459 Open source projects that are alternatives of or similar to Mxnet Ssd

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).

This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

Tiny YOLO v2 object detection with tensorflow.js.

YOLOv2 and MobileNet_SSD detection algorithms used along with KCF object tracker

How to run Object Detection and Segmentation on a Video Fast for Free

An easy to understand and better performance version of CenterNet

Keras Object Detection API with YOLK project 🍳

This is the implementation of YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Codebase of the paper "Feature Intertwiner for Object Detection", ICLR 2019

After Apple’s introduction of ARKit 2, we have been consistently working behind to create shared-AR experiences. Our goal is to improve the utility of mobile using AR experiences.

Implementing Bag of Visual words approach for object classification and detection

🎨 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）

📖 👆🏻 Links Detector makes printed links clickable via your smartphone camera. No need to type a link in, just scan and click on it.

weakly-supervised object detection platform.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

🍅 Deploy NCNN on mobile phones. Support Android and iOS. 移动端NCNN部署，支持Android与iOS。

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

PyTorch implementation of several SSD based object detection algorithms.

Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

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

🙄 Difficult algorithm, Simple code.

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

Repo for 42 days project to replicate/improve Airbnb's amenity (object) detection pipeline.

End-to-End Object Detection Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

Realtime mobile visualize based Object Detection based on TensorFlow and YOLO model

基于视频的目标检测算法研究

A PyTorch Detectron codebase for domain adaptation of object detectors.

Accelerated deep learning R&D

YOLOv2 trained against custom dataset

Keras package for region-based convolutional neural networks (RCNNs)

NVR with realtime local object detection for IP cameras

Self hosted alternative to Google Photos

Awesome Resources for Advanced Computer Vision Topics

ImageNet 2015 Object Detection from Video (VID)

9th Place Solution of Kaggle Global Wheat Detection

Out-of-the-box code and models for CMU's object detection and tracking system for surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

Hands video tracker using the Tensorflow Object Detection API and Faster RCNN model. The data used is the Hand Dataset from University of Oxford.

Object detection on multiple datasets with an automatically learned unified label space.

Differentiable IoU of rotated bounding boxes using Pytorch

An easy to use C# deep learning library with CUDA/OpenCL support

FrostNet: Towards Quantization-Aware Network Architecture Search

Image segmentation - general superpixel segmentation & center detection & region growing

Making custom object detector using Yolo (Java and Python)

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

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

动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

Code for 3D object detection for autonomous driving

OpenCV-Python4.1 中文文档

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

🏀🤖🏀 AI web app and API to analyze basketball shots and shooting pose.

🔥🔥AidLearning is a powerful mobile development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports OpenCL (GPU+NPU) for high performance acceleration...Linux on Android or HarmonyOS

Light version of convolutional neural network Yolo v3 & v2 for objects detection with a minimum of dependencies (INT8-inference, BIT1-XNOR-inference)

Be Driven 🚘