143 lines
4.7 KiB
Python
143 lines
4.7 KiB
Python
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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def resizeCropInfo(key, cropPos, frame_width, frame_height):
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def _IsOutOfBound(w, h, x, y):
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if (w + x) > frame_width or (h + y) > frame_height:
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return True
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# Left
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if key == 0x250000:
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cropPos[2] -= 1
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cropPos[0] += 2
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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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# 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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# 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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# 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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# 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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# 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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# 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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if cropPos[2] < 0 :
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cropPos[2] = 0
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if cropPos[3] < 0 :
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cropPos[3] = 0
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if key > 0:
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print(cropPos)
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return cropPos
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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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vid_paths = sorted(glob.glob(os.path.join(args.input_dir, '*.avi')))
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for fpath in vid_paths :
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vid_name = os.path.basename(fpath)
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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", "1500", "-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=\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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capture = cv2.VideoCapture(fpath)
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frame_width = capture.get(cv2.CAP_PROP_FRAME_WIDTH)
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frame_height = capture.get(cv2.CAP_PROP_FRAME_HEIGHT)
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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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resizeCropInfo(key, cropPos, frame_width, frame_height)
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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, (4,43), (717,431), (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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target_width = 960
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target_height = 540
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# ffmpeg filter args
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crop_arg = f"crop={cropPos[0]}:{cropPos[1]}:{cropPos[2]}:{cropPos[3]},"
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print (f"crop={cropPos[0]}:{cropPos[1]}:{cropPos[2]}:{cropPos[3]},")
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if (target_height / target_height) >= (cropPos[0] / cropPos[1]):
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tmp_width = target_height * (cropPos[0] / cropPos[1])
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scale_arg = f"scale=w={tmp_width}:h={target_height},"
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else:
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tmp_height = target_width * (cropPos[1] / cropPos[0])
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scale_arg = f"scale=w={target_width}:h={tmp_height},"
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pad_arg = f"pad={target_width}:{target_height}:(ow-iw)/2:(ih-oh)/2,"
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print("Encoding \"%s\"" %vid_name)
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if False:
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p = subprocess.Popen(["ffmpeg", "-i", fpath, "-vf", crop_arg + scale_arg + pad_arg + "setsar=sar=1", "-y", "-pix_fmt", "yuv420p", "-c:v", "libx264", "-crf", "15", "-preset", "medium","-loglevel", "error", f"_{vid_name}_cropped.mp4"])
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else:
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p = subprocess.Popen(["ffmpeg", "-t", "15", "-ss", "30", "-i", fpath, "-vf", crop_arg + scale_arg + pad_arg + "setsar=sar=1", "-y", "-pix_fmt", "yuv420p", "-c:v", "libx264", "-crf", "15", "-preset", "medium","-loglevel", "error", f"_{vid_name}_cropped.mp4"])
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if __name__ == "__main__":
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main() |