https://github.com/adeel-intizar/xtreme-vision

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.
https://github.com/adeel-intizar/xtreme-vision

artificial-intelligence artificial-neural-networks centernet computer-vision deep-learning image-processing instance-segmentation keras keras-tensorflow machine-learning object-detection python resnet retinanet segmentation semantic-segmentation tensorflow tf-keras xtreme-vision yolov4

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A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

• Host: GitHub
• URL: https://github.com/adeel-intizar/xtreme-vision
• Owner: Adeel-Intizar
• License: mit
• Created: 2020-10-06T11:22:46.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2022-06-09T08:12:53.000Z (over 2 years ago)
• Last Synced: 2024-10-27T10:11:22.591Z (10 days ago)
• Topics: artificial-intelligence, artificial-neural-networks, centernet, computer-vision, deep-learning, image-processing, instance-segmentation, keras, keras-tensorflow, machine-learning, object-detection, python, resnet, retinanet, segmentation, semantic-segmentation, tensorflow, tf-keras, xtreme-vision, yolov4
• Language: Jupyter Notebook
• Homepage:
• Size: 61.9 MB
• Stars: 79
• Watchers: 6
• Forks: 20
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • Changelog: ChangeLog.txt
  • License: LICENSE.txt

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README

        
# Xtreme-Vision

[![Build Status](https://camo.githubusercontent.com/6446a7907a4d4f8de024ec85750feb07d7914658/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f70617472656f6e2d646f6e6174652d79656c6c6f772e737667)](https://patreon.com/adeelintizar) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE.txt)

![](assets/intro.gif)

`Go to PyPI page`> [Here](https://pypi.org/project/xtreme-vision/)

This is the Official Repository of Xtreme-Vision. Xtreme-Vision is a High Level Python Library which is built with simplicity in mind for Computer Vision Tasks, such as Object-Detection, Human-Pose-Estimation, Segmentation Tasks, it provides the support of a list of state-of-the-art algorithms, You can Start Detecting with Pretrained Weights as well as You can train the Models On Custom Dataset and with Xtreme-Vision you have the Power to detect/segment only the Objects of your interest

Currently, It Provides the Solution for the following Tasks:

   - Object Detection

   - Pose Estimation

   - Object Segmentation

   - Human Part Segmentation

For Detection with pre-trained models it provides:

  - RetinaNet

  - CenterNet

  - YOLOv4

  - TinyYOLOv4

  - Mask-RCNN

  - DeepLabv3+ (Ade20k)

  - CDCL (Cross Domain Complementary Learning)

For Custom Training It Provides:

  - YOLOv4

  - TinyYOLOv4

  - RetinaNet with (resnet50, resnet101, resnet152) 

![](assets/pose.gif)

>If You Like this Project, Sponser it here [![Build Status](https://camo.githubusercontent.com/6446a7907a4d4f8de024ec85750feb07d7914658/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f70617472656f6e2d646f6e6174652d79656c6c6f772e737667)](https://patreon.com/adeelintizar)

### Dependencies:

  - tensorflow >= 2.3.0

  - keras

  - opencv-python

  - numpy

  - pillow

  - matplotlib

  - pandas

  - scikit-learn

  - scikit-image

  - imgaug

  - labelme2coco

  - progressbar2

  - scipy

  - h5py

  - configobj

## **`Get Started:`**

```python

!pip install xtreme-vision

```

 >### `For More Tutorials of Xtreme-Vision, Click` [Here](https://github.com/Adeel-Intizar/Xtreme-Vision/tree/master/Tutorials)

# **`YOLOv4` Example** 

### **`Image Object Detection` Using `YOLOv4`** 

```python

from xtreme_vision.Detection import Object_Detection

model = Object_Detection()

model.Use_YOLOv4()

model.Detect_From_Image(input_path='kite.jpg',

                        output_path='./output.jpg')

from PIL import Image

Image.open('output.jpg')

```