🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署,支持Android与iOS。
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Updated
May 17, 2022 - C++
🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署,支持Android与iOS。
Real-time object detection on Android using the YOLO network with TensorFlow
Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22
Geometric Augmentation for Text Image
GUI for marking bounded boxes of objects in images for training neural network YOLO
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
A c++ implementation of yolov5 and deepsort
A deep learning based algorithm to detect rotated object, for example, objects in remote sensing images
Real-time detection of diverse dynamic objects in complex environments.
The LiDAR segmenters library, for segmentation-based detection.
🚀 你的YOLO部署神器。TensorRT Plugin、CUDA Kernel、CUDA Graphs三管齐下,享受闪电般的推理速度。| Your YOLO Deployment Powerhouse. With the synergy of TensorRT Plugins, CUDA Kernels, and CUDA Graphs, experience lightning-fast inference speeds.
Detection of CCTag markers made up of concentric circles.
Detection and Tracking of Moving Objects (DATMO) using sensor_msgs/Lidar.
VM detection library and tool
This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset
OpenCV implementation of lane and vehicle tracking
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