通过kinect在树莓派上进行物体跟踪

问题描述：

我正在用树莓派上的kinect进行物体跟踪工作。我混合2代码，因为我需要找到kinect几乎对象，然后使用OpenCV过滤器设置灰色后，跟踪灰色对象的过程！但我不能！请帮我通过kinect在树莓派上进行物体跟踪

import freenect 
import cv2 
import numpy as np 

""" 
Grabs a depth map from the Kinect sensor and creates an image from it. 
""" 
def getDepthMap(): 
depth, timestamp = freenect.sync_get_depth() 

np.clip(depth, 0, 2**10 - 1, depth) 
depth >>= 2 
depth = depth.astype(np.uint8) 

return depth 

while True: 
depth = getDepthMap() 
#text_file = codecs.open("log2.txt", "a","utf-8-sig") 
#text_file.write(str(depth)+'\n') 

depth = getDepthMap() 
blur = cv2.GaussianBlur(depth, (5, 5), 0) 
cv2.imshow('image', blur)

这个代码可以告诉我在2 Color对象：黑白黑色几乎是--- 我想混这段代码目标跟踪。但是icant。

# find contours in the mask and initialize the current 
# (x, y) center of the ball 
cnts = cv2.findContours(mask.copy(), cv2.RETR_EXTERNAL, 
    cv2.CHAIN_APPROX_SIMPLE)[-2] 
center = None 

# only proceed if at least one contour was found 
if len(cnts) > 0: 
    # find the largest contour in the mask, then use 
    # it to compute the minimum enclosing circle and 
    # centroid 
    c = max(cnts, key=cv2.contourArea) 
    ((x, y), radius) = cv2.minEnclosingCircle(c) 
    M = cv2.moments(c) 
    center = (int(M["m10"]/M["m00"]), int(M["m01"]/M["m00"])) 

    # only proceed if the radius meets a minimum size 
    if radius > 10: 
     # draw the circle and centroid on the frame, 
     # then update the list of tracked points 
     cv2.circle(frame, (int(x), int(y)), int(radius), 
      (0, 255, 255), 2) 
     cv2.circle(frame, center, 5, (0, 0, 255), -1) 

# update the points queue 
pts.appendleft(center)

http://www.pyimagesearch.com/2015/09/14/ball-tracking-with-opencv/

答

在你的代码的逻辑似乎是正确的。不过，我注意到一些执行错误。

首先，您应该在while True之后缩进块。你也应该添加一个调用waitKey()，这样的OpenCV不会停留在imshow()：

while True: 
    depth = getDepthMap() 
    blur = cv2.GaussianBlur(depth, (5, 5), 0) 
    cv2.imshow('image', blur) 
    cv2.waitKey(1)

最后，你应该下一个块（mask）与前一个的输出输入相关联（blur）：

mask = blur

通过kinect在树莓派上进行物体跟踪

相关推荐