4. 人体型识别问题，有哪位大佬知道咋样解决？
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    • 人体型识别问题，有哪位大佬知道咋样解决？

    • P

      0_1608108985527_CE(`P8Y{BA4%ANS)PK(~XXY.png
      这是根据例程人脸追踪改过来的，之前还可以用，但不知道为什么现在只能识别人体，然后就卡在识别那里，下方也不能输出数据，不能追踪了，

      import sensor, time, image
sensor.reset()
sensor.set_contrast(3)
sensor.set_gainceiling(16)
sensor.set_framesize(sensor.VGA)
sensor.set_windowing((320, 240))
sensor.set_pixformat(sensor.RGB565)
# Skip a few frames to allow the sensor settle down
sensor.skip_frames(time = 2000)

# Load Haar Cascade
# By default this will use all stages, lower satges is faster but less accurate.
body_cascade = image.HaarCascade("haarcascade_fullbody.cascade", stages=25)
print(body_cascade)

# First set of keypoints
kpts1 = None

# Find a body!
while (kpts1 == None):
    img = sensor.snapshot()
    img.draw_string(0, 0, "Looking for a body...")
    # Find bodies
    objects = img.find_features(body_cascade, threshold=0.5, scale=1.25)
    if objects:
        # Expand the ROI by 31 pixels in every direction
        body = (objects[0][0]-31, objects[0][1]-31,objects[0][2]+31*2, objects[0][3]+31*2)
        # Extract keypoints using the detect face size as the ROI
        kpts1 = img.find_keypoints(threshold=10, scale_factor=1.1, max_keypoints=100, roi=body)
        # Draw a rectangle around the first face
        img.draw_rectangle(objects[0])

# Draw keypoints
print(kpts1)
img.draw_keypoints(kpts1, size=24)
img = sensor.snapshot()
time.sleep(2000)

# FPS clock
clock = time.clock()

while (True):
    clock.tick()
    img = sensor.snapshot()
    # Extract keypoints from the whole frame
    kpts2 = img.find_keypoints(threshold=10, scale_factor=1.1, max_keypoints=100, normalized=True)

    if (kpts2):
        # Match the first set of keypoints with the second one
        c=image.match_descriptor(kpts1, kpts2, threshold=85)
        match = c[6] # C[6] contains the number of matches.
        if (match>5):
            img.draw_rectangle(c[2:6])
            img.draw_cross(c[0], c[1], size=10)
            print(kpts2, "matched:%d dt:%d"%(match, c[7]))

    # Draw FPS
    img.draw_string(0, 0, "FPS:%.2f"%(clock.fps()))
      0

    • 如果升级了最新的固件，把time.sleep改为time.sleep_ms

      0