This repo illustrates how to use OpenCV in a live application. Specifically, this provides examples of how to detect faces using Haar-like features and pedestrians using the Histogram of Oriented Gradients (HoG). There are four folders in this repo:
- XML_files: A folder containing XML files used for Haar cascades
- local_dev: A local Python implementation of the two aforementioned algorithms
- local_flask_app: A local flask implementation of the face detection algorithm
- cf_flask_app: A flask implementation of the face detection algorithm that can be pushed to Cloud Foundry
View the final application here.