Computer Vision
Showing 36 of 711 projects
A UE4 plugin that captures RGB and depth data from the Unreal world and publishes it to ROS.
A macOS app that automatically extracts and annotates facial landmarks from videos for GAN training datasets.
A Wagtail extension that automatically generates image descriptions and tags using computer vision services.
A curated list of 257+ research papers on video generation, representation learning, and related topics like reinforcement learning.
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A pre-release Caffe branch for fully convolutional networks (FCNs), now deprecated with features merged into Caffe master.
A curated collection of resources for applying machine learning to biomedical and healthcare imaging applications.
A TensorFlow implementation of Attend, Infer, Repeat (AIR), a generative model for fast scene understanding by reconstructing objects sequentially.
An R package for image processing and analysis with a focus on microscopy and biological imaging.
A university course covering practical 3D reconstruction from images using OpenCV and Python, with project-based learning.
A university course syllabus and materials for a project-based class on practical 3D reconstruction using computer vision.
A machine learning framework for automated cell segmentation in bioimages using parametric spline curves.
A fast and convenient image processing library for the Crystal language.
A web-based 3D face capture tool using Babylon.js and Mediapipe to generate face meshes from webcam input.
An implementation of unsupervised image-to-image translation using Generative Adversarial Networks (GANs).
A fungal image classification project using ResNet to identify mushroom species from citizen science and expert sources.
A PyTorch-based tool for training custom DeepDream models using GoogleNet and custom image datasets.
A demand-driven, horizontally threaded image processing library optimized for speed and low memory usage.
OpenCV binding library for Common Lisp, compatible with OpenCV 2.4 and 3.x.
A TensorFlow-based convolutional neural network for recognizing four-digit CAPTCHA images.
Go SDK for interacting with IBM Watson AI services, providing authentication, API clients, and utilities.
Examples and tutorials for using ZED cameras with ROS 2, including visualization, multi-camera setups, and robot integration.
An open-source solution for the Airbus Ship Detection Challenge, providing a benchmark and base for ship detection in satellite imagery.
A ROS wrapper for the NCNN neural inference framework, enabling real-time neural network inference on robotic systems.
Code for the Kaggle Dogs vs. Cats image classification competition using deep learning.
Detects humans in images and estimates their poses by identifying body parts and connecting them with pose lines.
A curated collection of machine-learned models for autonomous driving tasks like perception, prediction, and planning.
ROS2 nodes for performing computer vision inference using TensorFlow models, enabling object detection and image classification in robotics.
A Common Lisp library for reading, writing, and manipulating images in multiple formats with various effects and transformations.
Kotlin implementations of TensorFlow Lite example Android apps for on-device machine learning.
A curated list of academic papers, datasets, and metrics for 3D neurite segmentation in electron microscopy connectomics.
A curated dataset of 1,044,394 Windows executable samples with frequency-domain image representations for malware detection research.
A TensorFlow implementation of convolutional highway networks for deep learning experiments.
Interactive Swift Playgrounds for iPad demonstrating Microsoft Cognitive Services APIs and CoreML through fun coding scenarios.
A linear-time component-labeling algorithm implementation using contour tracing technique for image processing.
A multi-view fusion network for aerial 3D human pose and shape estimation using autonomous UAVs with on-board RGB cameras.
A deprecated Go client library for the Clarifai v1 API, enabling image tagging and feedback functionality.
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