Files
Cropper/pillar_detection.py
T

120 lines
5.3 KiB
Python

from pillar_detection_utils import *
from pillar_detection_core import *
parser = argparse.ArgumentParser()
# file path options
parser.add_argument("-i", "--input_dir", default="./input", help="Input source vid directory")
parser.add_argument("-o", "--output_dir", default="./out", help="Output vid directory")
# ffmpeg encoding option
parser.add_argument("-c", "--crf", default=18, type=int, help="set crf level")
parser.add_argument("-fps", '-fr', "--frame_rate", default=-1, type=float, help="if minus value, same fps as input")
parser.add_argument("-uhd", "--uhd_output", default=False, action="store_true", help="set output resolution to 3840:2160")
parser.add_argument("-lb", "--add_letterbox", default=False, action="store_true", help="add letterbox to make 16:9 ratio")
parser.add_argument("-sp", "--add_sharpening", default=False, action="store_true", help="add ffmpeg sharpening filter")
# program option
parser.add_argument("-mul", "--multi_encoding", default=2, type=int, help="when log file exist, encoding mutiple videos by this args")
parser.add_argument("-d", "--debug", default=False, action="store_true", help="for debugging. (short length video output)")
# logfile option
parser.add_argument("-s", "--cropsize_scale", default=1, type=int, help="before use crop size from logfile, scale up the crop size (for reuse when vid rescaled)")
parser.add_argument("-log", "--only_logfile", default=False, action="store_true", help="large vid mode. (only write log file.)")
parser.add_argument("-manual", "--manual_mode", default=False, action="store_true", help="manual cropping without using log file (Ignore log files)")
parser.add_argument("-edit", "--edit_mode", default=False, action="store_true", help="get first crop area from log file")
args = parser.parse_args()
# option when only write log file (no encoding) : -log
# options when only edit log file that already exists (no encoding) : -log -edit
def main():
vid_types = ('*.avi', '*.mov', '*.mp4', '*.mxf')
manual_mode = args.manual_mode
edit_mode = args.edit_mode
input_dir = args.input_dir
output_dir = args.output_dir
logs_dir = input_dir
if args.cropsize_scale < 1 :
print(f"[!!! ERROR !!!]\t Invalid scale option [scale : {args.cropsize_scale}]")
return
elif args.multi_encoding < 1 :
print(f"[!!! WARRNING !!!]\t \"multi_encoding\" option should be more then 0 [multi_encoding : {args.multi_encoding}]")
return
input_list = []
for types in vid_types :
input_list += glob.glob(os.path.join(input_dir, types))
input_list = sorted(input_list)
print("[INFO]\t Input dir :", input_dir)
print("[INFO]\t Ouput dir :", output_dir)
print("")
# for specific file process (use "/" not "\")
# input_dir = "Y:/Pixtree-NDA/SME/20211209_3차우선순위/output-20211222/source/"
# input_list = [
# os.path.join(input_dir, "01. 샤이니_누난너무예뻐 MV_xfm_dec_ver3_edit.mov")
# ]
crop_cfg = VideoCropCfg()
for vid_index, fpath in enumerate(input_list):
vid_name = os.path.basename(fpath)[:-4]
vid_num = len(input_list)
log_path = f"{logs_dir}/{vid_name}.txt"
print(f"[INFO]\t [Video num : {vid_index + 1} / {vid_num}]")
print("[INFO]\t File path: ", fpath)
print("[INFO]\t Log dir :", logs_dir)
# init crop configuration class
# crop_cfg = VideoCropCfg()
crop_cfg.vid_name = vid_name
# Read log file if exist
if not manual_mode:
cropPos, edit_mode, manual_mode = parseLog(log_path, edit_mode, manual_mode, args.cropsize_scale)
if manual_mode or edit_mode:
# Capture vid, Get Vid info
crop_cfg.getVidInfo(fpath)
if edit_mode:
print("[INFO]\t (Edit mode) Read crop area from log file...")
print(f"[INFO]\t Crop area from log file: [w : {cropPos[0]}, h : {cropPos[1]}, x : {cropPos[2]}, y : {cropPos[3]}]")
else :
cropPos = autoDetectCropArea(fpath)
# Crop Area validation check (width, height must be even number)
if cropPos == []:
cropPos = [crop_cfg.frame_width, crop_cfg.frame_height, 0, 0]
cropPos = adjustCropArea(cropPos, crop_cfg.frame_width, crop_cfg.frame_height)
cv2.namedWindow(f'{vid_name}', cv2.WINDOW_NORMAL | cv2.WINDOW_KEEPRATIO)
# Display crop size control UI
while True:
retCode, cropPos = videoCropping(crop_cfg, cropPos)
if retCode == 1:
break
elif retCode == 2:
crop_cfg.getVidInfo(fpath)
continue
elif retCode == 3:
print("")
return
print("")
crop_cfg.vidRelease()
cv2.destroyAllWindows()
if not crop_cfg.isSkipped:
writeLog(logs_dir, log_path, cropPos)
# Set ffmpeg commands, actual ffmpeg encoding
if not (args.only_logfile or crop_cfg.isSkipped):
retCode = ffmpegEncoding(args, vid_index, vid_num, cropPos, vid_name, fpath, crop_cfg.ffmpeg_process)
if retCode < 0 :
return retCode
if __name__ == "__main__":
main()
print(f"\r\n Program End. end time : {getTime('string')}")