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

Code to export full segmentations from GTA

CVPR 2018: Structure Inference Net for Object Detection

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

Non-maximum suppression for object detection in a neural network

automatic tagging data, the training data prepare for mask-rcnn

An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.

Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)

A data generator for 2D object detection

Code for ECCV 2020 paper: Arbitrary-Oriented Object Detection with Circular Smooth Label

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

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

A pure torch implement of FCOS 37.2AP

support different SSDs and different scale test, support refineDet.

Ros package for basic autonomous lane tracking and object detection

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

The System consists of two main components. Vehicle detection model and A graphical user interface (GUI)

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

Implementation of "SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses"

High-quality Neural Networks for Computer Vision 😎

Adaptive Real-Time Object Detection System with HOG and CNN Features

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.

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

YOLOv5 C++ Implementation on Android using NCNN framework

Yet Another MXnet DETection

deep learning for image processing including classification and object-detection etc.

generate physically realistic synthetic dataset of cluttered scenes using 3D CAD models to train CNN based object detectors

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

YOLO ROS: Real-Time Object Detection for ROS

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

A Mask R-CNN Keras implementation with Modanet annotations on the Paperdoll dataset

A TensorFlow 2.0 implementation of YOLOv4: Optimal Speed and Accuracy of Object Detection

Code for 'RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles' (ICIP 2019)

Deformable convolution net on Tensorflow

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

Wheat Detection challenge on Kaggle

Self hosted alternative to Google Photos

The ROS Package of Mask R-CNN for Object Detection and Segmentation

Compare FasterRCNN,Yolo,SSD model with the same dataset

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

👷 👷👷 YOLO V3(Tensorflow 1.x) 安全帽 识别 | 提供数据集下载和与预训练模型

How to train an object detection model easy for free

A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"

To keep updates with VRU Grand Challenge, please use https://github.com/NExTplusplus/VidVRD-helper

Training Toolbox for Caffe

CenterNet: Objects as Points in Tensorflow

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

An example of using Tensorflow with Unity for image classification and object detection.

doing audio digital signal processing in tensorflow to try to recreate digital audio effects

Python and OpenCV based object tracking software

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

An Unsupervised Learning Framework for Moving Object Detection From Videos

FaceBoxes for hand detection in PyTorch

Use the Tensorflow Object Detection API with Tensorflow 2

How to create custom COCO data set for object detection

A newly built high-resolution dataset for object detection and pedestrian detection (IEEE TIP 2020)