feat: Integrated Stream asset and Kai animation system

scripts/clean_pipe_stream.py

@@ -0,0 +1,72 @@
+import cv2
+import numpy as np
+import os
+import shutil
+
+def clean_pipe_stream():
+    # Source is the uploaded JPG
+    src_path = '/Users/davidkotnik/.gemini/antigravity/brain/07019d04-a214-43ab-9565-86f4e8f17e5b/uploaded_media_1769607894587.jpg'
+    
+    print(f"Loading {src_path}")
+    img = cv2.imread(src_path)
+    if img is None:
+        print("Failed to load image")
+        return
+
+    # Add Alpha Channel
+    img = cv2.cvtColor(img, cv2.COLOR_BGR2BGRA)
+    
+    # Advanced Background Removal using FloodFill from corners
+    # The background is likely uniform-ish but with JPG noise.
+    # We create a mask initialized with zeros (2 pixels larger than image)
+    h, w = img.shape[:2]
+    mask = np.zeros((h+2, w+2), np.uint8)
+    
+    # Floodfill from (0,0) with a tolerance
+    # LoDiff and UpDiff allow for noise (e.g. +/- 10 in color value)
+    flood_flags = 4 | (255 << 8) | cv2.FLOODFILL_MASK_ONLY | cv2.FLOODFILL_FIXED_RANGE
+    
+    # We need to know the 'seed' color to guess tolerance.
+    seed_color = img[0,0][:3].tolist()
+    print(f"Seed Color at 0,0: {seed_color}")
+    
+    # Run floodFill from top-left
+    # Using a generous tolerance because the background looks like a solid color render but might have gradients/noise
+    cv2.floodFill(img, mask, (0,0), (0,0,0,0), (10,10,10), (10,10,10), flood_flags)
+    
+    # Also try top-right, bottom-left, bottom-right just in case
+    cv2.floodFill(img, mask, (w-1, 0), (0,0,0,0), (10,10,10), (10,10,10), flood_flags)
+    cv2.floodFill(img, mask, (0, h-1), (0,0,0,0), (10,10,10), (10,10,10), flood_flags)
+    cv2.floodFill(img, mask, (w-1, h-1), (0,0,0,0), (10,10,10), (10,10,10), flood_flags)
+    
+    # The 'mask' now contains 255 where the background was found.
+    # Note: floodFill mask is 2 pixels bigger. Crop it back.
+    mask = mask[1:-1, 1:-1]
+    
+    # Set alpha to 0 where mask is set
+    img[mask > 0, 3] = 0
+    
+    # Crop the image to the actual content (non-transparent parts)
+    # Find bounding box of alpha > 0
+    coords = cv2.findNonZero(img[:,:,3]) # Points where alpha is NOT 0
+    if coords is not None:
+        x, y, cw, ch = cv2.boundingRect(coords)
+        print(f"Cropping to: {x},{y} {cw}x{ch}")
+        img = img[y:y+ch, x:x+cw]
+        
+    # Destinations
+    targets = [
+        '/Users/davidkotnik/repos/novafarma/main/assets',
+        '/Users/davidkotnik/repos/novafarma/assets/DEMO_FAZA1/Environment'
+    ]
+    
+    dest_name = 'stream_pipe.png'
+    
+    for t in targets:
+        if not os.path.exists(t): os.makedirs(t, exist_ok=True)
+        final_path = os.path.join(t, dest_name)
+        cv2.imwrite(final_path, img)
+        print(f"Saved cleaned asset to {final_path}")
+
+if __name__ == "__main__":
+    clean_pipe_stream()