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Openmv使用星瞳AI训练出识别水果的模型后,运行时检测到水果后,卡住了,然后断开连接,该如何解决?
# This code run in OpenMV4 H7 Plus import sensor, image, time, os, tf sensor.reset() # Reset and initialize the sensor. sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE) sensor.set_framesize(sensor.QVGA) # Set frame size to QVGA (320x240) sensor.set_windowing((240, 240)) # Set 240x240 window. sensor.skip_frames(time=2000) # Let the camera adjust. labels = [line.rstrip() for line in open("labels.txt")] class_num = len(labels) clock = time.clock() while(True): clock.tick() img = sensor.snapshot() for obj in tf.classify("trained.tflite", img, min_scale=1.0, scale_mul=0.8, x_overlap=0.5, y_overlap=0.5): img.draw_rectangle(obj.rect()) output = obj.output() for i in range(class_num): print("%s = %f" % (labels[i], output[i])) print(clock.fps(), "fps")