537 Open source projects that are alternatives of or similar to Ssd Knowledge Distillation

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）

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

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

OpenMMLab Detection Toolbox and Benchmark

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

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 )

Simpler app for tensorflow object detection API

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

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Video Platform for Action Recognition and Object Detection in Pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

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

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

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

Single Shot MultiBox Detector in TensorFlow

Object Detection API Tensorflow

A Keras port of Single Shot MultiBox Detector

PyTorch implementation of several SSD based object detection algorithms.

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

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.

The code of our paper: 'Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples', in Tensorflow.

Use the Intel D435 real-sensing camera to realize target detection based on the Yolov3 framework under the Opencv DNN framework, and realize the 3D positioning of the Objection according to the depth information. Real-time display of the coordinates in the camera coordinate system.ADD--Using Yolov5 By TensorRT model,AGX-Xavier,RealTime Object Detection

Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Best Practices, code samples, and documentation for Computer Vision.

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Trainable models and NN optimization tools

Convert any classification model or architecture trained in keras to an object detection model

High level network definitions with pre-trained weights in TensorFlow

PyTorch extensions for fast R&D prototyping and Kaggle farming

Real-time Detectron using webcam.

Utilities to use tensorflow object detction api with a yolo like dataset

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

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

Caffe implementation of multiple popular object detection frameworks

This repository contains easy SSD(Single Shot MultiBox Detector) implemented with Pytorch and is easy to read and learn

A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes

This is a repo for training and implementing the mobilenet-ssd v2 to tflite with c++ on x86 and arm64

Serve machine learning models using tensorflow serving

Run 3 scripts to (1) Synthesize images (by putting few template images onto backgrounds), (2) Train YOLOv3, and (3) Detect objects for: one image, images, video, webcam, or ROS topic.

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

Keras implementation of m2det object detection.

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

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Automatically unburden $HOME from caches, etc. Useful for $HOME on SSDs, small disks or slow NFS homes. Can be triggered via an hook in /etc/X11/Xsession.d/.

A general 3D object detection codebse.

This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

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Annotation tool for YOLO in opencv

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

a global localization system with object detection in semantic map

A collection of computer vision pre-trained models.

Enabling Deep Residual Networks for Weakly Supervised Object Detection

Data Augmentation For Object Detection

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