【Python脚本】手动过滤图片数据样本的自动化操作

可以通过键盘快速操作

import cv2
import os
import argparse
import numpy as np 
from tqdm import tqdm
import shutil
import random
import glob
import json
import sys
import tty
import termios

def parse_arg():
    """
    Parse command line input parameters
    """
    parser = argparse.ArgumentParser(description="Calculate the accuracy of license plate recognition")
    parser.add_argument("--input_image_paths", type=str, default="/home/yangbinchao/桌面/雄研/draw_test_data_image/draw",help=" File path to be processed ")
    args = parser.parse_args()
    print()
    print(f"args = {args}")
    print()
    return args

def readchar():
    fd = sys.stdin.fileno()
    old_settings = termios.tcgetattr(fd)
    try:
        tty.setraw(sys.stdin.fileno())
        ch = sys.stdin.read(1)
    finally:
        termios.tcsetattr(fd, termios.TCSADRAIN, old_settings)
    return ch

def readkey(getchar_fn=None):
    getchar = getchar_fn or readchar
    c1 = getchar()
    if ord(c1) != 0x1b:
        return c1
    c2 = getchar()
    if ord(c2) != 0x5b:
        return c1
    c3 = getchar()
    return chr(0x10 + ord(c3) - 65)

def wait_key(img_path):  # wait the key is put down
    while True:
        key=readkey()
        if key=='z':  # save the path 
            print('save the image path list',img_path)
            #miss_label_list.append(img_path)
            with open( './miss_label_list.json',  'a+',  encoding='utf-8') as f:  # 车牌对应的颜色标签
                f.write(json.dumps(img_path,ensure_ascii=False,indent=1)+',')
            break
        if key=='x':  
            print('save the image path list',img_path)
            #lack_vehicle_list.append(img_path)
            with open( './lack_vehicle_list.json',  'a+',  encoding='utf-8') as f:  # 车牌对应的颜色标签
                f.write(json.dumps(img_path,ensure_ascii=False,indent=1)+',')
            break
        if key=='a':
            print('ignore the image path list',img_path)
            break
        if key=='q':
            return key
            break

def read_img(img_path,image_dir):
    image_path = os.path.join( image_dir, img_path)
    img = cv2.imread(image_path) 
    img = cv2.resize(img,(1000,500))
    cv2.imshow(img_path, img) 
    while cv2.waitKey(2500) != 27:# loop time is 3000 if not get ESC
        if cv2.getWindowProperty('img_path' ,cv2.WND_PROP_VISIBLE) <= 0:
            break
    cv2.destroyAllWindows() 

def main(args):

    for img_path in tqdm(os.listdir(args.input_image_paths)):
        read_img(img_path, image_dir=args.input_image_paths)
        key_value = wait_key(img_path)
        if(key_value == 'q'):
            print('nthe save image path list is {}'.format(miss_label_list))
            print('nthe save image path list is {}'.format(lack_vehicle_list))
            exit()
    print('nthe save image path list is {}'.format(miss_label_list))
    print('nthe save image path list is {}'.format(lack_vehicle_list))

if __name__ == "__main__":
    args = parse_arg()
    miss_label_list = []
    lack_vehicle_list = []
    main(args)

        
    

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