mirror of
https://github.com/Astatin3/vid-to-3d.git
synced 2026-06-08 16:18:01 -06:00
Astatin3
82 lines
2.0 KiB
Python
82 lines
2.0 KiB
Python
import os
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import sys
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import cv2
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import numpy as np
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MINIMUM_SIMILARITY_THRESHOLD = 0.4
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def process_video(video_path, min_similarity, output_folder):
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cap = cv2.VideoCapture(video_path)
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if not cap.isOpened():
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print("Error opening video file")
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return
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prev_frame = None
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kp1, ds1 = None, None
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i = 0
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while cap.isOpened():
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ret, frame = cap.read()
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if not ret: break
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i += 1
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print(f"Frame {i}: ", end='')
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if prev_frame is None:
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kp1, des1 = orb.detectAndCompute(frame, None)
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cv2.imwrite(os.path.join(output_folder, os.path.basename(video_path)+"-"+str(i)+".png"), frame)
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print("Initial frame")
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prev_frame = frame
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continue
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cv2.imshow('Frame', frame)
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similarity = orb_similarity(kp1, des1, frame)
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print(f"Similarity: {similarity}, ", end='')
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if similarity < min_similarity:
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kp1, des1 = orb.detectAndCompute(prev_frame, None)
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if(not os.path.isdir(output_folder)):
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os.mkdir(output_folder)
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cv2.imwrite(os.path.join(output_folder, os.path.basename(video_path)+"-"+str(i)+".png"), prev_frame)
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print("Lost continuity, new match frame")
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else:
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print("Skipped!")
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prev_frame = frame
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if cv2.waitKey(1) == ord('q'): break
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# Release the video capture object and close windows
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cap.release()
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cv2.destroyAllWindows()
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orb = cv2.ORB_create()
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bf = cv2.BFMatcher(cv2.NORM_L1, crossCheck=True)
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def orb_similarity(kp1, des1, img2):
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kp2, des2 = orb.detectAndCompute(img2, None)
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matches = bf.match(des1, des2)
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# try:
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# matches = bf.match(des1, des2)
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# except:
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# return 0.0
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similarity = len(matches) / min(len(kp1), len(kp2))
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return similarity
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if len(sys.argv) != 4:
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print("Usage: python main.py <video file> <min similarity threshold> <output folder>")
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else:
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process_video(sys.argv[1], float(sys.argv[2]), sys.argv[3]) |