Yu Sun bioinformatist

## mermaid.html
<!-- should be in templates/ -->
<html>
<head>
<style>
	div.mermaid {
		width:25%;
	}
</style>
</head>
<body>

## multipage_settings_app.py
import streamlit as st
from persist import persist, load_widget_state


def main():
    if "page" not in st.session_state:
        # Initialize session state.
        st.session_state.update({
            # Default page.
            "page": "home",

## pytorch_stratified_split.md

      
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                Alvtron
                / pytorch_stratified_split.md
            
            
              Last active
              July 22, 2024 08:12
            
              
                Split a PyTorch Dataset into two subsets using stratified random sampling.
              
          
    Stratified dataset split in PyTorch

When working with imbalanced data for machine learning tasks in PyTorch, and simple random split might not be able to partly divide classes that are not well represented. Resulting sample splits might not portray the real-world population, leading to poor predictive peformance in the resulting model.
Therefore, I have created a simple function for conducting a stratified split with random shuffling, similar to that of StratifiedShuffleSplit from scikit-learn (https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html)
import random
import math
import torch.utils.data

  
## main.py
import cv2
import subprocess as sp
if __name__ == "__main__":
    rtsp_server = 'rtsp://example.org:554/...' # push server (output server)

    #pull rtsp data, or your cv cap.  (input server)
    cap = cv2.VideoCapture(
        'rtsp://example.org:554/pull from me ')


## docker-registry-mirrors.md

      
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                y0ngb1n
                / docker-registry-mirrors.md
            
            
              Last active
              November 5, 2025 09:59
            
              
                国内的 Docker Hub 镜像加速器，由国内教育机构与各大云服务商提供的镜像加速服务 | Dockerized 实践 https://github.com/y0ngb1n/dockerized
              
          
    Docker Hub 镜像加速器

国内从 Docker Hub 拉取镜像有时会遇到困难，此时可以配置镜像加速器。

Dockerized 实践 https://github.com/y0ngb1n/dockerized

1️⃣ Docker daemon 配置代理（推荐）

参考 Docker daemon 配置代理

  
## bcache.org

      
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              11 stars
            
          
                mikulely
                / bcache.org
            
            
              Created
              March 9, 2018 02:35
            
          
    bcache

bcache 实测对于小文件随机写场景下效果好，而且减少了小写的延迟。
目前 bcache 这类方案主要的问题是过于复杂，难以实现和维护。
Intro

引入块层的缓存对于优化磁盘的读写性能来说效果显著。块级别的缓存有多种实

  
## server.py
#!/usr/bin/env python3
"""
License: MIT License
Copyright (c) 2023 Miel Donkers

Very simple HTTP server in python for logging requests
Usage::
    ./server.py [<port>]
"""
from http.server import BaseHTTPRequestHandler, HTTPServer

## ImagePixelCoordinate.html
<p>Choose your clock_bg Photo</p>
<!-- choose image file, on choose, automatically set to the canvas -->
<input type="file" id="imageLoader" name="imageLoader"/>

<!-- hide the tool, only show once file is choosen -->
<div id="toolArea" style="display: none;">

	<p>Click on the image to place a marker<br> The markers on the image will show the coordinates value in decimal, while the table below will show the coordinates in Hex value.</p>
	<!-- draw image and markers on the canvas here -->
	<canvas id="Canvas" width="240" height="240"></canvas>
	<!-- should be in templates/ -->
	<html>
	<head>
	<style>
	div.mermaid {
	width:25%;
	}
	</style>
	</head>
	<body>
	import streamlit as st
	from persist import persist, load_widget_state


	def main():
	if "page" not in st.session_state:
	# Initialize session state.
	st.session_state.update({
	# Default page.
	"page": "home",
	import cv2
	import subprocess as sp
	if __name__ == "__main__":
	rtsp_server = 'rtsp://example.org:554/...' # push server (output server)

	#pull rtsp data, or your cv cap. (input server)
	cap = cv2.VideoCapture(
	'rtsp://example.org:554/pull from me ')
	#!/usr/bin/env python3
	"""
	License: MIT License
	Copyright (c) 2023 Miel Donkers

	Very simple HTTP server in python for logging requests
	Usage::
	./server.py [<port>]
	"""
	from http.server import BaseHTTPRequestHandler, HTTPServer
	<p>Choose your clock_bg Photo</p>
	<!-- choose image file, on choose, automatically set to the canvas -->
	<input type="file" id="imageLoader" name="imageLoader"/>

	<!-- hide the tool, only show once file is choosen -->
	<div id="toolArea" style="display: none;">

	<p>Click on the image to place a marker<br> The markers on the image will show the coordinates value in decimal, while the table below will show the coordinates in Hex value.</p>
	<!-- draw image and markers on the canvas here -->
	<canvas id="Canvas" width="240" height="240"></canvas>