Segmentation

Implement object segmentation on images using HOG algorithm proposed in CVPR 2005

Description HOG (Histograms of Oriented Gradients) Algorithm is an algorithm aiming to realize object segmentation (edge detection) on images before CNN models are widely used. Reference Navneet Dalal and Bill Triggs, Histograms of Oriented Gradients, CVPR 2005 Getting Started Clone this repository git clone https://github.com/LeoTheBestCoder/HOG_implementation.git Install related libraries pip install opencv-python pip install numpy pip install matplotlib Put your input image under same directory and modify line 10 in image.py (include filename extension) Run the script Demostration Input Image

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HTTP

HTTP graph database built in Python 3

HTTP graph database built in Python 3. Reference Format References are strings in the format:{[email protected]} Authentication Currently, there is no authentication system. I’m working to implement one. Query depth Currently, there is no query depth. I’m working to implement it. HTTP API Query node by reference GET /{[email protected]}Response 200 with JSON body Query nodes by group GET /@GROUPResponse 200 with JSON body Insert node with reference PUT /{[email protected]}Request must have JSON bodyResponse 201 with Location header Insert node    

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Discord

Discord.py Bot Series With Python

YouTube Playlist: https://www.youtube.com/playlist?list=PL9nZZVP3OGOAx2S75YdBkrIbVpiSL5oc5 Installation pip install -r requirements.txt Python Packages Discord.py: https://discordpy.readthedocs.io/en/latest/intro.html Pillow: https://pillow.readthedocs.io/en/stable/installation.html Python-dotenv: https://pypi.org/project/python-dotenv/ Requests: https://pypi.org/project/requests/ Dateutil: https://pypi.org/project/python-dateutil/ Tabulate: https://pypi.org/project/tabulate/ Matplotlib: https://matplotlib.org/stable/users/installing.html Pandas: https://pandas.pydata.org/docs/getting_started/index.html Black: https://black.readthedocs.io/en/stable/installation_and_usage.html Documentations Discord: https://discord.com/developers/docs/intro Discord.py: https://discordpy.readthedocs.io/en/latest/index.html Pillow: https://pillow.readthedocs.io/en/stable/index.html GitHub View Github    

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Sequences

Annotates sequences with Eggnog-mapper and hhblits against PDB70

See config/ for configuration information. This workflow takes as input a set of protein sequences. It clusters them and thenfunctionally annotates the clusters’ representatives using Eggnog DB, and picks those without KO annotationstocontinue the process. These “hypothetical proteins” get aligned by hhblits against Uniclust30 and then against PDB70. Testing Decompress selected_seqs_by_size.tar.gz and use that path in the config file (already set). To see the commands being executed (-p) without an actual execution of the workflow, use -n.-r prints the “reason” […]

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Generator

Library for Russian imprecise rhymes generation

Library for Russian imprecise rhymes generation. Quick Start Generate rhymes by any given rhyme scheme (aabb, abab, aaccbb, etc …): from tom_rhymer.rhymer import Rhymer rhymer = Rhymer.load() for rhyme in rhymer.get_rhymes_by_scheme(‘abab’): print(str(rhyme)) # предоставленными # отличите # доставлена # ограничительных Generate rhymes word by word:

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Images

Final project in KAIST AI class

MLP-Mixer based Multi-modal image-text retrieval Image: Original image is cropped with 16 x 16 patch size without overlap. Then, it is reshaped to (batch, (hxw), (patch x patch x channel)). Text: Also, original text is tokenized and embedded with BERT-based approach (BERT-base-uncased). Data processing: When we train our model, we randomly samples(50 %) reports to make the matched- and un-matched image-text set.Basically, matched and un-matched set is classified with label information using chexpert labeler, we consider unmatched set when randomly […]

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Transformer

Transform a Google Drive server into a VFX pipeline ready server

About The Project Quick tutorial to setup a Google Drive Server for multiple machines access, and VFX Pipeline on Windows Setup Server It’s important to assign a similar letter on every machine at every Google Drive File Stream fresh install, otherwise directories will be broken Tick Stream Files (Default Option) Copy the .config folder to Z:/My Drive/ and make it Available offline by Right Cliking, Offline access > Available offline to ensure an access to the files even if the […]

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Crawler

PaperRobot: a paper crawler that can quickly download numerous papers, facilitating paper studying and management

PaperRobot 是一个论文抓取工具，可以快速批量下载大量论文，方便后期进行持续的论文管理与学习。 PaperRobot通过多个接口抓取论文，目前抓取成功率维持在90%以上。通过配置Config文件，可以抓取任意计算机领域相关会议的论文。 Installation git clone https://github.com/mo-xiaoxi/PaperRobot.git sudo pip3 install -r requirements.txt Python version: Python 3 (>=3.7). Why build this tool? 通过这个工具可以构建自己的论文数据库。具体参考：如何建立独属于你自己的论文数据库 一个方便的论文调研工具： Secpaper. 论文调研必备！ 提取论文的摘要，自动翻译推送整理一些会议的研究简报，可以快速地过一下每个会议论文的内容，感兴趣的再阅读对应的pdf。 对会议研究热点、作者变化等等进行归类与整理。 如Computer Science Rankings. Usage

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