hum4n0id

• Gstreamer Pipeline Samples
  • Video
    • display test video
    • record to file
    • record and display at the same time(queue)
    • record webcam to *.mp4(jetson nano)
    • fps test
  • Audio
  • Mux Video and Audio
• Media File

cecilemuller

How to create an HTTPS certificate for localhost domains

This focuses on generating the certificates for loading local virtual hosts hosted on your computer, for development only.

Do not use self-signed certificates in production ! For online certificates, use Let's Encrypt instead (tutorial).

zhreshold

sudo apt update
sudo apt-get -y install g++ freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev libgfortran3
wget 'https://developer.nvidia.com/compute/cuda/9.2/Prod2/local_installers/cuda_9.2.148_396.37_linux' -O cuda92.run
wget 'https://developer.nvidia.com/compute/cuda/9.2/Prod2/patches/1/cuda_9.2.148.1_linux' -O patch1.run
sudo sh cuda92.run
sudo sh patch1.run

echo "# CUDA9.2" >> ~/.bashrc
echo "export PATH=/usr/local/cuda/bin:\$PATH" >> ~/.bashrc
echo "export LD_LIBRARY_PATH=/usr/local/cuda/lib64:\$LD_LIBRARY_PATH" >> ~/.bashrc

andrewserong

import React from 'react';
import videojs from 'video.js';
import 'video.js/dist/video-js.css';

// video.js player from the docs: https://github.com/videojs/video.js/blob/master/docs/guides/react.md

class VideoPlayer extends React.Component {
  componentDidMount() {
    // instantiate Video.js
    this.player = videojs(this.videoNode, this.props, function onPlayerReady() {

mrbar42

running:

bash create-vod-hls.sh beach.mkv

will produce:

    beach/
      |- playlist.m3u8
 |- 360p.m3u8

vrjkmr

# Create dictionary of target classes
label_dict = {
 0: ‘T-shirt/top’,
 1: ‘Trouser’,
 2: ‘Pullover’,
 3: ‘Dress’,
 4: ‘Coat’,
 5: ‘Sandal’,
 6: ‘Shirt’,
 7: ‘Sneaker’,

vgpena

import json
import numpy as np
import keras
import keras.preprocessing.text as kpt
from keras.preprocessing.text import Tokenizer
from keras.models import model_from_json

# we're still going to use a Tokenizer here, but we don't need to fit it
tokenizer = Tokenizer(num_words=3000)
# for human-friendly printing

jinyu121

# -*- coding: utf-8 -*-

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import argparse
import numpy as np
import os
import random

seovchinnikov

# -*- coding: utf-8 -*-
"""ResNet50 model for Keras with fused intermediate layers

# Reference:
    https://arxiv.org/pdf/1604.00133.pdf


Adapted from original resnet
"""
from __future__ import print_function

nikitametha

This is a guide on how to install Caffe for Ubuntu 16.04 and above, without GPU support (No CUDA required).

Prerequisites:

OpenCV

sudo apt-get install libopencv-dev python-opencv

OpenBLAS OR Atlas