Search Results for "image sequence" - Page 2
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Showing 77 open source projects for "image sequence"
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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. -
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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. ... -
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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. -
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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. -
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Deep Daze
Simple command line tool for text to image generation
Simple command-line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). In true deep learning fashion, more layers will yield better results. Default is at 16, but can be increased to 32 depending on your resources. Technique first devised and shared by Mario Klingemann, it allows you to prime the generator network with a starting image, before being steered towards the text. Simply specify the path to the image you wish to use, and... -
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photogrid
Minimalistic tool to arrange images in a grid, saving the result as a
Minimalistic tool to arrange images in a grid, saving the result as a png image (or sequence of png images). Usage java -cp photogrid-1.0.jar tech.rallen.photogrid.Main This has been tested with OpenJDK 11, and should work with any version of Java from 11 on. The tool takes 5 optional command line parameters 0 : path of input directory (default is ./testimages). 1 : width (in pixels) of each input image in the output image (default 1000) 2 : height (in pixels) of each input image in the output image (default 1000) (note the image will be scaled maintaining aspect ratio so it fits within both the width and height above) 3 : number of images per row in the output image(s) 4 : number of images per column in the output image(s) (default is to make a square with enough rows/columns to fit all the input images in a single output image) 5 : output path and filename, this will be suffixed by either just '.png' or if there is more than one -
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Deep Learning course
Slides and Jupyter notebooks for the Deep Learning lectures
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris. This course is being taught at as part of Master Year 2 Data Science IP-Paris. Note: press "P" to display the presenter's notes that include some comments and additional references. This lecture is built and maintained by Olivier Grisel and Charles Ollion. -
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Svgbob
Convert your ascii diagram scribbles into happy little SVG
Svgbob can create a nice graphical representation of your text diagrams. Svgbob provides a cli that takes text as input and creates an svg image as an output. Svgbob is a diagramming model which uses a set of typing characters to approximate the intended shape. -
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m6811dis
M6811 Code-Seeking Disassembler
The M6811 Code-Seeking Disassembler is a command-line tool that lets you enter known starting vectors for a given code image for the 6811 micro. It will disassemble the code and follow through branches to assist in the separation of code and data. Its companion Fuzzy Function Analyzer uses DNA Sequence Alignment Algorithms to locate similar code in multiple binaries, facilitating reverse-engineering. Originally written to analyze code from GM automotive engine controllers, but is useful anywhere a 6811 micro is being used. ... -
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Deep Exemplar-based Video Colorization
The source code of CVPR 2019 paper "Deep Exemplar-based Colorization"
...To address this issue, we introduce a recurrent framework that unifies the semantic correspondence and color propagation steps. Both steps allow a provided reference image to guide the colorization of every frame, thus reducing accumulated propagation errors. Video frames are colorized in sequence based on the colorization history, and its coherency is further enforced by the temporal consistency loss. All of these components, learned end-to-end, help produce realistic videos with good temporal stability. ... -
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Veneta Viewer
Image viewer and image sequence player
Veneta Viewer is a hardware-accelerated image viewer and image sequence player. It supports a large variety of formats, including many RAW images from cameras. Please refer to the Wiki for a complete list of supported formats. -
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Sparse Attention
"Generating Long Sequences with Sparse Transformers" examples
...It highlights both fixed and learnable sparsity patterns that trade off computational cost and model expressiveness. By enabling tractable training on longer contexts, the project opened the door to applications in large-scale text and image generation. Though archived, it remains a key reference for efficient transformer research, influencing many later architectures that aim to extend sequence length while reducing compute. -
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Pencil2D
Pencil2D is a cross-platform animation/drawing application.
Pencil2D is an animation/drawing application for OSX, Windows and Linux. It lets you create traditional hand-drawn animations (cartoons) using both bitmap and vector graphics. -
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videoshow
Simple node.js utility to create video slideshows from images
videoshow is a Node.js utility designed to create video slideshows from a sequence of images using FFmpeg as its processing engine. It allows developers to programmatically generate videos by combining images with optional audio tracks, subtitles, and visual transitions. The tool supports customization of parameters such as frame rate, resolution, bitrate, and codecs, enabling flexible output configurations. It includes both a programmatic API and a command-line interface, making it... -
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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 information. To add appropriate color to the geometrical information of the scene, the domain translation from depth to color is performed for each image. ... -
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linn9000fs
linn9000fs: access to Linn9000 / LinnSequencer image files and devices
linn9000fs: access to Linn9000 / LinnSequencer image files and devices. --- l9000fs: Copyright (c) 2010-2019 by Klaus Michael Indlekofer. All rights reserved. --- gui9000fs: Copyright (c) 2010-2011 by Klaus Michael Indlekofer and Alexander Kilb. All rights reserved. Note: Special restrictions apply. See disclaimers below and within the distribution. Special features: * can read, write, and format * optional conversion between "Custom Drum Sound" (SND-file) and WAV-file or ROM-file * export of "Drums" sequence (DSQ/DSX-file) or "Synth" sequence (MSQ/MSX-file) to MID-file * tar-file import/export (We are not affiliated in any way with companies/persons mentioned above. ... -
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Convolutional Recurrent Neural Network
Convolutional Recurrent Neural Network (CRNN) for image-based sequence
Convolutional Recurrent Neural Network provides an implementation of the Convolutional Recurrent Neural Network (CRNN) architecture, a deep learning model designed for image-based sequence recognition tasks such as optical character recognition and scene text recognition. The architecture combines convolutional neural networks for extracting visual features from images with recurrent neural networks that model sequential dependencies in the extracted features. This hybrid approach allows the model to recognize sequences of characters directly from images without requiring explicit character segmentation. ... -
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ERMaster is Eclipse plug-in to make ER diagram. Functionally, Import from data base, Making of table definition book on Excel, Image output, DDL output, etc. are being offered.
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Silent Mantis
Event recorder software for animal and human behaviour research.
Silent Mantis is a freely available, cross-platform event recorder software, which integrates the features of a video player, an image viewer and a spreadsheet editor. It can be used in animal or human behavioral research to manually record any animal or human bevavioral states or events from a video file. The results can be exported into text files for statistical evaluation purposes. SM was developed by Peter Szabo at the Institute of Biology of the University of Veterinary Medicine in... -
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APNG Assembler
Creates APNG animation from PNG/TGA image sequence.
Creates highly optimized Animated PNG files from PNG/TGA image sequences. CLI versions available for all major OSes. GUI versions for Windows and macOS. Also, APNG Disassembler can be found at http://sourceforge.net/projects/apngdis -
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A tool for finding missing or corrupt images in a sequence. Also generates basic statistics from Exif data. Targeting time-lapse and render-farm users when using post-processing tools such as After Effects.
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SimpleTAG
Massive audio tagger
SimpleTag is a cross-platform desktop tool, which allows to update the labels of all your music before incorporating it into a musical library or cloud service. Nowadays, the amount of music we have in our equipment is so large, it is no longer possible to manage with the traditional system of filenames and directories. The most convenient is to use the concept of libraries that handle the big market music players: iTunes, Amarok, Windows Media Player, Google Music, ..etc The labels... -
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APNG Disassembler
Deconstruct APNG file into a sequence of PNG frames.
This program converts APNG file into a sequence of individual PNG frames. Command-line interface and GUI viersions. Also, APNG Assembler can be found at http://sourceforge.net/projects/apngasm -
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ImagingAnalysis
Direct tissue-level image quantification package for Mathematica
ImagingAnalysis is a Mathematica package that performs grid-based analysis of time-lapse imaging data saved in a sequence of TIFF files. This package requires Mathematica 7.0. Revised on 14 May 2017: Bugs are fixed and incompatibility issues are resolved. The current version runs on Mathematica 11. -
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YOU_and_ME game
New further of playing X_O Game in a fantastic way enjoy the playing .
This game application using new further on design and play of the common game X_O by allow users choose their personal image from the PC and use it instead of the default coins the application use the File Dialog Form to select the image from the user folders and put the image in the player1 or player2 then start playing by clicking the boxes and see the sequence of the playing and if the user win the game show the image of the winner and congratulate him by a form. ...
