Computer Vision

A Computer vision package that makes its easy to run Image processing

CVZone This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries. Installation You can simply use pip to install the latest version of cvzone. pip install cvzone 60 FPS Face Detection import cvzone import cv2 cap = cv2.VideoCapture(0) detector = cvzone.FaceDetector() while True: success, img = cap.read() img, bboxs = detector.findFaces(img) print(bboxs) cv2.imshow(“Image”, img) cv2.waitKey(1) Hand Tracking Basic Code Example import cvzone import cv2 […]

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Machine Learning

A Lucid Framework for Transparent and Interpretable Machine Learning Models

lucidmode lucidmode is an open-source, low-code and lightweight Python framework for transparent and interpretable machine learning models. It has built in machine learning methods optimized for visual interpretation of some of the most relevant calculations. Installation With package manager (coming soon) Install by using pip package manager: pip install lucidmode Clone entire github project [email protected]:lucidmode/lucidmode.git and then install dependencies pip install -r requirements.txt Models Artificial Neural Network Feedforward Multilayer perceptron with backpropagation. fit: Fit model to data predict: Prediction according […]

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Command-line Tools

The command line interface for Gradient

Gradient CLI Gradient is an an end-to-end MLOps platform that enables individuals and organizations to quickly develop, train, and deploy Deep Learning models. The Gradient software stack runs on any infrastructure e.g. AWS, GCP, on-premise and low-cost Paperspace GPUs. Leverage automatic versioning, distributed training, built-in graphs & metrics, hyperparameter search, GradientCI, 1-click Jupyter Notebooks, our Python SDK, and more. Key components: Notebooks: 1-click Jupyter Notebooks. Experiments: Run experiments from a web interface, CLI, SDK, or GradientCI bot. Models: Store, analyze, […]

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Database

A PostgreSQL or SQLite orm for Python

Prom An opinionated lightweight orm for PostgreSQL or SQLite. Prom has been used in both single threaded and multi-threaded environments, including environments using Greenthreads. 1 Minute Getting Started with SQLite First, install prom: $ pip install prom Set an environment variable: $ export PROM_DSN=sqlite://:memory: Start python: $ python Create a prom Orm: >>> import prom >>> >>> class Foo(prom.Orm): … table_name = “foo_table_name” … bar = prom.Field(int) … >>> Now go wild and create some Foo objects: >>> for x […]

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HTTP

HTTP client mocking tool for Python

HTTPretty HTTP Client mocking tool for Python created by Gabriel Falcão . It provides a full fake TCP socket module. Inspired by FakeWeb Install pip install httpretty Common Use Cases Test-driven development of API integrations Fake responses of external APIs Record and playback HTTP requests Simple Example import sure import httpretty import requests @httpretty.activate def test_httpbin(): httpretty.register_uri( httpretty.GET, “https://httpbin.org/ip”, body='{“origin”: “127.0.0.1”}’ ) response = requests.get(‘https://httpbin.org/ip’) response.json().should.equal({‘origin’: ‘127.0.0.1’}) httpretty.latest_requests().should.have.length_of(1) httpretty.last_request().should.equal(httpretty.latest_requests()[0]) httpretty.last_request().body.should.equal(‘{“origin”: “127.0.0.1”}’) checking multiple responses @httpretty.activate def test_post_bodies(): url = ‘http://httpbin.org/post’ […]

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Deep Learning

Medical image analysis framework merging ANTsPy and deep learning

ANTsPyNet A collection of deep learning architectures and applications ported to the python language and tools for basic medical image processing. Based on keras and tensorflow with cross-compatibility with our R analog ANTsRNet. Documentation page https://antsx.github.io/ANTsPyNet/. Installation Publications Nicholas J. Tustison, Talissa A. Altes, Kun Qing, Mu He, G. Wilson Miller, Brian B. Avants, Yun M. Shim, James C. Gee, John P. Mugler III, Jaime F. Mata. Image- vs. histogram-based considerations in semantic segmentation of pulmonary hyperpolarized gas images. (medrxiv) […]

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Animation

A Python description of the Kinematic Bicycle Model with an animated example

Kinematic Bicycle Model A Python description of the Kinematic Bicycle Model with an animated example. Abstract A python library for the Kinematic Bicycle model. :param x: (float) vehicle’s x-coordinate :param y: (float) vehicle’s y-coordinate :param yaw: (float) vehicle’s heading [rad] :param v: (float) vehicle’s velocity in the x-axis [m/s] :param throttle: (float) vehicle’s forward speed [m/s] :param delta: (float) vehicle’s steering angle [rad] :param L: (float) vehicle’s wheelbase [m] :param max_steer: (float) vehicle’s steering limits [rad] :param c_r: (float) vehicle’s […]

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Python

Write Pythonic and Clean Code With namedtuple

Python’s collections module provides a factory function called namedtuple(), which is specially designed to make your code more Pythonic when you’re working with tuples. With namedtuple(), you can create immutable sequence types that allow you to access their values using descriptive field names and the dot notation instead of unclear integer indices. If you have some experience using Python, then you know that writing Pythonic code is a core skill for Python developers. In this tutorial, you’ll level up that […]

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Machine Learning

A rotation-equivariant GNN for learning from biomolecular structure

Geometric Vector Perceptron Implementation of equivariant GVP-GNNs as described in Learning from Protein Structure with Geometric Vector Perceptrons by B Jing, S Eismann, P Suriana, RJL Townshend, and RO Dror. This repository serves two purposes. If you would like to use the GVP architecture for structural biology tasks, we provide building blocks for models and data pipelines. If you are specifically interested in protein design as described in the paper, we provide scripts for training and testing models. Note: This […]

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Face recognition

Deep Face Detection Library in TensorFlow for Python

RetinaFace RetinaFace is the face detection module of insightface project. The original implementation is mainly based on mxnet. Then, its tensorflow based re-implementation is published by Stanislas Bertrand. This repo is heavily inspired from the study of Stanislas Bertrand. Its source code is simplified and it is transformed to pip compatible but the main structure of the reference model and its pre-trained weights are same. Installation The easiest way to install retinaface is to download it from pypi. pip install […]

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