*ObjDetApp* deploys a pytorch model for object detection ____ _ _ _____ _ / __ \| | (_) __ \ | | /\ | | | | |__ _| | | | ___| |_ / \ _ __ _ __ | | | | '_ \| | | | |/ _ \ __| / /\ \ | '_ \| '_ \ | |__| | |_) | | |__| | __/ |_ / ____ \| |_) | |_) | \____/|_.__/| |_____/ \___|\__/_/ \_\ .__/| .__/ _/ | | | | | |__/ |_| |_| ==================================================================== CONTENTS *Contents* 1. Introduction .................... |Introduction| 2. Prerequisites ................... |Prerequisites| 3. Usage ........................... |Usage| 3.1 WebApp ..................... |WebAppUsage| 3.2 GUIApp ..................... |GUIAppUsage| 4. Credits ......................... |Credits| 5. License ......................... |License| ==================================================================== Section 1: Introduction *Introduction* This is a side project (or not qualified as a project) derived from a school assignment, which focuses on the deployment of a pytorch model for object detection, hence the name. The model's performance is really bad but this app doesn't focus on that anyway. You can help me perfect and package it by forking. App tested on Linux. ==================================================================== Section 2: Prerequisites *Prerequisites* Get trained *model_state_dict.pth* from https://drive.google.com/file/d/1oi8iIQGn0OFSRf44hWLI8kCbj5OrlkCy/view?usp=sharing and put it under this folder. > sudo apt install default-libmysqlclient-dev pip install -r requirements.txt npm install < ==================================================================== Section 3: Usage *Usage* WebApp:~ *WebAppUsage* Start backend server (Default port: 5000) > FLASK_ENV=development FLASK_APP=server.py flask run < Build (Default into build/) > npm run build < Serve the webpage (Default port: 5512) > npm run dev < GUIApp:~ *GUIAppUsage* > python gui.py < ==================================================================== Section 4: Credits *Credits* ObjDetApp wouldn't be possible without these wonderful projects. https://github.com/pallets/flask https://github.com/pytorch/pytorch Shout out to @sgrvinod for his great tutorial. https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Object-Detection/ ==================================================================== Section 5: License *License* Copyright © 2021 Will Chao. Distributed under the MIT license. ==================================================================== vim:tw=78:ts=8:ft=help:noet:nospell
*ObjDetApp* deploys a pytorch model for object detection
Overview
Baseline for the Spoofing-aware Speaker Verification Challenge 2022
Introduction This repository contains several materials that supplements the Spoofing-Aware Speaker Verification (SASV) Challenge 2022 including: calc
ProjectOxford-ClientSDK - This repo has moved :house: Visit our website for the latest SDKs & Samples
This project has moved 🏠 We heard your feedback! This repo has been deprecated and each project has moved to a new home in a repo scoped by API and p
Double pendulum simulator using a symplectic Euler's method and Hamiltonian mechanics
Symplectic Double Pendulum Simulator Double pendulum simulator using a symplectic Euler's method. The program calculates the momentum and position of
The FIRST GANs-based omics-to-omics translation framework
OmiTrans Please also have a look at our multi-omics multi-task DL freamwork 👀 : OmiEmbed The FIRST GANs-based omics-to-omics translation framework Xi
Multi-resolution SeqMatch based long-term Place Recognition
MRS-SLAM for long-term place recognition In this work, we imply an multi-resolution sambling based visual place recognition method. This work is based
Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch
disclaimer: this code is modified from pytorch-tutorial Image classification with synthetic gradient in Pytorch I implement the Decoupled Neural Inter
FLSim a flexible, standalone library written in PyTorch that simulates FL settings with a minimal, easy-to-use API
Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such a
An example to implement a new backbone with OpenMMLab framework.
Backbone example on OpenMMLab framework English | 简体中文 Introduction This is an template repo about how to use OpenMMLab framework to develop a new bac
Conversational text Analysis using various NLP techniques
PyConverse Let me try first Installation pip install pyconverse Usage Please try this notebook that demos the core functionalities: basic usage noteb
PyTorch implementation of our paper: Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition
Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition, arxiv This is a PyTorch implementation of our paper. 1. Re
Funnels: Exact maximum likelihood with dimensionality reduction.
Funnels This repository contains the code needed to reproduce the experiments from the paper: Funnels: Exact maximum likelihood with dimensionality re
CMP 414/765 course repository for Spring 2022 semester
CMP414/765: Artificial Intelligence Spring2021 This is the GitHub repository for course CMP 414/765: Artificial Intelligence taught at The City Univer
Garbage Detection system which will detect objects based on whether it is plastic waste or plastics or just garbage.
Garbage Detection using Yolov5 on Jetson Nano 2gb Developer Kit. Garbage detection system which will detect objects based on whether it is plastic was
[ICLR 2022] DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
DAB-DETR This is the official pytorch implementation of our ICLR 2022 paper DAB-DETR. Authors: Shilong Liu, Feng Li, Hao Zhang, Xiao Yang, Xianbiao Qi
The Unsupervised Reinforcement Learning Benchmark (URLB)
The Unsupervised Reinforcement Learning Benchmark (URLB) URLB provides a set of leading algorithms for unsupervised reinforcement learning where agent
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
ELECTRA Introduction ELECTRA is a method for self-supervised language representation learning. It can be used to pre-train transformer networks using
T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time
T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time The first Lidar-only odometry framework with high performance based on tr
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-Captured Scenarios
TPH-YOLOv5 This repo is the implementation of "TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-Captured
A set of tools for Namebase and HNS
HNS-TOOLS A set of tools for Namebase and HNS To install: pip install -r requirements.txt To run: py main.py My Namebase referral code: http://namebas
Hack Camera, Microphone, Location, Clipboard With Just a Link. Also, Get Many Details About Victim's Device. And So On...
An Automated Tool to Hack Victim's Camera, Microphone, Location, Clipboard. Has 2 Extra Features. Version 1.1 Update Fixed Some Major Bugs Data Saving