616 Open source projects that are alternatives of or similar to Tensorflow Serving_sidecar

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.

YoloV3 Implemented in Tensorflow 2.0

Fish detection using Open Images Dataset and Tensorflow Object Detection

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

FCOS: Fully Convolutional One-Stage Object Detection.

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Computer vision based ML training data generation tool 🚀

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.

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

FoveaBox: Beyond Anchor-based Object Detector

Tensorflow Faster RCNN for Object Detection

Two-stage CenterNet

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

Enabling Deep Residual Networks for Weakly Supervised Object Detection

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

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.

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

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

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

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

DeepLearning.AI TensorFlow Developer Professional Certificate Specialization

Some interesting TensorFlow tutorials for beginners.

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

High level network definitions with pre-trained weights in TensorFlow

Lets Learn AI

OpenMMLab's next-generation platform for general 3D object detection.

a global localization system with object detection in semantic map

📸 A simple application to demonstrate TensorflowJS using mobile net model to predict objects via camera API.

🚀 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!

Caffe implementation of multiple popular object detection frameworks

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

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

A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

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

Detect traffic lights and classify the state of them, then give the commands "go" or "stop".

A Benchmark of Real-world Image Dataset for Federated Learning

Pepper Programs : Object Detection Real Time without ROS

Annotation tool for YOLO in opencv

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

A collection of computer vision pre-trained models.

Data Augmentation For Object Detection

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

This repo contains all of my TensorFlow tutorials

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

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

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

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

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

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

📊 Benchmark multiple object trackers (MOT) in Python

MNIST classification in Tensorflow using Django

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.

PyTorch extensions for fast R&D prototyping and Kaggle farming

MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd

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

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