删除

4 years ago · 54d5319b47
parent 0e12bcab8e
commit 54d5319b47
5 changed files with 0 additions and 388 deletions
--- a/src/视频转图像/.idea/workspace.xml
+++ b/src/视频转图像/.idea/workspace.xml
@ -1,243 +0,0 @@
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--- a/src/视频转图像/huidu_shuai.py
+++ b/src/视频转图像/huidu_shuai.py
@ -1,46 +0,0 @@
 import  PIL.Image
 import numpy
 import os
 import shutil
 def sum_right(path):
    img = PIL.Image.open(path)
    array = numpy.array(img)
    num = array.sum(axis=0)
    print(type(num))
    res_left = 0
    res_right = 0
    for i in range(256,512):
        res_right += num[i]
    print(res_right)
 # if __name__ == '__main__':
 #     dir2 = r"C:\Users\xinluo\PycharmProjects\pythonProject\Camera Roll"
 #     dir1 = r"C:\Users\xinluo\PycharmProjects\pythonProject\Saved Pictures"
 #     names = os.listdir(dir1)
 #     n = len(names)
 #     print("文件数量",n)
 #     res = 0
 #     average_5 = 25565356
 #     average_25 = 26409377
 #     average_5_right = 10006019
 #     #average_tmp = (average_25+average_5)//2
 #     count = 0
 #     #show(os.path.join(dir1, "uni4F6C.png"))
 #     for i in range(n):
 #         #取图片
 #         img = PIL.Image.open(os.path.join(dir1,names[i]))
 #         file = os.path.join(dir1,names[i])
 #         rmfile = os.path.join(dir2,names[i])
 #         array = numpy.array(img)
 #         num = array.sum(axis=0)
 #         res_right = 0
 #         for i in range(256, 512):
 #             res_right += num[i]
 #         average_5_right += res_right/n
 #
 #         if (res_right > average_5_right).all():
 #              shutil.copyfile(file, rmfile)
 #              os.remove(file)
 #              count += 1
 #     print(average_5_right)
 #     print(count)
--- a/src/视频转图像/qingxi_shuai.py
+++ b/src/视频转图像/qingxi_shuai.py
@ -1,27 +0,0 @@
 # -*- coding: UTF-8 -*-
 import argparse
 import cv2
 import os
 # 使用方法：命令行cd到脚本所在文件夹，python picture.py -i "图片路径"
 #便历图片，合格则保存，不合格则删除
 def variance_of_laplacian(image):
    # 使用拉普拉斯算子提取图像边缘信息，计算边缘的平均方差
    return cv2.Laplacian(image, cv2.CV_64F).var()
 def read_path(file_pathname):
    #遍历该目录下的所有图片文件
    for filename in os.listdir(file_pathname):
        print(filename)
        image = cv2.imread(file_pathname+'/'+filename)
        # 取图片的灰度通道
        gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
        fm = variance_of_laplacian(gray)
        # 如果得分比阈值低，认为是模糊
        if fm < 100.0:
            os.remove(file_pathname+'/'+filename)
 #read_path(r"C:\Users\xinluo\PycharmProjects\pythonProject\Saved Pictures")
 #print(os.getcwd())
--- a/src/视频转图像/video_to_photo.py
+++ b/src/视频转图像/video_to_photo.py
@ -1,50 +0,0 @@
 import cv2
 import argparse
 import os
 def parse_args():
    """
    Parse input arguments
    """
    parser = argparse.ArgumentParser(description='Process pic')
    parser.add_argument('--input', help='video to process', dest='input', default=None, type=str)
    parser.add_argument('--output', help='pic to store', dest='output', default=None, type=str)
    # default为间隔多少帧截取一张图片
    parser.add_argument('--skip_frame', dest='skip_frame', help='skip number of video', default=10, type=int)
    # input为输入视频的路径 ，output为输出存放图片的路径
    args = parser.parse_args(['--input', r'C:\Users\xinluo\PycharmProjects\pythonProject\1234.mp4', '--output', r'C:\Users\xinluo\PycharmProjects\pythonProject\Saved Pictures'])
    return args
 def process_video(i_video, o_video, num):
    cap = cv2.VideoCapture(i_video)
    num_frame = cap.get(cv2.CAP_PROP_FRAME_COUNT)
    expand_name = '.jpg'
    if not cap.isOpened():
        print("Please check the path.")
    cnt = 0
    count = 0
    while 1:
        ret, frame = cap.read()
        cnt += 1
        #  how
        # many
        # frame
        # to
        # cut
        if cnt % num == 0:
            count += 1
            cv2.imwrite(os.path.join(o_video, str(count) + expand_name), frame)
        if not ret:
            break
 if __name__ == '__main__':
    args = parse_args()
    if not os.path.exists(args.output):
        os.makedirs(args.output)
    print('Called with args:')
    print(args)
    process_video(args.input, args.output, args.skip_frame)
--- a/src/视频转图像/xiangsu_shuai.py
+++ b/src/视频转图像/xiangsu_shuai.py
@ -1,22 +0,0 @@
 import os
 from PIL import Image, ImageFile
 # ImageFile.LOAD_TRUNCATED_IMAGES = True    #如果图片太大报错可以使用这个
 def pixel():
    b = 0
    dir = r'C:\Users\xinluo\PycharmProjects\pythonProject\Camera Roll'  # 需要处理的图片目录
    files = os.listdir(dir)  # 得到需要处理的所有图片
    files.sort()  # 对图片进行排序
    for each_bmp in files:  # 遍历图片，进行筛选
        each_bmp_root = os.path.join(dir, each_bmp)  # 得到每个图片路径
        image = Image.open(each_bmp_root)  # 打开每个图片
        img = image.convert('RGB')  # 转化成RGB，其实图片大多都是RGB，即使灰度图也不一定转RGB，看需求
        width = img.size[0]  # 获取图像的宽和长
        height = img.size[1]
        if (width < 650) or (height < 650):  # 判断图形尺寸有一条边小于600像素的直接删除
            os.remove(each_bmp_root)