semvec/pypi-packages huggingface dataset:
C4point5 1.0.2
An implementation of C4.5 Algorithm
Requires Python: >=3.6

# C4.5 Algorithm implementation. 
## This work is a part of my Pattern Recognition Lab on CSE, KHULNA UNIVERSITY.
## Abdullah Al Noman, CSE-KU

### Hello there,
### To use this module, open command prompt and type - *```pip install C4point5```*

after installing the module write code as below,
```
from C4point5 import C45

model = C45.C4point5([train dataset path])

model.readDataset()
model.preprocessData()
model.generateTree()
model.printTree()
model.predict()
model.evaluate([test dataset path])
model.viewTruePred([test dataset path])
```
kokokouwis 0.0.0
This is for detect coordinates parts of the body
Keywords: python,opencv,mediapipe,detection

# Full_Body_LandMarks

### Explained

In this repo used [Mediapipe](https://google.github.io/mediapipe/solutions/solutions.html) solutions in sections:

- Face Mesh
- Hands
- Pose

Togther and achieved all coordinates every point


**Divide [Face Mesh](https://google.github.io/mediapipe/solutions/face_mesh.html) into :-**

Face Mesh images points in folder 

- Left Eye
- Right Eye
- Nose
- Mouth
- Head

**Divide [Hands](https://google.github.io/mediapipe/solutions/hands.html) into :-**

- Fingers

**Divide [Pose](https://google.github.io/mediapipe/solutions/pose.html) into :-**

- Chest
- Arms
- Legs


### Installation
[Download](https://codeload.github.com/kouwis/Full_Body_LandMarks/zip/refs/heads/main) package and put it in your project folder and import it as any packages such as: **Numpy**, **Math**

### Usage

```python
#Imports
import landmarks as LM
import cv2 as cv

cap = cv.VideoCapture(1)
face_detector = LM.Face() #Make instance from class

while 1:
    _, img = cap.read()

    imgRGB = cv.cvtColor(img, cv.COLOR_BGR2RGB)

    #Any function of them need two parameters (image, imageRGB)
    face_detector.Drawing(img, imgRGB)
    face_detector.Find_Points(img, imgRGB)  #Find_points function returns a list of all points in the class

    #To detect any part of the body you should call (Find_points) function
    #Any function of Them does not need parameters
    face_detector.Left_Eye()  #Any part of the body returns a list of points for this part

    cv.imshow("img", img)
    cv.waitKey(1)
```
kouwisjr 0.0.0
This is for detect coordinates parts of the body
Keywords: python,opencv,mediapipe,detection

# Full_Body_LandMarks

### Explained

In this repo used [Mediapipe](https://google.github.io/mediapipe/solutions/solutions.html) solutions in sections:

- Face Mesh
- Hands
- Pose

Togther and achieved all coordinates every point


**Divide [Face Mesh](https://google.github.io/mediapipe/solutions/face_mesh.html) into :-**

Face Mesh images points in folder 

- Left Eye
- Right Eye
- Nose
- Mouth
- Head

**Divide [Hands](https://google.github.io/mediapipe/solutions/hands.html) into :-**

- Fingers

**Divide [Pose](https://google.github.io/mediapipe/solutions/pose.html) into :-**

- Chest
- Arms
- Legs


### Installation
[Download](https://codeload.github.com/kouwis/Full_Body_LandMarks/zip/refs/heads/main) package and put it in your project folder and import it as any packages such as: **Numpy**, **Math**

### Usage

```python
#Imports
import landmarks as LM
import cv2 as cv

cap = cv.VideoCapture(1)
face_detector = LM.Face() #Make instance from class

while 1:
    _, img = cap.read()

    imgRGB = cv.cvtColor(img, cv.COLOR_BGR2RGB)

    #Any function of them need two parameters (image, imageRGB)
    face_detector.Drawing(img, imgRGB)
    face_detector.Find_Points(img, imgRGB)  #Find_points function returns a list of all points in the class

    #To detect any part of the body you should call (Find_points) function
    #Any function of Them does not need parameters
    face_detector.Left_Eye()  #Any part of the body returns a list of points for this part

    cv.imshow("img", img)
    cv.waitKey(1)
```
elvis-jonaszell97 0.8.0
A planning and management tool for electric vehicles charging infrastructure
Requires Python: >=3.6

<img src="https://i.imgur.com/CVM5RUD.png" alt="Elvis Logo" height="120px" 
/>

# Elvis
This repository contains the source code for Elvis, a planning and management tool for electric vehicles charging infrastructure.
## Installation
TODO
## Usage
TODO