Skip to content
Face Alignment for Growth Progress
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
.gitignore
README.md
progress.py
reference.jpg

README.md

page title tags date
Face Alignment for Growth Progress
python opencv
2019-05-20

Uses OpenCV to align the face in a series of photos with optional manual fine tuning.

Prerequisites

DLib Feature Model

Download the 68 feature model for face shape prediction (into the repository alongside progress.py)

wget https://github.com/davisking/dlib-models/raw/master/shape_predictor_68_face_landmarks.dat.bz2
bunzip2 shape_predictor_68_face_landmarks.dat.bz2

Environment Setup

  • Create a directory input filled with images to be processed
  • Create a directory output for the result images to be written
  • Choose a single reference photo to use and put it in the input directory
  • Run ./progress.py
  • Adjust the image as desired using Controls described below and save
  • Copy the resulting image from output and overwrite reference.jpg with the new image

Usage

  • Load up the input directory with all images and run ./progress.py to process them
  • Images will appear one-by-one with auto rotation based on detected features.
  • Use the Controls described below to fine tune image alignment as closely as needed
  • Using fix-photo-dates on the output may be helpful

Controls

  • q and e rotate left and right
  • wsad pan image
  • t and g zoom in and out (Ideally all images should be taken from the same distance so that zoom is not required)
  • r overlay reference image with working image for alignment assist
  • <enter> save image and open next
  • <spacebar> skip image and open next

Syncing from Android

Here is a simple script to sync new photos only from an Android device over adb

In this example I'm using the Open Camera app set to save images to the folder /sdcard/Progress - adjust as required.

cd input
adb ls /sdcard/Progress | grep -e "\.jpg$" | cut -d" " -f4 | grep -v -f <(echo __; ls -1; ls -1 ../done) | xargs -I{} -n 1 adb pull /sdcard/Progress/{}

Convert to Video

Here is an example of converting the images to a video. Adjust the cropping params as required.

ffmpeg -r 10 -f image2 -pattern_type glob \
  -i 'output/*.jpg' -filter:v 'crop=in_w*6/12:in_h*7/12:in_w*3/12:in_h*1/12' \
  -an -c:v libx264 -pix_fmt yuv420p -crf 25 \
  vid.mp4
You can’t perform that action at this time.