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introlab avatar

introlab/find-object

0
View on GitHub↗
477 stars·191 forks·C++·BSD-3-Clause·19 viewsintrolab.github.io/find-object↗

Find Object

Find-Object project

Features

  • Computer Vision - Qt interface for feature detection and description.
  • Computer Vision and Image Processing - Qt interface for feature detection and description.

Star history

Star history chart for introlab/find-objectStar history chart for introlab/find-object

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Find Object

These projects share indexed features with Find Object. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • alicevision/alicevisionalicevision avatar

    alicevision/AliceVision

    3,445View on GitHub↗

    3D Computer Vision Framework

    C++
    View on GitHub↗3,445
  • alicevision/meshroomalicevision avatar

    alicevision/Meshroom

    12,562View on GitHub↗

    Meshroom is a node-based photogrammetry software designed to transform collections of two-dimensional images into three-dimensional models and scene geometry. It provides a visual interface for constructing and managing modular data pipelines, allowing users to automate complex computer vision tasks such as feature extraction, depth map estimation, and mesh generation. The software distinguishes itself through a distributed computational framework that dispatches resource-intensive tasks across local hardware or remote render farms. By utilizing a directed acyclic graph execution model, it en

    QML3d-reconstructionalicevisioncamera-tracking
    View on GitHub↗12,562
  • aleju/imgaugaleju avatar

    aleju/imgaug

    14,742View on GitHub↗

    imgaug is a Python library for machine learning data augmentation and computer vision dataset expansion. It provides tools to increase the volume and variety of training sets by applying random geometric, color, and noise transformations to images. The library ensures spatial consistency by synchronizing transformations across images and their associated annotations, such as bounding boxes, keypoints, and segmentation maps. It uses a compositional pipeline pattern to chain multiple augmentations into sequences and employs deterministic seed management to reproduce specific data samples. The

    Python
    View on GitHub↗14,742
  • balavenkatesh3322/cv-pretrained-modelbalavenkatesh3322 avatar

    balavenkatesh3322/CV-pretrained-model

    1,360View on GitHub↗

    A collection of computer vision pre-trained models.

    awesome-listcomputer-visiondata-science
    View on GitHub↗1,360
Compare all 30 related projects→

Frequently asked questions

What does introlab/find-object do?

Find-Object project

What are the main features of introlab/find-object?

The main features of introlab/find-object are: Computer Vision, Computer Vision and Image Processing.

Which projects share features with introlab/find-object?

Projects with overlapping indexed features include: alicevision/meshroom — Meshroom is a node-based photogrammetry software designed to transform collections of two-dimensional images into… dbolya/yolact — Yolact is a computer vision framework and real-time instance segmentation model. It utilizes a fully convolutional… aleju/imgaug — imgaug is a Python library for machine learning data augmentation and computer vision dataset expansion. It provides… alicevision/alicevision — 3D Computer Vision Framework. balavenkatesh3322/cv-pretrained-model — A collection of computer vision pre-trained models. ermig1979/simd — C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE…