Search Results for "image optimizer"
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Showing 13 open source projects for "image optimizer"
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image-optimizer
Easily optimize images using PHP
Spatie Image Optimizer is a PHP package that automatically optimizes images by compressing them without losing quality. It works with various image formats, including JPEG, PNG, GIF, and SVG, by using underlying optimization tools. The package is lightweight and can be easily integrated into web applications to reduce image file sizes, enhancing loading speed and performance. -
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Laravel Image Optimizer
Optimize images in your Laravel app
This package is the Laravel 6.0 and up-specific integration of spatie/image-optimizer. It can optimize PNGs, JPGs, SVGs, and GIFs by running them through a chain of various image optimization tools. The package will automatically detect which optimization binaries are installed on your system and use them. -
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This tool helps to optimize images (in batch) to their best quality given a constraint file size in KBs. It utilizes opensource tools such as imagemagick, with a modified binary search tree algorithm. Inspired by handbrake, it has been compiled for Windows 11 with Python 3.13.0 version. Most compatible for jpeg image files. See the intro video clip for how it works.
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neural-style in TensorFlow
Neural style in TensorFlow
neural-style in TensorFlow is a TensorFlow implementation of neural style transfer. It creates a new image by combining the content of one image with the artistic style of one or more style images. The project uses TensorFlow automatic differentiation and the Adam optimizer rather than the original L-BFGS approach. Users can run it from the command line by providing a content image, style image inputs, and an output path. It supports checkpoint outputs, iteration control, style blending, and hyperparameter tuning for content weight, style weight, and learning rate. ... -
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OptiPNG
Advanced PNG optimization program
OptiPNG is a PNG optimizer that recompresses image files to a smaller size, without losing any information. This program also converts external formats (BMP, GIF, PNM and TIFF) to optimized PNG, and performs PNG integrity checks and corrections. -
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YOLOV3 Pytorch
This is a source code for yolo3-pytorch
...The repository provides a complete workflow for users who want to train their own object detector with VOC-style data or use pretrained weights. It includes utilities for annotation conversion, anchor generation, image prediction, video prediction, batch prediction, FPS measurement, heatmap output, and mAP evaluation. The project added multi-GPU training, target count statistics, learning rate scheduling with step and cosine options, and optimizer selection between Adam and SGD. It also includes adaptive learning rate adjustment based on batch size, image cropping, many configurable parameters, and expanded comments for easier study. ... -
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YOLOV4 Pytorch
This is a source code for YoloV4-pytorch that can be used to train you
...The project added multi-GPU training, seed settings for reproducible results, adaptive learning rate behavior based on batch size, and both step and cosine learning rate schedules. It also supports Adam and SGD optimizer choices, image cropping, adjustable parameters, and extensive code comments. It is a useful educational and applied repository for users who want to understand or customize YOLOv4 in PyTorch. -
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Img Optimizer Gradle Plugin
Gradle plugin for optimizing PNGs
Img Optimizer Gradle Plugin is a build-time utility for Android projects that automatically compresses PNG images to reduce APK size. It supports both lossless compression (no quality loss) and near-lossless or more aggressive compression modes, depending on configuration. The plugin runs during the Gradle build cycle, scanning image assets and applying optimizations transparently, which helps minimize the app’s binary footprint without manual image editing. -
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Faster-Rcnn
This is a pytorch implementation library of faster-rcnn
...It supports backbone options through pretrained VGG and ResNet weights, making it useful for comparing feature extractors. The project also includes learning rate scheduling through step and cosine methods, optimizer choices between Adam and SGD, adaptive learning rate behavior based on batch size, image cropping, FPS testing, video prediction, and batch prediction. It is a practical reference for users who want a more classical two-stage detector workflow in PyTorch. -
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Zopfli
Zopfli Compression Algorithm is a compression library
Zopfli is a compression library and command-line tool that produces exceptionally small DEFLATE, zlib, and gzip streams by spending more CPU time to search for better encodings. It keeps strict compatibility with the ubiquitous DEFLATE format, so outputs can be decompressed by any standard tool or browser. The encoder performs exhaustive block splitting and greedy but thorough match searching to shave extra bytes off assets, which is ideal for web content and firmware where size matters more... -
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Learning to Learn in TensorFlow
Learning to Learn in TensorFlow
Learning to Learn, created by Google DeepMind, is an experimental framework that implements meta-learning—training neural networks to learn optimization strategies themselves rather than relying on manually designed algorithms like Adam or SGD. The repository provides code for training and evaluating learned optimizers that can generalize across different problem types, such as quadratic functions and image classification tasks (MNIST and CIFAR-10). Using TensorFlow, it defines a meta-optimizer model that learns by observing and adapting to the optimization trajectories of other models. The project allows users to compare performance between traditional optimizers and the learned optimizer (L2L) on various benchmarks, demonstrating how optimization strategies can be learned through experience. ... -
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OptimizePNG
Advance PNG optimizer
This program help you to optimize and compress PNG files and other format such as TIFF, BMP, GIF images to smaller size without losing any detail or quality.
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