MyvisionComputer vision based ML training data generation tool 🚀
Stars: ✭ 453 (+79.05%)
DiffgramData Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning
Stars: ✭ 43 (-83%)
Yolo labelGUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 https://github.com/AlexeyAB/darknet, https://github.com/pjreddie/darknet
Stars: ✭ 128 (-49.41%)
ErrantERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.
Stars: ✭ 208 (-17.79%)
PaddledetectionObject Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Stars: ✭ 5,799 (+2192.09%)
Nanodet⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Stars: ✭ 3,640 (+1338.74%)
Mxnet YoloYOLO: You only look once real-time object detector
Stars: ✭ 240 (-5.14%)
Dart Json MapperSerialize / Deserialize Dart Objects to / from JSON
Stars: ✭ 206 (-18.58%)
MmdetectionOpenMMLab Detection Toolbox and Benchmark
Stars: ✭ 17,646 (+6874.7%)
Yolov4 Custom FunctionsA Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
Stars: ✭ 199 (-21.34%)
NeuraletNeuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.
Stars: ✭ 200 (-20.95%)
PyimsegmImage segmentation - general superpixel segmentation & center detection & region growing
Stars: ✭ 213 (-15.81%)
Ssd VariantsPyTorch implementation of several SSD based object detection algorithms.
Stars: ✭ 233 (-7.91%)
LuminothDeep Learning toolkit for Computer Vision.
Stars: ✭ 2,386 (+843.08%)
Taco🌮 Trash Annotations in Context Dataset Toolkit
Stars: ✭ 243 (-3.95%)
Pcat open sourcePointCloud Annotation Tools, support to label object bound box, ground, lane and kerb
Stars: ✭ 209 (-17.39%)
FlipSynthetic Image generation with Flip. Generate thousands of new 2D images from a small batch of objects and backgrounds.
Stars: ✭ 231 (-8.7%)
Computer Vision Guide📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.
Stars: ✭ 244 (-3.56%)
Pine🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.
Stars: ✭ 202 (-20.16%)
Bbox VisualizerMake drawing and labeling bounding boxes easy as cake
Stars: ✭ 225 (-11.07%)
Arkit2.0 PrototypeAfter Apple’s introduction of ARKit 2, we have been consistently working behind to create shared-AR experiences. Our goal is to improve the utility of mobile using AR experiences.
Stars: ✭ 236 (-6.72%)
Traffic Sign DetectionTraffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
Stars: ✭ 200 (-20.95%)
Caffe2 IosCaffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.
Stars: ✭ 221 (-12.65%)
MarvelMarvel - Face Recognition With Android & OpenCV
Stars: ✭ 199 (-21.34%)
Thorthor: C++ helper library, for deep learning purpose
Stars: ✭ 197 (-22.13%)
D2detD2Det: Towards High Quality Object Detection and Instance Segmentation (CVPR2020)
Stars: ✭ 234 (-7.51%)
Syndata GenerationCode used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper
Stars: ✭ 214 (-15.42%)
RetinafaceThe remake of the https://github.com/biubug6/Pytorch_Retinaface
Stars: ✭ 226 (-10.67%)
Yolodet Pytorchreproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5,YOLOv3, etc.
Stars: ✭ 206 (-18.58%)
Vovnet Detectron2VoVNet backbone networks for detectron2, in CVPR 2020
Stars: ✭ 249 (-1.58%)
Cnn From ScratchA scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset
Stars: ✭ 210 (-17%)
Prodigy Recipes🍳 Recipes for the Prodigy, our fully scriptable annotation tool
Stars: ✭ 229 (-9.49%)
YolobileThis is the implementation of YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design
Stars: ✭ 201 (-20.55%)
Tiny DsodTiny-DSOD: Lightweight Object Detection for Resource-Restricted Usage
Stars: ✭ 207 (-18.18%)
IcevisionEnd-to-End Object Detection Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
Stars: ✭ 218 (-13.83%)
React Image Annotation An infinitely customizable image annotation library built on React
Stars: ✭ 203 (-19.76%)
Ros people object detection tensorflowAn extensive ROS toolbox for object detection & tracking and face/action recognition with 2D and 3D support which makes your Robot understand the environment
Stars: ✭ 202 (-20.16%)
CatalystAccelerated deep learning R&D
Stars: ✭ 2,804 (+1008.3%)
Sight👁 Sightseer: TensorFlow library for state-of-the-art Computer Vision and Object Detection models
Stars: ✭ 203 (-19.76%)
SilencerScala compiler plugin for warning suppression
Stars: ✭ 239 (-5.53%)
Yolo TfTensorFlow implementation of the YOLO (You Only Look Once)
Stars: ✭ 200 (-20.95%)
OwnphotosSelf hosted alternative to Google Photos
Stars: ✭ 2,587 (+922.53%)
Nas fpn tensorflowNAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.
Stars: ✭ 198 (-21.74%)
Object detection trackingOut-of-the-box code and models for CMU's object detection and tracking system for surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20
Stars: ✭ 221 (-12.65%)
FcosFCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
Stars: ✭ 2,839 (+1022.13%)
OicrCaffe codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".
Stars: ✭ 196 (-22.53%)
NncfPyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference
Stars: ✭ 218 (-13.83%)
ViseronSelf-hosted NVR with object detection
Stars: ✭ 192 (-24.11%)
UnidetObject detection on multiple datasets with an automatically learned unified label space.
Stars: ✭ 217 (-14.23%)
Fcos plusSome improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).
Stars: ✭ 252 (-0.4%)
Hass Deepstack ObjectHome Assistant custom component for using Deepstack object detection
Stars: ✭ 252 (-0.4%)