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

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

weakly-supervised object detection platform.

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

PyTorch implementation of several SSD based object detection algorithms.

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

convert dataset to coco/voc format

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

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

Accelerated deep learning R&D

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

Self hosted alternative to Google Photos

基于视频的目标检测算法研究

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

CenterMask : Real-Time Anchor-Free Instance Segmentation, in CVPR 2020

k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper

Focal Loss for Dense Object Detection.

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

A Benchmark of Real-world Image Dataset for Federated Learning

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

ImageNet 2015 Object Detection from Video (VID)

Deep Learning toolkit for Computer Vision.

Fast and accurate object detection with end-to-end GPU optimization

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

Cascade R-CNN: Delving into High Quality Object Detection.

Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usage

Pepper Programs : Object Detection Real Time without ROS

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

Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models

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

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

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

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

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

Annotation tool for YOLO in opencv

A best practice for tensorflow project template architecture.

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

In-Browser Object Detection using Tiny YOLO on Tensorflow.js

A few TensorFlow techniques I'm saving for future reference.

thor: C++ helper library, for deep learning purpose

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Deep learning codes and projects using Python

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

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.

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

🍎 My own face recognition with deep neural networks.

This project implements a real-time image and video object detection classifier using pretrained yolov3 models.

Real-time object detection on Android using the YOLO network with TensorFlow

This is a list of awesome articles about object detection from video.

Handwritten digits classification from MNIST with TensorFlow on Android; Featuring Tutorial!

A multi-purpose Video Labeling GUI in Python with integrated SOTA detector and tracker

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

Tensorflow tutorial on convolutional neural networks.

A-Fast-RCNN (CVPR 2017)

CC游戏案例之 斗兽棋

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

Use the Intel D435 real-sensing camera to realize target detection based on the Yolov3 framework under the Opencv DNN framework, and realize the 3D positioning of the Objection according to the depth information. Real-time display of the coordinates in the camera coordinate system.ADD--Using Yolov5 By TensorRT model,AGX-Xavier,RealTime Object Detection