Mohammad Reza Taesiri taesiri

Streaming your Linux desktop to Youtube and Twitch via Nvidia's NVENC and VAAPI:

Considerations to take when live streaming:

The following best practice observations apply when using a hardware-based encoder for live streaming to any platform:

Set the buffer size (-bufsize:v) equal to the target bitrate (-b:v). You want to ensure that you're encoding in CBR mode.
Set up the encoders as shown:

Using TensorFlow for Fast Style Transfer

Directions for using TensorFlow with the Fast-Style-Transfer repo.

This aritcle assumes that you followed the setup directions found here OR that you have python correctly setup on your machine with an anaconda environment that has TensorFlow installed.

Clone the Fast-Style-Transfer repo: $ git clone https://github.com/lengstrom/fast-style-transfer.git

$ cd fast-style-transfer

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	import tensorflow as tf
	import numpy as np
	import os
	import gym
	import time
	import sklearn
	import itertools
	import sklearn.pipeline
	import sklearn.preprocessing
	from sklearn.kernel_approximation import RBFSampler

	from keras import applications
	from keras.preprocessing.image import ImageDataGenerator
	from keras import optimizers
	from keras.models import Sequential, Model
	from keras.layers import Dropout, Flatten, Dense, GlobalAveragePooling2D
	from keras import backend as k
	from keras.callbacks import ModelCheckpoint, LearningRateScheduler, TensorBoard, EarlyStopping

	img_width, img_height = 256, 256

	from keras import applications
	from keras.preprocessing.image import ImageDataGenerator
	from keras import optimizers
	from keras.models import Sequential, Model
	from keras.layers import Dropout, Flatten, Dense, GlobalAveragePooling2D
	from keras import backend as k
	from keras.callbacks import ModelCheckpoint, LearningRateScheduler, TensorBoard, EarlyStopping

	img_width, img_height = 256, 256
	train_data_dir = "data/train"

	import matplotlib.pyplot as plt
	import numpy as np

	def show_images(images, cols = 1, titles = None):
	"""Display a list of images in a single figure with matplotlib.

	Parameters
	---------
	images: List of np.arrays compatible with plt.imshow.

	#!/bin/bash

	# Give the usual warning.
	clear;
	echo "[INFO] Automated Android root script started.\n\n[WARN] Exploit requires sdk module \"NDK\".\nFor more information, visit the installation guide @ https://goo.gl/E2nmLF\n[INFO] Press Ctrl+C to stop the script if you need to install the NDK module. Waiting 10 seconds...";
	sleep 10;
	clear;

	# Download and extract exploit files.
	echo "[INFO] Downloading exploit files from GitHub...";

	// NOTE DONT put in an editor folder

	using UnityEngine;
	public class ReadOnlyAttribute : PropertyAttribute { }