Official English Documentation for ImageAI!¶

ImageAI is a python library built to empower developers, reseachers and students to build applications and systems with self-contained Deep Learning and Computer Vision capabilities using simple and few lines of code. This documentation is provided to provide detailed insight into all the classes and functions available in ImageAI, coupled with a number of code examples. ImageAI is a project developed by Moses Olafenwa and John Olafenwa , the AI Commons team.

The Official GitHub Repository of ImageAI is https://github.com/OlafenwaMoses/ImageAI

We are also working on adding new features to ImageAI soon, Including support for Android, iOS and .NET platforms with all the features contained. Kindly visit the Indiegogo Campaign project via link below to provide any support you can to make this possible.

Click here to support ImageAI on Indiegogo

Installing ImageAI¶

ImageAI requires that you have Python 3.5.1 or higher installed as well as some other Python libraries and frameworks. Before you install ImageAI, you must install the following dependencies.

Python 3.5.1 or higher, Download Python
pip3 , Download PyPi
Tensorflow 1.4.0 or higher
```
pip3 install --upgrade tensorflow
```
Numpy 1.13.1 or higher
```
pip3 install numpy
```
SciPy .19.1 or higher
```
pip3 install scipy
```
OpenCV
```
pip3 install opencv-python
```
Pillow
```
pip3 install pillow
```
Matplotlib
```
pip3 install matplotlib
```
h5py
```
pip3 install h5py
```
Keras
```
pip3 install keras
```

Once you have these packages installed on your computer system, you should install ImageAI by running the pip command below. Installing ImageAI

pip3 install https://github.com/OlafenwaMoses/ImageAI/releases/download/2.0.2/imageai-2.0.2-py3-none-any.whl

Once ImageAI is installed, you can start running very few lines of code to perform very powerful computer visions tasks as seen below.

Image Recognition