RKMVERI CS/BDA, Spring 2025 (3 credits)
Details
The surge in integrating computer vision algorithms into daily activities has prompted the development of this comprehensive course. Commencing with foundational Python3 programming, the curriculum advances toward the pragmatic implementation of programming concepts using the widely recognized OpenCV library, renowned for its classical computer vision methodologies. Participants will not only explore the intricacies of the PyTorch framework but also attain mastery in designing models tailored explicitly for classification and image segmentation—critical algorithms in both industry and research domains. The course goes beyond theoretical understanding, offering potential hands-on experience in creating a deployable real-world application, effectively showcasing the practical application of acquired skills.
This introductory program seamlessly blends theoretical concepts with immersive, hands-on tutorials, making it an ideal choice for individuals eager to delve into the realm of computer vision. The tutorial-driven approach is meticulously designed to cater to those enthusiastic about applying classical and cutting-edge deep learning algorithms to real-world scenarios, thereby enriching their comprehension and practical application skills in the field. For those who have previously taken computer vision courses, there may be some overlap in theory; however, this course distinguishes itself by providing complementary support in terms of programming and application — an invaluable asset widely utilized in the industry for creating real-world applications.
We will actively use Google Space for communication and slide sharing. Please find the Google Space here.