Unified Detection System for Automatic, Real-Time, Accurate Animal Detection in Camera Trap Images from the Arctic Tundra - Master's thesis 2017
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Updated
Dec 11, 2017 - C++
Unified Detection System for Automatic, Real-Time, Accurate Animal Detection in Camera Trap Images from the Arctic Tundra - Master's thesis 2017
faster bounding box overlap calculation
支持RTMDet、YOLOv8、YOLOX、Faster R-CNN等常见算法的ncnn部署
使用OpenCV部署faster-rcnn检测证件照,包含C++和Python两种版本的程序,仅仅只依赖opencv库就能运行
A real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module
A Fast and Open Source Autonomous Perception System.
Fusion of LiDAR and depth camera data with deep learning for object detection and classification
Self Maintained Caffe. In this version Faster-RCNN, RFCN needs layer are fully supported!
(Oriented) PsRoIAlign Operation In Tensorflow C++ API
Implementation maskrcnn-benchmark, pytorch c++ frontend
An iOS application of Tensorflow Object Detection with different models: SSD with Mobilenet, SSD with InceptionV2, Faster-RCNN-resnet101
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