Tensorflow Realtime Face Detection

Getting Started:

• edit config.yml for your environment. (Ex. video_input: 0 # for PC)
• run python run_stream.py realtime object detection from webcam (Multi-Threading)
• or run python run_video.py realtime object detection from movie file (Multi-Threading)
• or run python run_image.py realtime object detection from image file (Multi-Threading)

Requirements:

pip install --upgrade pyyaml

Also, OpenCV >= 3.1 and Tensorflow >= 1.4 (1.6 is good)

config.yml

• Model type

model_type: 'face_v0'

• Face image size Mask image size can change.

mask_size: 1.5

• See also
  https://github.com/naisy/realtime_object_detection

Related: Tensorflow Realtime Object Detection

https://github.com/naisy/realtime_object_detection

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License and Information

mask.png: Non-commercial. Internet use only. 笑い男マーク
Model: Apache 2.0 Tensorflow Face Detector
Face Dataset: WIDER FACE