Nick Fox-Gieg n1ckfg

## hydra_latk_002.js
/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
licensed with CC BY-NC-SA 4.0 https://creativecommons.org/licenses/by-nc-sa/4.0
Nick Fox-Gieg  /  @n1ckfg  /  fox-gieg.com
 * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */

await loadScript("https://unpkg.com/latk@1.0.3/latk.js")
p = new P5({mode: 'WEBGL'}) // loads p5js library, comment this line after using it once
p.hide() // hide p5js canvas.

currentFrame = 0

## latk_p5_drawing_example.js
<!DOCTYPE html>
<html>

	<head>
		<style>
			body {
				background: black;
			}
		</style>
		<script src="https://unpkg.com/p5@1.9.1/lib/p5.min.js"></script>

## hydra_draw_example_002.js
/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
licensed with CC BY-NC-SA 4.0 https://creativecommons.org/licenses/by-nc-sa/4.0
Nick Fox-Gieg  /  @n1ckfg  /  fox-gieg.com
 * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */

p = new P5({width: 500, height: 500, mode: 'WEBGL'}) // loads p5js library, comment this line after using it once
p.hide() // hide p5js canvas.


polylines = []

## hydra_draw_example_001.js
/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
licensed with CC BY-NC-SA 4.0 https://creativecommons.org/licenses/by-nc-sa/4.0
Nick Fox-Gieg  /  @n1ckfg  /  fox-gieg.com
 * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */

p = new P5({mode: 'WEBGL'}) // loads p5js library, comment this line after using it once
p.hide() // hide p5js canvas.

rot = 0
rotDelta = 0

## loop_omxplayer.sh
#!/bin/sh
# https://github.com/greymechanic/loopVideo

# clear terminal text, set background to black, and hide the cursor
setterm -cursor off
setterm -term linux -background black
setterm -term linux clear

# this is the path to the directory containing your videos
VIDEOPATH="/home/pi/Videos"

## JetsonNanoTensorFlowBuildGPU.md

      
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                n1ckfg
                / JetsonNanoTensorFlowBuildGPU.md
            
            
              Created
              April 16, 2024 19:15
                — forked from sdeoras/JetsonNanoTensorFlowBuildGPU.md
            
              
                Building TensorFlow C-library for Nvidia Jetson Nano
              
          
    Steps to build TensorFlow v1.12.0 C-library on Jetson Nano for GPU

Jetson Nano configuration


ARM 64 (aarch64)
gcc 7.3
cuda 10
cudnn 7

TensorFlow configuration


v1.12.0


## camera.py
import numpy as np

def perspective_fov(fov, aspect_ratio, near_plane, far_plane):
	num = 1.0 / np.tan(fov / 2.0)
	num9 = num / aspect_ratio
	return np.array([
		[num9, 0.0, 0.0, 0.0],
		[0.0, num, 0.0, 0.0],
		[0.0, 0.0, far_plane / (near_plane - far_plane), -1.0],
		[0.0, 0.0, (near_plane * far_plane) / (near_plane - far_plane), 0.0]

## hydra_latk_001.js
/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
licensed with CC BY-NC-SA 4.0 https://creativecommons.org/licenses/by-nc-sa/4.0
Nick Fox-Gieg  /  @n1ckfg  /  fox-gieg.com
 * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */

await loadScript("https://unpkg.com/latk@1.0.3/latk.js")

latk = Latk.read("https://raw.githubusercontent.com/LightningArtist/latk-test-files/main/latk_logo.latk")

p = new P5({mode: 'WEBGL'}) // loads p5js library, comment this line after using it once

## comma_check_csv.py
import csv

with open("tiltset_credits_unique_13908_cleaned.csv", "r") as file:
	csv_reader = csv.reader(file)

	extra_comma_counter = 0

	for i, line in enumerate(csv_reader):
		num_commas = len(line) - 1
		if (num_commas > 1):

## check_gpu.py
import torch
import onnxruntime as ort

torch.cuda.is_available() # Nvidia or AMD GPU
torch.backends.mps.is_available() # Apple GPU

ort.get_device() # any GPU
	/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
	licensed with CC BY-NC-SA 4.0 https://creativecommons.org/licenses/by-nc-sa/4.0
	Nick Fox-Gieg / @n1ckfg / fox-gieg.com
	* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */

	await loadScript("https://unpkg.com/latk@1.0.3/latk.js")
	p = new P5({mode: 'WEBGL'}) // loads p5js library, comment this line after using it once
	p.hide() // hide p5js canvas.

	currentFrame = 0
	<!DOCTYPE html>
	<html>

	<head>
	<style>
	body {
	background: black;
	}
	</style>
	<script src="https://unpkg.com/p5@1.9.1/lib/p5.min.js"></script>
	#!/bin/sh
	# https://github.com/greymechanic/loopVideo

	# clear terminal text, set background to black, and hide the cursor
	setterm -cursor off
	setterm -term linux -background black
	setterm -term linux clear

	# this is the path to the directory containing your videos
	VIDEOPATH="/home/pi/Videos"
	import numpy as np

	def perspective_fov(fov, aspect_ratio, near_plane, far_plane):
	num = 1.0 / np.tan(fov / 2.0)
	num9 = num / aspect_ratio
	return np.array([
	[num9, 0.0, 0.0, 0.0],
	[0.0, num, 0.0, 0.0],
	[0.0, 0.0, far_plane / (near_plane - far_plane), -1.0],
	[0.0, 0.0, (near_plane * far_plane) / (near_plane - far_plane), 0.0]
	import csv

	with open("tiltset_credits_unique_13908_cleaned.csv", "r") as file:
	csv_reader = csv.reader(file)

	extra_comma_counter = 0

	for i, line in enumerate(csv_reader):
	num_commas = len(line) - 1
	if (num_commas > 1):
	import torch
	import onnxruntime as ort

	torch.cuda.is_available() # Nvidia or AMD GPU
	torch.backends.mps.is_available() # Apple GPU

	ort.get_device() # any GPU