Search Results for "linux image" - Page 25
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Showing 843 open source projects for "linux image"
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Reliable Metrics for Generative Models
Code base for the precision, recall, density, and coverage metrics
Reliable Fidelity and Diversity Metrics for Generative Models (ICML 2020). Devising indicative evaluation metrics for the image generation task remains an open problem. The most widely used metric for measuring the similarity between real and generated images has been the Fréchet Inception Distance (FID) score. Because it does not differentiate the fidelity and diversity aspects of the generated images, recent papers have introduced variants of precision and recall metrics to diagnose those... -
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StarGAN
Official PyTorch Implementation
StarGAN is an implementation of the Star Generative Adversarial Network, a model designed for multi-domain image-to-image translation using a single unified GAN architecture. Unlike earlier GAN approaches that required separate models for each domain pair, StarGAN enables flexible attribute transfer across multiple domains within one network, significantly improving efficiency and scalability. The repository includes full training and inference pipelines for tasks such as facial attribute... -
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Douyin-Bot
Python TikTok bot
Douyin-Bot is a Python automation project for interacting with the Douyin mobile app through Android device tooling. It was built as an experimental bot that captures phone screenshots, analyzes visible content, and performs automated app actions. The project uses Python and ADB to connect desktop-side logic with a mobile device. Its original goal was playful and experimental, focused on browsing and identifying content based on computer vision and face analysis. It is best understood as a... -
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PyTorch GAN Zoo
A mix of GAN implementations including progressive growing
PyTorch GAN Zoo is a comprehensive open research toolbox designed for experimenting with and developing Generative Adversarial Networks (GANs) using PyTorch. The project provides modular implementations of popular GAN architectures, including Progressive Growing of GANs (PGAN), DCGAN, and an experimental StyleGAN version. It is built to support both researchers and developers who want to train, evaluate, and extend GANs efficiently across diverse datasets such as CelebA-HQ, FashionGen, DTD,... -
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GoodByeCatpcha
Solver ReCaptcha v2 Free
An async Python library to automate solving ReCAPTCHA v2 by images/audio using Mozilla's DeepSpeech, PocketSphinx, Microsoft Azure’s, Google Speech and Amazon's Transcribe Speech-to-Text API. Also image recognition to detect the object suggested in the captcha. Built with Pyppeteer for Chrome automation framework and similarities to Puppeteer, PyDub for easily converting MP3 files into WAV, aiohttp for async minimalistic web-server, and Python’s built-in AsyncIO for convenience. -
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Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.
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face-api.js
JavaScript API for face detection and face recognition in the browser
face-api.js is a JavaScript and TypeScript library for face analysis in web browsers and Node.js. It runs neural networks through TensorFlow.js and accepts images, videos, canvases, or tensors as input. The API can locate one or many faces using several detector models with configurable accuracy and performance settings. It can identify facial landmarks, compute recognition descriptors, classify expressions, and estimate age and gender. High-level chained methods let developers combine... -
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TensorNets
High level network definitions with pre-trained weights in TensorFlow
High level network definitions with pre-trained weights in TensorFlow (tested with 2.1.0 >= TF >= 1.4.0). Applicability. Many people already have their own ML workflows and want to put a new model on their workflows. TensorNets can be easily plugged together because it is designed as simple functional interfaces without custom classes. Manageability. Models are written in tf.contrib.layers, which is lightweight like PyTorch and Keras, and allows for ease of accessibility to every weight and... -
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TensorFlow Object Counting API
The TensorFlow Object Counting API is an open source framework
The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems. Please contact if you need professional object detection & tracking & counting project with super high accuracy and reliability! You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to do it, please check one of the sample projects, which cover some of the... -
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Dissapearing-People
Removing people from complex backgrounds in real time
Person removal from complex backgrounds over time. Removing people from complex backgrounds in real-time using TensorFlow.js in the web browser using JavaScript. This code attempts to learn over time the makeup of the background of a video such that I can attempt to remove any humans from the scene. This is all happening in real-time, in the browser, using TensorFlow.js. This is an experiment. It may not be perfect in all situations. Go ahead and try it right now in your own web browser.... -
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Image Super-Resolution (ISR)
Super-scale your images and run experiments with Residual Dense
The goal of this project is to upscale and improve the quality of low-resolution images. This project contains Keras implementations of different Residual Dense Networks for Single Image Super-Resolution (ISR) as well as scripts to train these networks using content and adversarial loss components. Docker scripts and Google Colab notebooks are available to carry training and prediction. Also, we provide scripts to facilitate training on the cloud with AWS and Nvidia-docker with only a few... -
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VGGFace2
VGGFace2 Dataset for Face Recognition
VGGFace2 is a large-scale face recognition dataset developed to support research on facial recognition across variations in pose, age, illumination, and identity. It consists of 3.31 million images covering 9,131 subjects, with an average of over 360 images per subject. The dataset was collected from Google Image Search, ensuring a wide diversity in ethnicity, profession, and real-world conditions. It is split into a training set with 8,631 identities and a test set with 500 identities,... -
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imgaug
Image augmentation for machine learning experiments
imgaug is a library for image augmentation in machine learning experiments. It supports a wide range of augmentation techniques, allows to easily combine these and to execute them in random order or on multiple CPU cores, has a simple yet powerful stochastic interface and can not only augment images but also key points/landmarks, bounding boxes, heatmaps and segmentation maps. Affine transformations, perspective transformations, contrast changes, gaussian noise, dropout of regions,... -
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PixelCNN
Code for the paper "PixelCNN++: A PixelCNN Implementation..."
PixelCNN is the official implementation from OpenAI of the autoregressive generative model described in the paper Conditional Image Generation with PixelCNN Decoders. It provides code for training and evaluating PixelCNN models on image datasets, focusing on conditional image modeling where pixels are generated sequentially based on the values of previously generated pixels. The repository demonstrates how to apply masked convolutions to enforce autoregressive dependencies and achieve... -
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Image Quality Assessment
Convolutional Neural Networks to predict aesthetic quality of images
Image Quality Assessment is an open-source deep learning project that implements neural models for predicting the aesthetic and technical quality of digital images. The repository provides an implementation inspired by the NIMA (Neural Image Assessment) research approach, which uses convolutional neural networks trained on human-annotated datasets to estimate image quality scores. The goal of the project is to automatically evaluate images based on perceived quality factors such as... -
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VoiceShot API - CF SDK
ColdFusion SDK for the VoiceShot API.
VoiceShot's API allows you to quickly integrate both incoming and outgoing phone calling and text messaging services into your applications. From your own applications, you can easily place and receive interactive telephone calls and text messages. Put callers in touch with the data and people they want when they want it. Send notification phone calls and text messages, automate customer service calls/texts, provide order status and integrate with your own custom applications to provide... -
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VoiceShot API - PHP SDK
PHP SDK for processing phone calls and SMS through the VoiceShot API.
VoiceShot's API allows you to quickly integrate both incoming and outgoing phone calling and text messaging services into your applications. From your own applications, you can easily place and receive interactive telephone calls and text messages. Put callers in touch with the data and people they want when they want it. Send notification phone calls and text messages, automate customer service calls/texts, provide order status and integrate with your own custom applications to provide... -
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VoiceShot API - .NET SDK
.NET SDK for processing phone calls and SMS through the VoiceShot API.
VoiceShot's API allows you to quickly integrate both incoming and outgoing phone calling and text messaging services into your applications. From your own applications, you can easily place and receive interactive telephone calls and text messages. Put callers in touch with the data and people they want when they want it. Send notification phone calls and text messages, automate customer service calls/texts, provide order status and integrate with your own custom applications to provide... -
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VoiceShot API - ASP SDK
ASP SDK for processing phone calls and SMS through the VoiceShot API.
VoiceShot's API allows you to quickly integrate both incoming and outgoing phone calling and text messaging services into your applications. From your own applications, you can easily place and receive interactive telephone calls and text messages. Put callers in touch with the data and people they want when they want it. Send notification phone calls and text messages, automate customer service calls/texts, provide order status and integrate with your own custom applications to provide... -
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MetaErg
Metagenome Annotation Pipeline
MetaErg is a stand-alone and fully automated metagenome and metaproteome annotation pipeline published at: https://www.frontiersin.org/articles/10.3389/fgene.2019.00999/full. If you are using this pipeline for your work, please cite: Dong X and Strous M (2019) An Integrated Pipeline for Annotation and Visualization of Metagenomic Contigs. Front. Genet. 10:999. doi: 10.3389/fgene.2019.00999 The instructions on configuring and running the MetaErg pipeline is available at GitHub... -
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Merge PDF Files
It is a Windows library that merges standard PDFs into a final PDF
The library is intended for developers, for inclusion in desktop applications or server services. There are lots of SDKs on the market creating (merging) PDFs (almost all of them have limitations). Our Windows library (MergePDFByNMI.dll) only merges standard PDF files (there are several PDF formats). You can send the input PDFs (by file name or by byte array) and you can have the final PDF (saved on a file or get back on a byte array). The library calls can be synchronous... -
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NiftyNet
An open-source convolutional neural networks platform for research
An open-source convolutional neural networks platform for medical image analysis and image-guided therapy. NiftyNet is a TensorFlow-based open-source convolutional neural networks (CNNs) platform for research in medical image analysis and image-guided therapy. NiftyNet’s modular structure is designed for sharing networks and pre-trained models. Using this modular structure you can get started with established pre-trained networks using built-in tools. Adapt existing networks to your imaging... -
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AI Cheatsheets
Essential Cheat Sheets for deep learning and machine learning research
cheatsheets-ai is an open-source repository that collects essential cheat sheets covering many tools and concepts used in machine learning, deep learning, and data science. The project aims to provide quick-reference materials that help engineers, researchers, and students review key techniques and frameworks without reading extensive documentation. It compiles cheat sheets for widely used libraries and technologies such as TensorFlow, Keras, NumPy, Pandas, Scikit-learn, Matplotlib, and... -
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Emgu CSharp Face Recognition with Mail Recognizer for $184 full source code? mail dbinxecod@gmail.com It scan and detects faces pass by, so user may register the face, ones the face has been registered and when pass by again, it will recognized if it's normal passer or wanted AND THEN send email to the corresponding address.
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DCVGAN
DCVGAN: Depth Conditional Video Generation, ICIP 2019.
This paper proposes a new GAN architecture for video generation with depth videos and color videos. The proposed model explicitly uses the information of depth in a video sequence as additional information for a GAN-based video generation scheme to make the model understands scene dynamics more accurately. The model uses pairs of color video and depth video for training and generates a video using the two steps. Generate the depth video to model the scene dynamics based on the geometrical...
