Gluon CV Toolkit v0.1

Gluon CV Toolkit v0.1 Release Notes

GluonCV provides implementations of state-of-the-art (SOTA) deep learning algorithms in computer vision. It is designed for helping engineers, researchers, and students to quickly prototype products, validate new ideas, and learning computer vision.

Table of Contents

• New Features

  • Tutorials

    • Image Classification (CIFAR + ImageNet demo + divedeep)
    • Object Detection (SSD demo + train + divedeep)
    • Semantic Segmentation (FCN demo + train)

  • Model Zoo

    • ResNet on ImageNet and CIFAR-10
    • SSD on VOC
    • FCN on VOC
    • Dilated ResNet

  • Training Scripts

    • Image Classification:
      Train ResNet on ImageNet and CIFAR-10, including Mix-Up training
    • Object Detection:
      Train SSD on PASCAL VOC
    • Semantic Segmentation
      Train FCN on PASCAL VOC

  • Util functions

    • Image Visualization:
      • plot_image
      • get_color_pallete for segmentation
    • Bounding Box Visualization
      • plot_bbox
    • Training Helpers
      • PolyLRScheduler