semvec/pypi-packages huggingface dataset:
namehint 1.0.0
A tool that provides English synonyms for Korean words to assist in English naming.
Requires Python: >=3.6

# NameHint

**NameHint**는 한글 단어의 영어 동의어를 제공하여 영어 변수나 함수 이름을 짓는 데 도움을 주는 CLI 도구입니다.  
"아, 그거 영어로 뭐였지?" 라는 생각이 들 때 유용하게 사용할 수 있습니다.

이 도구는 [한국어기초사전](https://krdict.korean.go.kr/kor/mainAction)의 데이터를 사용하고 있습니다.  
관련 자세한 내용은 [블로그 링크](https://gongboo.github.io/project/namehint/)에서 확인할 수 있습니다.

## pip 으로 설치

```bash
pip install namehint
```

## 사용법

```bash
namehint [ 단어 ]
```

## 예시

### 단어 찾기

```bash
namehint 공부
```

다음과 같이 출력

> \[ 공부 \]: study

### 단어가 없는 경우 : 비슷한 단어

```bash
namehint 학교가자
```

다음과 같이 출력

> '학교가자' 해당 단어를 찾을 수 없습니다. 이 단어를 찾으셨나요?
>
> - 학교: school
> - 학교장: principal
> - 학교 교육: school education; schooling
> - 학교생활: school life; student life

### 단어가 없는 경우 : 비슷한 단어

```bash
namehint school
```

다음과 같이 출력

> 'school' 해당 단어를 찾을 수 없습니다.
scikit-learn-1.5.2 1.9
Dependency for ML based modules

<p>scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

The project was started in 2007 by David Cournapeau as a Google Summer of Code project, and since then many volunteers have contributed. See the About us page for a list of core contributors.

It is currently maintained by a team of volunteers.

Website: https://scikit-learn.org

Scikit-learn 0.20 was the last version to support Python 2.7 and Python 3.4. scikit-learn 1.0 and later require Python 3.7 or newer. scikit-learn 1.1 and later require Python 3.8 or newer.

Scikit-learn plotting capabilities (i.e., functions start with plot_ and classes end with Display) require Matplotlib (>= 3.3.4). For running the examples Matplotlib >= 3.3.4 is required. A few examples require scikit-image >= 0.17.2, a few examples require pandas >= 1.1.5, some examples require seaborn >= 0.9.0 and plotly >= 5.14.0.</p>
geoportaldemo 1.0.0
A light weight command line menu that supports Windows, MacOS, and Linux
Keywords: python, menu, dumb_menu, windows, mac, linux


# dumb_menu

[![Downloads](https://static.pepy.tech/badge/dumb-menu)](https://pepy.tech/project/dumb-menu)

simple_term_menu don't support windows, so I made dumb_menu.

dumb_menu is not as powerful as simple_term_menu , but this a **GOOD OLD MENU** .

dumb_menu is a light weight command line menu that supports **Windows**, **MacOS**, and **Linux**.


## Installation

```
pip install dumb-menu
```

https://pypi.org/project/dumb-menu/

https://github.com/cornradio/dumb_menu (I want stars ⭐ uwu)

## Usage

example:

```python
import dumb_menu
options = ["[1]Option 1", "[2]Option 2", "[3]Option 3","[q]quit"]
index = dumb_menu.get_menu_choice(options)
print(f"You selected option {index + 1}: {options[index]}")
```


![png](https://raw.githubusercontent.com/cornradio/imgs/main/20230214163952.png)

another example:

```python
import os
import dumb_menu

def loopmenu():
    options = ["[1]happy",
            "[2]sad",
            "[3]give me a cookie",
            "[q]quit"]
    index = dumb_menu.get_menu_choice(options,isclean = True)
    # clear screen, cls for windows, clear for linux
    os.system('cls') 
    # Python 3.10+ only,old version could use if-else
    match index:
        case 0:
            print(":)")
        case 1:
            print(":(")
        case 2:
            print("🍪ヾ(•ω•`)o")
        case 3:
            exit()
    input('Press ENTER to continue...')

if __name__ == "__main__":
    while True:
        loopmenu()
```
![Imgur](https://i.imgur.com/7zjLt8g.png)


## Get help

Get help ➡️ [Github issue](https://github.com/cornradio/dumb_menu/issues)

## Update log


`1.0.8` add "return key string" option , add `demo.py`  As a straightforward example

```python
dumb_menu.get_menu_choice(options,give_key_str = True)
```

`1.0.7` fix "flickering on mac zsh" 

`1.0.6` forget write log in 1.0.5

`1.0.5` fix bug in 1.0.4

`1.0.4` support "clean mode" 

`1.0.3` show selected index also when using hotkey  

`1.0.2` first useable version

`1.0.1` fix bug

`1.0.0` first release

## how to upload a new version (for me)

en: https://packaging.python.org/tutorials/packaging-projects/ 

zh: https://python-packaging-zh.readthedocs.io/zh_CN/latest/minimal.html#id2

> make sure have twine installed first

1. change `setup.py`
2. testing `python3 setup.py develop`
3. `python3 setup.py sdist`
4. `twine upload dist/*`

test code :
```
python3

import dumb_menu
dumb_menu.demo()
```
signapse 1.1.6
Signapse_synthetic_signer
Requires Python: >3.7

# Signapse synthetic signer
![Signapse](https://static.wixstatic.com/media/45e73d_8ab2ecfdee064f20860fe2a1e3f8ddb2~mv2.png/v1/fill/w_132,h_35,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/Blank%202000%20x%202000%20-%202022-04-03T185113_234.png)

Tested using python=3.10.9

### Example command 

```python inference.py "{\"GPU\":\"cuda\",\"input_path\":\"/home/basheer/Downloads/J_O_U_S_T.mp4\",\"start\":0,\"stop\":-1,\"num_workers\":1,\"GAN_folder\":\"crop_567\",\"signer\":\"Rachel\",\"detailed_video\":\"False\",\"organisation_id\":\"0\",\"sign_request_id\":\"0\",\"sign_result_queue_url\":\"0\",\"synthetic_sign_results_bucket\":\"0\",\"input_mouthing_video\":\"/home/basheer/Downloads/J_O_U_S_T.mp4\"} ```


## GAN_Checkpoint files

GAN input files need to be downloaded to the respective folders. The GAN files are saved on.

To choose the output signer appearance, pass the respective `--signer XX` argument.

### Barbara

```--signer Barbara```

Download the  folder and store as *./Barbara*. 


### Safyan

```--signer Safyan```

Download the  folder and store as *./Safyan*.

### Mia

```--signer Mia```

Download the folder and store as *./Mia*.

## Face and Body Separate GANs

### To run without Face and Body (--GAN_folder GAN)
 
Pass the respective `--GAN_folder GAN` argument.

```--GAN_folder GAN```

### To run with Face and Body (--GAN_folder GAN_FaB)

Pass the respective `--GAN_folder GAN_FaB` argument.

```--GAN_folder GAN_FaB```

## Face Mesh

### To run with FaceMesh and FaceLandmarks (--GAN_folder GAN_FM)

```--GAN_folder GAN_FM```

### To run with FaceMesh and no FaceLandmarks (--GAN_folder GAN_FM_NoFL)

```--GAN_folder GAN_FM_NoFL```