Course description

Live video to sketch using deep learning is a process of converting a live video stream into a sketch or a line drawing in real-time using machine learning algorithms. This involves training a deep learning model to recognize and extract edges and contours from the video frames, and then applying a sketching algorithm to generate the final output. The goal of this process is to provide a new and interesting way to view live video content, as well as to enable new applications such as real-time sketching and artistic rendering of video content. The process typically involves several steps including data collection, preprocessing, training the model, and finally applying the model to the live video stream.

What will i learn?

• Live video to sketch using deep learning can be used to generate artistic renditions of live video streams. This can create unique and interesting visual experiences, as well as inspire creativity in artists and designers.
• Live video to sketch using deep learning can enable real-time sketching, which can be useful for applications such as digital whiteboarding, visual note-taking, and live event sketching.
• Live video to sketch using deep learning can also be used to enhance video compression techniques by reducing the amount of data required to transmit or store video. This can lead to faster streaming and reduced storage requirements.
• Live video to sketch using deep learning can be used to detect and track objects in real-time, enabling applications such as security monitoring, traffic analysis, and sports analysis.