openmv识别车牌的例程
时间: 2024-04-22 16:19:38 浏览: 61
OpenMV是一款基于MicroPython的开源嵌入式视觉开发平台,可以用于图像处理和机器视觉应用。下面是一个使用OpenMV识别车牌的例程:
```python
import sensor
import image
import time
# 初始化摄像头
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time=2000)
# 加载车牌识别模型
net = "车牌识别模型路径"
labels = ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "A", "B", "C", "D", "E", "F", "G", "H", "J", "K", "L", "M", "N", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z"]
thresholds = [0.5, 0.5]
# 开始循环识别
while True:
img = sensor.snapshot()
objects = img.find_datamatrices()
for obj in objects:
# 绘制矩形框
img.draw_rectangle(obj.rect(), color=(255, 0, 0))
# 车牌识别
img_roi = img.crop(obj.rect())
code = img_roi.to_grayscale().get_histogram().get_statistics().mean()
result = net.classify(code, threshold=thresholds)
# 显示识别结果
if result:
img.draw_string(obj.x()+3, obj.y()-10, labels[result.index(max(result))], color=(0, 255, 0))
# 显示图像
img.show()
```
这个例程使用OpenMV的摄像头模块进行图像采集,然后加载车牌识别模型进行识别。识别到的车牌会在图像上用矩形框标出,并显示识别结果。
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