用Python刻一個深度學習圖片重點裁切系統 (Implementation of a deep learning-based saliency detection system by Python)

何明洋

何明洋

icon-location R1
icon-language Chinese talk w. English slides
icon-datetime Day 2 • 13:00-13:45
icon-level Intermediate
icon-category Machine Learning

    Abstract

    在現代社群媒體興起下,許多網站、app都能允許使用者上傳圖片與文字發布貼文,然而圖片/照片大小不一很容易使頁面排版混亂,要求使用者每次上傳時都手動裁切也非常耗時,而通常圖片都隱含著重點區域,本演講將講述如何以python實作、應用已開源的深度學習模型來做出圖片自動裁切系統。本演講將會簡單引入深度學習,接著分享三個開源的相關模型(圖片重點、臉、文字)細節、單一使用的缺點、如何疊加三個模型來達到最好的效果,而過程中也會說明實作方法。

    Description

    Video

    何明洋

    A passionate data scientist and full stack developer who excels at solving practical problems, especially in 2D/3D CV, audio, and medical signal, by designing ML/DL algorithms and building full-stack web applications to provide service. In addition, I am also a graphic designer and clinical pharmacist familiar with psychiatry.