vipstone/faceai

★ 11,084PythonAudience · developerComplexity · 3/5Setup · hard

Mindmap

mindmap
  root((FaceAI))
    Capabilities
      Face detection
      Face recognition
      Emotion analysis
      Gender detection
    Visual effects
      Digital makeup
      Hat overlays
      Image colorization
    Video features
      Live webcam detection
      Object extraction
      Image inpainting
    Tech stack
      OpenCV and Dlib
      Keras and TensorFlow
      Tesseract OCR
    Audience
      Python beginners
      AI learners

mindmap root((FaceAI)) Capabilities Face detection Face recognition Emotion analysis Gender detection Visual effects Digital makeup Hat overlays Image colorization Video features Live webcam detection Object extraction Image inpainting Tech stack OpenCV and Dlib Keras and TensorFlow Tesseract OCR Audience Python beginners AI learners

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Things people build with this

USE CASE 1

Learn how to detect and recognize faces in images or live video using OpenCV and Dlib.

USE CASE 2

Experiment with adding digital makeup effects like lip color or eyebrow tinting to portrait photos.

USE CASE 3

Classify a person's emotion from a photo using a Keras model trained on seven emotion categories.

USE CASE 4

Colorize a black-and-white image automatically using deep learning in Python.

Tech stack

PythonOpenCVDlibKerasTensorFlowTesseract

Getting it running

Difficulty · hard Time to first run · 1h+

Built with specific older versions of OpenCV, Dlib, Keras, and TensorFlow, running on current versions may require manual compatibility adjustments.

No formal license is stated, the project appears to be a personal learning resource rather than software with clear usage terms.

In plain English

FaceAI is a beginner-oriented Python project that demonstrates a range of face and image processing techniques. The README is written in Chinese, and the description translates roughly to a starter-level collection covering face detection, recognition, and related visual effects. An English README is linked from the main file. The project covers about eleven capabilities. These include detecting faces in still images and video, drawing facial landmark outlines, adding hats or other overlays to a portrait, applying digital makeup such as lip color and eyebrow effects, recognizing a person's gender, and identifying one of seven emotions (anger, disgust, fear, happiness, sadness, surprise, and neutral). Additional features include extracting objects from video, restoring damaged areas of an image (which the README notes can also remove watermarks), automatically colorizing black-and-white images, and two unfinished features: eye tracking and face swapping. The technology behind each feature is spelled out: face recognition uses OpenCV and Dlib, face detection uses the face_recognition library, gender classification uses Keras and TensorFlow, and text recognition uses Tesseract OCR. The project was built and tested on Windows 10 with specific older versions of each library, so running it on a current setup may require adjustments. The README links to individual tutorial documents for each feature, covering topics like setting up the OpenCV environment, using Tesseract, detecting faces from images versus video using either OpenCV or Dlib, and applying various makeup or compositing effects. There is no formal license stated in the README. The project appears intended as a learning resource and personal project rather than production software, given the beginner framing and the two unfinished items still listed as TODO.

Copy-paste prompts

Prompt 1

Using the FaceAI project as a reference, help me write a Python script that detects faces in a webcam feed using OpenCV and draws bounding boxes around them in real time.

Prompt 2

Show me how to use the Keras emotion classifier from the faceai project to predict whether a person in a photo looks happy or sad.

Prompt 3

I want to colorize a black-and-white photo in Python like the faceai project does. Walk me through the steps and the libraries I need to install.

Prompt 4

Help me set up the faceai project dependencies on a current Python environment, it was built with older library versions so tell me which versions to pin.

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