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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

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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]

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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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/**
 * Resize the image to a new width and height using nearest neigbor algorithm. To make the image scale
 * proportionally, use 0 as the value for the wide or high parameter.
 * For instance, to make the width of an image 150 pixels, and change
 * the height using the same proportion, use resize(150, 0). 
 * Otherwise same usage as the regular resize().
 * 
 * Note: Disproportionate resizing squashes the "pixels" from squares to rectangles. 
 * This works about 10 times slower than the regular resize. Any suggestions for performance increase are welcome.
 */

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/**
 * Resize the image to a new width and height using nearest neighbor algorithm.
 * To make the image scale proportionally,
 * use 0 as the value for the wide or high parameters.
 * For instance, to make the width of an image 150 pixels,
 * and change the height using the same proportion, use resize(150, 0). 
 * Otherwise same usage as the regular resize().
 * 
 * Note: Disproportionate resizing squashes "pixels" from squares to rectangles. 
 * This works about 10 times slower than the regular resize.

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javascript:(function(){
    const MY_MASTO_LOCAL_DOMAIN = 'front-end.social'; /* 👈 Change this value */
    const MY_MASTO_WEB_DOMAIN = MY_MASTO_LOCAL_DOMAIN; /* 👈 Only change this value if your Masto host is hosted an different domain than the LOCAL_DOMAIN */

    function tryAndGetUserName() {
        /* Profile with a moved banner (e.g. https://mastodon.social/@bramus): follow that link */
        const userNewProfile = document.querySelector('.moved-account-banner .button')?.getAttribute('href');
        if (userNewProfile) {
            return userNewProfile.substring(2);
        }

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Encoding Video

Installing

Install FFmpeg with homebrew. You'll need to install it with a couple flags for webm and the AAC audio codec.

brew install ffmpeg --with-libvpx --with-libvorbis --with-fdk-aac --with-opus

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let heights = [];
let moving_heights = [];
let r = 0;

function setup() {
    createCanvas(800, 400, WEBGL);
    for (let i=0; i<17; i++) {
        heights.push([]);
        moving_heights.push([]);
        for (let j=0; j<17; j++) {

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float map(float value, float min1, float max1, float min2, float max2) {
  return min2 + (value - min1) * (max2 - min2) / (max1 - min1);
}

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import numpy as np
import pandas as pd

from pyntcloud import PyntCloud

import binvox_rw

cloud = PyntCloud.from_file("test/00000.txt",
                            sep=" ",
                            header=0,