Python 在编译以下代码时显示错误“未定义名称‘调整大小’”答案

【问题标题】：Python shows error "name 'resized' is not defined" on compiling the following codePython 在编译以下代码时显示错误“未定义名称‘调整大小’”
【发布时间】：2018-07-23 13:45:45
【问题描述】：

我正在尝试使用树莓派 3 和 picam 在 python 上实现线路检测

import picamera
import picamera.array
import time
import cv2
import numpy as np

#Initialize camera
camera = picamera.PiCamera()
camera.resolution = (640,480)
rawCapture = picamera.array.PiRGBArray(camera)
#Let camera warm up
time.sleep(0.1)

#Capture image
camera.capture(rawCapture, format="bgr")
img = rawCapture.array

#Convert to Grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

#Blur image to reduce noise
blurred = cv2.GaussianBlur(gray, (9, 9), 0)

#Perform canny edge-detection
edged = cv2.Canny(blurred, 50, 150)

#Perform hough lines probalistic transform
lines = cv2.HoughLinesP(edged,1,np.pi/180,10,80,1)

#Draw lines on input image
if(lines != None):
    for x1,y1,x2,y2 in lines[0]:
        cv2.line(resized,(x1,y1),(x2,y2),(0,255,0),2)

cv2.imshow("line detect test", img) 
cv2.waitKey(0)

显示如下错误：

Traceback（最近一次通话最后一次）：文件“/home/pi/picam lane detection.py”，第 33 行，在 cv2.line(resize,(x1,y1),(x2,y2),(0,255,0),2) NameError: name 'resize' is not defined

请帮我解决问题。

【问题讨论】：

cv2.line(resized,(x1,y1),(x2,y2),(0,255,0),2) 中调整了什么大小？
resized 从未在您显示的代码中说明...大声笑
将 'resize' 替换为 'img' 为 cv2.line(img,(x1,y1),(x2,y2),(0,255,0),2)
感谢@flamelite 成功了

标签： python-3.x python-2.7 opencv image-processing raspberry-pi3

【解决方案1】：

我认为resized 没有定义。也许您可以将resized 更改为img。

import picamera
import picamera.array
import time
import cv2
import numpy as np

#Initialize camera
camera = picamera.PiCamera()
camera.resolution = (640,480)
rawCapture = picamera.array.PiRGBArray(camera)
#Let camera warm up
time.sleep(0.1)

#Capture image
camera.capture(rawCapture, format="bgr")
img = rawCapture.array

#Convert to Grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

#Blur image to reduce noise
blurred = cv2.GaussianBlur(gray, (9, 9), 0)

#Perform canny edge-detection
edged = cv2.Canny(blurred, 50, 150)

#Perform hough lines probalistic transform
lines = cv2.HoughLinesP(edged,1,np.pi/180,10,80,1)

#Draw lines on input image
if(lines != None):
    for x1,y1,x2,y2 in lines[0]:
        cv2.line(img,(x1,y1),(x2,y2),(0,255,0),2)

cv2.imshow("line detect test", img) 
cv2.waitKey(0)

【讨论】：