Say you have a very rectangular 2D array arr, whose columns and rows correspond to very specific sampling locations x and y. That is, the arr[i, j] entry corresponds to some measurement taken at x[j] and y[i].
Matlab’s imagesc shows you this quite meaningfully:
x = linspace(-100, -10, 10);
y = [-8 -3];
data = randn(numel(y), numel(x));
| 1. Be comfortable with the library, learn how to use it and make some projects on it. For example, Django: make a website out of it, know what it does. | |
| 2. Be comfortable with "using" the library in C++ if it's written in that language. Python - C++ - try to use it in C++, OpenCV - C++. | |
| 3. Build the library from source. `pip3 install opencv-python, flask, django` - build everything from source. | |
| ``` | |
| every library has 1000s of source codes! header files, (source) c++ files, test codes.. | |
| ``` | |
| while building - you'll have a lot of errors, try to solve it. | |
| 4. Look at the source code "the functions you know something about". | |
| 5. If you have any questions, reach out! | |
| 6. Be more comfortable with the conventions followed in that library. |
| #include <iostream> | |
| #include <cmath> | |
| #include <vector> | |
| int main() { | |
| std::vector<std::vector<int>> samples = { {-7, -3}, {-7, 3}, {-5, 3}, {3, -2}, {3, 2}, {7, 2}, {7, -2} }; | |
| std::cout << "Output format: a rem b is: std::remainder, a % b in C++, output of torch impl, output modified impl\n"; | |
| for(auto vec: samples) { | |
| int a = vec[0], b = vec[1]; |
| #include <iostream> | |
| #include <cmath> | |
| #include <vector> | |
| int main() { | |
| std::vector<std::vector<double>> samples { {-7.5, -3.}, {-7.7, 3.1}, {-5.5, 3.}, {3., -2.5}, {3., 2.}, {7.3, 2.2}, {7.5, -2.} }; | |
| std::cout << "Output format: a rem b is: std::remainder, output before PR, output after PR\n"; | |
| for(auto vec: samples) { | |
| double a = vec[0], b = vec[1]; |