Search Results for "image sequence"
Sort By:
Showing 67 open source projects for "image sequence"
View related business solutions-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
-
1
image-to-ascii
A Node.js module that converts images to ASCII art
image-to-ascii is a Node.js module that converts raster images into character-based terminal artwork. Input can come from a local file, remote URL, or in-memory Buffer. The converter maps pixel brightness to a configurable sequence of ASCII characters. It can preserve the original colors through ANSI foreground or background styles or generate plain monochrome output. -
2
ImageMagick
ImageMagick 7
ImageMagick® is a free, open-source software suite, used for editing and manipulating digital images. It can be used to create, edit, compose, or convert bitmap images, and supports a wide range of file formats, including JPEG, PNG, GIF, TIFF, and PDF. ImageMagick is widely used in industries such as web development, graphic design, and video editing, as well as in scientific research, medical imaging, and astronomy. Its versatile and customizable nature, along with its robust image... -
3
BRIG is a cross-platform (Windows/Mac/Unix) application that can display circular comparisons between a large number of genomes, with a focus on handling genome assembly data. Please cite the BRIG paper if BRIG is used to generate figures for publications: NF Alikhan, NK Petty, NL Ben Zakour, SA Beatson (2011) BLAST Ring Image Generator (BRIG): simple prokaryote genome comparisons, BMC Genomics, 12:402. PMID: 21824423
-
4
HunyuanVideo-I2V
A Customizable Image-to-Video Model based on HunyuanVideo
HunyuanVideo-I2V is a customizable image-to-video generation framework from Tencent Hunyuan, built on their HunyuanVideo foundation. It extends video generation so that given a static reference image plus an optional prompt, it generates a video sequence that preserves the reference image’s identity (especially in the first frame) and allows stylized effects via LoRA adapters. -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
5
Aseprite
Animated sprite editor & pixel art tool
...Create light and shadows with the shading ink. Create perfect strokes for pixel-art. Avoid extreme pixel distortions when rotating tiny sprites. Create patterns repeating the image in a 3x3 grid. Create custom brushes for dithering. Composite layers to create color effects. Open or save a sequence of images. Create animations and save them as .gif files. Export your work to sprite sheets in .png and .json files. Recovery your sprites in case of crash. Integrate Aseprite in your assets pipeline with the command-line interface (CLI). ... -
6
PersonaLive
Expressive Portrait Image Animation for Live Streaming
PersonaLive is an open-source diffusion-based portrait animation framework focused on generating expressive, long-duration animated sequences in real time, primarily for live streaming or interactive applications. It leverages deep generative models that condition on a static reference image and a driving input (such as motion or expression cues) to produce a seamless animated portrait sequence that can run indefinitely without segmentation artifacts. The framework prioritizes low-latency and streamable output, making it suitable for real-time creative workflows, broadcast overlays, or interactive avatars on consumer-grade GPUs. ... -
7
Lingvo
Framework for building neural networks
Lingvo is a TensorFlow based framework focused on building and training sequence models, especially for language and speech tasks. It was originally developed for internal research and later open sourced to support reproducible experiments and shared model implementations. The framework provides a structured way to define models, input pipelines, and training configurations using a common interface for layers, which encourages reuse across different tasks. -
8
scroll-world
A skill that turn any brand into a scrollable 3D world
Scroll World is an agent skill for producing immersive landing pages that feel like one continuous camera flight through a generated 3D world. It works with Claude Code, Codex, and other systems that support the SKILL.md format. The workflow interviews the user about the brand, message, visual direction, and ordered sequence of scenes. It then uses Higgsfield to generate still images, scene-entry videos, and connector clips built from matching boundary frames. A portable JavaScript engine... -
9
glslViewer
Console-based GLSL Sandbox for 2D/3D shaders shaders
...Different debug modes (histogram, textures, buffers, bounding box, etc). Shadow maps. Headless rendering. Fullscreen and screensaver mode. HoloPlay rendering on LookingGlass Display. Image export. PNG sequence export. WASM crosscompiling. Automatically generated set of defines based on the platform, buffer, render pass, geometry attributes and materials properties. Passing custom uniforms (float, int, vec2, vec3 and vec4) through console IN or OSC. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
10
FrameRenamer-Free
Safe image sequence renamer for video editors and VFX artists.
FrameRenamer is a lightweight Windows tool for safely renaming image sequences. It is designed for video editors, VFX artists, animators, and content creators who work with PNG or JPG image sequences and need to preserve correct frame order. Key features: • Safe renaming without overwriting files • Prevents missing or broken frame sequences • Simple user interface, no installation required • Supports common image sequence formats • Free and open source Official GitHub repository: https://github.com/lknam91-sudo/FrameRenamer-Free Support development: • GitHub Sponsors: https://github.com/sponsors/lknam91-sudo • Ko-fi: https://ko-fi.com/lknam -
11
ImageMagick
Display, convert, and edit raster image and vector image files
ImageMagick® is a free and open-source software suite for displaying, converting, and editing raster image and vector image files. It can read and write over 200 image file formats, and can support a wide range of image manipulation operations, such as resizing, cropping, and color correction. ImageMagick is written in C and is available for a wide range of operating systems, including Linux, macOS, and Windows. It can be used as a standalone application, or as a library that can be... -
12
HunyuanVideo-I2V
A Customizable Image-to-Video Model based on HunyuanVideo
HunyuanVideo-I2V is a customizable image-to-video generation framework developed by Tencent, extending the capabilities of HunyuanVideo. It allows for high-quality video creation from still images, using PyTorch and providing pre-trained model weights, inference code, and customizable training options. The system includes a LoRA training code for adding special effects and enhancing video realism, aiming to offer versatile and scalable solutions for generating videos from static image inputs. -
13
ktrain
ktrain is a Python library that makes deep learning AI more accessible
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply. ktrain is a lightweight wrapper for the deep learning library TensorFlow Keras (and other libraries) to help build, train, and deploy neural networks and other machine learning models. Inspired by ML framework extensions like fastai and ludwig, ktrain is designed to make deep learning and AI more accessible and easier to apply for both newcomers and experienced practitioners. With only a few lines... -
14
...Instead of text-based code, DVC uses a "color language" where sequences of colors represent instructions (opcodes) and data. The state of the computer's memory is represented by an image, and the execution of a program is a sequence of image transformations. This approach allows for a unique way of visualizing program execution and debugging. It also opens up possibilities for novel programming paradigms and user interfaces.
-
15
miRDeep*
MiRDeep*
Please cite: An, J., Lai, J., Lehman, M.L. and Nelson, C.C. (2013) miRDeep*: an integrated application tool for miRNA identification from RNA sequencing data. Nucleic Acids Res, 41, 727-737. We will create index for you if you tell us your interested species (j.an@qut.edu.au). download command line version "MDS_command_line_Vxx.zip" clicking "Browse All Files" please find miRPlant in sourceforge for plant miRNA prediction. -
16
wxChaos
An interactive fractal explorer
wxChaos is an open-source application for exploring fractals through direct interaction. Move through familiar sets, follow the orbit behind a point, compare rendering methods, open a Julia preview, or examine the mathematics without leaving the application. It includes classic complex-plane fractals, chaotic maps, numerical systems, and vector constructions. The collection ranges from Mandelbrot and Julia sets to Newton basins, the Burning Ship, the Henon and Logistic maps, the double... -
17
gendasm
Generic Code-Seeking Diassembler with Fuzzy-Function Analyzer
GenDasm is a Generic Code-Seeking Diassembler engine. It allows you to enter known starting vectors for a given code image for the micro. It will disassemble the code and follow through branches to assist in the separation of code and data. Its included Fuzzy Function Analyzer companion uses a DNA Sequence Alignment Algorithm to locate similar code in multiple binaries to facilitate reverse-engineering and/or code recovery. The original purpose of the Fuzzy Function Analyzer was to assist in code recovery where the source code for the current binaries got lost, yet the source code for an old binary was retained. ... -
18
IPyPlot
Fast and efficient plotting of images inside Python Notebooks
IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images. -
19
Vimium C
A keyboard shortcut browser extension for keyboard-based navigation
...It supports all original commands of Vimium and some new useful commands (a full list can be seen in a help dialog in the Vimium C Options page). And it can map the same key sequence to different commands for different websites (and/or for different active elements on the page). It can copy any selected text and current tab's title and URL to the system clipboard, and read the clipboard to search the copied text using a specified search engine. It can also enable/disable websites' image loading and even JavaScript execution, if you trigger its command "toggleCS". -
20
DALL-E in Pytorch
Implementation / replication of DALL-E, OpenAI's Text to Image
...Currently only the VAE with a codebook size of 1024 is offered, with the hope that it may train a little faster than OpenAI's, which has a size of 8192. In contrast to OpenAI's VAE, it also has an extra layer of downsampling, so the image sequence length is 256 instead of 1024 (this will lead to a 16 reduction in training costs, when you do the math). -
21
Amiga Memories
A walk along memory lane
...The purpose of the script is to define the spoken and written content. The spoken text will be read by a voice synthesizer (Text To Speech or TTS), the written text is simply drawn on the image as subtitles. Here, in addition to the spoken & written narration, the script controls the camera movements as well as the LED activity of the computer. Amiga Memories' video images are computed by the GameStart 3D engine (pre-HARFANG 3D). Although the 3D assets are designed to be played back in real-time with a variable framerate, the engine is capable of breaking down the video sequence into the 30th or 60th of a second, as TGA files. -
22
SequenceDiagram
SequencePlugin for IntelliJ IDEA
Sequence Diagram is a tool to generate simple sequence diagrams (UML) from Java, kotlin, scala(Beta), and Groovy (limited) code. -
23
Minimal text diffusion
A minimal implementation of diffusion models for text generation
A minimal implementation of diffusion models of text: learns a diffusion model of a given text corpus, allowing to generate text samples from the learned model. The main idea was to retain just enough code to allow training a simple diffusion model and generating samples, remove image-related terms, and make it easier to use. To train a model, run scripts/train.sh. By default, this will train a model on the simple corpus. However, you can change this to any text file using the --train_data argument. Note that you may have to increase the sequence length (--seq_len) if your corpus is longer than the simple corpus. ... -
24
Augmentor.jl
A fast image augmentation library in Julia for machine learning
A fast library for increasing the number of training images by applying various transformations. Augmentor is a real-time image augmentation library designed to render the process of artificial dataset enlargement more convenient, less error prone, and easier to reproduce. It offers the user the ability to build a stochastic image-processing pipeline (or simply augmentation pipeline) using image operations as building blocks. In other words, an augmentation pipeline is little more but a sequence of operations for which the parameters can (but need not) be random variables, as the following code snippet demonstrates. -
25
RQ-Transformer
Implementation of RQ Transformer, autoregressive image generation
...I also think there is something deeper going on, and have generalized this to any number of dimensions. You can use it by importing the HierarchicalCausalTransformer. For autoregressive (AR) modeling of high-resolution images, vector quantization (VQ) represents an image as a sequence of discrete codes. A short sequence length is important for an AR model to reduce its computational costs to consider long-range interactions of codes. However, we postulate that previous VQ cannot shorten the code sequence and generate high-fidelity images together in terms of the rate-distortion trade-off.
