HackerTrans
TopNewTrendsCommentsPastAskShowJobs

b_mc2

no profile record

Submissions

Notre Dame – families with incomes under $150k will pay zero tuition

news.nd.edu
3 points·by b_mc2·4 tháng trước·0 comments

Nvidia DLSS 4.5: 2nd‑Gen Transformer Super Resolution and 6× Dynamic Frame Gen

nvidia.com
2 points·by b_mc2·6 tháng trước·0 comments

Indie Game Awards retracts Indie Vanguard recognition due to ModRetro connection

twitter.com
4 points·by b_mc2·7 tháng trước·1 comments

The Great Crown Caper – Two crowns, one crime, one unsolved mystery

fightingfor.nd.edu
1 points·by b_mc2·9 tháng trước·0 comments

Corporations are trying to hide job openings from US citizens

thehill.com
683 points·by b_mc2·10 tháng trước·526 comments

SBIR Mills are draining America's innovation fund

defensescoop.com
8 points·by b_mc2·10 tháng trước·2 comments

comments

b_mc2
·7 tháng trước·discuss
Some additional context:

- Gortyn Code "Thanks" speech video [1]

- Mike Towndrow/Indie Game Awards Retraction announcement video [2]

- IGA FAQ Game Eligibility, info on retraction [3]

"Initially discovered through itch.io’s Game Boy Competition 2023 and later played on cart, Gortyn Code was selected as an Indie Vanguard due to their impressive work in GB Studio and for crafting such an amazing throwback for the modern day. The physical cart of Chantey is being produced and sold by ModRetro, and it is the sole marketplace where it can be purchased. The IGAs nomination committee were unfortunately made aware of ModRetro’s vile nature the day after the 2025 premiere with the news of their horrid and disgusting handheld console. As the company strictly goes against the values of the IGAs, and due to the ties with ModRetro, the Indie Vanguard recognition has also been retracted.

The decision does not reflect Gortyn Code, but ModRetro alone. Chantey remains a wonderful throwback to the Game Boy era. We encourage you to continue following their journey on itch.io."

- ModRetro's Anduril Edition Chromatic, all proceeds go to support veteran suicide prevention [4][5]

---

[1] https://www.twitch.tv/videos/2647339751?t=0h45m15s

[2] https://bsky.app/profile/indiegameawards.gg/post/3magufzccy2...

[3] https://www.indiegameawards.gg/faq#:~:text=Initially%20disco...

[4] https://modretro.com/products/anduril-chromatic-porta-pro-bu...

[5] https://x.com/PalmerLuckey/status/2002221958700872045
b_mc2
·7 tháng trước·discuss
These are two articles I liked that are referenced in the Python ImageHash library on PyPi, second article is a follow-up to the first.

Here's paraphrased steps/result from first article for hashing an image:

1. Reduce size. The fastest way to remove high frequencies and detail is to shrink the image. In this case, shrink it to 8x8 so that there are 64 total pixels.

2. Reduce color. The tiny 8x8 picture is converted to a grayscale. This changes the hash from 64 pixels (64 red, 64 green, and 64 blue) to 64 total colors.

3. Average the colors. Compute the mean value of the 64 colors.

4. Compute the bits. Each bit is simply set based on whether the color value is above or below the mean.

5. Construct the hash. Set the 64 bits into a 64-bit integer. The order does not matter, just as long as you are consistent.

The resulting hash won't change if the image is scaled or the aspect ratio changes. Increasing or decreasing the brightness or contrast, or even altering the colors won't dramatically change the hash value.

https://www.hackerfactor.com/blog/index.php?/archives/432-Lo...

https://www.hackerfactor.com/blog/index.php?/archives/529-Ki...