Pytorch deep learning face frontalization model

Library for controlling DALI lighting systems

SageMaker training implementation for computer vision to offload JPEG decoding and augmentations on GPUs using NVIDIA DALI — allowing you to compare and reduce training time by addressing CPU bottlenecks caused by increasing data pre-processing load. Performance bottlenecks identified with SageMaker Debugger.

Pytorch ImageNet training codes with various tricks, lr schedulers, distributed training, mixed precision training, DALI dataloader etc.

An efficient implementation for ImageNet classification

Convert DALI lighting system codes to human readable messages.

Source code for the Segmentation Tutorial

Speed up training

简单易懂、且通用的 加速pytorch 的 training 方法

PyTorch DataLoader with DALI and CSV

This is a python implementation of the Zencontrol TPI Advanced protocol for DALI lighting.

Lunatone DALI-2 IoT Gateway python client

DALION API PYTHON