Cocoboyyy

Hey, I think we are great now; I have improved the user experience. I will just update the readme and prepare a release, and we will be great!!

Hey, what’s up? Lastly, I implemented multiple magnet basic interactions, and it looks really great ( it was pretty easy). Now, I will continue improving user experience before shipping this project!
Have a nice day of coding!!

Hey, we have finished the biggest part of the readme, go read it!!!

Hey, I finally added a better normalisation way ( I will give the formula in the readme), and I cleaned the project and split the main into different files. The next step that I want to achieve before the first release is to create the readme and add a cursor for measurement ( with some user input) ! Have a great day of codinggg !

What’s up? Today I made huge progress; I chose to convert the system to something that is static (to avoid calculating everything for each frame). It was quite hard because I had to improve my OpenGL understanding ( with a mesh buffer and an instance position buffer). But I like the result!! Here you can see some pictures with 50000 points… I hope you will like it ;) Have a nice day of coding!!

Hey, I hope you have a great day of coding! Today, I worked on the magnetic field strength approximation, and I faced many issues with visualization… To make it simple, in the formula we have a 1/x^3, so values get really quickly too tiny or too big; that’s why I used a ‘Logarithmic Normalization’, but I will talk more about this in the doc!! Next step: make it more realistic and usable. Have a nice day of coding !!

Yo! So I finally managed to create something that is near from particle ( but I finally used square) . Under this devlog you will see that I started to create some visualization of field; actually, it isn’t a magnetic field but the distance to the origin. Now, it’s time to dive into more accurate physique, in order to create something realistic! I hope you have a great day of coding, bye

Hey, what’s up ?! I spent the last hour trying to improve the magnet (3D) and trying to create my first spherical particle; it isn’t really easy due to the tessellation ( converting sphere into triangle), but I hope in the next devlog it will be done ;) . Have a max of fun coding, bye!

Hey, I hope you’re doing well. Today, I started to create the windows of the magnetic field simulator. I used OpenGL in C++ to do that. In the attached picture, you can see a “kind of” magnet that I will use as a base to create the first representation of magnetic field!! I hope you will like this project, have a nice day of coding and catch you next time!!

We fixed some bugs for exporting and modified the readme.md for the new release!! Go see it, we hope you will like it!!

Hey, what’s up? Today I finally fixed some bugs, especially on the output object scale. All my problems were coming from a ‘&’ missing in the function adapting the scale of the object. Now I have to make this more usable, upgrading the UI and updating the Readme… (for the next release & maybe for linux ;) . I hope you will have a great day coding, byyyee

Hey, it’s been a long time since I didn’t journal something. In the last few days, I improved the conversion image and I added some cool features like the conversion of the discrete volume image into a .stl file. I hope you will like this improvement! I have to fix some bugs and improve the UI before publishing the new release of the program, so stay tuned. Have a nice day of coding!!

The first release is published, go try it! Now it’s time to work on a Bird’s Eye View algorithm!

Hello, I finally managed to get a good approximation of the vanishing point to estimate depth using perspective. However, I’m not sure whether I should continue with this approach (which is quite tricky) or try a different one, perhaps a physics-informed neural network based on perceptual physics, or an AI model like Anything V2.
I hope you’re doing well. Have a great day of coding!

Hi,
We’ve started going deeper into image depth analysis. I implemented some algorithms to detect lines in the picture and determine which ones are parallel to each other.
Now, let’s try to detect parallelograms in the image to create a depth approximation based on perspective. Talk to you soon!

Hey, to get started, I simply reorganized the folder structure of my project by creating the classes ImageProcessing.hpp and Function.hpp. I think it will now be easier to develop our image processing logic. Have a great day!

Hi! This is a small devlog. I updated my README and fixed some issues with the camera and orbital trajectory. Now I’m going to focus on data and image processing, trying to find patterns that appear in many images and may indicate depth. Maybe I’ll create a depth-based calculation using these patterns and eventually transform a side-view image into a zenithal (top-down) view to convert landscapes into 3D maps. I hope you wrote some great code today too! Bye ;)

Hey, finally we have the Viridis gradient to represent the height (I will add colors like Magma and Plasma later).
Now the mission is to create a few algorithms to detect the most important features and try to reduce the resolution as much as possible.If you have any suggestions, I’ll gladly take them!
Thanks for reading, and have a nice day!!

Guess which painting is represented in the picture…

We did it! After a few issues with my vertex shader and glVertexAttribPointer, I finally managed to trace the edges of my cube (next step: without the middle line ;). Now I will implement a feature that modifies the colors based on height, and then go back to our image processing system.
I hope you’re enjoying your day. Have a great day of coding!!

Hey! I started implementing image processing features. Actually, I began with the simplest one: grayscale average. However, I ran into a big problem, the rendering isn’t very useful without shades and color variation :(

So, let’s dive into shaders and try to add some lighting!
Have a great day coding!

Hey guys, what’s up?

Quick update on my project: I’ve added a few features to my Shunting Yard algorithm, like parentheses and functions. I’ll soon update my RPN calculator to support functions so I can finally start working on the image analysis.

Have a great coding day!

Hello, I finally managed to create a user-input-based function visualizer. First, I parsed the user input using the Shunting Yard algorithm (it doesn’t accept functions like exp, sin, or cos for now). Next, I calculate the position of each cube for every frame using an RPN calculator.

You can admire a beautiful x^3 / y function.

I hope you’re doing well. Bye bye!

New day, new goal! I’ve started implementing function visualization. Currently, I’m working on the Shunting Yard algorithm to convert user input into an expression my code can understand. I hope you’re doing well—have a great day of coding!!

Big improvement! Now we can move through our 3D space using ZSQD and rotate using the arrow keys. Now, let’s start implementing the beginning of our algorithm to convert images into volumetric shapes. Catch you next time!

Hi guys, today I managed to create and visualize 3D shapes and a cube. I had a few issues with my vertex shader (the part that renders our vertices) and with the translation system using GLM. But now we’re starting to see our grid. It’s really exciting. Have a great day of coding!!

I finally made my square, and I tried to position it inside a double nested loop to place a square at a given position relative to the coordinates passed into the function. It was quite hard to do, but I learned a few new principles in OpenGL, and that’s really exciting.

The next step will be to create a grid of these squares and maybe convert them into 3D cubes. I hope you’ll enjoy what’s coming next…

Thanks for reading!

After an hour of configuration, I finally installed C++ with all packages like OpenGL ( thanks to vcpkg). Finally, a managed to create my first windows. The next step will be to create my cube based on triangles in a 3-dimensional coordinate system. I hope you will like it !!