2017-08-29 16:45:46 -0600 | received badge | ● Enthusiast |
2017-07-18 08:35:17 -0600 | received badge | ● Teacher (source) |
2017-07-13 07:14:51 -0600 | commented answer | Template matching-multiple objects Yeah that's a pretty numpy-python specific operation. It returns the pixel locations where the result is less than threshold...no idea what a C# implementation would look like for that line. |
2017-07-13 05:11:52 -0600 | answered a question | How do i convert a Grayscale video to a Tensor? First off, check out the OpenCV docs for the The easiest way would be to use the built-in OpenCV function |
2017-07-13 04:54:03 -0600 | commented question | How do i convert a Grayscale video to a Tensor? To be clear, do you mean you want to stack the grayscale frames into a 3d matrix? Why not just use a vector/list of matrices? |
2017-07-13 04:50:32 -0600 | answered a question | How to find the exact colour range in HSV? I recently answered a question that dove in deep to For finding your own values to work on an image, it's probably best practice to create a program which shows trackbars for the min and max values of each color channel and adjust them yourself till you get the hang of it. Or just pop an image in the program whenever you need to. I created a python program that does this; you can grab it from GitHub if you want. This is what it looks like in use: |
2017-07-13 04:43:37 -0600 | answered a question | Template matching-multiple objects
You would get 1 as the minimum and 4 as the index of the minimum from So specifically, find Here's a short python program which accomplishes what you're after. Sorry for not being in the language you want, but it should be fairly easy to translate: Yielding the following image: Notice that in my program I added a small number ( |
2017-07-13 04:09:36 -0600 | commented answer | image ROIs in python Not to be too picky on your wording but the indexing for vectors is |