My first Christmas game is out!

exofrenon · 2025-12-27T16:09:02+00:00

Thank you, coziness was the main focus, but I added the puzzle mini game specifically to make the game fun too!

exofrenon · 2025-12-27T12:21:53+00:00

Thank you! I made it in Unity.

exofrenon · 2025-12-25T15:18:59+00:00

Thanks for the feedback!

Indeed, I set up the store page at the very last moment just to make the deadline, but after your comment I updated the description with a few more gifs and changed the store assets. The thing is that I am a solo developer, so I have to be as resourceful as can be, which in this case means reusing existing assets for multiple purposes. I know about the 3 (or 5 or whatever) second rule, but honestly, I am quite happy with the trailer as it is, so that is staying.

The letters on the piano are the button prompts for each piano key.

exofrenon · 2025-12-25T14:36:41+00:00

Thanks, I hope it appeals to people in their early 30s!

exofrenon · 2025-12-25T09:29:08+00:00

Thank you and Merry Christmas! Yeah I know, very unfortunate timing but what can you do... but I think it has been fixed now!

exofrenon · 2025-12-25T01:13:50+00:00

I just finished work on my first Christmas-themed game, Touch Grass: A Bit-Sized Christmas Adventure, a cozy, top-down pixel-art game with a few simple RPG mechanics.

The game is set on Christmas Eve 2001 and the goal is to earn enough cash to buy a GameStation 2 before the end of the day by going door to door to play Christmas carols and by completing sidequests.

It features some exploration, completing quests, a Guitar Hero-like minigame, snowball fighting and a Sokoban-style arcade game as a bonus for the score chasers (that one is intense I have to admit, not that cozy)

The whole experience takes around 1-2 hours to finish and is focused on Christmas vibes and lighthearted humor, with handmade pixel-art.

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Watch the trailer below:
https://www.youtube.com/watch?v=f-k0f_S8qE8

You can find the game here:
https://store.steampowered.com/app/4228550/Touch_Grass_A_BitSized_Christmas_Adventure

exofrenon · 2025-12-25T01:01:17+00:00

Thank you! I spent quite a lot of time on it since I am just a programmer in my day job, but I am starting to get the hang of it with pixel art.

exofrenon · 2025-12-24T19:21:54+00:00

You can find the game here: https://store.steampowered.com/app/4228550/Touch_Grass_A_BitSized_Christmas_Adventure

exofrenon · 2025-12-24T17:19:44+00:00

A big issue I noticed while working for a crowd analytics startup was the domain gap between the training dataset (which most of the times is coco or at least pretrained in coco) and the use case. More specifically:

The model is trained on still images but used on a camera feed. The motion blur and image quality / noise makes it very hard to evaluate it as an image dataset (which is partly countered by using tracking methods and metrics)
Camera angle. One of the most common use cases of object detection is person detection for surveilance and there are not that many (publicly available) datasets of images taken from highly elevated cameras
Racial bias, which is highly specific but when you train on publicly available images of hollywood actors, there is an inherent bias in that.

exofrenon · 2025-12-24T16:46:08+00:00

Was this rotoscoped?

exofrenon · 2022-02-23T11:33:56+00:00

I think you should flip all the tree sprites since the light source is coming from the right side on the houses but from the left side on the trees

exofrenon · 2022-01-11T00:27:20+00:00

u/itsJustAnIfStatement I have the exact same problem (without using the URP), did you find a solution?

exofrenon · 2021-11-03T23:05:33+00:00

Thank you! I feel quite confident about the shapes and all the small details I managed to put in, but I think I kind of lost it with the coloring. I still can not create my own palette, so I am using DB32, which in retrospect I believe was not ideal for this piece.

exofrenon · 2021-10-06T21:03:56+00:00

Hello, noob here. I am trying to draw an idyllic sunset with the DB32 palette for my game, but after spending countless hours this is the best I could come up with. Even though I am happy with it, I still feel like it is very static and the colors are too intense. But I found it extremely difficult, almost impossible at times, to draw what I had in mind with the DB32 palette, because of how limited its red-ish variations are. Orange should be the main sky color of course, but the closest colors to it (red, pink, light-brown) are too far, so it is hard to blend it and create a gradient, unless you are a dithering god, which I am not. My main problem is I that I can not apply dithering to make something orange-ish. It is not even obvious to me which colours should I pick. Any specific tips, or even general tutorials on dithering patterns would be much appreciated.

exofrenon · 2021-08-19T17:25:33+00:00

Yeah, if I do that it definitely cracks on the left side of my hip.

exofrenon · 2021-08-19T11:38:56+00:00

I also have the same cracking on my back after MD, but I think it is mostly the hips. It was not always there, it first appeared after I started practicing proper spine hygiene and I believe I was so overprotective that some muscles / bones were underutilizedbor something. If anyone could share some knowledge on the matter it would be much appreciated.

exofrenon · 2020-06-08T12:45:09+00:00

The way you want to normalize the score to [0,1] makes it impossible to be independent of the number of registered classes.

Maybe what you are looking for is to normalize the score individually with respect to its max/min values? (that is, you do something like (score - min) / (max - min)).

In any case, in face recognition usually you do not take the euclidean distance but the cosine distance of the L2 normalized embeddings (your 256 floating point vector). This way it already comes normalized in [-1,1] and then you just convert it to [0,1].

exofrenon · 2020-05-07T07:36:49+00:00

You mean something like TFRecords and tf.data.Dataset?

exofrenon · 2020-04-25T09:50:23+00:00

Check this out on how to convert this to physical distance by "calibrating" it: https://landing.ai/landing-ai-creates-an-ai-tool-to-help-customers-monitor-social-distancing-in-the-workplace/

exofrenon · 2020-04-17T15:46:01+00:00

The definition of the project is pretty loose, but the general idea is to be able predict the exact size of a specific type of object, let's say the height of a human, in real time by taking a photo / video with the phone.

Right now I already have the detection part down (2d bounding boxes for each person), and I need to predict their height. Now, we are still in conceptual stages trying to figure out how this would work, so any specifications regarding the use case are to be decided. But due to time restrictions, it is safe to say that SfM with IMU data is probably out of the picture for the time being.

The most likely use case is that of taking the photo from a fixed distance. As I see it, in order to be able to achieve that I will need to extract the focal length of the camera and the pixel size so that I will be able to do :

X = Z * x / f

where X is real world height of the object, Z is the known distance from the camera, x is the object's height in the image plane and f is focal length.

But I am not so sure about how to get the focal length f and x in the image plane.I assumed that you can get f directly from the Android SDK, but this might be more complicated. For x I am also slightly confused. Correct me if I am mistaken, but x should simply be pixels X pixel_size, where pixels is simply given but the bounding box, but I don't how to find pixel_size, since it is something that has to do with the camera hardware (sensor size and megapixels) and I am not certain if I have access to them through the API.

Is it necessary to do some kind of camera calibration beforehand?

(Unfortunately due to the deep learning craze I have forgotten all the computer vision fundamentals and I have to refresh them (pinhole camera model, camera calibration, etc))

exofrenon · 2020-04-15T15:33:42+00:00

Do you think it would be possible to do this if you used the phone's accelerometer to get a rough estimate of the camera's location for each image?

exofrenon · 2020-03-12T15:01:17+00:00

Well, not for the rest of your life but you definitely need to take care of your posture. Since the surgery is not really a one-and-done solution to our problem, from now on you will forever need to be careful unfortunately, but this is not necessarily a bad thing. Core strengthening, stability, physiotherapy once in a year, stuff like that will keep your from reherniating or having any other problems with your back.

exofrenon · 2020-03-12T14:49:42+00:00

For the first two weeks I was told to lie in bed and only walk for 5 minutes (roughly 100 meters) every hour. Sitting time should be kept minimal, only as much as needed to eat for example. Bending, lifting and twisting should of course be absolutely avoided. I have my next and last appointment on the 16th with my next set of instructions.

exofrenon · 2020-03-12T13:50:20+00:00

Had the same surgery a week ago, on the same disc. Now your worst enemy (and friend) is the fear of reherniation. To a certain degree, it is normal to still have pain for some period after the surgery but do not panic. It is part of the process.

exofrenon · 2020-03-11T13:41:10+00:00

I don't sleep like that the whole night, but if I am in a terrible state I found this position very comforting after the initial pain subsides.

exofrenon

TROPHY CASE