FFMPEG with NVIDIA Acceleration on Ubuntu 16.04 (NVENC SDK)

The Video Codec SDK includes a complete set of high-performance tools, samples and documentation for hardware accelerated video encode and decode on Windows and Linux. The SDK consists of two hardware acceleration interfaces: NVENCODE API for video encode acceleration NVDECODE API for video decode acceleration (formerly called NVCUVID API) NVIDIA GPUs contain one or more... Continue Reading →

Installing Caffe on Ubuntu 16.04 with CUDA8, cuDNN, OpenCV and FFMPEG (NVENC SDK)

Before following these steps make sure you have already installed Nvidia drivers and Cuda Toolkit 8 make sure everything is updated to the latest version: sudo apt-get update sudo apt-get upgrade  let’s install all the necessary packages: sudo apt-get install build-essential make cmake cmake-curses-gui g++ tmux git pkg-config libjpeg8-dev \ libjasper-dev libpng12-dev libglew1.6-dev libgtk2.0-dev \ libavcodec-dev libavformat-dev libavutil-dev libswscale-dev libv4l-dev gfortran sudo apt-get install libtiff5-dev   # allows for easy install/uninstall of packages from source sudo apt-get install -y checkinstall We need a library for computing optimization purpose. We will use openblas and linear algebra library. sudo apt-get -y install libblas-dev libopenblas-dev libatlas-base-dev liblapack-dev gfortran Now to install boost, run: sudo apt-get install libboost-all-dev If later in the installation process you find that any of the boost related files are missing, run the following command. You can skip this one for now but won't hurt if you do it either. sudo apt-get -y install --fix-missing libboost-all-dev Go ahead and install libfaac-dev package sudo apt-get install libfaac-dev... Continue Reading →

Cuda on Backtrack 5 R2

After some pyrit problem this is guide to install cuda on Backtrack 5 R2. This guide is to configure cuda drivers and running parallel processing. Start by preparing your kernel sources for the Nvidia driver installation: root@bt:~# prepare-kernel-sources root@bt:~# cd /usr/src/linux root@bt:~# cp -rf include/generated/* include/linux/ Download Nvidia drivers according to your CPU architecture http://www.nvidia.in/Download/indexsg.aspx?lang=en-in... Continue Reading →


Taking Self pic or family pics is tough to manage but with Swivl you dont have to worry about anything it is a personal robotic cameraman that's smart enough to pan and tilt on its own, keeping whoever is holding its electronic marker in the frame. Perfect for webcam use and self-recording, its electronic marker... Continue Reading →

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