PyTorch version of ndrplz's self-driving-car project.

This repository provides a script and recipe to train the SSD300 model to achieve state of the art accuracy. The codes of model architecture comes from NVIDIA(NVIDIA SSD pytorch), and the method belongs to paper SSD: Single Shot MultiBox Detector .

SSD300 Model using PyTorch

This project trains a SSD300 with VGG11 base on the PASCAL VOC 2005 dataset using the PyTorch deep learning framework.

object detection using SSD300 to detect person and cell phone.

Deployment of Object Detection Model for NVidia GPUs with use PyTorch & TensorRT

🦜 Object Detection: SSD Model

Implementation of base DL tasks

This is a Video Object Dectection Project

My DATAML300 - Computer vision solutions.

Udacity Self-Driving Car Nanodegree: Vehicle Detection Project

A simple PyTorch implementation of the SSD300 network.

Intern project at Institude of Information Science, Academia Sinica

SSD300 for Object Detection

SSD300 implementation with TensorFlow plus re-identification for multi-object tracking

Object detection on Manga109 dataset using FasterRCNN, RetinaNet and SSD300

PyTorch Implementation of objection detection networks

An autonomous, vision-based Bebop drone.

Tensorflow 2 single shot multibox detector (SSD) implementation from scratch with MobileNetV2 and VGG16 backbones