写一段分割文件夹中图片的车牌的代码
时间: 2024-05-11 09:15:48 浏览: 17
好的,下面是一段 Python 代码,可以分割文件夹中图片的车牌:
```
import cv2
import os
def recognize_plate(image_path):
# 读取图片
img = cv2.imread(image_path)
# 预处理图片
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
blur = cv2.GaussianBlur(gray, (5, 5), 0)
edged = cv2.Canny(blur, 30, 200)
# 查找轮廓
contours, hierarchy = cv2.findContours(edged.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
# 筛选车牌轮廓
screenCnt = None
for c in contours:
peri = cv2.arcLength(c, True)
approx = cv2.approxPolyDP(c, 0.02 * peri, True)
if len(approx) == 4:
screenCnt = approx
break
# 分割车牌区域
if screenCnt is not None:
mask = np.zeros(gray.shape, np.uint8)
new_image = cv2.drawContours(mask, [screenCnt], 0, 255, -1)
new_image = cv2.bitwise_and(img, img, mask=mask)
(x, y) = np.where(mask == 255)
(x1, y1) = (np.min(x), np.min(y))
(x2, y2) = (np.max(x), np.max(y))
cropped_img = gray[x1:x2 + 1, y1:y2 + 1]
# 识别车牌
text = pytesseract.image_to_string(cropped_img, config='--psm 11')
return text
if __name__ == '__main__':
# 遍历文件夹中的所有图片
for filename in os.listdir('images'):
if filename.endswith('.jpg') or filename.endswith('.png'):
image_path = os.path.join('images', filename)
plate_text = recognize_plate(image_path)
print(f'{filename}: {plate_text}')
```
这段代码使用了 OpenCV 和 Tesseract OCR 来分割车牌并识别车牌号码。你可以将这段代码保存为 Python 脚本,然后在终端中运行。运行时需要先安装相应的依赖库和 OCR 引擎。