Meitu Technology
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Meitu Technology

Curating Meitu's technical expertise, valuable case studies, and innovation insights. We deliver quality technical content to foster knowledge sharing between Meitu's tech team and outstanding developers worldwide.

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Recent Articles

Latest from Meitu Technology

73 recent articles
Meitu Technology
Meitu Technology
Oct 26, 2018 · Mobile Development

Building a Hybrid App Bridge: Architecture, Implementation, and Protocol Design

The article details a production‑ready Hybrid app bridge built with a custom bridge.js that enables bidirectional communication between Native code and H5 pages, outlines its four‑step nativeCall flow, Android compatibility tricks, protocol categories, event hub, proxy requests, and a suite of reusable functional APIs.

BridgeHybrid AppJavaScript
0 likes · 14 min read
Building a Hybrid App Bridge: Architecture, Implementation, and Protocol Design
Meitu Technology
Meitu Technology
Oct 17, 2018 · Mobile Development

Hybrid App Architecture and JSBridge Implementation Overview

The article explains hybrid app architecture, comparing WebView‑based, native‑UI, and mini‑program approaches, and details a custom‑scheme JSBridge that enables bidirectional communication between JavaScript and native code, its injection, callback handling, SDK packaging, and the trade‑offs of online versus embedded H5 integration.

Cross-platformHybrid AppJSBridge
0 likes · 15 min read
Hybrid App Architecture and JSBridge Implementation Overview
Meitu Technology
Meitu Technology
Oct 10, 2018 · Backend Development

How Meitu Scaled Twemproxy with Multi‑Process Architecture and Live Reload

This article details Meitu's engineering of a Redis/Memcached proxy platform, describing why twemproxy was chosen, the limitations of its upstream version, the multi‑process redesign with live configuration reload, added latency metrics, reuse‑port handling, Redis master‑slave support, performance testing, and remaining challenges.

MemcachedMonitoringProxy
0 likes · 12 min read
How Meitu Scaled Twemproxy with Multi‑Process Architecture and Live Reload
Meitu Technology
Meitu Technology
Aug 30, 2018 · Artificial Intelligence

Meitu Introduces a Multi‑Label Short‑Video Classification Dataset for the 2018 AI Challenger

In the 2018 AI Challenger, Meitu co‑organized a new “Real‑Time Short‑Video Classification” track and released the industry’s first multi‑label short‑video dataset of 200,000 mobile‑captured, vertically oriented videos spanning 63 categories and detailed tags for subjects, scenes, actions, and other dimensions, advancing video semantic understanding and AI research.

AI challengeDatasetMeitu
0 likes · 5 min read
Meitu Introduces a Multi‑Label Short‑Video Classification Dataset for the 2018 AI Challenger
Meitu Technology
Meitu Technology
Aug 30, 2018 · Artificial Intelligence

Survey of Deep Learning Based Object Detection Algorithms

This survey reviews deep‑learning‑based object detection, tracing evolution from R‑CNN to modern two‑stage (Faster R‑CNN) and one‑stage (YOLO, SSD) models, discusses enhancements for scale variance, small‑object and domain‑shift challenges—including logo detection pipelines, PANet, temporal action localization, knowledge‑distillation training, and extensive speed‑accuracy trade‑off analyses to guide practitioners.

AIalgorithm surveyobject detection
0 likes · 20 min read
Survey of Deep Learning Based Object Detection Algorithms
Meitu Technology
Meitu Technology
Aug 17, 2018 · Artificial Intelligence

Deep Learning-based Object Detection Algorithm Review (Part 2): Solutions and Network Improvements

The article reviews deep learning object detection solutions: small object detection via FPN and TDM, irregular shapes via deformable convolution, sample imbalance via focal loss and cascade methods, occlusion handling with Soft‑NMS and RRC, large‑batch training using MegDet, relationship modeling with Relation Networks, and network improvements such as DetNet, RefineDet, Pelee, and RFBNet.

FPNFocal Lossfeature pyramid
0 likes · 38 min read
Deep Learning-based Object Detection Algorithm Review (Part 2): Solutions and Network Improvements
Meitu Technology
Meitu Technology
Aug 17, 2018 · Big Data

Meitu Distributed Bitmap System (Naix): Architecture, Implementation, and Performance Evaluation

Meitu’s Naix distributed bitmap system accelerates massive user‑data analytics by using a three‑layer architecture, sharded RoaringBitmap storage, and PalDB, delivering over 600× faster queries than Hive, supporting fast generation plugins, fault‑tolerant replication, and millisecond‑level RPC query responses while reducing storage by 67%.

Big DataBitmapNaix
0 likes · 16 min read
Meitu Distributed Bitmap System (Naix): Architecture, Implementation, and Performance Evaluation
Meitu Technology
Meitu Technology
Aug 15, 2018 · Backend Development

Design and Performance Analysis of the Zap Logging Library in Go

The article examines Uber’s high‑throughput Go logging library zap, detailing its structured‑logging design, separation of concerns, copy‑on‑write filtering, extensive sync.Pool object reuse, reflection‑free type‑specific encoding, dynamic HTTP level control, and supplemental features such as a sugar API and log‑rotation, which together deliver superior performance over traditional libraries.

ConcurrencyGoStructured Logging
0 likes · 18 min read
Design and Performance Analysis of the Zap Logging Library in Go
Meitu Technology
Meitu Technology
Aug 14, 2018 · Artificial Intelligence

Survey of Deep Learning Based Object Detection Algorithms

This survey reviews two‑stage and one‑stage deep learning object detection methods—from early R‑CNN and OverFeat to modern Faster R‑CNN, Mask R‑CNN, SSD, and YOLO variants—detailing their architectural advances, training strategies, speed‑accuracy trade‑offs, and benchmark performance for researchers and industry practitioners.

R-CNNSurveyYOLO
0 likes · 30 min read
Survey of Deep Learning Based Object Detection Algorithms
Meitu Technology
Meitu Technology
Aug 14, 2018 · Big Data

Meitu Data Platform Architecture and Practices

Meitu’s data platform, serving dozens of apps with 500 million monthly active users and billions of daily events, combines the Arachnia log‑collection system, Kafka ingestion, multi‑layer storage (HDFS, MongoDB, HBase, Elasticsearch), offline Hive/MapReduce processing and real‑time Storm/Flink/Naix pipelines, supported by data‑workshop tools, staged evolution for scalability, and robust security and query‑validation mechanisms.

Big DataData PlatformETL
0 likes · 16 min read
Meitu Data Platform Architecture and Practices