Search Results for "opencv-mingw"

Frigate - NVR With Realtime Object Detection for IP Cameras A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Use of a Google Coral Accelerator is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead.

This is a ROS package developed for object detection in camera images. You only look once (YOLO) is a state-of-the-art, real-time object detection system. In the following ROS package, you are able to use YOLO (V3) on GPU and CPU. The pre-trained model of the convolutional neural network is able to detect pre-trained classes including the data set from VOC and COCO, or you can also create a network with your own detection objects. The YOLO packages have been tested under ROS Noetic and...

...You'll need OpenCV 2.3.1 or newer installed before installing node-opencv. You can use opencv to read in image files. Supported formats are in the OpenCV docs, but jpgs etc are supported. There is a shortcut method for Viola-Jones Haar Cascade object detection. This can be used for face detection etc.

...In the second stage, detected patterns are aggregated in order to evaluate if they are spatially arranged in a way that is geometrically consistent with the components of a QR code symbol. OpenCV 2.2+ is required.

Fast Haar-like object detection develop to CELL processor based plataform. This is reimplementing stump based algorithm of OpenCV library.

This is an object recognition library written on top of OpenCV. Scalable Multimodal Object Recognition (SMORs) is designed for real time highly accurate object detection.