Various technical documentation, in electronically parseable format

Various technical documentation, in electronically parseable format. You will need Python 3 to run the scripts and programs in this project. The parseable format commonly used in this project is JSON. Books are referenced by the name of the .json file in books/*.json. Each *.json file describes the book in more detail. Node that while the json does list parts, chapters, sections, etc. only the chapters actually referenced by the documentation are listed, at least initially.    

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Document manipulation detection with python

task: –> tianchi function image segmentation salient object detection seg use ResNeXT as encoder; use UNet framework; use DAHead as decode_head; see seg model mIoU: usage use make_dataset.py to make the .tfrecord files python -W ignore train.py –batch_size $batch_size –niter $niter –lr $lr todo refine the u2net add: EGNet data aug model fusion GitHub View Github    

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A document-focused, decluttered mode of JupyterLab that uses activity-based design

Clarity mode is a single-notebook interface built with existing JupyterLab components. To install: Clone this repository Ensure you have installed jupyter-server (pip install jupyter-server) Run pip install -e . npm install npm run build jupyter clarity In the URL, enter /clarity/path + the path to a notebook, e.g. localhost:8888/clarity/path/mynotebook.ipynb GitHub View Github    

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PhD document for navlab

The project contains the relative software documents which I developped or used during my PhD period. It includes: FLVIS. A stereo-inertial pose estimation system. RW_SLAM. A tightly-coupled system fusing RGB-D camera and wheel odometer. ESKF. An ESKF algorithm to fuse IMU and GNSS data. 3D reconstruction demo based on pcl and Open3D. Qualisys manual. The steps to set the IP of qualisys, calibrate and define a body frame, and get the groudtruth using ROS. Evaluation tools. The usages of EVO […]

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A Python3 command line tool and library that helps you create great documentation websites

Read Latest Documentation – Browse GitHub Code Repository The only thing worse than documentation never written, is documentation written but never discovered. portray is a Python3 command line tool and library that helps you create great documentation websites for your Python projects with as little effort as possible. Key Features: Zero-Config: No configuration is necessary to use portray. Just run portray in    

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An Indexer that works out-of-the-box when you have less than 100K stored Documents

An Indexer that works out-of-the-box when you have less than 100K stored Documents. U100K means under 100K. At 100K stored Documents with 768-dim embeddings, you can expect 300ms for single query or 20~120QPS for batch queries. Results are full Documents. U100KIndexer leverages jina.DocumenetArrayMemmap as the storage backend and .match() to conduct nearest neighbours search. It returns the full Documents as-is, hence no need to concatenate it with another key-value indexer to retrieve Documents. Pros & cons Pros Exhaustive search: highest […]

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Documentation for GitHub Copilot

NOTE: GitHub Copilot discussions have moved to the Copilot Feedback forum. Welcome to the GitHub Copilot user community!In this repository, you can find documentation, walkthroughs, examples, and the latest resources you need to use GitHub Copilot. Getting Started For a tour of GitHub Copilot, visit the homepage at copilot.github.com. If this is your first time using GitHub Copilot, check out theGetting Started guide. How to get help Have a question, or want to provide feedback? Visit the Feedback forumto ask […]

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Documentation for the lottie file format

This repository contains both human-readable and machine-readable documentation about the Lottie format The documentation is available online at https://lottiefiles.github.io/lottie-docs/ License CC-BY 4.0 Setting Up This project uses mkdocs to generate the HTML pages from the documentation,and pip to install dependencies. It’s recommended you install dependencies on some kind of virtual environment. Once you have your environment, you can run pip install requirements.txt or make install_dependencies Building the Docs You can use To build the static HTML. During development, you might […]

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