O'Reilly logo

Java Deep Learning Projects by Md. Rezaul Karim

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Real-Time Object Detection using YOLO, JavaCV, and DL4J

Deep Convolutional Neural Networks (DCNN) have been used in computer vision—for example, image classification, image feature extraction, object detection, and semantic segmentation. Despite such successes of state-of-the-art approaches for object detection from still images, detecting objects in a video is not an easy job.

Considering this drawback, in this chapter, we will develop an end-to-end project that will detect objects from video frames when a video clip plays continuously. We will be utilizing a trained YOLO model for transfer learning and JavaCV techniques on top of Deeplearning4j (DL4J) to do this. In short, the following topics will be covered throughout this end-to-end ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required