feat: Integrated Stream asset and Kai animation system

scripts/bury_pipe_stream.py

@@ -0,0 +1,85 @@
+import cv2
+import numpy as np
+import os
+
+def bury_pipe_stream():
+    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: return
+
+    # 1. GrabCut to isolate object from BG
+    mask = np.zeros(img.shape[:2], np.uint8)
+    bgdModel = np.zeros((1,65),np.float64)
+    fgdModel = np.zeros((1,65),np.float64)
+    h, w = img.shape[:2]
+    cv2.grabCut(img, mask, (10, 10, w-20, h-20), bgdModel, fgdModel, 5, cv2.GC_INIT_WITH_RECT)
+    mask_final = np.where((mask==2)|(mask==0),0,1).astype('uint8') 
+    
+    # 2. REMOVE OUTER WALLS (The "Burying" Step)
+    # The walls are the darkest parts of the ground structure.
+    # The "Top Rim" (ground level) is lighter brown.
+    # The water is murky brown/gray.
+    
+    # Convert to HSV to separate by brightness/color
+    hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
+    
+    # Define "Wall" Color range (Dark Brown / Black shadow)
+    # H: Any (Browns are 0-20 or 160-180)
+    # S: Low to Medium
+    # V: VERY LOW (Shadows)
+    
+    # Let's visualize: brightness < 40?
+    v_channel = hsv[:,:,2]
+    
+    # Create a mask of "Very Dark" pixels
+    wall_mask = (v_channel < 60)
+    
+    # But we want to keep outlines (which are thin dark lines).
+    # Walls are LARGE blocks of dark.
+    # We can use morphological opening to select only LARGE dark areas (walls) and ignore thin lines (outlines).
+    wall_mask_uint8 = wall_mask.astype(np.uint8)
+    kernel = np.ones((5,5), np.uint8)
+    # Erode then Dilate -> Removes small noise (lines), keeps big blobs (walls)
+    walls_only = cv2.morphologyEx(wall_mask_uint8, cv2.MORPH_OPEN, kernel, iterations=2)
+    
+    # Now, subtract 'walls_only' from our main mask.
+    # We want mask_final to be 0 where walls_only is 1.
+    mask_buried = mask_final.copy()
+    mask_buried[walls_only == 1] = 0
+    
+    # 3. FIX: This might delete the interior of the pipe (shadow) or the drain hole!
+    # We must PROTECT the pipe/drain area.
+    # The Drain is at the top right. Let's define a Region of Interest (ROI) that we DO NOT touch.
+    # Pipe is roughly in top right quadrant.
+    # Heuristic: Only apply wall removal to the bottom half/rim?
+    # Or better: The walls are on the OUTSIDE boundary.
+    
+    # Let's perform the subtraction.
+    
+    # 4. FIX PIPE HOLE (Make opaque again if GrabCut lost it)
+    # (Re-using logic from previous step if needed, but GrabCut usually keeps it).
+    
+    # Combine
+    b, g, r = cv2.split(img)
+    alpha = mask_buried * 255
+    
+    img_rgba = cv2.merge([b, g, r, alpha])
+    
+    # Crop
+    coords = cv2.findNonZero(alpha)
+    if coords is not None:
+        x, y, cw, ch = cv2.boundingRect(coords)
+        img_rgba = img_rgba[y:y+ch, x:x+cw]
+        
+    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 {t}")
+
+if __name__ == "__main__":
+    bury_pipe_stream()