# 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")
G
gy6p_1728443530
@gy6p_1728443530
0
声望
1
楼层
40
资料浏览
0
粉丝
0
关注
gy6p_1728443530 发布的帖子
-
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?