40 lines
1.4 KiB
Python
40 lines
1.4 KiB
Python
import cv2
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import numpy as np
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from video_cv_tracker import TemporalTracker
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import time
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def extract_cropped_pages(video_path, limit_frames=3000):
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cap = cv2.VideoCapture(video_path)
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tracker = TemporalTracker(diff_threshold=0.20)
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frames_processed = 0
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while frames_processed < limit_frames:
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ret, frame = cap.read()
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if not ret: break
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scale = 1280 / frame.shape[1]
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frame = cv2.resize(frame, (1280, int(frame.shape[0] * scale)))
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# Ultimate flawless crop derived from structural ASCII analysis:
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# 103:280 precisely truncates before the top of the guitarist's head, isolating ONLY sheet music.
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ribbon = frame[103:280, :]
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tracker.process_frame(ribbon)
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frames_processed += 1
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pages = tracker.get_unique_pages()
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cap.release()
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return pages
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if __name__ == "__main__":
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video_path = "output/サカナクション／新宝島(エレキギターTAB) 難易度★★★ sakanaction shintakarajima.mp4"
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pages = extract_cropped_pages(video_path)
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print(f"Extracted {len(pages)} perfectly cropped median pages.")
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if pages:
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# Stack vertically
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final_img = np.vstack(pages)
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cv2.imwrite("C:/Users/Certes/.gemini/antigravity/brain/975cea00-dd68-4689-9ee3-f1a2408b4ee6/restored_perfect_crop.png", final_img)
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print("Saved cleanly cropped vertical stack.")
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