feat: Integrated Stream asset and Kai animation system

2026-01-29 00:09:00 +01:00
parent 94565adffc
commit afa0e3c662
59 changed files with 1477 additions and 19 deletions
--- a/scripts/clean_pipe_stream_v2.py
+++ b/scripts/clean_pipe_stream_v2.py
@@ -0,0 +1,62 @@
+import cv2
+import numpy as np
+import os
+
+def clean_pipe_stream_v2():
+    src_path = '/Users/davidkotnik/.gemini/antigravity/brain/07019d04-a214-43ab-9565-86f4e8f17e5b/uploaded_media_1769607894587.jpg'
+    
+    print(f"Loading {src_path}")
+    img_bgr = cv2.imread(src_path) # Load as BGR (3 channels) first for floodFill
+    if img_bgr is None:
+        print("Failed")
+        return
+
+    # Create mask for floodFill (h+2, w+2)
+    h, w = img_bgr.shape[:2]
+    mask = np.zeros((h+2, w+2), np.uint8)
+    
+    # Flags: Fixed range, result in mask, fill with something (doesn't matter for mask-only)
+    # The mask will be updated with 1s where filled.
+    flood_flags = 4 | (255 << 8) | cv2.FLOODFILL_MASK_ONLY | cv2.FLOODFILL_FIXED_RANGE
+    
+    # Seed points (Corners)
+    # Tolerance: +/- 15
+    lo_diff = (15, 15, 15)
+    up_diff = (15, 15, 15)
+    
+    cv2.floodFill(img_bgr, mask, (0,0), 0, lo_diff, up_diff, flood_flags)
+    cv2.floodFill(img_bgr, mask, (w-1,0), 0, lo_diff, up_diff, flood_flags)
+    cv2.floodFill(img_bgr, mask, (0,h-1), 0, lo_diff, up_diff, flood_flags)
+    
+    # Extract the mask corresponding to the image (remove border)
+    # The mask has 255 where BG was found.
+    alpha_mask = mask[1:-1, 1:-1]
+    
+    # Invert mask: We want 255 (Opaque) where it is NOT background (0 in mask)
+    # Background (255 in mask) -> Should be 0 (Transparent)
+    # Foreground (0 in mask) -> Should be 255 (Opaque)
+    final_alpha = cv2.bitwise_not(alpha_mask)
+    
+    # Create valid RGBA image
+    b, g, r = cv2.split(img_bgr)
+    img_rgba = cv2.merge([b, g, r, final_alpha])
+    
+    # Crop
+    coords = cv2.findNonZero(final_alpha)
+    if coords is not None:
+        x, y, cw, ch = cv2.boundingRect(coords)
+        print(f"Cropping to: {x},{y} {cw}x{ch}")
+        img_rgba = img_rgba[y:y+ch, x:x+cw]
+    
+    # Save
+    targets = [
+        '/Users/davidkotnik/repos/novafarma/main/assets/stream_pipe.png',
+        '/Users/davidkotnik/repos/novafarma/assets/DEMO_FAZA1/Environment/stream_pipe.png'
+    ]
+    
+    for t in targets:
+        cv2.imwrite(t, img_rgba)
+        print(f"Saved to {t}")
+
+if __name__ == "__main__":
+    clean_pipe_stream_v2()