755 Open source projects that are alternatives of or similar to Ssd.pytorch

Single Shot MultiBox Detector in TensorFlow

Implementation of Single Shot MultiBox Detector in TensorFlow, to detect and classify traffic signs

Video Platform for Action Recognition and Object Detection in Pytorch

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.

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）

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

A Keras port of Single Shot MultiBox Detector

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

A PyTorch Implementation of Knowledge Distillation on SSD

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

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

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

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

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

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

Simpler app for tensorflow object detection API

State 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.

A photo OCR project aims to output DMS messages contained in sign structure images.

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Real-time Detectron using webcam.

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

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

OpenMMLab Detection Toolbox and Benchmark

PyTorch implementation of several SSD based object detection algorithms.

Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class 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 )

This is a new web-based photo management application. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, location awareness, color analysis and other ML algorithms.

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

Object Detection API Tensorflow

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

项目注释+论文复现+算法竞赛

Google Brain AutoML

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)

PyTorch implementation of the YOLO (You Only Look Once) v2

Caffe implementation of our multi-scale object detection framework

Custom Object Detection with TensorFlow

Most popular metrics used to evaluate object detection algorithms.

An easy to understand and better performance version of CenterNet

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

End-to-End Object Detection with Fully Convolutional Network

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

Code examples for new APIs of iOS 10.

State-of-the-art Single Shot MultiBox Detector in Pure TensorFlow, QQ Group: 758790869

🎨 Pytorch YOLO v5 训练自己的数据集超详细教程！！！ 🎨 (提供PDF训练教程下载）

🍎 My own face recognition with deep neural networks.

This repository contains the source code of our work on designing efficient CNNs for computer vision

NVIDIA Deep learning Dataset Synthesizer (NDDS)

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Deep Learning Computer Vision Algorithms for Real-World Use

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

Real time eye tracking for embedded and mobile devices.

Build fully-functioning computer vision models with PyTorch

CVPR 2021 论文和开源项目合集

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.