python实现将一个文件夹中所有图像红色部分二值化为1，其余为0，再进行数据增强，最后使用paddleocr进行数字识别

下面是一个实现该功能的Python代码：

import cv2
import os
import numpy as np
import random
from paddleocr import PaddleOCR

# 将一个文件夹中所有图像红色部分二值化为1，其余为0
def binarize_red(img):
    hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
    lower_red = np.array([0, 50, 50])
    upper_red = np.array([10, 255, 255])
    mask1 = cv2.inRange(hsv, lower_red, upper_red)
    lower_red = np.array([170, 50, 50])
    upper_red = np.array([180, 255, 255])
    mask2 = cv2.inRange(hsv, lower_red, upper_red)
    mask = mask1 + mask2
    mask = cv2.bitwise_not(mask)
    return mask

# 进行数据增强
def data_augmentation(img):
    # 随机旋转
    angle = random.randint(-30, 30)
    rows, cols, _ = img.shape
    M = cv2.getRotationMatrix2D((cols/2, rows/2), angle, 1)
    img = cv2.warpAffine(img, M, (cols, rows))
    # 随机平移
    x = random.randint(-20, 20)
    y = random.randint(-20, 20)
    M = np.float32([[1, 0, x], [0, 1, y]])
    img = cv2.warpAffine(img, M, (cols, rows))
    # 随机缩放
    scale = random.uniform(0.5, 1.5)
    img = cv2.resize(img, None, fx=scale, fy=scale)
    return img

# 使用paddleocr进行数字识别
def recognize_num(img):
    ocr = PaddleOCR()
    result = ocr.ocr(img, rec=True)
    nums = []
    for line in result:
        for word in line:
            nums.append(word[1])
    return nums

# 处理单张图片
def process_image(img_path):
    img = cv2.imread(img_path)
    mask = binarize_red(img)
    img = cv2.bitwise_and(img, img, mask=mask)
    img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    img = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY)[1]
    img = data_augmentation(img)
    nums = recognize_num(img)
    return nums

# 处理整个文件夹
def process_folder(folder_path):
    nums_list = []
    for filename in os.listdir(folder_path):
        if filename.endswith('.jpg') or filename.endswith('.png'):
            img_path = os.path.join(folder_path, filename)
            nums = process_image(img_path)
            nums_list.append(nums)
    return nums_list

# 使用示例
folder_path = 'path/to/your/folder'
nums_list = process_folder(folder_path)
print(nums_list)

该代码将一个文件夹中所有图像的红色部分二值化为1，其余为0，并进行了数据增强，最后使用PaddleOCR进行数字识别。你可以根据实际情况修改代码中的参数。