Question

我正在使用覆盆子pi上的kinect进行对象跟踪。我混合了2个代码，因为我需要用kinect找到几乎对象，然后在跟踪灰色对象的过程之后使用OpenCV过滤器来设置灰色！但我不能！请帮帮我

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)

此代码可以向我显示2种颜色的对象：黑色和白色黑色差不多--- 我想将此代码混合到对象跟踪。但很重要。

# 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/

Answer 1

代码中的逻辑似乎是正确的。不过，我注意到了一些实现错误。

首先，您应该在from processing import * tool = "paintbrush" tool = "shapechanger" red_color = 0 green_color = 0 blue_color = 0 def setup(): size(400,400) draw_red_button() def draw_red_button(): set_red() fill(red_color, green_color, blue_color) rect(0, 380, 20, 20) def red_button_pressed(): if mouse.pressed and (mouse.x>0 and mouse.x<20 and mouse.y>380 and mouse.y<400): return True else: return False def draw(): if red_button_pressed(): set_red() else: fill(red_color, green_color, blue_color) paint() stroke(red_color, green_color, blue_color) def paint(): if mouse.pressed: ellipse(mouse.x, mouse.y, 20,20) def set_red(): global red_color global green_color global blue_color red_color = 255 green_color = 0 blue_color = 0 run()之后缩进块。您还应该添加对while True的调用，以便OpenCV不会卡在waitKey()：

imshow()

最后，您应该将下一个块（while True: depth = getDepthMap() blur = cv2.GaussianBlur(depth, (5, 5), 0) cv2.imshow('image', blur) cv2.waitKey(1)）的输入与前一个块的输出（mask）相关联：

blur

通过kinect对覆盆子pi进行对象跟踪

1 个答案: