OpenCV错误:(-215:声明失败)VScn :: contains(scn)&& VDcn :: contains(dcn)&& VDepth ::在函数"CvtHelper"中包含(深度) [英] OpenCV Error: (-215:Assertion failed) VScn::contains(scn) && VDcn::contains(dcn) && VDepth::contains(depth) in function 'CvtHelper'

问题描述

Traceback (most recent call last):
File "demo.py", line 132, in 
     `result = find_strawberry(image)`
File "demo.py", line 63, in find_strawberry
`image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)`
cv2.error: OpenCV(3.4.2) /Users/travis/build/skvark/opencv-python/opencv/modules/imgproc/src/color.hpp:253: error: (-215:Assertion failed) VScn::contains(scn) && VDcn::contains(dcn) && VDepth::contains(depth) in function 'CvtHelper'

我个人在这个问题上花费了很多时间，因此认为与将其发布到Stackoverflow有关.

I personally have spent a lot of time on this question, hence thought relevant to post it on Stackoverflow.

问题取自: llSourcell/Object_Detection_demo_LIVE

推荐答案

即使我有同样的问题，解决方案也很简单.请记住一件事，如果图像的RGB值在0-255的范围内，请确保这些值不是数据类型"float".由于OpenCV仅在值范围为0-1时才考虑浮动.如果发现浮点值大于1，则会截断该值，并认为浮点仅存在于0-1之间.因此，产生了这样的错误.因此，如果值介于0-255之间，则将数据类型转换为uint8.

Even I had the same problem, and the solution was quiet easy. Remember 1 thing, if the RGB values of your image lie in the range of 0-255, make sure the values are not of data type 'float'. As OpenCV considers float only when values range from 0-1. If it finds a float value larger than 1 it clips off the value thinking floats only exists between 0-1. Hence such errors generated. So convert the data type to uint8 if values are from 0-255.

image = image.astype('uint8')

选中此 Kaggle内核，以了解更多有关

Check this Kaggle Kernel to learn more about it

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