Best of Image Processing2024

  1. 1
    Article
    Avatar of pyimagesearchPyImageSearch·1y

    PNG Image to STL Converter in Python

    Learn how to convert a PNG image to an STL file using TripoSR in Python. This guide walks through setting up the environment, importing necessary libraries, processing the image to create a 3D model, and converting the model from OBJ to STL format. Ideal for designers, engineers, or hobbyists aiming to create 3D printable objects from 2D images.

  2. 2
    Video
    Avatar of webdevcodyWeb Dev Cody·2y

    How to Build a Full Stack Meme Generator (ImageKit, Next.js, Auth.js, Drizzle, Neon)

    Learn to build a full stack meme generator using Next.js, ImageKit, Auth.js, Drizzle, and PostgreSQL. The application allows users to upload, transform, tag, and search for memes using ImageKit's powerful functionalities. It also integrates authentication for user-specific features like favoriting memes. The guide provides step-by-step instructions, from setting up the repository to manipulating images and integrating with a media library.

  3. 3
    Video
    Avatar of theaisearchAI Search·2y

    This free AI turns photos into manga & comics

    A free and open-source AI tool is available that converts photos into manga or comic book images. The tool can handle complex poses and expressions, using different styles such as shjo manga and plain. You can use it on Hugging Face with free daily credits or install it locally for unlimited use. The guide provides detailed instructions for installation and setup on your computer.

  4. 4
    Article
    Avatar of watercoolerWatercooler·2y

    so !false

    The post discusses a topic related to tech news and cloud with an accompanying image.

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    Video
    Avatar of tiffintechTiff In Tech·2y

    Automating My Life With Python: Using Computer Vision to Choose The BEST Glasses For Me

    This post explores using Python and Cursor AI to develop a computer vision project to choose the best glasses based on facial features. It highlights the use of the NumPy and Pillow libraries for mathematical operations and image processing, respectively. Emphasis is placed on the fun and educational aspects of building projects with these tools, as well as the potential future demand for specialized developers in the age of AI coding tools.

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    Article
    Avatar of communityCommunity Picks·2y

    h2non/imaginary: Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing

    Imaginary is a fast, simple, and scalable HTTP microservice written in Go for high-level image processing using the efficient libvips library. It supports multiple image operations through a simple HTTP API and includes features such as API token authorization, URL signature protection, and CORS support. Imaginary can process images from various sources and can be deployed easily using Docker. It also provides mechanisms for image placeholder fallback and HTTP traffic throttling to handle high concurrency and mitigate DDoS attacks.

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    Article
    Avatar of communityCommunity Picks·2y

    cshum/imagor: Fast, secure image processing server and Go library, using libvips

    imagor is a robust image processing server and Go library that utilizes the efficient libvips library, providing 4-8x faster performance than ImageMagick. It supports various image processing use cases through a HTTP server, integrates seamlessly with Docker, and offers video thumbnail capabilities via ffmpeg bindings. imagor can be configured for different storage solutions like HTTP, file system, AWS S3, and Google Cloud Storage, supporting complex image operations and filters with secure URL signing to prevent DDoS attacks.

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    Article
    Avatar of communityCommunity Picks·2y

    Building a Background Removal Tool with Laravel and TransformersPHP

    Learn how to build a background removal tool using Laravel and TransformersPHP. This guide provides step-by-step instructions on setting up TransformersPHP, handling image processing, and integrating with Laravel. It covers installing prerequisites, implementing background removal, optimizing for page refreshes, real-time updates with Laravel Reverb, and adding features like image comparison and download functionality.

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    Video
    Avatar of t3dotggTheo - t3․gg·2y

    This tool annoyed me (so I built a free version)

    The author shares their frustration with existing tools for converting SVG to PNG. They introduce two free and open-source tools they've created to address this issue. Additionally, they give a demonstration of bolt.new, another tool sponsored by StackBlitz, and highlight the features and issues of various other conversion tools. The post encourages developers to build solutions for their unique problems and to contribute to open-source projects.

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    Article
    Avatar of communityCommunity Picks·2y

    imgproxy: fast and secure on-the-fly image processing

    imgproxy is a fast and secure on-the-fly image processing tool, with easy deployment using Docker, impressive features including PDF and video thumbnail capabilities, and excellent performance. The support team is also highly responsive and open to feature requests.

  11. 11
    Article
    Avatar of cyber_secCyber Security·2y

    Creating Ascii Art: Converting Image to Ascii

    Discover a free, easy-to-use online tool for converting images to ASCII art, useful for Python scripts. The tool allows tweaking of settings such as saturation, brightness, and contrast to achieve the desired effect.

  12. 12
    Article
    Avatar of logrocketLogRocket·2y

    Building Node.js modules in Rust with NAPI-RS

    NAPI-RS is a framework used for building Node.js modules with Rust, making it useful for tasks such as image resizing and cryptographic operations. This guide demonstrates creating an image resizer in Rust using NAPI-RS, installing required tools, writing the necessary Rust code, and comparing its performance with the 'sharp' npm package. By using parallel processing with the Rayon crate, the performance of the image resizer in Rust is improved significantly, highlighting the efficiency gains possible with Rust in Node.js applications.

  13. 13
    Article
    Avatar of gopenaiGoPenAI·2y

    A new tool for image-to-image translation: img2img-Turbo!

    img2img-Turbo introduces a new approach to image-to-image translation by leveraging pre-trained diffusion models to enable single-step image transformations. The tool employs CycleGAN-Turbo and pix2pix-Turbo models for unpaired and paired image translation tasks, respectively. This innovation enhances efficiency, preserves structural integrity, and allows for precise content control via text prompts. The streamlined architecture offers significant advancements for applications in creative editing, photo enhancement, visual effects, and image inpainting.

  14. 14
    Article
    Avatar of planetpythonPlanet Python·2y

    Creating Images in Your Terminal with Python and Rich Pixels

    Rich Pixels is a Python package created by Darren Burns from the Textual project, allowing you to display images directly in your terminal. It can be installed using pip and can render both pre-existing images and those created with Pillow. The resolution of the image affects its display quality. While there might not be many practical use cases, it is a fun addition to terminal applications.

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    Article
    Avatar of communityCommunity Picks·2y

    TensorFlow Object Detection in PHP

    Learn how to run TensorFlow models in PHP using the ONNX Runtime package. The tutorial covers converting a model to ONNX, installing the ONNX Runtime package, loading and manipulating images, and obtaining outputs from the model.

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    Article
    Avatar of communityCommunity Picks·2y

    Intervention Image v3

    Intervention Image v3 is an open source PHP image processing library that provides an easy way to edit images. It supports GD Library and Imagick, and has features such as unified API, processing of animated images, support for colorspaces and profiles, and more. The library follows the FIG PSR-12 standard and is fully unit tested.

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    Article
    Avatar of communityCommunity Picks·2y

    Writing & Compiling WASM in Rust

    This post discusses how to write a WebAssembly module in Rust for image processing. It covers different ways to deploy WebAssembly, and explains how to use JavaScript types in Rust.

  18. 18
    Article
    Avatar of twostopbitsTwo Stop Bits·2y

    How to present MS-DOS screenshots

    MS-DOS games with a 320x200 screen resolution need vertical scaling to fit modern displays with square pixels. To achieve correct proportions, resize images to 320x240 or 640x480. Use nearest neighbor scaling followed by a smooth filter for better results. For video upscaling, employ ffmpeg with specific filter chaining. Adjusting pixel aspect ratios is also crucial for accurate display.

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    Article
    Avatar of hnHacker News·2y

    AiuniAI/Unique3D: Official implementation of Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image

    Unique3D enables high-quality 3D mesh generation from a single image with demo implementations on Gradio, Huggingface, and an online platform. The project requires setting up a conda environment and installing specific dependencies. It's compatible with Ubuntu 22.04.4 LTS and CUDA 12.1, and detailed installation scripts for Windows are provided. Unique3D performs best with high-resolution, orthographic front-facing images with minimal occlusions.

  20. 20
    Article
    Avatar of freecodecampfreeCodeCamp·2y

    Rust Tutorial – Learn Multi-Scale Processing of Astronomical Images

    This post explains the concept of multi-scale image processing and introduces the À Trous Wavelet Transform, which is used in various applications, especially in astronomical image and data processing. It provides a tutorial on how to implement the transform in the Rust programming language.

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    Article
    Avatar of phProduct Hunt·2y

    Dynaimage - Instantly transform all remote images in just 3 seconds

    Instantly transform remote images in just 3 seconds. Change SEO meta images in real-time. Apply design templates across numerous images through onelink.

  22. 22
    Article
    Avatar of itnextITNEXT·2y

    Mini PyTorch from Scratch — Module 6 (part 2)

    Introduces the 2d upsampling operation using nearest neighbor interpolation, an alternative to transposed convolution to avoid checkerboard artifacts. The post details the implementation of the Upsample2d class, which includes methods for resizing with nearest neighbor interpolation. This lays the groundwork for building complex image generation networks like UNet and GANs.

  23. 23
    Article
    Avatar of hnHacker News·2y

    Stylized image binning algorithm

    Learn how to create stylized, pixel-art-like images using a binning algorithm in Javascript and the <canvas> element. The algorithm allows for the creation of stylized pixel-art imagery from an uploaded photo or graphic by dividing the input picture into bins and placing black squares within each bin based on the average brightness of the pixels.

  24. 24
    Article
    Avatar of ds_centralData Science Central·2y

    Python tips: Turn images into text effectively

    Learn how to convert images to editable text using Python by installing the necessary libraries and setting up Tesseract OCR. The guide covers the installation of an IDE, acquiring libraries like Pillow and Pytesseract, configuring Tesseract, preparing appropriate images, and writing Python code to extract text. An alternative method using an online converter is also provided for quick, hassle-free conversions.

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    Video
    Avatar of communityCommunity Picks·2y

    OpenCV tutorial for beginners | FULL COURSE in 3 hours with Python

    Felipe provides a comprehensive three-hour course on OpenCV using Python, covering fundamental concepts like image representation, reading and writing images and videos, basic operations such as cropping and resizing, and advanced functions like color spaces, blurring, thresholding, and edge detection. Two practical projects, color detection and face anonymization, are included to apply the learned concepts.