Search Results for "coco"
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Showing 53 open source projects for "coco"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Continuation Core and Toolboxes (COCO)
Toolboxes for parameter continuation and bifurcation analysis.
Development platform and toolboxes for parameter continuation, e.g., bifurcation analysis of dynamical systems and constrained design optimization. This material is based upon work partially supported by the National Science Foundation under Grant No. 1016467 and the Danish research council (FTP) under the project number 0602-00753B. Any opinions, findings, and conclusions or recommendations expressed on this site are those of the authors and do not necessarily reflect the views of the...">
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labelme Image Polygonal Annotation
Image polygonal annotation with Python
Labelme is a graphical image annotation tool. It is written in Python and uses Qt for its graphical interface. Image annotation for polygon, rectangle, circle, line and point. Image flag annotation for classification and cleaning. Video annotation. (video annotation). GUI customization (predefined labels / flags, auto-saving, label validation, etc). Exporting VOC-format dataset for semantic/instance segmentation. (semantic segmentation, instance segmentation). Exporting COCO-format dataset... -
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SAHI
A lightweight vision library for performing large object detection
A lightweight vision library for performing large-scale object detection & instance segmentation. Object detection and instance segmentation are by far the most important fields of applications in Computer Vision. However, detection of small objects and inference on large images are still major issues in practical usage. Here comes the SAHI to help developers overcome these real-world problems with many vision utilities. Detection of small objects and objects far away in the scene is a major... -
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MMDetection
An open source object detection toolbox based on PyTorch
MMDetection is an open source object detection toolbox that's part of the OpenMMLab project developed by Multimedia Laboratory, CUHK. It stems from the codebase developed by the MMDet team, who won the COCO Detection Challenge in 2018. Since that win this toolbox has continuously been developed and improved. MMDetection detects various objects within a given image with high efficiency. Its training speed is comparable or even faster than those of other codebases like Detectron2... -
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Watermark Anything
Official implementation of Watermark Anything with Localized Messages
Watermark Anything (WAM) is an advanced deep learning framework for embedding and detecting localized watermarks in digital images. Developed by Facebook Research, it provides a robust, flexible system that allows users to insert one or multiple watermarks within selected image regions while maintaining visual quality and recoverability. Unlike traditional watermarking methods that rely on uniform embedding, WAM supports spatially localized watermarks, enabling targeted protection of... -
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BlenderProc
Blender pipeline for photorealistic training image generation
A procedural Blender pipeline for photorealistic training image generation. BlenderProc has to be run inside the blender python environment, as only there we can access the blender API. Therefore, instead of running your script with the usual python interpreter, the command line interface of BlenderProc has to be used. In general, one run of your script first loads or constructs a 3D scene, then sets some camera poses inside this scene and renders different types of images (RGB, distance,... -
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SSD in PyTorch 1.0
High quality, fast, modular reference implementation of SSD in PyTorch
This repository implements SSD (Single Shot MultiBox Detector). The implementation is heavily influenced by the projects ssd.pytorch, pytorch-ssd and maskrcnn-benchmark. This repository aims to be the code base for research based on SSD. Multi-GPU training and inference: We use DistributedDataParallel, you can train or test with arbitrary GPU(s), the training schema will change accordingly. Add your own modules without pain. We abstract backbone, Detector, BoxHead, BoxPredictor, etc. You can... -
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Detectron
FAIR's research platform for object detection research
Detectron is an object detection and instance segmentation research framework that popularized many modern detection models in a single, reproducible codebase. Built on Caffe2 with custom CUDA/C++ operators, it provided reference implementations for models like Faster R-CNN, Mask R-CNN, RetinaNet, and Feature Pyramid Networks. The framework emphasized a clean configuration system, strong baselines, and a “model zoo” so researchers could compare results under consistent settings. It includes... -
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Toolshed project has moved: https://github.com/nitros9project/toolshed ToolShed is a package of utilities to perform cross-development from Windows, Linux or Mac OS X computers to the Tandy Color Computer and Dragon microcomputers. Tools are included to read/write both OS-9 RBF disk images and CoCo Disk BASIC disk images, generate cassette WAV files and more.
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NanoDet-Plus
Lightweight anchor-free object detection model
... feature pyramid called Ghost-PAN to enhance multi-layer feature fusion. These improvements boost previous NanoDet's detection accuracy by 7 mAP on COCO dataset. NanoDet provide multi-backend C++ demo including ncnn, OpenVINO and MNN. There is also an Android demo based on ncnn library. Supports various backends including ncnn, MNN and OpenVINO. Also provide Android demo based on ncnn inference framework. -
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USB_to_RS232 Connector (usbModem)
Internet Connectivity on Retro Computer Hardware!
Connect to any BBS or SSH host from any 8, 16 or 32 bit - Atari, Commodore, TRS-80 CoCo or TI-99 computer using a USB to RS232 PL2303 cable Internet Connectivity on Retro Computer Hardware! usbModem Commands and Options help -> Display help nn [bbs_#] -> Connect BBS by listing number src [pattern*] -> Search for BBS listing number save [bbs_#] [user] [password ] -> Save BBS user/password list [bbs_#] -> Display BBS by listing number atz... -
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ImageAI
A python library built to empower developers
..., research groups and businesses. ImageAI provides API to recognize 1000 different objects in a picture using pre-trained models that were trained on the ImageNet-1000 dataset. The model implementations provided are SqueezeNet, ResNet, InceptionV3 and DenseNet. ImageAI provides API to detect, locate and identify 80 most common objects in everyday life in a picture using pre-trained models that were trained on the COCO Dataset. -
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BTP is a Cross Plataform Basic To Pascal Translator Project that uses FPC (Free Pascal Compiler) and Lazarus for GUI support. Current State is acceptable :-). You will find full COCO/R source code.
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Download an updated version for newer Java. https://github.com/qbancoffee/drivewire4 DriveWire 4 is a cross platform I/O server intended to provide disk, serial, networking, printing, midi and other services to an attached Tandy Color Computer or compatible device.
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YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5
... for the Mosiac and MixUp augmentations. Except special cases, we always recommend using our COCO pre-trained weights for initializing the model. As YOLOX is an anchor-free detector with only several hyper-parameters, most of the time good results can be obtained with no changes to the models or training settings. -
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Mask2Former
Code release for "Masked-attention Mask Transformer
... support. This leads to accurate masks with sharp boundaries and strong small-object performance while remaining efficient on high-resolution inputs. The project provides extensive configurations and pretrained models across popular benchmarks like COCO, ADE20K, and Cityscapes. Built on top of Detectron2, it includes training scripts, inference tools, and visualization utilities that make experimentation straightforward. -
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YOLOv3
Object detection architectures and models pretrained on the COCO data
Fast, precise and easy to train, YOLOv5 has a long and successful history of real time object detection. Treat YOLOv5 as a university where you'll feed your model information for it to learn from and grow into one integrated tool. You can get started with less than 6 lines of code. with YOLOv5 and its Pytorch implementation. Have a go using our API by uploading your own image and watch as YOLOv5 identifies objects using our pretrained models. Start training your model without being an... -
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Colormon for Coco I or II
6809 machine code input and output on a Tandy Color Computer I or II
Colourmon is a 6809 machine code program for the color computer's memory through the use of hexadecimal representation of binary. It is made up of several subroutines, some of which give this program certain useful facilities. It is designed to run without normally disturbing the BASIC functions. The sort of facilities this program gives you are: 1.Memory Examine. 2.Memory Change. 3.Execution Transfer. -
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MaskFormer
Per-Pixel Classification is Not All You Need for Semantic Segmentation
... including ADE20K, Cityscapes, COCO-Stuff, and Mapillary Vistas, and provides pretrained baselines for each. The model achieves strong performance and scalability while simplifying training and evaluation workflows. Its successor, Mask2Former, extends the same meta-architecture to achieve state-of-the-art results across all major segmentation benchmarks. MaskFormer’s modular design, dataset integration, and compatibility with existing Detectron2 models make it an essential research tool. -
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minicoro
Single header stackful cross-platform coroutine library in pure C
Minicoro is a single-file library for using asymmetric coroutines in C. The API is inspired by Lua coroutines but with C's use in mind. The project is being developed mainly to be a coroutine backend for the Nelua programming language. The library assembly implementation is inspired by Lua Coco by Mike Pall. -
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The NitrOS-9 Project
OS-9/6809 compatible operating system for Tandy CoCo and Dragon
The NitrOS-9 Project provides an OS-9/6809 compatible operating system for the Tandy/TRS-80 Color Computer and Dragon home computer. -
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COCO Annotator
Web-based image segmentation tool for object detection & localization
COCO Annotator is a web-based image annotation tool designed for versatility and efficiently label images to create training data for image localization and object detection. It provides many distinct features including the ability to label an image segment (or part of a segment), track object instances, label objects with disconnected visible parts, and efficiently store and export annotations in the well-known COCO format. The annotation process is delivered through an intuitive... -
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Coco III - Kenwood TS-440s Txfr
Interfacing a Tandy Color Computer 3 to a Kenwood TS440s amateur radio
BASIC and 6809 machine language programs to send and receive data at 4800 baud for the Kenwood TS-440s HF transceiver fitted with the Kenwood IC-10 integrated circuit kit through the Kenwood IF-232c TTL to RS-232c interface. The MC6809 machine language is used to bit banger the serial receive and transmit data from and to the Kenwood TS-440s transceiver. The machine language also checks for key board entry on the Coco III, so that receive data and the keys can be polled simultaneously... -
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YOLO ROS
YOLO ROS: Real-Time Object Detection for ROS
This is a ROS package developed for object detection in camera images. You only look once (YOLO) is a state-of-the-art, real-time object detection system. In the following ROS package, you are able to use YOLO (V3) on GPU and CPU. The pre-trained model of the convolutional neural network is able to detect pre-trained classes including the data set from VOC and COCO, or you can also create a network with your own detection objects. The YOLO packages have been tested under ROS Noetic and Ubuntu...