TensorFlow Computer Vision Tutorials - OpenCV Python

Overview

Dive into a series of rapid-fire tutorials covering essential computer vision techniques using TensorFlow, OpenCV Python, and MediaPipe libraries. Master face detection, pose estimation, hand tracking, face landmark detection, and object detection with YOLOv4, all at impressive frame rates. Explore how to create a user interface for computer vision applications using StreamLit, and learn to implement background removal effects similar to those used in video conferencing software. These concise, practical lessons are designed to quickly equip you with the skills to build basic yet powerful computer vision applications.

Syllabus

Face Detection Python in 5 minutes.
Pose Estimation in 7 minutes - 30 FPS on CPU Tutorial.
Hand Tracking 30 FPS on CPU in 5 Minutes | OpenCV Python | MediaPipe (2021).
Face Landmark Detection in 5 minutes : REAL-TIME using OpenCV Python | TensorFlow (2021).
StreamLit Computer Vision User Interface Course | MediaPipe OpenCV Python (2021).
YOLOv4 Object Detection 30 FPS in 7 Minutes | OpenCV Python | Computer Vision (2021).
Zoom Background Removal | OpenCV Python MediaPipe | Computer Vision 2021.
When your colleague develops a better app than yours. #SHORTS.