semvec/pypi-packages huggingface dataset:
virtualpen 0.1.1
you can do virtual paints
Requires Python: >=3.6

With this library, you can make/draw virtualy on your screen

functions/classes:
	obtaincolor - It takes  hsv values(i.e [57,56,0,100,255,255]) and the corresponding bgr value(i.e blue,green,red) as a input
	and process the contours of the masked image. it also point out the center point of the detected object 
	
	getcontours - it takes images as a input. this functions helps the obtaincolor function to detects the contours and the
	center point of the contour (i.e outer bounders of a detected shap or object) 

	draw - this function takes coordinates of the detected object, bgr list to draw and an image. this function helps to draw the
	the color when detected object is moving
test-function 0.0.1
code_
Requires Python: >=3.6

# CTR_Function

![image](https://img.shields.io/badge/author-TIXhjq-orange)
![image](https://img.shields.io/badge/License-tensorflow2.1-darkgreen)
![image](https://img.shields.io/badge/python-v3.7-darkgreen)
![image](https://img.shields.io/badge/pandas-v0.25.0-darkgreen)
![image](https://img.shields.io/badge/License-Apache_2.0-blue)
Email:hjq1922451756@gmail.com


>1.[code folder](https://github.com/TIXhjq/CTR_Function/tree/master/code)=[nn,feature_eng]
> 
>>1)新鲜,可食用  
>>>[CTR](https://github.com/TIXhjq/CTR_Function/tree/master/code/model/ctr_model)  
>
>>2)需要重构部分(历史代码)  
>>>[Graph(重构)](https://github.com/TIXhjq/CTR_Function/tree/master/code/model/embedding)  
>>>[Feature Enginner(重构)](https://github.com/TIXhjq/CTR_Function/tree/master/code/model/feature_eng)  
>
>2.[paper](https://github.com/TIXhjq/CTR_Function/tree/master/paper)=[nn(目前只有CTR部分,剩下的下次一定^_^)]  
>3.[data](https://github.com/TIXhjq/CTR_Function/tree/master/data)=[nn test sample data]  
  
  p.s 每层目录有对应的详细介绍...
  
  [部分nn模型小结,不过比较懒,就几个就是了](https://zhuanlan.zhihu.com/c_1145034612807028736)
      
  不过由于feature_eng基本都是以前收录的,有很多需要重构,还有GNN部分也是,目前可食用只有CTR部分(不过其实由于并没有开了上帝视角写东西,还有有一些需要重构等等),
  以后会把他们组合打包,最后希望是一个快速实现end2end的工具库.
kon-hjq 0.0.1
code
Requires Python: >=3.6

# CTR_Function

![image](https://img.shields.io/badge/author-TIXhjq-orange)
![image](https://img.shields.io/badge/License-tensorflow2.1-darkgreen)
![image](https://img.shields.io/badge/python-v3.7-darkgreen)
![image](https://img.shields.io/badge/pandas-v0.25.0-darkgreen)
![image](https://img.shields.io/badge/License-Apache_2.0-blue)
Email:hjq1922451756@gmail.com


>1.[code folder](https://github.com/TIXhjq/CTR_Function/tree/master/code)=[nn,feature_eng]
> 
>>1)新鲜,可食用  
>>>[CTR](https://github.com/TIXhjq/CTR_Function/tree/master/code/model/ctr_model)  
>
>>2)需要重构部分(历史代码)  
>>>[Graph(重构)](https://github.com/TIXhjq/CTR_Function/tree/master/code/model/embedding)  
>>>[Feature Enginner(重构)](https://github.com/TIXhjq/CTR_Function/tree/master/code/model/feature_eng)  
>
>2.[paper](https://github.com/TIXhjq/CTR_Function/tree/master/paper)=[nn(目前只有CTR部分,剩下的下次一定^_^)]  
>3.[data](https://github.com/TIXhjq/CTR_Function/tree/master/data)=[nn test sample data]  
  
  p.s 每层目录有对应的详细介绍...
  
  [部分nn模型小结,不过比较懒,就几个就是了](https://zhuanlan.zhihu.com/c_1145034612807028736)
      
  不过由于feature_eng基本都是以前收录的,有很多需要重构,还有GNN部分也是,目前可食用只有CTR部分(不过其实由于并没有开了上帝视角写东西,还有有一些需要重构等等),
  以后会把他们组合打包,最后希望是一个快速实现end2end的工具库.