As one of the developers' favorite languages, Python is known for its rich set of community-available tools and libraries. We have listed 10 popular Python libraries or platforms that developers can use for computer vision to help developers automate development tasks, which include detection and visualization.
1| fast
fastai is a deep learning library that provides high-level components that can quickly and easily deliver state-of-the-art results in standard deep learning domains. It also provides researchers with low-level components that can be mixed and matched to build new approaches.
fastai includes various features such as a GPU-optimized computer vision library that can be extended in pure Python, a new Python type dispatch system with a semantic type hierarchy for tensors, and more.
Link: https://github.com/fastai/fastai
2 | IPSDK
IPSDK is an image processing library written in C++ and Python. The library provides a complete set of image processing functions to process datasets, as well as a comprehensive and optimized range of functions for 2D and 3D image processing.
The IPSDK automatically adjusts itself to the architecture and capabilities of the processor. Features of the library include full PC cluster support, high-performance, high-availability computing, and more.
Link: https://www.reactivip.com/image-processing/
3 | Imutil
Imutils is a computer vision package that includes a collection of OpenCV+ convenience functions that make basic image processing functions like translation, rotation, resizing, skeletonizing, displaying Matplotlib images, sorting contours, detecting edges, etc. fairly easy.
4 | Hard
Keras is a high-level neural network library written in Python that can run on top of TensorFlow or Theano. The library was developed with a focus on enabling fast experimentation.
This deep learning library offers several features, including support for convolutional and recurrent networks, allowing easy and fast prototyping, and more.
Link: https://keras.io
5 | Matplotlib
Matplotlib is a comprehensive visualization library for creating static, animated, and interactive visualizations in Python. The library can perform functions such as developing publication-quality graphics, exporting and embedding into a variety of file formats and interactive environments, and more.
Link: https://matplotlib.org
6 | OpenCV
OpenCV is a popular, open-source computer vision library focused on real-time applications. The library has a modular structure and includes hundreds of computer vision algorithms. OpenCV includes image processing, video analysis, 2D feature framework, object detection, camera calibration, 3D reconstruction and other modules.
Link: https://opencv.org
7 | Pytessarct
Pytessarct or Python-tesseract is an optical character recognition (OCR) tool for the Python language. This tool is a wrapper around google's tesseracc - ocr engine that helps to recognize and read text embedded in images.
This tool can also be used as a stand-alone calling script for tesseract, which can read all image types supported by Pillow and Leptonica image libraries, including jpeg, png, gif, bmp, tiff, etc.
Link: https://pypi.org/project/pytesseract/
8 | PyTorchCV
PyTorchCV is a framework for computer vision tasks based on pytorch. The framework is a collection of image classification, segmentation, detection and pose estimation models. There are many implemented models in this framework, including AlexNet, ResNet, ResNeXt, pyramid idnet, SparseNet, DRN-C/DRN-D, etc.
Link: https://pypi.org/project/pytorchcv/
9 | Scikit-Image
Scikit-Image is a popular open source Python library that contains a set of algorithms for image processing. It's basically a SciPy image processing toolbox. Built in scipy.n-image provides a set of general-purpose image processing routines in the Python language. This image processing library provides a well-documented API in the Python programming language and implements algorithms and utilities for research, education, and industrial applications.
Link: https://scikit-image.org
10 | SimpleCV
SimpleCV is a popular machine vision framework for building computer vision applications. This library is written in Python and facilitates access to several high-performance computer vision libraries such as OpenCV.
The framework is a collection of libraries and software that can be used to develop vision applications. It provides a clean, readable interface for cameras, image processing, feature extraction, and format conversion. It also allows users to use image or video streams from webcams, Kinect, FireWire and IP cameras or mobile phones.
Link: http://simplecv.org