GitHub topics: flexx2
AntonioPedro07/YoloKeras-Detection
Repository with implementations and comparisons of two advanced object detection models: YOLO and Keras. The goal is to provide a unified platform to explore, test, and compare the performance of these models across diverse datasets and scenarios.
Language: Python - Size: 1.93 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
AntonioPedro07/Publisher-Detection
This project uses ROS (Robot Operating System) and OpenCV to detect objects in images captured by a camera and publishes the results in a ROS topic. It is composed of two main nodes: a node for detecting objects and another for publishing the results.
Language: CMake - Size: 30.3 KB - Last synced at: 10 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
AntonioPedro07/YoloFaster_Rcnn-Detection
Repository with implementations and comparisons of two advanced object detection models: YOLO and Faster R-CNN. The goal is to provide a unified platform to explore, test, and compare the performance of these models across diverse datasets and scenarios.
Language: Python - Size: 56.6 KB - Last synced at: 10 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
pmdtechnologies/SampleYOLO
This example shows how to detect objects in an image using Royale's Python wrapper and the pre-trained YOLO network
Language: Python - Size: 52.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
pmdtechnologies/SamplePCL
This tutorial shows how to use different functionalities of the Point Cloud Library (PCL) together with Royale.
Language: C++ - Size: 33.2 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
pmdtechnologies/SampleOpenCV
This tutorial explains the "sampleOpenCV" which shows how you can use OpenCV with Royale.
Language: C++ - Size: 19.5 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0