Installed:
sudo apt install pulseaudio-module-raop paprefs
Ran paprefs and check the option to use AirPlay speakers locally.
Restarted pulseaudio:
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| use crate::{ | |
| anim::{animation, Anim}, | |
| state, | |
| util::{detect_center_element, nodelist_to_elements, to_ws_el}, | |
| views::cards::{CardFocusArea, Cards, DragRect, Draggable}, | |
| write_state, | |
| }; | |
| use leptos::*; | |
| use std::{rc::Rc, time::Duration}; | |
| use wasm_bindgen::JsCast; |
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| """ | |
| To install additional libraries: | |
| cd /opt/blender/3.2/python/bin | |
| ./python3.10 -m ensurepip | |
| ./python3.10 -m pip install pillow shapely networkx cairosvg | |
| Python headers are required for compiling nest2d. | |
| Download the source for your blender python version | |
| (e.g. 3.10.8) from <https://www.python.org/downloads/source/> |
frnsys
/ mixamo-to-mpfb2_game_engine.bmap
Created
December 2, 2022 17:42
Mixamo to MPFB2 Game Engine remap for Auto-Rig Pro
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| head%False%ABSOLUTE%0.0,0.0,0.0%0.0,0.0,0.0%1.0%False%False% | |
| mixamorig:Head | |
| False | |
| False | |
| None%False%ABSOLUTE%0.0,0.0,0.0%0.0,0.0,0.0%1.0%False%False% | |
| mixamorig:HeadTop_End | |
| False | |
| False |
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| { | |
| "name" : "Mixamo", | |
| "url" : "", | |
| "bones" : { | |
| "mixamorig:Hips" : "hips", | |
| "mixamorig:Spine" : "spine", | |
| "mixamorig:Spine1" : "spine-1", | |
| "mixamorig:Spine2" : "chest", | |
| "mixamorig:Neck" : "neck", |
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| import bpy | |
| import bmesh | |
| from random import random, uniform, choice, randrange | |
| from mathutils import Matrix, Vector | |
| from bmesh.types import BMVert, BMFace, BMEdge | |
| from bpy.props import ( | |
| IntProperty, | |
| IntVectorProperty, | |
| FloatProperty, | |
| FloatVectorProperty, |
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| /** | |
| * @author Rich Tibbett / https://github.com/richtr | |
| * @author mrdoob / http://mrdoob.com/ | |
| * @author Tony Parisi / http://www.tonyparisi.com/ | |
| * @author Takahiro / https://github.com/takahirox | |
| * @author Don McCurdy / https://www.donmccurdy.com | |
| */ | |
| import * as THREE from 'three'; |
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| <!doctype html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"> | |
| <meta name="viewport" content="width=device-width,initial-scale=1"> | |
| <title>test</title> | |
| <link rel="stylesheet" href="style.css"> | |
| </head> | |
| <body> |
frnsys
/ linux_airplay.md
Created
April 4, 2019 17:20
frnsys
/ distributed_estimator.py
Created
November 26, 2018 15:47
example of a custom tensorflow estimator with distributed training
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| """ | |
| Tensorflow estimator API example | |
| References: | |
| - <https://www.tensorflow.org/guide/custom_estimators> | |
| - <https://github.com/tensorflow/models/blob/master/samples/core/get_started/custom_estimator.py> | |
| - <https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/distribute/README.md> | |
| """ | |
| import numpy as np | |
| import tensorflow as tf |
frnsys
/ exercise.js
Created
March 25, 2018 04:58
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| // dummy data | |
| let orders = [{ | |
| userId: 0 | |
| }, { | |
| userId: 1 | |
| }, { | |
| userId: 1 | |
| }]; | |
| let users = [{ |
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