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Mutual labels: yolo
Mask-YOLOInspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.
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Mutual labels: yolo
object-trackingMultiple Object Tracking System in Keras + (Detection Network - YOLO)
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Mutual labels: yolo
node-moving-things-trackerjavascript implementation of "tracker by detections" for realtime multiple object tracking (MOT)
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Mutual labels: yolo
LazyREST基于Sping全家桶实现的极速产出RESTful类接口脚手架
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Mutual labels: spingboot
lightDenseYOLOA 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
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Mutual labels: yolo
multiple-object-trackingcombine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems
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Mutual labels: yolo
object-detectionObject detection on Jetson Nano, Raspberry Pi and Laptop
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Mutual labels: yolo
ffcnnffcnn is a cnn neural network inference framework, written in 600 lines C language.
Stars: ✭ 50 (+127.27%)
Mutual labels: yolo
VideoRecognition-realtime-autotrainer-alertsState of the art object detection in real-time using YOLOV3 algorithm. Augmented with a process that allows easy training of the classifier as a plug & play solution . Provides alert if an item in an alert list is detected.
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Mutual labels: yolo
go-darknetGo bindings for Darknet (YOLO v4 / v3)
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Mutual labels: yolo
YOLO-Object-Counting-APIThe code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm
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Mutual labels: yolo
PyTorch-YOLO-v2A PyTorch implementation of a YOLO v2 Object Detector
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TNN Demo🍉 移动端TNN部署学习笔记,支持Android与iOS。
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tensorflow-example-javaThis is a Tensorflow Java example application what uses YOLOv2 model and Gradle for build and dependency management.
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Mutual labels: yolo
darknet rosRobotics Operating System Package for Yolo v3 based on darknet with optimized tracking using Kalman Filter and Optical Flow.
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Mutual labels: yolo
YOLOXYOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
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Mutual labels: yolo