opencvpython如何不断更新时间输出和距离输出？

Question

我正在使用一个树莓皮B+运行Raspbian喘息和运动一个USB网络摄像头。我的目标是实时测量物体和相机之间的距离。在

跟随a guide on how to do so with still images

这是我当前运行的代码：

# import the necessary packages
import numpy as np
import cv2
import datetime
import time

def find_marker(frame):
    # convert the image to grayscale, blur it, and detect edges
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    gray = cv2.GaussianBlur(gray, (5, 5), 0)
    edged = cv2.Canny(gray, 35, 125)

    # find the contours in the edged image and keep the largest one;
    # we'll assume that this is our piece of paper in the image
    (cnts, _) = cv2.findContours(edged.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
    c = max(cnts, key = cv2.contourArea)

    # compute the bounding box of the of the paper region and return it
    return cv2.minAreaRect(c)

def distance_to_camera(knownWidth, focalLength, perWidth):
    # compute and return the distance from the maker to the camera
    return (knownWidth * focalLength) / perWidth

# initialize the known distance from the camera to the object, which
# in this case is 24 inches
KNOWN_DISTANCE = 11.811

# initialize the known object width, which in this case, the piece of
# paper is 11 inches wide
KNOWN_WIDTH = 2.3622

# initialize the list of images that we'll be using
#IMAGE_PATHS = ["images/2ft.png", "images/3ft.png", "images/4ft.png"]

# load the furst image that contains an object that is KNOWN TO BE 2 feet
# from our camera, then find the paper marker in the image, and initialize
# the focal length
#image = cv2.imread(IMAGE_PATHS[0])
#marker = find_marker(image)
#focalLength = (marker[1][0] * KNOWN_DISTANCE) / KNOWN_WIDTH


cap = cv2.VideoCapture(0)
timestamp = datetime.datetime.now()

while(1):

    (grabbed, frame) = cap.read()
    marker = find_marker(frame)
#   for () LOOP THIS TO GET DISTANCE CALCULATION FULLY WORKING!
    focalLength = (marker[1][0] * KNOWN_DISTANCE) / KNOWN_WIDTH
    inches = distance_to_camera(KNOWN_WIDTH, focalLength, marker[1][0])

        # draw a bounding box around the image and display it
        box = np.int0(cv2.cv.BoxPoints(marker))
        cv2.drawContours(frame, [box], -1, (0, 255, 0), 2)
        ts = timestamp.strftime("%A %d %B %Y %I:%M:%S%p")
    cv2.putText(frame, "%.2fft" % (inches / 12),
        (frame.shape[1] - 200, frame.shape[0] - 20), cv2.FONT_HERSHEY_SIMPLEX,
        2.0, (0, 255, 0), 3)
    cv2.putText(frame, ts, (10, frame.shape[0] - 10), cv2.FONT_HERSHEY_SIMPLEX,
        0.35, (0, 0, 255), 1)   

    #Write to textfile here and send
#   for () LOOP End

    cv2.imshow("Frame",frame)
    key = cv2.waitKey(1) & 0xFF
    if key == ord("q"):
        break

cap.release()
cv2.destroyAllWindows()

# loop over the images
#for imagePath in IMAGE_PATHS:
    # load the image, find the marker in the image, then compute the
    # distance to the marker from the camera
#   image = cv2.imread(imagePath)
#   marker = find_marker(image)
#   inches = distance_to_camera(KNOWN_WIDTH, focalLength, marker[1][0])

    # draw a bounding box around the image and display it
#   box = np.int0(cv2.cv.BoxPoints(marker))
#   cv2.drawContours(image, [box], -1, (0, 255, 0), 2)
#   cv2.putText(image, "%.2fft" % (inches / 12),
#       (image.shape[1] - 200, image.shape[0] - 20), cv2.FONT_HERSHEY_SIMPLEX,
#       2.0, (0, 255, 0), 3)
#   cv2.imshow("image", image)
#   cv2.waitKey(0)

以下是我的输出：

然而，时间（左下角的红色文本）和检测到的距离不会随着程序的运行而改变。有没有办法让这两个值更新到程序结束？在

Answer 1

这就是为什么两个值都没有更新：

时间戳

timestamp超出了while循环

timestamp = datetime.datetime.now()
while(1):

应该是：

^{pr2}$

---

距离

使用此参数，distance_to_camera将生成一个常量输出：

# assuming:
# a = KNOWN_WIDTH
# b = focalLength
# c = marker[1][0]
# d = KNOWN_DISTANCE

def distance_to_camera(x,y,z):
    return (x*y)/z

b = c*d/a
inches = distance_to_camera(a,b,c) # => a*b/c
# inches = a*b/c, b = c*d/a
# inches = a*c*d/a*c
# inches = d << constant output

等于KNOWN_DISTANCE。如果你计算一下：KNOWN_DISTANCE / 12 = 0.98425是你得到的距离

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编辑：

我刚刚阅读了教程，看起来您应该在while之外只做一次focalLenght计算。在