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基本要求:
使用Python版的程序,比C++的准确率高,包含的车牌类型多
操作系统Windows
Keras使用 cpu版本 Tensorflow 作为后端
Python 3.5对Tensorflow兼容性比较好
pip install tensorflow
pip install Keras
64位输入
pip install opencv_python‑3.4.0+contrib‑cp35‑cp35m‑win_amd64.whl
或 32位输入
pip install opencv_python‑3.4.0+contrib‑cp35‑cp35m‑win32.whl
#coding=utf-8
import os
from hyperlpr_py3 import pipline as pp
import cv2
import numpy as np
parent = "D:\data\license_plate_images"
for filename in os.listdir(parent):
print(filename)
path = os.path.join(parent, filename)
print(path)
if path.endswith(".jpg") or path.endswith(".png"):
image = cv2.imdecode(np.fromfile(path, dtype=np.uint8), -1)
image, res = pp.SimpleRecognizePlate(image)
cv2.imshow("image", image)
cv2.waitKey(0)
运行 batch_py3.py
若缺乏包,请在"File"-"Setting"-"Project: HyperLpr"-"Project Interpreter"使用上述安装的Anaconda,Python 3.5
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