600 Open source projects that are alternatives of or similar to Ssd Variants

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

OpenMMLab Detection Toolbox and Benchmark

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Simpler app for tensorflow object detection API

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SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

SSD目标检测算法(Single Shot MultiBox Detector)(简单,明了,易用,全中文注释,单机多卡训练,视频检测)( If you train the model on a single computer and mutil GPU, this program will be your best choice , easier to use and easier to understand )

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Object Detection API Tensorflow

Single Shot MultiBox Detector in TensorFlow

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

A Keras port of Single Shot MultiBox Detector

A PyTorch Implementation of Single Shot MultiBox Detector

High-performance multiple object tracking based on YOLO, Deep SORT, and optical flow

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

A PyTorch Implementation of Knowledge Distillation on SSD

High quality, fast, modular reference implementation of SSD in PyTorch

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.

简明 SSD 目标检测模型 keras version（交通标志识别 训练部分见 dev 分支）

Video Platform for Action Recognition and Object Detection in Pytorch

👁 Sightseer: TensorFlow library for state-of-the-art Computer Vision and Object Detection models

Image segmentation - general superpixel segmentation & center detection & region growing

TensorFlow implementation of the YOLO (You Only Look Once)

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

LFD is a big update upon LFFD. Generally, LFD is a multi-class object detector characterized by lightweight, low inference latency and superior precision. It is for real-world appilcations.

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

Self hosted alternative to Google Photos

⚾🤖⚾ Automatic baseball pitching overlay in realtime

Perception toolkit for sim2real training and validation

End-to-End Object Detection Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

Repulsion Loss: Detecting Pedestrians in a Crowd. https://arxiv.org/abs/1711.07752

Marvel - Face Recognition With Android & OpenCV

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

thor: C++ helper library, for deep learning purpose

Code 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

Caffe codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".

Deep learning codes and projects using Python

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

Deep Learning toolkit for Computer Vision.

Self-hosted NVR with object detection

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Out-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

reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

This project implements a real-time image and video object detection classifier using pretrained yolov3 models.

Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

A Python Library for Document Layout Understanding

This is a list of awesome articles about object detection from video.

A simple pytorch implementation of CenterNet (Objects as Points)