This is the first post of a series on programming OpenCV AI Kit with Depth (OAK-D), and its little sister OpenCV AI Kit with Depth Lite (OAK-D-Lite). Both OAK-D and OAK-D Lite are spatial AI cameras. ...
Build and Install OpenCV 4 for Raspberry Pi
Raspberry Pi is a small ARM computer with a camera, a network controller, and Linux on board. That makes it a good choice for DIY computer vision projects. In this post, we will learn how to build ...
Faster R-CNN Object Detection with PyTorch
1. Image Classification vs. Object Detection Image Classification is a problem where we assign a class label to an input image. For example, given an input image of a cat, the output of an image ...
PyTorch Model Inference using ONNX and Caffe2
After the release of PyTorch in October 2016 by Facebook, it quickly gained popularity because of its developer friendliness. With its transparent and Pythonic interface, it is great for research and ...
Fast Image Downloader for Open Images V4
Last year, Google released a publicly available dataset called Open Images V4 which contains 15.4M annotated bounding boxes for over 600 object categories. It has 1.9M images and is largest among all ...
Training YOLOV3: Deep Learning Based Custom Object Detection
YOLOv3 is one of the most popular real-time object detectors in Computer Vision. In our previous post, we shared how to use YOLOv3 in an OpenCV application. It was very well received, and many ...
