79 lines
2.3 KiB
Python
79 lines
2.3 KiB
Python
# Untitled - By: nian0 - 周一 11月 20 2023
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import sensor,image,lcd,time
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import KPU as kpu
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import gc
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#摄像头初始化
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sensor.reset()
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sensor.set_pixformat(sensor.RGB565)
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sensor.set_framesize(sensor.QVGA)
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sensor.set_vflip(1) #摄像头后置方式
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lcd.init() #LCD初始化
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clock = time.clock()
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#模型分类，按照20class顺序
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#classes = ['light']
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classes = ['red', 'green', 'yellow', 'light']
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# 从SD加载模型卡上。将kmodel文件通过读卡器拷贝到SD卡。
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task = kpu.load("/sd/model-95325.kmodel") #模型SD卡上
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#网络参数
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#anchors = [0.72, 0.88, 0.81, 2.56, 0.91, 1.0, 0.66, 0.72, 1.03, 1.16]
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anchor = (1.0, 1.13, 0.75, 0.84, 0.72, 2.41, 1.13, 3.81, 0.88, 2.72)
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#初始化yolo2网络，识别可信概率为0.7（70%）
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a = kpu.init_yolo2(task, 0.7, 0.3, 5, anchor)
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while(True):
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gc.collect() # 内存回收
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clock.tick()
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img = sensor.snapshot()
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img = img.resize(224, 224)
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## 首先获取图像的宽度和高度
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#w = img.width()
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#h = img.height()
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## 计算中心截取区域的左上角坐标
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#x = (w - 224) // 2
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#y = (h - 224) // 2
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## 使用图像对象的 crop 方法进行截取
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#img = img.crop((x, y, 224, 224))
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#print("sd")
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img.save("/sd/example.jpg")
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#print("23rwwfd")
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img.pix_to_ai() # 将图像数据从标准的像素格式转换为 KPU 可以处理的格式
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t = time.ticks_ms()
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code = kpu.run_yolo2(task, img) #运行yolo2网络
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t = time.ticks_ms() - t
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#if code:
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#for i in code:
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#a=img.draw_rectangle(i.rect())
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#a = lcd.display(img)
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#print(classes[i.classid()])
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#lcd.draw_string(i.x(), i.y(), classes[i.classid()], lcd.RED, lcd.WHITE)
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#lcd.draw_string(i.x(), i.y()+12, '%f1.3'%i.value(), lcd.RED, lcd.WHITE)
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print(code)
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if code:
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for obj in code:
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pos = obj.rect()
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print(classes[obj.classid()])
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img.draw_rectangle(pos)
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img.draw_string(pos[0], pos[1], "%s : %.2f" %(classes[obj.classid()], obj.value()), scale=2, color=(255, 0, 0))
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#comm.send_detect_result(code, classes)
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#img.draw_string(0, 200, "t:%dms" %(t), scale=2, color=(255, 0, 0))
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a = lcd.display(img)
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else:
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a = lcd.display(img)
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#print(clock.fps())#打印FPS
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