dict[f'rgb_{channel}_std'] = np.std(channel_data)
         stats_dict[f'rgb_{channel}_skewness'] = stats.skew(channel_data)
-        stats_dict[f'rgb_{channel}_kurtosis'] = stats.kurtosis(channel_data)
 
     # LAB statistics
     lab = rgb_to_lab(image)

generate.py

@@ -45,7 +45,7 @@ def num_range(s: str) -> List[int]:
 @click.option('--projected-w', help='Projection result file', type=str, metavar='FILE')
 @click.option('--outdir', help='Where to save the output images', type=str, required=True, metavar='DIR')
 @click.option('--weight-vector', help='Path to weight vector file (.npy)', type=str, metavar='FILE')
-@click.option('--alphas', type=num_range, help='Alpha values for weight modulation (e.g., "-10,0,10" or "-10-10")', default='-10,-5,0,5,10', show_default=True)
+@click.option('--alphas', type=num_range, help='Alpha values for weight modulation (e.g., "-10,0,10" or "-10-10")', default='-10,-5, -2, -1, 0, 1, 2, 5, 10', show_default=True)
 @click.option('--style-range', type=(int, int), help='Range of style blocks to apply weight vector (start, end). Coarse: 0-8, Middle: 4-12, Fine: 12-17. Default: all (0, 17)', default=(0, 17), show_default=True)
 def generate_images(
     ctx: click.Context,