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/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
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 = []

n1ckfg

/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
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

n1ckfg

#!/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" 

n1ckfg

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

n1ckfg

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]

n1ckfg

/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
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

n1ckfg

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):

n1ckfg

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

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#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check

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import os

with open("names.txt", "r") as file:
    lines = file.readlines()
    
    for line in lines:
        folder_name = line.strip().replace(" ", "_")
        os.makedirs(folder_name, exist_ok=True)
        print(f"Created folder: {folder_name}")