Embedded_game/002_B_Car/使用模型3.py

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2025-01-02 12:48:11 +08:00
# Untitled - By: nian0 - 周一 11月 20 2023
import sensor, image, lcd, time
from fpioa_manager import fm
import KPU as kpu
import gc
from Maix import GPIO
from machine import Timer, PWM, UART, Timer
# 初始化 LCD
lcd.init()
# 从SD卡加载模型
# task = kpu.load("/sd/model-96249.kmodel")
labels = ['green', 'light', 'yellow', 'red']
anchors = [0.88, 3.47, 0.69, 0.81, 0.97, 3.47, 1.12, 3.75, 1.25, 4.19]
while True:
task = None
task = kpu.load("/sd/model-96249.kmodel")
# 初始化yolo2网络识别可信概率为0.770%
a = kpu.init_yolo2(task, 0.7, 0.3, 5, anchors)
img = image.load('./sd/yellow.jpg', [size = (240, 240), [mode = "RGB"]])
# 调整图像大小
img = img.resize(224, 224)
# # 在LCD屏幕上显示图像
# lcd.display(img)
# 准备图像进行推理
img.pix_to_ai()
code = kpu.run_yolo2(task, img) # 运行yolo2网络
print(code)
if code:
for obj in code:
pos = obj.rect()
print(labels[obj.classid()])
img.draw_rectangle(pos)
img.draw_string(pos[0], pos[1], "%s : %.2f" %(labels[obj.classid()], obj.value()), scale=2, color=(255, 0, 0))
#comm.send_detect_result(code, classes)
#img.draw_string(0, 200, "t:%dms" %(t), scale=2, color=(255, 0, 0))
a = lcd.display(img)
else:
a = lcd.display(img)
if not task is None:
kpu.deinit(task)