OpenMv人脸识别项目程序设计与实现

1. 硬件准备
- OpenMv相机
- 人脸识别模块

2. 引入所需库
- import sensor
- import image
- import time
- import lcd
- import KPU as kpu

3. 初始化摄像头
- sensor.reset()
- sensor.set_pixformat(sensor.RGB565)
- sensor.set_framesize(sensor.QVGA)
- sensor.skip_frames(time=2000)
- lcd.init()

4. 加载人脸识别模型
- task = kpu.load(0x300000)

5. 定义人脸识别函数
- def recognize_face():
- img = sensor.snapshot()
- img = img.resize(224, 224)
- fmap = kpu.forward(task, img)
- plist = fmap[:]
- max_face = max(plist)
- max_index = plist.index(max_face)
- if max_index == 0:
- lcd.draw_string(0, 0, "Unknown")
- elif max_index == 1:
- lcd.draw_string(0, 0, "Tom")
- elif max_index == 2:
- lcd.draw_string(0, 0, "Jerry")

6. 循环调用人脸识别函数
- while(True):
- recognize_face()

7. 释放模型资源
- kpu.deinit(task)

完整代码如下：

# 引入所需库
import sensor
import image
import time
import lcd
import KPU as kpu

# 初始化摄像头
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time=2000)
lcd.init()

# 加载人脸识别模型
task = kpu.load(0x300000)

# 定义人脸识别函数
def recognize_face():
img = sensor.snapshot()
img = img.resize(224, 224)
fmap = kpu.forward(task, img)
plist = fmap[:]
max_face = max(plist)
max_index = plist.index(max_face)
if max_index == 0:
lcd.draw_string(0, 0, "Unknown")
elif max_index == 1:
lcd.draw_string(0, 0, "Tom")
elif max_index == 2:
lcd.draw_string(0, 0, "Jerry")

# 循环调用人脸识别函数
while(True):
recognize_face()

# 释放模型资源
kpu.deinit(task)