Search Results for "image" - Page 81
Sort By:
Showing 6540 open source projects for "image"
View related business solutions-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
1
Astro Boy Chat Room
Atom chat room nestjs+vue full stack chat room
In my spare time, I wanted to make a chat room to consolidate front-end skills, so I started the development journey of Astro chat room on June 24, 2020. The project is developed in full typescript, which is to lay the foundation for future functional iterations. Of course, I also like typescript very much. At present, the chat room has a complete chat function. More cool features will be developed in the future! Interested friends can fork to develop by themselves, you can change it at... -
2
amilab is a tool for image processing that includes its own scripting language, and an interface for visualizing 2d/3d images and 3d surfaces. Its main application is medical image processing.
-
3
The goal of this project is to provide method to process pictures onto an SD card that can be used in a Yaesu FTM-400 radio. The FTM-400 was designed to use a mic that has a build-in camera. This camera allows for pictures to be stored on the SD card. Once the picture is on the SD card, it can then be transferred over the air to either another radio(s) or a WIRES-X node. Python 3 is required. It has also been tested on Windows 7, Windows 10, Mac OS X, and Ubuntu. The pictures...
-
4
XLink Kai NOOBS
NOOBS compatible distro image for wrapper around the XLink Kai Engine
NOOBS compatible distro image for a wrapper around the XLink Kai Engine. XLink Kai allows one to play system-link / LAN-enabled games online for OG XBox, Xbox 360, Xbox One, PS2, PS3, PS4, Gamecube, Switch, PSP, and Vita. -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
5
lightgallery.js
Full featured JavaScript image & video gallery
lightgallery.js uses CSS-only approach for resizing images and videos. So it will be extremely flexible, and considerably faster than using the JavaScript approach. lightgallery.js comes with a few built in modules, such as thumbnails, full screen, zoom, etc. It is easy to create your own modules, as well as detach modules that you don't want to use. lightgallery.js supports touch and swipe navigation on touchscreen devices, as well as mouse drag for desktops. This allows users to navigate... -
6
DCGAN in Tensorflow
Deep Convolutional Generative Adversarial Networks
...The implementation includes adjustments such as updating the generator more frequently than the discriminator to help stabilize training. Users can train models on built-in datasets or plug in their own image collections with minimal changes. Overall, the project remains a widely cited baseline for understanding GAN mechanics within the TensorFlow ecosystem. -
7
cuneiformplus
Fork of OCR software cuneiform
Fork of OCR software cuneiform Original software see: https://launchpad.net/cuneiform-linux by Cognitive Technologies and Jussi Pakkanen Other Open Source OCR stuff see * Tesseract by Ray Smith (using the Leptonica image library) * GOCR * OCRAD -
8
ArrayFire.jl
Julia wrapper for the ArrayFire library
ArrayFire is a library for GPU and accelerated computing. ArrayFire.jl wraps the ArrayFire library for Julia, and provides a Julia interface. Install ArrayFire library: either download a binary from the official site, or you can build from source. -
9
ReinBIOS-VM
A BETA BIOS running on virtual machine
Copy the Makefile, bios.S and bios.ld from above, or extract the files from the archive below to a directory run make. You should end up with a 512 KB bios.rom file Copy bios.rom to your target VMware image directory and manually edit your .vmx file to have the line: bios440.filename = "bios.rom" Edit your virtual machine settings to make sure it has a serial port. The preferred method to access the serial console is to use a null modem emulator, such as com0com, a signed version of which I made available in the next post. Otherwise, you can use either use an actual host COM port (you'll need a null modem cable to another serial port), output to file (which is the easiest way to confirm that the BIOS works, as you will see some output there, but you won't be able to test the repeater) or a named pipe (with the end of pipe set for an application such as putty - the problem with using a pipe however being that you can only connect to it after the VM is started, so you will likely m -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
10
Google Analytics Beacon Analytics
Google Analytics collector-as-a-service (using GA measurement protocol
GA Beacon is a lightweight tracking proxy for pages that can display images but cannot run Google Analytics JavaScript. A page embeds a badge or transparent pixel whose URL identifies the analytics property and a meaningful tracking path. The service receives that image request, generates a visitor identifier, and forwards the hit through the Google Analytics Measurement Protocol. Cookies allow it to distinguish repeat visits without requiring client-side scripts. It can derive paths from referral data and offers several badge or pixel display modes. The public App Engine endpoint is intended mainly for demonstrations and prototypes. ... -
11
SageMaker MXNet Training Toolkit
Toolkit for running MXNet training scripts on SageMaker
SageMaker MXNet Training Toolkit is an open-source library for using MXNet to train models on Amazon SageMaker. For inference, see SageMaker MXNet Inference Toolkit. For the Dockerfiles used for building SageMaker MXNet Containers, see AWS Deep Learning Containers. For information on running MXNet jobs on Amazon SageMaker, please refer to the SageMaker Python SDK documentation. With the SDK, you can train and deploy models using popular deep learning frameworks Apache MXNet and TensorFlow.... -
12
We have now released version 2 of our EveryAuction-based software. This version is much more stable, with a now working auction editing facility and plenty of upgraded features. We now also have a new look which gives the script a more professional feel. We are currently looking for volunteers to help develop this script and help iron out a few bugs. Please contact me via the support link if you think you can help. :-) The bulky HTML editor has now been removed and been replaced with a...
-
13
LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, many image processing algorithms, some classification tools and much more...
-
14
quick-media
media(audio/image/qrcode/markdown/html/svg/png) support
quick-media is a lightweight multimedia processing toolkit designed to simplify common video and audio operations through streamlined command execution. It provides a wrapper around FFmpeg functionality, enabling users to perform tasks such as transcoding, clipping, and format conversion with simplified commands. The tool emphasizes ease of use while still allowing access to advanced encoding parameters when needed. It supports batch processing, making it efficient for handling multiple... -
15
imaginary
Fast, simple, scalable, Docker-ready HTTP microservice
Imaginary is a high-performance HTTP microservice for image processing written in Go and powered by bimg and libvips. It can run as a private or public service and is designed for large-scale, low-memory image workloads. Images can be supplied through POST bodies, local files, or remote URLs. Supported operations include resizing, cropping, rotation, conversion, watermarking, and other transformations exposed through a simple HTTP API. -
16
image-builder-rpi
SD card image for Raspberry Pi with Docker: HypriotOS
This repo builds the SD card image with HypriotOS for the Raspberry Pi 1, 2, 3, 4 and Zero. You can find released versions of the SD card image here in the GitHub releases page. To build this SD card image we have to take the files for the root filesystem from os-rootfs. -
17
BooruSharp
A C# library to browse Booru websites
BooruSharp is a C# library designed to simplify interaction with booru-style imageboard websites by providing a unified API for retrieving and managing image data across multiple platforms. It abstracts the differences between various booru implementations such as Danbooru, Gelbooru, and others, allowing developers to query posts, tags, and metadata without needing to handle site-specific logic. The library is distributed via NuGet and integrates seamlessly into .NET applications, making it particularly useful for developers building image browsers, bots, or automation tools. ... -
18
Age and Gender Estimation
Keras implementation of a CNN network for age and gender estimation
...We pose the age regression problem as a deep classification problem followed by a softmax expected value refinement and show improvements over direct regression training of CNNs. Our proposed method, Deep EXpectation (DEX) of apparent age, first detects the face in the test image and then extracts the CNN predictions from an ensemble of 20 networks on the cropped face. -
19
ATIF
Image format for console.
-
20
Software Renderer
A shader-based software renderer written from scratch in C89
...If the software renderer is launched without arguments, one of the available scenes will be chosen randomly. To display a specific scene, additional arguments should be supplied. Metallic-roughness workflow. Specular-glossiness workflow. Image-based lighting (IBL). Orbital camera controls. PBR material inspector. Perspective correct interpolation. Depth testing. Alpha testing. Alpha blending. Cubemapped skybox. Skeletal animation. Tangent space normal mapping. -
21
DSC is a software that allows you to customize your Discord status, much easier to use than EasyRP.
-
22
CNN Explainer
Learning Convolutional Neural Networks with Interactive Visualization
In machine learning, a classifier assigns a class label to a data point. For example, an image classifier produces a class label (e.g, bird, plane) for what objects exist within an image. A convolutional neural network, or CNN for short, is a type of classifier, which excels at solving this problem! A CNN is a neural network: an algorithm used to recognize patterns in data. Neural Networks in general are composed of a collection of neurons that are organized in layers, each with their own learnable weights and biases. ... -
23
Computer Vision Pretrained Models
A collection of computer vision pre-trained models
...Instead of building a model from scratch to solve a similar problem, we can use the model trained on other problem as a starting point. A pre-trained model may not be 100% accurate in your application. For example, if you want to build a self-learning car. You can spend years building a decent image recognition algorithm from scratch or you can take the inception model (a pre-trained model) from Google which was built on ImageNet data to identify images in those pictures. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone. ... -
24
DeepCluster
Deep Clustering for Unsupervised Learning of Visual Features
DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups. This alternating “cluster & train” scheme helps the model gradually discover meaningful structure without labels. ... -
25
Consistent Depth
We estimate dense, flicker-free, geometrically consistent depth
...The system builds upon traditional structure-from-motion (SfM) techniques to provide geometric constraints while integrating a convolutional neural network trained for single-image depth estimation. During inference, the model fine-tunes itself to align with the geometric constraints of a specific input video, ensuring stable and realistic depth maps even in less-constrained regions. This approach achieves improved geometric consistency and visual stability compared to prior monocular reconstruction methods. ...
