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JSON2YOLOConvert JSON annotations into YOLO format.
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tfjs-yoloYOLO v3 and Tiny YOLO v1, v2, v3 with Tensorflow.js
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SequoiaA neural network for CounterStrike:GlobalOffensive character detection and classification. Built on a custom-made dataset (csgo-data-collector)
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go-darknetGo bindings for Darknet (YOLO v4 / v3)
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food-detection-yolov5🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕
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Psychic-CCTVA video analysis tool built completely in python.
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vrpdrDeep Learning Applied To Vehicle Registration Plate Detection and Recognition in PyTorch.
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sparsezooNeural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
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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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make-your-yolov5 dataset💥Make your yolov5 dataset by using labelimg.I hope my work can help you make your yolov5 datasets more quickly.
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YOLO-Object-Counting-APIThe code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm
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hexagonTabHexagon bookmarks accented with a chosen colour. Customise the layout, style, background and bookmarks with hexagonTab.
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datumaroDataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
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aikanshe使用SpingBoot、OpenCV、yolo开发舌诊小程序
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next(Work in progress) The rewritten version of the original PizzaQL 🍕
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hostbaseA Ruby GUI based on advanced rogue AP attack using the WPS
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node-moving-things-trackerjavascript implementation of "tracker by detections" for realtime multiple object tracking (MOT)
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pnnpnn is Darknet compatible neural nets inference engine implemented in Rust.
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live-cctvTo detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.
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YOLO.jlYOLO Object Detection in Julia
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react-native-shadow-2Cross-platform shadow for React Native. Supports Android, iOS, Web and Expo.
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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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car-detection-yoloAutonomous driving - car detection using the very powerful YOLO model
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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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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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YOLOv4MLNetUse the YOLO v4 and v5 (ONNX) models for object detection in C# using ML.Net
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darknet2caffeConversion of yolo from DarkNet to Caffe
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darknet rosRobotics Operating System Package for Yolo v3 based on darknet with optimized tracking using Kalman Filter and Optical Flow.
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WebSightAiding the visually impaired through real time augmented reality, AI object detection, WebGL shaders effects such as edge detection, and colour adjustments.
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