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  • 我们只解决官方正版的OpenMV的问题(STM32),其他的分支有很多兼容问题,我们无法解决。
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  • 必看:玩转星瞳论坛了解一下图片上传,代码格式等问题。
  • 如何在笑脸识别后自动拍照保存?求大神帮忙看看代码,十分感谢



    • import sensor, image, os, nn, pyb
      RED_LED_PIN = 1
      BLUE_LED_PIN = 3
      
      sensor.reset()                          # Reset and initialize the sensor.
      sensor.set_pixformat(sensor.RGB565)     # Set pixel format to RGB565
      sensor.set_framesize(sensor.QVGA)       # Set frame size to QVGA (320x240)
      sensor.skip_frames(time=2000)
      sensor.set_auto_gain(False)
      
      # Load smile detection network
      net = nn.load('/smile.network')
      
      # Load Face Haar Cascade
      face_cascade = image.HaarCascade("frontalface", stages=25)
      
      while (True):
          pyb.LED(RED_LED_PIN).on()
          print("About to start detecting smile...")
          sensor.skip_frames(time = 2000) # Give the user time to get ready.
      
          pyb.LED(RED_LED_PIN).off()
          print("Now detecting smile!")
          pyb.LED(BLUE_LED_PIN).on()
      
          diff = 10 # We'll say we detected a face after 10 frames.
          while(diff):
              img = sensor.snapshot()
      
          # Find faces.
              faces = img.find_features(face_cascade, threshold=0.75, scale_factor=1.25)
              if faces:
                 diff -= 1
      
          # Detect smiles
                 for r in faces:
              # Resize and center detection area
                    r = [r[0]+10, r[1]+25, int(r[2]*0.70), int(r[2]*0.70)]
                    img.draw_rectangle(r)
                    out = net.forward(img, roi=r, softmax=True).
                    img.draw_string(r[0], r[1], ':)' if (out[0] > 0.65) else ':(', color=(255), scale=2)
          pyb.LED(BLUE_LED_PIN).off()
      
          print("smile detected! Saving image...")
            sensor.snapshot().save("snapshot-%d.jpg" % pyb.rng()) # Save Pic.
      
      


    • 最后一行,缩进没对齐。



    • @kidswong999 谢谢