Computer vision: Detect facial keypoints using PyTorch and OpenCV
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Updated
Jul 6, 2023 - Jupyter Notebook
Computer vision: Detect facial keypoints using PyTorch and OpenCV
For my bachelor thesis @kuleuven campus Bruges, I have to develop drone-vision based software which should be able to detect cross-objects, and detect the correct cross based upon color clustering. If an object has been detected, a direction needs to be returned to another script, which controls a drone.
Train a CNN to recognize facial expressions.
Drone detection using Haar Cascades, Yolov3 in images, videos and webcam.
This project is a lie detector created using Machine Vision technologies and methods
Face recognition using Haar Cascades for face detection and LBPH Face recognizer.
Haar cascades for face and eye detection with opencv(cv2).
A Jupyter notebook demonstrating and benchmarking various computer vision and machine learning techniques. Implementations include interactive segmentation (GrabCut), digit/letter recognition (SVM, KNN with Scikit-learn and OpenCV), pedestrian detection (HOG), and real-time face/eye detection (Haar Cascades).
Daily hands-on practice with OpenCV to master computer vision using Python and AI.
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