53 lines
2.0 KiB
Python
53 lines
2.0 KiB
Python
import cv2
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import numpy as np
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import os
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def clean_pipe_stream_gentle():
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src_path = '/Users/davidkotnik/.gemini/antigravity/brain/07019d04-a214-43ab-9565-86f4e8f17e5b/uploaded_media_1769607894587.jpg'
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print(f"Loading {src_path}")
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img = cv2.imread(src_path)
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if img is None: return
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# 1. Standard Separation (GrabCut) - keeps everything (Pipe, Stream, Walls, Banks)
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mask = np.zeros(img.shape[:2], np.uint8)
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bgdModel = np.zeros((1,65),np.float64)
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fgdModel = np.zeros((1,65),np.float64)
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h, w = img.shape[:2]
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cv2.grabCut(img, mask, (10, 10, w-20, h-20), bgdModel, fgdModel, 5, cv2.GC_INIT_WITH_RECT)
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mask_final = np.where((mask==2)|(mask==0),0,1).astype('uint8')
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# Not doing any aggressive "Wall Removal" logic now, because it ate the banks.
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# Instead, we rely on the fact that GrabCut should just remove the GRAY background.
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# The walls will remain. To fit them better, we can manually crop the BOTTOM few pixels if needed.
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# 2. Fix Drain Hole (Make Black if it's transparent)
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# Actually, let's just make the hole Area Opaque regardless.
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# Assuming drain is separate dark region? No, it's connected.
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# Let's clean up small holes in the mask so the drain grate isn't see-through.
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kernel = np.ones((5,5),np.uint8)
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mask_final = cv2.morphologyEx(mask_final, cv2.MORPH_CLOSE, kernel)
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# 3. Create Alpha
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b, g, r = cv2.split(img)
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alpha = mask_final * 255
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img_rgba = cv2.merge([b, g, r, alpha])
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# Crop
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coords = cv2.findNonZero(alpha)
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if coords is not None:
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x, y, cw, ch = cv2.boundingRect(coords)
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img_rgba = img_rgba[y:y+ch, x:x+cw]
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# Save
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targets = [
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'/Users/davidkotnik/repos/novafarma/main/assets/stream_pipe.png',
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'/Users/davidkotnik/repos/novafarma/assets/DEMO_FAZA1/Environment/stream_pipe.png'
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]
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for t in targets:
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cv2.imwrite(t, img_rgba)
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print(f"Saved {t}")
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if __name__ == "__main__":
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clean_pipe_stream_gentle()
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