120 Open source projects that are alternatives of or similar to grouped-ssd-pytorch

A Keras port of Single Shot MultiBox Detector

A Light CNN based Method for Hand Detection and Orientation Estimation

Single Shot MultiBox Detector(SSD)目标检测算法

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

AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）

A simple open-source disk benchmark tool for Linux distros

An iOS application of Tensorflow Object Detection with different models: SSD with Mobilenet, SSD with InceptionV2, Faster-RCNN-resnet101

Table Detection and Extraction Using Deep Learning ( It is built in Python, using Luminoth, TensorFlow<2.0 and Sonnet.)

Parallel Feature Pyramid Network for Object Detection in tensorflow

FlashX is a collection of big data analytics tools that perform data analytics in the form of graphs and matrices.

Single Shot MultiBox Detector in PyTorch [deprecated]

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）

MobileNetV3 SSD的简洁版本

support different SSDs and different scale test, support refineDet.

A pytorch Implementation of classical object detection.

The linux kernel source repository for Open-Channel SSDs

OpenMMLab Detection Toolbox and Benchmark

Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow

No description or website provided.

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

Simple NVME/SAS/SATA SSD test framework for Linux and Windows

Fast key-value DB in Go.

把极速检测器的门槛给我打下来make lightweight caffe-ssd great again

A tensorflow_2.0 implementation of SSD (Single Shot MultiBox Detector) .

Video Platform for Action Recognition and Object Detection in Pytorch

Training Toolbox for Caffe

Creating a software for automatic monitoring in online proctoring

All the great tools we have for the field.

No description or website provided.

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.

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

No description or website provided.

Compare FasterRCNN,Yolo,SSD model with the same dataset

Temporal-spatial Feature Learning of DCE-MR Images via 3DCNN

Windows, macOS and Android storage (HDD, SSD, RAM) speed testing/performance benchmarking app

PyTorch implementation of several SSD based object detection algorithms.

v2ray\trojan\ss\ssr\ssd订阅转换Clash规则配置，自动更新ACL4SSR路由规则

A WPF implementation of WinDirStat.

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

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

Switch the rootfs to a NVMe SSD on the Jetson Xavier NX and Jetson AGX Xavier

best effort anonymization for medical images using python

Cross platform utilities useful for performing various operations on SATA, SAS, NVMe, and USB storage devices.

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

Simpler app for tensorflow object detection API

An Object Detection Knowledge Distillation framework powered by pytorch, now having SSD and yolov5.

Multiple basenet MobileNet v1,v2, ResNet combined with SSD detection method and it's variants such as RFB, FSSD etc.

MobileNetV3-SSD for object detection and implementation in PyTorch

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

builds your own tests.

A PyTorch Implementation of Knowledge Distillation on SSD

Build userspace NVMe drivers and storage applications with CUDA support

No description or website provided.

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/.

Caffe implementation of FAIR paper "Focal Loss for Dense Object Detection" for SSD.

Drive Activity Indicator

No description or website provided.

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

Paper notes in deep learning/machine learning and computer vision

基于PaddlePaddle实现的SSD，包括MobileNetSSD，MobileNetV2SSD，VGGSSD，ResNetSSD