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[英]Hough circle detection using opencv 3 and Python on RaspberryPi
[英]opencv, python and RaspberryPi
我已经在Raspberry-Pi模块上实现了此代码,以从文件夹中读取png图像并将其转换为灰色,代码如下:
x = glob.glob("/home/pi/pngimages/ss*png")
for imagefile in x[0300:0302]:
img = cv2.imread(imagefile)
gray = cvt.cvtColor(img,cv2.COLOR_BGR2GRAY)
但我收到以下错误:
OpenCV错误:在cvtColor,文件/home/pi/opencv-2.4.10/modules/imgproc/src/color.cpp,第3205行回溯中,断言失败(scn == 3 || scn == 4) ):灰色文件= cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)cv2.error:/home/pi/opencv-2.4.10/modules/imgproc/src/color.cpp:3739:error:(-215)scn == 3 || scn == 4在函数cvtColor中
通常,如果图像为None
则会发生此断言。 尝试先检查图像是否正确读取。
x = glob.glob("/home/pi/pngimages/ss*png")
for imagefile in x[0300:0302]:
img = cv2.imread(imagefile)
# You can do a print img.shape here if you want to see what's going on
# If it returns NULL, something's wrong with your image or the path or something else
if img:
gray = cvt.cvtColor(img,cv2.COLOR_BGR2GRAY)
如果您发现它由于img为None
,请检查您的目录并检查它是否在寻找正确的图像
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