import os from collections import Counter import cv2 import glob import re import subprocess import argparse parser = argparse.ArgumentParser() parser.add_argument("-i", "--input_dir", default="./") args = parser.parse_args() def resizeCropInfo(key, cropPos, frame_width, frame_height): def _IsOutOfBound(w, h, x, y): if (w + x) > frame_width or (h + y) > frame_height: return True # Left if key == 0x250000: cropPos[2] -= 1 cropPos[0] += 2 # Up elif key == 0x260000: cropPos[3] -= 1 cropPos[1] += 2 # Right elif key == 0x270000: cropPos[0] -= 2 cropPos[2] += 1 # Down elif key == 0x280000: cropPos[1] -= 2 cropPos[3] += 1 # Num 4 elif key == 52: cropPos[2] -= 1 cropPos[0] -= 1 # Num 8 elif key == 56: cropPos[3] -= 1 cropPos[1] -= 1 # Num 6 elif key == 54: cropPos[0] += 1 cropPos[2] += 1 # Num 2 elif key == 50: cropPos[1] += 1 cropPos[3] += 1 if cropPos[2] < 0 : cropPos[2] = 0 if cropPos[3] < 0 : cropPos[3] = 0 if key > 0: print(cropPos) return cropPos # cropdetect 에서 얻은 정보 => cv2로 그림 그리면서 confirm. # confirm 안되면 w:h:x:y 를 콘솔로 정정할 수 있게 만듦 => 다시 confirm 시도 # confirm 되면 crop 진행 (resize는 일단 보류) # cropinfo 로그로 쓸수 있게 txt로 저장 def main(): vid_paths = sorted(glob.glob(os.path.join(args.input_dir, '*.avi'))) for fpath in vid_paths : vid_name = os.path.basename(fpath) fpath = "01. Group S - I Swear MV.avi" print ("File to detect crop: %s " % fpath) 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) infos = p.stderr.read().decode('utf-8') # print (infos) allCrops = re.findall("crop=\S+", infos) # print ("Crop Infos : ") # print (allCrops) mostCommonCrop = Counter(allCrops).most_common(1) print ("most common crop: %s" % mostCommonCrop) global crop crop = mostCommonCrop[0][0] cropPos = crop.split(":") # delete "crop=" cropPos[0] = cropPos[0][5:] cropPos = [int(x) for x in cropPos] capture = cv2.VideoCapture(fpath) frame_width = capture.get(cv2.CAP_PROP_FRAME_WIDTH) frame_height = capture.get(cv2.CAP_PROP_FRAME_HEIGHT) # play speed : 33ms / frame while True: key = cv2.waitKeyEx(33) # 27 == ESC if key == 27: break resizeCropInfo(key, cropPos, frame_width, frame_height) frame_pos = capture.get(cv2.CAP_PROP_POS_FRAMES) frame_count = capture.get(cv2.CAP_PROP_FRAME_COUNT) if(frame_pos == frame_count): capture.open(vid) ret, frame = capture.read() cv2.rectangle(frame, (cropPos[2],cropPos[3]), (cropPos[2] + cropPos[0],cropPos[3] + cropPos[1]), (0, 0, 255), thickness=1, lineType=cv2.LINE_8) # cv2.rectangle(frame, (4,43), (717,431), (0, 0, 255), thickness=1, lineType=cv2.LINE_8) cv2.imshow(f'{vid_name}', frame) capture.release() cv2.destroyAllWindows() target_width = 960 target_height = 540 # ffmpeg filter args crop_arg = f"crop={cropPos[0]}:{cropPos[1]}:{cropPos[2]}:{cropPos[3]}," print (f"crop={cropPos[0]}:{cropPos[1]}:{cropPos[2]}:{cropPos[3]},") if (target_height / target_height) >= (cropPos[0] / cropPos[1]): tmp_width = target_height * (cropPos[0] / cropPos[1]) scale_arg = f"scale=w={tmp_width}:h={target_height}," else: tmp_height = target_width * (cropPos[1] / cropPos[0]) scale_arg = f"scale=w={target_width}:h={tmp_height}," pad_arg = f"pad={target_width}:{target_height}:(ow-iw)/2:(ih-oh)/2," print("Encoding \"%s\"" %vid_name) if False: 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"]) else: 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"]) if __name__ == "__main__": main()