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View Code? Open in Web Editor NEWPython version of GT/Udacity Introduction to Computer Vision quizzes
Python version of GT/Udacity Introduction to Computer Vision quizzes
The edge demo covers the use of canny on Lena and Laplacian of Gaussian
While I understand that we suppose to build the Hough model by ourselves for one of the PS, it will be good to have a baseline for comparison. Also, since past students using Matlab/Octave have this resource, it makes sense for this python generation to have access to the same baseline materials.
Could you please add one for Load and Display Image?
Really minor, but caught me off guard:
in 3B-L3/match_two_strips.py
, b = 100,
while in 3B-L3/answers/match_two_strips.py
, b = 80
The student version calculates gmag thusly:
gmag = np.sqrt(gx2 + gy2) / (4 * np.sqrt(2))
While the answer uses:
gmag = np.sqrt(gx2 + gy2)
This is causing the gradient to be all zeros
I'm getting this error when trying to run the solution for gradient_quiz.py:
Traceback (most recent call last):
File "CV-lecture-quizzes-python/2A-L5/answers/gradient_quiz.py", line 22, in
cv2.imshow('Image', img) # assumes [0, 1] range for double images
cv2.error: OpenCV(4.0.0) c:\projects\opencv-python\opencv\modules\imgproc\src\color.hpp:261: error: (-2:Unspecified error) in function '__cdecl cv::CvtHelper<struct cv::Set<1,-1,-1>,struct cv::Set<3,4,-1>,struct cv::Set<0,2,5>,2>::CvtHelper(const class cv::_InputArray &,const class cv::_OutputArray &,int)'
> Unsupported depth of input image:
> 'VDepth::contains(depth)'
> where
> 'depth' is 6 (CV_64F)
@pdvelez Would you want someone to contribute the missing gaussian noise method here? https://github.com/pdvelez/CV-lecture-quizzes-python/blob/master/2A-L3/apply_median_filter.py#L21
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