Anon Ymous ancientstraits
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| // This function, is one of the BIGGEST endeavors I have ever taken on. | |
| // This function is something I have spent DAYS on. | |
| // I think it might have started on Thursday, or even earlier. | |
| // I was able to convert `swivel_vert` to matrix form, with one catch: | |
| // z' = z is not possible. So z' = -zcoord here. | |
| // I wonder if after successfully implementing this function, | |
| // I'll even want to work on the game anymore. | |
| // What if I feel burnt out, before I even started making the game? | |
| // Hopefully that does not happen. |
ancientstraits
/ LEDSubsystem.java
Created
March 27, 2025 00:43
LED Subsystem with Trapezoid and Physics Object
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| package frc.robot; | |
| import static edu.wpi.first.units.Units.Inches; | |
| import static edu.wpi.first.units.Units.InchesPerSecond; | |
| import edu.wpi.first.math.MathUtil; | |
| import edu.wpi.first.wpilibj.AddressableLED; | |
| import edu.wpi.first.wpilibj.AddressableLEDBuffer; | |
| import edu.wpi.first.wpilibj.LEDPattern; | |
| import edu.wpi.first.wpilibj.LEDPattern.GradientType; |
ancientstraits
/ mirror_pathplanner_auto.py
Created
March 22, 2025 14:08
Python script to mirror pathplanner autos (Warning: .path files may get overwritten!)
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| import json | |
| import re | |
| FIELD_Y_DIM = (26*12 + 5) * 0.0254 | |
| PATHPLANNER_ROOT = 'src/main/deploy/pathplanner' | |
| PATHPLANNER_PATHS = f'{PATHPLANNER_ROOT}/paths' | |
| PATHPLANNER_AUTOS = f'{PATHPLANNER_ROOT}/autos' | |
| # returns new position for align command | |
| def flip_align_position(position: int) -> int: |
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| import fs from 'node:fs' | |
| const imports = [ | |
| { alias: 'firebase/app', path: '@firebase/app' }, | |
| { alias: 'firebase/auth', path: '@firebase/auth' }, | |
| { alias: 'firebase/database', path: '@firebase/database' } | |
| ] | |
| if (!fs.existsSync('node_modules')) { | |
| console.error('Please run `npm i`') |
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| package frc.robot; | |
| import java.io.FileInputStream; | |
| import java.io.FileOutputStream; | |
| import java.nio.ByteBuffer; | |
| import com.ctre.phoenix6.mechanisms.swerve.LegacySwerveRequest.RobotCentric; | |
| import com.ctre.phoenix6.swerve.SwerveRequest; | |
| import edu.wpi.first.wpilibj2.command.Command; |
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| #include <Wire.h> | |
| void sensorSetup(TwoWire& sensor) { | |
| sensor.begin(); | |
| sensor.beginTransmission(0x52); | |
| // MAIN_CTRL (only turn on proximity sensor) | |
| sensor.send(0x00); | |
| sensor.send(0b00000111); |
ancientstraits
/ GalactechSensor.ino
Created
February 7, 2025 01:40
Galactech Teensy 4.0 Light Sensor
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| #include <Wire.h> | |
| void setup() { | |
| // put your setup code here, to run once: | |
| pinMode(0, OUTPUT); | |
| Wire.begin(); | |
| Serial.begin(115200); | |
| Wire.beginTransmission(0x52); | |
| // MAIN_CTRL (only turn on proximity sensor) |
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| import wave | |
| from pathlib import Path | |
| import json | |
| import time | |
| import sys | |
| import keyboard | |
| import pyaudio | |
| writing = False | |
| reverse = False |
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta name="viewport" content="width=device-width"> | |
| <title>gl</title> | |
| <link href="style.css" rel="stylesheet" type="text/css"/> | |
| </head> |
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| Abstract: We present the first deep learning model for segmenting galactic spiral arms and bars. In a blinded assessment by expert astronomers, our predicted spiral arm masks are preferred over both current automated methods (99% of evaluations) and our original volunteer labels (79% of evaluations). Experts rated our spiral arm masks as `mostly good' to `perfect' in 89% of evaluations. Bar lengths trivially derived from our predicted bar masks are in excellent agreement with a dedicated crowdsourcing project. The pixelwise precision of our masks, previously impossible at scale, will underpin new research into how spiral arms and bars evolve. | |
| Summary: Scientists have introduced a groundbreaking deep learning model designed for accurately segmenting galactic spiral arms and bars, outperforming current automated methods and even original volunteer labels, according to expert astronomers in a blinded assessment. With 89% of evaluations rating the predicted spiral arm masks as 'mostly good' to 'perfect,' the mod |
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