How easy is it to work with image recognition using PyCharm Community edition?

 

PyCharm Community edition is a very powerful IDE for developing Python applications. Community editions while free lack all the features of a professional edition. 

PyCharm has many desirable features:

1. Supports image processing libraries such as PIL(Pillow), OpenCV and matplotlib. These libraries can be installed from within PyCharm using pip.

2. You can easily create Python files(.py)

   PIL after installing can be used to work with images(Load, manipulate and save)

   Image manipulation allows loading, resizing, filtering and saving of images

3. It has a Python Console for quickly running and testing experimental codes. Console also supports         displaying images directly in the console.

4. PyCharm allows youto format Python code consistently and has built-in refactoring tools that help in        maintaining code and improving readability.

5. PyCharm's virtual environments can isolate image processing project from other Python projects.

6. For image recognition, you will require other deep learning libraries such as Keras and TensorFLow.

   For image classification you can build and train custom conventional neural networks(CNNs)

   For feature extraction and preprocessing you can use PIL and OpenCV before feeding into neural 

   network

   Extend image recognition to object detection within an image

   You can visualize model performance, loss curves and accuracy metrics using matplotlib

   OpenCV and ImageViewer plugins allow for efficient image manipulation and analysis.

This should take you quite bit into the image processing tasks

How do you install PyCharm Community Edition?

Just follow the link.

Run the executable file preferably as the administrator. The PyCharm will be installed pretty quickly.