init
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import os
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from collections import Counter
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import cv2
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import glob
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import re
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import subprocess
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import argparse
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parser = argparse.ArgumentParser()
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parser.add_argument("-i", "--input_dir", default="./")
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args = parser.parse_args()
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# cropdetect 에서 얻은 정보 => cv2로 그림 그리면서 confirm.
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# confirm 안되면 w:h:x:y 를 콘솔로 정정할 수 있게 만듦 => 다시 confirm 시도
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# confirm 되면 crop 진행 (resize는 일단 보류)
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# cropinfo 로그로 쓸수 있게 txt로 저장
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def main():
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# fpath = "01.mp4"
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fpath = "01. Group S - I Swear MV.avi"
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print ("File to detect crop: %s " % fpath)
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p = subprocess.Popen(["ffmpeg", "-ss", "30", "-i", fpath, "-vf", "cropdetect=limit=38:reset=30", "-vframes", "500", "-f", "rawvideo", "-y", "cropPos.mp4"], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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infos = p.stderr.read().decode('utf-8')
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# print (infos)
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# allCrops = re.findall(CROP_DETECT_LINE + ".*", infos)
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allCrops = re.findall("crop=\S+", infos)
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# print ("Crop Infos : ")
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# print (allCrops)
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mostCommonCrop = Counter(allCrops).most_common(1)
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print ("most common crop: %s" % mostCommonCrop)
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global crop
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crop = mostCommonCrop[0][0]
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cropPos = crop.split(":")
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# delete "crop="
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cropPos[0] = cropPos[0][5:]
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cropPos = [int(x) for x in cropPos]
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vid_name = os.path.basename(fpath)
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capture = cv2.VideoCapture(fpath)
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# play speed : 33ms / frame
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while True:
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key = cv2.waitKeyEx(33)
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# 27 : ESC
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if key == 27:
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break
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# Left
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elif key == 0x250000:
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cropPos[2] -= 1
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cropPos[0] += 2
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print(cropPos)
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# Up
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elif key == 0x260000:
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cropPos[3] -= 1
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cropPos[1] += 2
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print(cropPos)
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# Right
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elif key == 0x270000:
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cropPos[0] -= 2
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cropPos[2] += 1
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print(cropPos)
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# Down
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elif key == 0x280000:
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cropPos[1] -= 2
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cropPos[3] += 1
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print(cropPos)
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# Num 4
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elif key == 52:
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cropPos[2] -= 1
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cropPos[0] -= 1
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print(cropPos)
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# Num 8
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elif key == 56:
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cropPos[3] -= 1
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cropPos[1] -= 1
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print(cropPos)
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# Num 6
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elif key == 54:
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cropPos[0] += 1
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cropPos[2] += 1
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print(cropPos)
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# Num 2
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elif key == 50:
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cropPos[1] += 1
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cropPos[3] += 1
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print(cropPos)
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frame_pos = capture.get(cv2.CAP_PROP_POS_FRAMES)
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frame_count = capture.get(cv2.CAP_PROP_FRAME_COUNT)
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if(frame_pos == frame_count):
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capture.open(vid)
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ret, frame = capture.read()
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cv2.rectangle(frame, (cropPos[2],cropPos[3]), (cropPos[2] + cropPos[0],cropPos[3] + cropPos[1]), (0, 0, 255), thickness=1, lineType=cv2.LINE_8)
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# cv2.rectangle(frame, (2,45), (720,431), (0, 0, 255), thickness=1, lineType=cv2.LINE_8)
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cv2.imshow(f'{vid_name}', frame)
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capture.release()
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cv2.destroyAllWindows()
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p = subprocess.Popen(["ffplay", "-i", fpath, "-vf", f"crop={cropPos[0]}:{cropPos[1]}:{cropPos[2]}:{cropPos[3]}"], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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if __name__ == "__main__":
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main()
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