Computer Vision
Active member of PyImageSearch University
OpenCV - Computer Vision I with Python
Duration: 10 weeks, pass rate of 96%
Topics:
- Basic Image Operations
- Video I/O and GUI
- Binary Image Processing
- Image Enhancement and Filtering
- Geometric Transformations on Image Features
- Image Recognition
- Video Analysis
- Advanced Image Processing and Computational Photography
OpenCV - Computer Vision II with Python
Duration: 11 weeks, pass rate of 94%
Topics:
- Facial Landmark Detection
- Applications of Facial Landmarks
- Face Recognition
- Neural Networks
- Leveraging pre-trained models
- Object Detection
- Train a custom object detector using YOLO
- Text Detection & Recognition
- Deployment on Cloud
OpenCV - Deep Learning with PyTorch
Duration: 10 weeks, pass rate of 97%
Topics:
- Neural Networks
- Convolutional Neural Networks
- Practial considerations for training\\Deep Neural Networks
- Best Practices in Deep Learning
- Object Detection
- Single Stage Object Detector
- Segmentation
- Pose Estimation
- Azure Deployment and Cognitive Services
- LibTorch
