Face Time Lapse

1. Goal

Show how my face and hair style changes from time to time

Input: a bunch of selfie

Output: a short clip show the change

2. Plan

1. Collect data (image) from camera and phone
2. Put into Lightroom in a album for organization and further development
3. Output the image with time-tagged prefix
4. Remove the background (maybe not)
5. Use computer vision to detect the face and crop

3. Code

Eye alignment is the key process

https://github.com/hujunhan/eyelign

1. main.py use machine learning to do the most job
2. gui_manual_align.py use GUI to manual align the corner case

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Generate the timelapse

ffmpeg \
-framerate 15 \
-pattern_type glob \
-i "/Users/Hu/Downloads/output/*.jpg" \
-s:v 500x500 \
-c:v libx264 \
-crf 17 \
-pix_fmt yuv420p \
timelapse.mp4

New setting

ffmpeg \
  -framerate 30 \
  -pattern_type glob \
  -i "/Users/Hu/Downloads/fog/*.jpg" \
  -s:v 4096x2750 \
  -c:v h264_videotoolbox \
  -q:v 40 \
  timelapse_fog_264.mp4

h264_videotoolbox is used since Apple M series support hardware encode

DS