From: Mateusz Loskot (mateusz_at_[hidden])
Date: 2019-07-29 10:03:28
On Sat, 27 Jul 2019 at 21:16, Miral Shah <miralshah2211_at_[hidden]> wrote:
> On Sat, Jul 27, 2019 at 12:19 AM Mateusz Loskot <mateusz_at_[hidden]> wrote:
> > On Fri, 26 Jul 2019 at 17:25, Miral Shah <miralshah2211_at_[hidden]> wrote:
> > Miral, yes I suggested you to sort your TODO list according to decreasing
> > complexity and pick the first item (most complex) first.
> The remaining task in the descending order of the complexity:
> 1. Implementation of 2D convolutions
> 2. Gaussian Adaptive Threshold
> 3. Image denoising (Predefined kernels can be helpful in this case such
> as median filter, average filter or Wiener filter)
> > Please, give an overview of what you are planning to implement as
> > part of the 2D convolution and kernels.
> > GIL already provides related features. Olzhas has contributed some
> > more. It would be good to list exactly what is planned to be added.
> In this, I would like to maintain APIs similar to the existing 1D kernel
> and the convolution.
> To achieve the goal new APIs for 2D is as follows corresponding to their 1D
> 1. kernle_1d --> kernel_2d
> 2. kernel_1d_fixed --> kernel_2d_fixed
> 3. convolve_row/convolve_col --> convolve_2d
Looks good too.
Please, carry on as you've planned.
-- Mateusz Loskot, http://mateusz.loskot.net
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