VideoSentimentAnalysis

Implementation of gender and sentiment recognition on real-time video streams.

Installation

Pre-requisites:

Have Python 3 installed. On macOS, this could be installed from homebrew or even via standard Python 3.6 downloaded installer from https://www.python.org/download. On Linux, just use your package manager.
On macOS:
- Install XCode from the Mac App Store (or install the XCode command line utils).
- Have homebrew installed
On Linux:
- For a full list of apt packages required, check out the example Dockerfile and copy what's installed there.
- These instructions assume you are using Ubuntu 16.04 or newer. If you are using 14.04, you can try these installation instructions instead to work around the old CMake version.
These instructions assume you don't have an nVidia GPU and DON’T have Cuda and cuDNN installed and don't want GPU acceleration (since none of the current Mac models support this).

Clone repository:

git clone https://github.com/davisking/dlib.git

Build dlib for Python 3:

cd dlib mkdir build; cd build; cmake .. -DDLIB_USE_CUDA=0 -DUSE_AVX_INSTRUCTIONS=1; cmake --build .

cd .. python3 setup.py install --yes USE_AVX_INSTRUCTIONS --no DLIB_USE_CUDA

Verify by running python3 and type import lib

Clone Axionable repository git clone https://github.com/Axionable/RealTimeEmotion

Install face_recognition pip3 install face_recognition

Dlib XXXX
Facial recognition python