Convert images to vectorized line drawings for plotters.
- drawing
- convert-images
- artwork
- plotter
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Convert images to vectorized line drawings for plotters.
3D medical imaging reconstruction software
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
:scissors: High performance, multi-threaded image scraper
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
🚧 Under construction — no-training RefMod reference adapters for MiniMax H3 (compress reference images/videos into tiny latents, no training needed).
Raspberry PI-TIMOLO ( PI-TImelapse, MOtion, LOwLight ) uses RPI picamera and OpenCV for Remote Headless Security Monitoring using Motion Tracking, Rclone Auto Sync files with remote storage services. Auto Twilight Transitions and Low Light Camera Settings. Panoramic images using PanTiltHat and More. This project is featured on GitHub Awesome software.
A repo to automatically generate and keep updated a series of Docker images through GitHub Actions.
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
WeVisDoc is an end-to-end document parser for page images. Fine-tuned from Qwen3-VL-2B-Instruct and Qwen3-VL-4B-Instruct, it turns a page into structured Markdown, with LaTeX formulas and HTML tables.
Reconquer the canvas: beautiful Tikz figures without clunky Tikz code
💃 Free CC0 mannequin pose reference library for AI image tools (Nano Banana, ChatGPT, ComfyUI, Midjourney) — 250+ poses × 5 angles in line art, names in ja/zh/en/ko
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
Extract given archive to images
The Cold Disk Quick Response (CDQR) tool is a fast and easy to use forensic artifact parsing tool that works on disk images, mounted drives and extracted artifacts from Windows, Linux, MacOS, and Android devices
HexaShell: a thin harness in which a coding agent drives a robot from RGB images and writes its own tools; frozen tools for the 42 RoboDojo tasks
One-link downloader for the Mac (videos, documents, images, articles, web pages), with optional automatic YouTube monitoring that translates and subtitles new videos.
Stream images from a connected camera over MQTT, view using Streamlit, record to file and sqlite
Automated 3D cell detection in very large images
EVTXtract recovers and reconstructs fragments of EVTX log files from raw binary data, including unallocated space and memory images.
Converts medical images to more displayable formats, e.g. NIfTI to jpg.
AI-based pathology predicts origins for cancers of unknown primary - Nature