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c0nn3r/RetinaNet

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0 stele·0 fork-uri·4 vizualizări

RetinaNet

Features

  • Computer Vision Models - RetinaNet implementation.
  • Model Implementations - RetinaNet implementation.

Istoric stele

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Alternative open-source pentru RetinaNet

Proiecte open-source similare, clasificate după numărul de funcționalități comune cu RetinaNet.
  • 1zb/deformable-convolution-pytorchAvatar 1zb

    1zb/deformable-convolution-pytorch

    410Vezi pe GitHub↗

    PyTorch implementation of Deformable Convolution

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  • 1adrianb/face-alignmentAvatar 1adrianb

    1adrianb/face-alignment

    7,518Vezi pe GitHub↗

    This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a facial landmark detector and reconstruction tool, utilizing deep learning to identify precise geometric points on human faces from image datasets. The library allows for the selection of specific detection backends to balance accuracy and processing speed. It supports the integration of precomputed bounding box files, which enables the system to bypass the initial detection phase and proceed directly to landmark extraction. The toolkit includes capabilities for batch image p

    Python
    Vezi pe GitHub↗7,518
  • aaron-xichen/pytorch-playgroundAvatar aaron-xichen

    aaron-xichen/pytorch-playground

    2,714Vezi pe GitHub↗

    Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

    Pythonpytorchpytorch-tutorialpytorch-tutorials
    Vezi pe GitHub↗2,714
  • amdegroot/ssd.pytorchAvatar amdegroot

    amdegroot/ssd.pytorch

    5,224Vezi pe GitHub↗

    This is a PyTorch object detection framework that implements the Single Shot MultiBox Detector for identifying and localizing multiple objects within images and video. The project provides a neural network architecture designed for single-shot object detection, which predicts bounding boxes and class labels in one pass. The implementation includes a real-time object detector capable of processing live video streams to track and label objects across sequential frames. It also features a complete computer vision training pipeline for preparing image datasets and training model weights. The fra

    Pythoncomputer-visiondeep-learningimage-recognition
    Vezi pe GitHub↗5,224
Vezi toate cele 30 alternative pentru RetinaNet→

Întrebări frecvente

Care sunt principalele funcționalități ale c0nn3r/retinanet?

Principalele funcționalități ale c0nn3r/retinanet sunt: Computer Vision Models, Model Implementations.

Care sunt câteva alternative open-source pentru c0nn3r/retinanet?

Alternativele open-source pentru c0nn3r/retinanet includ: amdegroot/ssd.pytorch — This is a PyTorch object detection framework that implements the Single Shot MultiBox Detector for identifying and… aosokin/biogans. aaron-xichen/pytorch-playground — Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet,… 1zb/deformable-convolution-pytorch — PyTorch implementation of Deformable Convolution. 1adrianb/face-alignment — This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a… bamos/densenet.pytorch — A PyTorch implementation of DenseNet.