Apache MXNet GluonCV Scripts

Guide & Examples to create deeplearning gstreamer plugins and use them in your pipeline

This repository allows you to training classification models and classification inference API with GluonCV-MXNET and cifar10.

Using Apache MXNet GluonCV YOLO with Apache NiFi and Cloudera Data Science Workbench

A Gluon Implement of EfficientNet

Trying GluonCV examples

mxnet GluonCV quantization binary ternary models

Computer vision Python experiment

A collection of Python programs to count pedestrians in traffic camera images using a Faster R-CNN model.

Demos

Collection of utilities to complement or extend the functionality of MXNet Gluon

labeling tool that allows easy plugin of detection networks that can assist in the labeling process

MXNet-Gluon model to Caffe (support SSD in gluoncv)

This is a repository for an image classification inference API using the Gluoncv framework. The inference REST API works on CPU/GPU. It's supported on Windows and Linux Operating systems. Models trained using our Gluoncv Classification training repository can be deployed in this API. Several models can be loaded and used at the same time.

Using Apache MXNet Gluon 0.3 for YOLO3 Pretrained model in the zoo!

Tiny-yolov3 based on MXNet and Gluon-CV

This repository allows you to get started with training a State-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset and you can start the training right away. You can even test your model with our built-in Inference REST API. Training classification models with GluonCV has never been so easy.

This is a repository for a Semantic Segmentation inference API using the Gluoncv CV toolkit

FCOS: Fully Convolutional One-Stage Object Detection.

Object Detection for Video with MXNet and GluonCV using YOLOv3