computer vision learning, include python machine learning action; computer vision based on deep learning ;coursera deeplearning.ai and other cv learning materials collect ...
Tutorials of deep learning for computer vision.
Vision-Based Deep Learning: A Guidebook for High Schoolers
In summary, this project seeks to explore the science behind Neural Networks (NN), its various flavours, application areas and then finally, narrow down by applying it in the design and development of a computer vision system which can be used for traffic sign recognition and detection in autonomous vehicles. The project starts off by designing, developing, implementing and testing a model of the proposed vision system on a CPU using MATLAB and then afterwards, the performance of the implemented vision system is further optimized through vectorization, parallelism, legacy coding and heterogeneous computing. The project is concluded with detailed analysis and evaluation of the various optimization schemes utilized as well as an evaluation of the excellent Neural Network’s classification accuracy.
Course Material for "Application of Deep Learning in Computer Vision"
Hands-On Deep Learning for Computer Vision [Video], by Packt Publishing
Deep Learning for Computer Vision, by Packt
Implement complex computer vision algorithms and explore deep learning and face detection
The system takes video footage of a highway as input and provides statistics like the count of vehicles and an average estimated speed of vehicles on the highway. The statistics provided by the system can have many applications. Like, pricing the billboards on a highway for advertisement, higher the count of vehicles, higher the price. Moreover, the government can use this statistic to know how many vehicles are entering a city each day. The system internally uses YOLO object detection algorithm for vehicle detection, followed by, Centroid Tracking algorithm for tracking the detected vehicles.
PyTorch for Deep Learning and Computer Vision Course