https://github.com/meqdaddev/teachable-machine

A Python package designed to simplify the integration of exported models from Google's Teachable Machine platform into various environments.
https://github.com/meqdaddev/teachable-machine

classification-algorithm cnn-classification deep-learning deep-neural-networks image-classification image-processing keras machine-learning opencv opencv-python python

Last synced: 9 days ago
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A Python package designed to simplify the integration of exported models from Google's Teachable Machine platform into various environments.

• Host: GitHub
• URL: https://github.com/meqdaddev/teachable-machine
• Owner: MeqdadDev
• License: mit
• Created: 2022-03-24T14:42:36.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-08-18T12:12:25.000Z (3 months ago)
• Last Synced: 2024-10-12T11:15:02.573Z (25 days ago)
• Topics: classification-algorithm, cnn-classification, deep-learning, deep-neural-networks, image-classification, image-processing, keras, machine-learning, opencv, opencv-python, python
• Language: Python
• Homepage: https://meqdaddev.github.io/teachable-machine/
• Size: 2.64 MB
• Stars: 7
• Watchers: 3
• Forks: 3
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Teachable Machine

_By: [Meqdad Darwish](https://github.com/MeqdadDev)_



  



[![Downloads](https://static.pepy.tech/badge/teachable-machine)](https://pepy.tech/project/teachable-machine)

[![MIT License](https://img.shields.io/badge/License-MIT-green.svg)](https://choosealicense.com/licenses/mit/)

[![PyPI](https://img.shields.io/pypi/v/teachable-machine)](https://pypi.org/project/teachable-machine/)

A Python package designed to simplify the integration of exported models from Google's [Teachable Machine](https://teachablemachine.withgoogle.com/) platform into various environments.

This tool was specifically crafted to work seamlessly with Teachable Machine, making it easier to implement and use your trained models.

Source Code is published on [GitHub](https://github.com/MeqdadDev/teachable-machine)

Read more about the project (requirements, installation, examples and more) in the [Documentation Website](https://meqdaddev.github.io/teachable-machine/) 

## Supported Classifiers

**Image Classification**: use exported keras model from Teachable Machine platform.

## Requirements

``` Python >= 3.7 ```

## How to install package

```bash

pip install teachable-machine

```

## Example

An example for teachable machine package with OpenCV:

```python

from teachable_machine import TeachableMachine

import cv2 as cv

cap = cv.VideoCapture(0)

model = TeachableMachine(model_path="keras_model.h5",

                         labels_file_path="labels.txt")

image_path = "screenshot.jpg"

while True:

    _, img = cap.read()

    cv.imwrite(image_path, img)

    result, resultImage = model.classify_and_show(image_path)

    print("class_index", result["class_index"])

    print("class_name:::", result["class_name"])

    print("class_confidence:", result["class_confidence"])

    print("predictions:", result["predictions"])

    cv.imshow("Video Stream", resultImage)

    k = cv.waitKey(1)

    if k == 27:  # Press ESC to close the camera view

        break

    

cap.release()

cv.destroyAllWindows()

```

Values of `result` are assigned based on the content of `labels.txt` file.

For more; take a look on [these examples](https://meqdaddev.github.io/teachable-machine/codeExamples/)

### Links:

- [Documentation](https://meqdaddev.github.io/teachable-machine)

- [PyPI](https://pypi.org/project/teachable-machine/)

- [Source Code](https://github.com/MeqdadDev/teachable-machine)

- [Teachable Machine Platform](https://teachablemachine.withgoogle.com/)