Facial Feature Search Engine for Some Photo Sharing Website
Clone or download
Latest commit c15d141 Jun 28, 2017
Type Name Latest commit message Commit time
Failed to load latest commit information.
iffse updated readme Jun 18, 2017
static minor bug fixes Jun 17, 2017
templates . Jun 20, 2017
.gitignore search using annoy indexing Jun 17, 2017
LICENSE baseline scripts Jun 11, 2017
README.md . Jun 28, 2017
app.py try catches Jun 20, 2017
config.py more refined mvp Jun 17, 2017
requirements.txt requirements and some frontend bug Jun 18, 2017
scrapper.py requirements and some frontend bug Jun 18, 2017



Facial Feature Search Engine for some Photo Sharing Website


The recommended way of installing a local copy of facemaps is to use a python 3.6 conda environment:

wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O conda.sh
chmod +x conda.sh
bash conda.sh
source ~/.bashrc # or `source ~/.zshrc` if you're using zsh

# Create new conda env and use it
conda create -n facemaps python=3.6 anaconda
source activate facemaps

# Annoy Issue:
# Annoy uses libstdc++, Anaconda provides its own libstdc++,
# to use annoy in Anaconda, run:
cp /usr/lib/x86_64-linux-gnu/libstdc++.so.6 $CONDA_PATH/envs/facemaps/lib 


conda install -c conda-forge dlib=19.4
conda install pytorch torchvision -c soumith
pip install -r requirements.txt

Deploying a local copy

  1. Before anything, you'll need to download a copy of the pretrained weights:
git clone https://github.com/kendricktan/iffse.git
cd iffse
mkdir pretrained_weights
wget https://github.com/ageitgey/face_recognition_models/raw/master/face_recognition_models/models/shape_predictor_68_face_landmarks.dat -O ./pretrained_weights/shape_predictor_68_face_landmarks.dat
wget https://www.dropbox.com/s/lhus56cn1xikzeb/openface_cpu.pth?dl=1 -O ./pretrained_weights/openface_cpu.pth
  1. Time to scrap some data! I've written async multi-threaded scrapper that doesn't require any instagram credentials :-). The following tags are used int scrapper.py, change them to whatever tags you want to scrap (e.g. #NYC, #gymlife)
# What kind of tags do we want to scrap
tags_to_be_scraped = [
    'selfie', 'selfportait', 'dailylook', 'selfiesunday',
    'selfietime', 'instaselfie', 'shamelessselefie',
    'faceoftheday', 'me', 'selfieoftheday', 'instame',
    'selfiestick', 'selfies'
  1. Run python scrapper.py and wait for a few hours / days. Ideally you do this step on a C4 instance on AWS as it'll max out your cores.

  2. Run server

# If you're running it for the first time
# or want to update search indexes
python app.py --rebuild-tree

# Otherwise
python app.py

Special thanks:

OpenFacePytorch - OpenFace's nn4.small2.v1.t7 model in PyTorch