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Showing content from https://github.com/Oneflow-Inc/models below:

Oneflow-Inc/models: Models and examples built with OneFlow

OneFlow-Models

Models and examples implement with OneFlow(version >= 0.5.0).

Introduction

OneFlow-Models is an open source repo which contains official implementation of different models built on OneFlow. In each model, we provide at least two scripts train.sh and infer.sh for a quick start. For each model, we provide a detailed README to introduce the usage of this model.

Features

various models and pretrained weight
easy use for beginners

Quick Start

Please check our the following demos for a quick start

image classification quick start lenet demo
speaker recognition speaker identification demo

Model List Image Classification

Video Classification

Object Detection

CSRNet

Semantic Segmentation

Generative Adversarial Networks

Neural Style Transform

FastNeuralStyle

Person Re-identification

Natural Language Processing

Audio

Deep Reinforcement Learning

FlappyBird

Quantization Aware Training

Quantization

Knowledge Distillation

KnowledgeDistillation

Installation and Environment setup

Install Oneflow

https://github.com/Oneflow-Inc/oneflow#install-with-pip-package

Build custom ops from source

In the root directory, run:

mkdir build
cd build
cmake ..
make -j$(nrpoc)

Example of using ops:

from ops import RoIAlign
pooler = RoIAlign(output_size=(14, 14), spatial_scale=2.0, sampling_ratio=2)

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