Pytorch deep learning face frontalization model

Library for controlling DALI lighting systems

The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.

A nvImageCodec library of GPU- and CPU- accelerated codecs featuring a unified interface

SORDI dataset has per frame annotation file in json format. Following tools create a COCO style annotation out of it. Thus the SORDI data can be easily fed into COCO style training pipelines.

Digital Addressable Lighting Interface (DALI) for microcontrollers

A timer-based DALI (Digital Addressable Lighting Interface) library for Arduino

Library for DALI module.

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.

🍭 Dali in Python

Speed up training

Source code for the Segmentation Tutorial

简单易懂、且通用的 加速pytorch 的 training 方法

control your DALI lighting systems with ioBroker

PyTorch DataLoader with DALI and CSV

Interface with DALI compatible lighting devices using ESPHome project

Libraries to be used with the LogicMachine Gateway