ROI取值float转换成int型怎么做？

[18229941233]

# Single Color RGB565 Blob Tracking Example
#
# This example shows off single color RGB565 tracking using the OpenMV Cam.

import sensor, image, time

threshold_index = 0 # 0 for red, 1 for green, 2 for blue

# Color Tracking Thresholds (L Min, L Max, A Min, A Max, B Min, B Max)
# The below thresholds track in general red/green/blue things. You may wish to tune them...
thresholds = [(100, 37, -40, 127, 12, 127)] # generic_red_thresholds
                                            # generic_green_thresholds
                                            # generic_blue_thresholds
threshold2 = [(30, 47, -39, 19, 20, 42)]
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False) # must be turned off for color tracking
sensor.set_auto_whitebal(False) # must be turned off for color tracking
clock = time.clock()

# Only blobs that with more pixels than "pixel_threshold" and more area than "area_threshold" are
# returned by "find_blobs" below. Change "pixels_threshold" and "area_threshold" if you change the
# camera resolution. "merge=True" merges all overlapping blobs in the image.

def find_max(blobs):
    max_size=0
    for blob in blobs:
        if blob[2]*blob[3] > max_size:
            max_blob=blob
            max_size = blob[2]*blob[3]
    return max_blob

ROI=(0,0,1,1)

while(True):
    clock.tick()
    img = sensor.snapshot()
    blobs = img.find_blobs([thresholds[0]], pixels_threshold=800, area_threshold=800, merge=False)
    if blobs:
              max_blob = find_max(blobs)  
              print(max_blob.rect())
             #img.draw_rectangle(max_blob.rect())
             #img.draw_cross(max_blob.cx(), max_blob.cy())
              ROI = max_blob.rect()
              xc = max_blob.cx()
              yc = max_blob.cy()
              x = max_blob.x()
              y = max_blob.y()
              xn = xc-(xc-x)*8/10
              int(xn)
              yn = yc-(yc-y)*8/10
              int(yn)
              wn = (xc-xn)*2
              int(wn)
              hn = (yc-yn)*2
              int(hn)
              ROI = (xn, yn, wn, hn)
    img.binary(thresholds)
    img.dilate(2, threshold = 10)
    statistics=img.get_statistics(roi=ROI)
    avg = statistics.mean()
    print(avg)
    print(clock.fps())

[kidswong999]

int(1.3)

结果:1

[18229941233]

我想把xn,yn变成Int型怎么做？我试了一下int(xn)得到的还是浮点数

[kidswong999]

浮点数=1.3
整数=int(浮点数)
print(整数)