Obj Libraries

再补充一句: "不积跬步无以至千里" this tutorial project will be long-term maintained , that maintained since 2019.

This repository is a collection of all things fun in image processing achieved with opencv and python. Projects and implementations are ever so on random topics but interesting ones nevertheless. Few…

PyLabel is a Python package to help you prepare image datasets for computer vision models including PyTorch and YOLOv5. It can translate bounding box annotations between different formats. (For exa…

A multi-purpose Video Labeling GUI in Python with integrated SOTA detector and tracker. Developed using PyQt5. The integrated object detectors and trackers are based on the following codes: Start by …

Lithops is a Python multi-cloud distributed computing framework. It allows you to run unmodified local python code at massive scale in the main serverless computing platforms. Lithops delivers the u…

💗 this lib? Leave a ★ and tell your colleagues! Example of a model to serialize: Example of using jsons to serialize: Example of using jsons to deserialize: Special thanks to the following contributo…

You can use this test automation framework to write     The setup for our open-sourced Python test automation framework is fairly simple. Don't get fooled by the length of this section. We have docum…

Or, Dataset class provides the flexibility to load image dataset by updating components of the class. Components of Dataset class are: These components can be updated with custom function by the user…

For both modes: For resizing: For object removal: The input image is on the left and the result of the algorithm is on the right. Animated gif: Many parts of the code are adapted/optimized versions o…

Or, Dataset class provides the flexibility to load image dataset by updating components of the class. Components of Dataset class are: These components can be updated with custom function by the user…

Implementation of an A.I. Player for the videogame League of Legends based on Image Recognition using PyTorch Attention: The old version using Tensorflow can be found in the branch "LeagueAI_2017". A…

Meet SportsLabKit: The essential toolkit for advanced sports analytics. Designed for pros and amateurs alike, we convert raw game footage into actionable data. We're kicking off with soccer and expan…

Yields: Below is a quick version of documentation until more time can be dedicated.

Remo is a web-based application to organize, annotate and visualize Computer Vision datasets. Remo runs on Windows, Linux, Mac or directly in Google Colab Notebooks. It can also be served on a privat…

Stb-tester issues commands to the device-under-test in the same way a real user does (typically using an infrared remote control). Stb-tester then checks the behaviour of the device-under-test by ana…

Announcement video When I started to get into more advanced Machine Learning, I started to see how these famous neural network architectures(such as EfficientNet), were doing amazing things. However,…

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Use Encord Active to visualize your data, evaluate your models, surface model failure modes, find labeling mistakes, prioritize high-value data for re-labeling and more! Encord Active helps you under…

This repo provides a working interactive code to use SIFT algorithm for image similarity. I have also presented some of the results. Check them out and let me know if you need something more. Anyone …

EVA comes with a wide range of commonly used computer vision models. It written in Python, and it is licensed under the Apache license.

A Dataset and Tracking Algorithm for Soccer with Fish-eye and Drone Videos. All data in SoccerTrack was obtained from 11-vs-11 soccer games between college-aged athletes. Measurements were conducted …

Learn Python by developing fun to play games like Pong and Asteroids. The games range from basic ones (which demonstrate basic concepts in Python) to some advanced ones which demonstrate the concepts…

Install packages from Terminal For Windows, Visual Studio 2019 + Git Bash is recommended. Clone the source code: Build Daisykit: Run face detection example: Build Daisykit: Run face detection example…

The output of the previous code is:                              

The installation via pip is as easy as typing If you want to install the newest version manually, you can also do this: And this is the output: Let's say your Test-Class only needs the variable var2 …

First we need to install the Tensorflow Object Detection API. You can either install dependencies or run the provided docker image. We use the gcr.io/tensorflow/tensorflow image, so we have already J…

CallofDuty.py is an asynchronous, object-oriented Python wrapper for the Call of Duty API. Construct a new Call of Duty client, then use the various services on the client to access different parts o…