131 lines
5.2 KiB
Python
Executable File
131 lines
5.2 KiB
Python
Executable File
'''
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author ： Hatcher W huimin
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Email： hcwang@semi.ac.cn
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use: 目标检测视频处理
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input:需要处理的视频路径
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output：avi后缀的视频处理结果
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'''
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import glob
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import os
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import time
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import torch
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from PIL import Image
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from vizer.draw import draw_boxes
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from ssd.config import cfg
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from ssd.data.datasets import COCODataset, VOCDataset
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import argparse
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import numpy as np
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from ssd.data.transforms import build_transforms
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from ssd.modeling.detector import build_detection_model
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from ssd.utils import mkdir
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from ssd.utils.checkpoint import CheckPointer
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from detection import main
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from vediotoima import vedio_img
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from imatovideo import images_to_video,images_to_video_big
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from moviepy.editor import *
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import os
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os.environ['CUDA_VISIBLE_DEVICES'] = '2'
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def parse_args():
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parser = argparse.ArgumentParser(description='Detection Video to Video')
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parser.add_argument(
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"--config-file",
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default="ssd/config/hat-512.yaml",
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metavar="FILE",
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help="path to config file",
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type=str,
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)
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parser.add_argument("--ckpt", type=str, default="../data_MPKFNet/weigth/detection/detection.pth",
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help="Trained weights.")
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parser.add_argument("--score_threshold", type=float, default=0.3)
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parser.add_argument("--video_name", default='000120210501080936.mp4', type=str, help='Video name.')
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parser.add_argument("--images_dir", default='../data_MPKFNet/result_raw/yang/', type=str,
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help='Specify a image dir to do prediction.')
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parser.add_argument("--output_dir", default='../data_MPKFNet/result/yangd/', type=str,
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help='Specify a image dir to save predicted images.')
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parser.add_argument("--dataset_type", default="voc", type=str,
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help='Specify dataset type. Currently support voc and coco.')
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parser.add_argument(
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"opts",
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help="Modify config options using the command-line",
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default=None,
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nargs=argparse.REMAINDER,
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)
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args = parser.parse_args()
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return args
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# if __name__ == '__main__':
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# args = parse_args()
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# path = "/data/Hatcher/output1/"
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# pathlists = os.listdir(path)
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# for pathlist in pathlists:
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# if os.path.exists('../data_MPKFNet/rawdata/' + pathlist + ".mp4"):
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# print(pathlist," is skipping")
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# continue
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# print(pathlist," is starting")
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# L = []
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# for root, dirs, files in os.walk(os.path.join(path,pathlist)):
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# files.sort()
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# for file in files:
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# if os.path.splitext(file)[1] in [".avi",".mp4"]:
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# filepath = os.path.join(root, file)
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# video = VideoFileClip(filepath)
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# L.append(video)
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# if len(L) == 0:
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# continue
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# final_clip = concatenate_videoclips(L)
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# final_clip.to_videofile(os.path.join('../data_MPKFNet/rawdata/', "{}.mp4".format(pathlist)), fps=25, remove_temp=False)
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# video_name_path = pathlist
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# video_name_path = video_name_path.replace(".MP4", "").replace(".mp4", "").replace(".MOV", "").replace(".mov", "")
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# RawVideoFilename = '../data_MPKFNet/rawdata/' + video_name_path + ".mp4"
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# RawVideoExtrationSavedpath = '../data_MPKFNet/result_raw/' + video_name_path
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# args.images_dir = '../data_MPKFNet/result_raw/' + video_name_path
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# args.output_dir = "../data_MPKFNet/result/" + video_name_path + "Detection"
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# CombineVideoRawImgPath = "../data_MPKFNet/result/" + video_name_path + "Detection"
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# CombineVideoResultPath = '../data_MPKFNet/result_vedio11/' + "{}.avi".format(video_name_path)
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#
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# # vedio_img(RawVideoFilename, RawVideoExtrationSavedpath, 1)
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# # main(args)
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# # images_to_video(CombineVideoRawImgPath, CombineVideoResultPath)
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# if os.path.exists(RawVideoExtrationSavedpath):
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# print("skip video to image")
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# pass
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# else:
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# vedio_img(RawVideoFilename, RawVideoExtrationSavedpath, 1)
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# if os.path.exists(args.output_dir):
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# print("skip deal")
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# pass
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# else:
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# main(args)
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# images_to_video(CombineVideoRawImgPath, CombineVideoResultPath)
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#zhendui danyi shipin
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if __name__ == '__main__':
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args = parse_args()
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video_name_path = args.video_name
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video_name_path = video_name_path.replace(".MP4", "").replace(".mp4", "").replace(".MOV", "").replace(".mov", "")
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RawVideoFilename = '../data_MPKFNet/rawdata/1/'+args.video_name
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RawVideoExtrationSavedpath = '../data_MPKFNet/result_raw/' + video_name_path
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args.images_dir = '../data_MPKFNet/result_raw/' + video_name_path
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args.output_dir = "../data_MPKFNet/result/" + video_name_path + "Detection"
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CombineVideoRawImgPath = "../data_MPKFNet/result/" + video_name_path + "Detection"
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CombineVideoResultPath = '../data_MPKFNet/result_vedio/' + video_name_path + "Detection.avi"
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if os.path.exists(RawVideoExtrationSavedpath):
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print("skip video to image")
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pass
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else:
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vedio_img(RawVideoFilename, RawVideoExtrationSavedpath, 1)
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if os.path.exists(args.output_dir):
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print("skip deal")
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pass
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else:
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main(args)
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images_to_video(CombineVideoRawImgPath, CombineVideoResultPath)
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