131 skills found · Page 1 of 5
Faster3ck / ConverseenConverseen is a batch image converter and resizer
drmingler / Docling ApiEasily deployable and scalable backend server that efficiently converts various document formats (pdf, docx, pptx, html, images, etc) into Markdown. With support for both CPU and GPU processing, it is Ideal for large-scale workflows, it offers text/table extraction, OCR, and batch processing with sync/async endpoints.
xRyul / Obsidian Image Converter⚡️ Convert, compress, resize, annotate, markup, draw, crop, rotate, flip, align images directly in Obsidian. Drag-resize, rename with variables, batch process. WEBP, JPG, PNG, HEIC, TIF.
Amorano / JovimetrixAnimation via tick. Wave-based parameter modulation, Math operations with Unary and Binary support, universal Value conversion for all major types (int, string, list, dict, Image, Mask), shape masking, image channel ops, batch processing, dynamic bus routing. Queue & Load from URLs.
vorojar / Folio OCROpen-source batch OCR workbench — a free, local alternative to ABBYY FineReader. Powered by Ollama + GLM-OCR + PP-DocLayoutV3, ~0.5s/page on RTX 4090. Three-panel editor, layout-aware, PDF/image batch processing, Markdown/Word export. 批量OCR工作台，纯本地运行，免费平替ABBYY，适合书籍文档数字化。
bytefer / Macos Vision OcrA powerful command-line OCR tool built with Apple's Vision framework, supporting single image and batch processing with detailed positional information output.
1038lab / ComfyUI JoyCaptionJoy Caption is a ComfyUI node using the LLaVA model to generate stylized image captions, supporting batch processing and GGUF models.
hzbd / ImagekitImageKit is a powerful and fast command-line tool for batch processing images.
USTCPCS / CVPR2018 AttentionContext Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume On the Robustness of Semantic Segmentation Models to Adversarial Attacks SPLATNet: Sparse Lattice Networks for Point Cloud Processing Left-Right Comparative Recurrent Model for Stereo Matching Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior Unsupervised CCA Discovering Point Lights with Intensity Distance Fields CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation Learning a Discriminative Feature Network for Semantic Segmentation Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Unsupervised Deep Generative Adversarial Hashing Network Monocular Relative Depth Perception with Web Stereo Data Supervision Single Image Reflection Separation with Perceptual Losses Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds Decorrelated Batch Normalization Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints PU-Net: Point Cloud Upsampling Network Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer Tell Me Where To Look: Guided Attention Inference Network Residual Dense Network for Image Super-Resolution Reflection Removal for Large-Scale 3D Point Clouds PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Fully Convolutional Adaptation Networks for Semantic Segmentation CRRN: Multi-Scale Guided Concurrent Reflection Removal Network DenseASPP: Densely Connected Networks for Semantic Segmentation SGAN: An Alternative Training of Generative Adversarial Networks Multi-Agent Diverse Generative Adversarial Networks Robust Depth Estimation from Auto Bracketed Images AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation DeepMVS: Learning Multi-View Stereopsis GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation Single-Image Depth Estimation Based on Fourier Domain Analysis Single View Stereo Matching Pyramid Stereo Matching Network A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Image Correction via Deep Reciprocating HDR Transformation Occlusion Aware Unsupervised Learning of Optical Flow PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Surface Networks Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation TextureGAN: Controlling Deep Image Synthesis with Texture Patches Aperture Supervision for Monocular Depth Estimation Two-Stream Convolutional Networks for Dynamic Texture Synthesis Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction Left/Right Asymmetric Layer Skippable Networks Learning to See in the Dark
ByungKwanLee / Full Segment AnythingThis is Pytorch Implementation Code for adding new features in code of Segment-Anything. Here, the features support batch-input on the full-grid prompt (automatic mask generation) with post-processing: removing duplicated or small regions and holes, under flexible input image size
AlbusGuo / Albus ImagineA comprehensive image management plugin for managing, inserting, resizing, viewing, and batch processing images.
karimz1 / Imgcompressimgcompress is a simple and privacy-first image processing tool that runs entirely in Docker. Compress, convert, resize, batch-process images and remove backgrounds using local AI with zero cloud dependencies.
wagakano / LABOKitLABOKit is a modular desktop tool for offline image processing Built with Python (PySide6), it aims to provide a fast, simple, and user-friendly batch-processing workflow with a retro "Steins;Gate" divergence meter aesthetic.
MackinationsAi / Upgraded Depth Anything V2Upgraded repo includes more capabilities, converted the cmd .py scripts to function more intuitively, added 147 different depth output colour map methods, introduced batch image as well as video processing, everything is automatically saved to an outputs folder (w/ file-naming conventions) & I've converted the .pth models to .safetensors.
goohai / Goohaitools ComfyuiOver 50 practical add-ons, including batch processing for quickly loading folder images, automatic saving at specified DPI, multi-functional mask analysis, automatic correction of human faces, and automatic layout of photos, etc.
Pythonation / Mistral Arabic OCR TestA powerful Python toolkit using Mistral AI's OCR to accurately convert Arabic PDFs and images to text and editable documents. Includes scripts for single-file and batch processing.
Sidneys1 / BatchImageProcessorA Mass Image Processing tool for Windows
edwardx999 / ScoreProcessorCommand-line multi-threaded batch image processor specializing in score images
AFM-SPM / TopoStatsAn AFM image analysis program to batch process data and obtain statistics from images
jasimmk / WatermarkerA CLI tool for watermarking, converting and resizing images in bulk. Created for mass watermarking photos of KochiPython meetup group. Whether you are a photographer, blogger, professional this tool might be highly helpful for you to automate batch processing of images
