[D2 Campus] Tech meetup (주제: Android) 모바일 머신러닝 [열일한 내 거북목을 부탁해!]
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1. 다양한 Vision 모델 데모 및 소개 (Hook) - MobileNet 기반의 Object Detection, CPM 기반의 Custom Pose Estimation, 거북목 여부를 진단해주는 Vision 모델 등 직접 모바일에 응용해보았던 모델들의 데모 시현 2. 안드로이드 환경에서의 Tensorflow Lite - 딥러닝 모델이 모바일용으로 경량화 되어, Tensorflow Lite을 통해 안드로이드 위에서 동작하기 까지의 과정 3. Custom 모델에의 적용 - 나만의 Custom 모델을 설계하여 모바일에 이식하는 방법과 실제 개발에서의 이슈들 4. MLKit - 모바일 개발자를 위한 머신러닝을 가장 빠르게 실험해볼 수 있는 MLKit 활용법
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How to write a program in any programming language
How to write a program in any programming language
ALGIT - Assembly Line for Green IT - Numbers, Data, Facts
Presentation from Ghazal Aakel and Eric Jochum at the GSD Community Stage Meetup on June 6th, 2024
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
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https://sumonreview.com/ai-fusion-buddy-review
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✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
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See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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Fundamentals of Programming and Language Processors
Fundamentals of Programming and Language Processors
What is Augmented Reality Image Tracking
Augmented Reality (AR) Image Tracking is a technology that enables AR applications to recognize and track images in the real world, overlaying digital content onto them. This enhances the user's interaction with their environment by providing additional information and interactive elements directly tied to physical images.
Graspan: A Big Data System for Big Code Analysis
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
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2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
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Microservice Teams - How the cloud changes the way we work
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Revolutionizing Visual Effects Mastering AI Face Swaps.pdf
The quest for the best AI face swap solution is marked by an amalgamation of technological prowess and artistic finesse, where cutting-edge algorithms seamlessly replace faces in images or videos with striking realism. Leveraging advanced deep learning techniques, the best AI face swap tools meticulously analyze facial features, lighting conditions, and expressions to execute flawless transformations, ensuring natural-looking results that blur the line between reality and illusion, captivating users with their ingenuity and sophistication.
Web:- https://undressbaby.com/
Using Query Store in Azure PostgreSQL to Understand Query Performance
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian Companies
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
Oracle 23c New Features For DBAs and Developers.pptx
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
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[D2 Campus] Tech meetup (주제: Android) 모바일 머신러닝 [열일한 내 거북목을 부탁해!]
- 9. .tflite
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- 12. import org.tensorflow.lite.Interpreter import org.tensorflow.lite.experimental.GpuDelegate // Initialize interpreter with GPU delegate protected val delegate = GpuDelegate() protected var options = (Interpreter.Options()).addDelegate(delegate) protected var interpreter = Interpreter(model, options) // Run inference while (true) { writeToInput(input) interpreter.run(input, output) readFromOutput(output) } // Clean up delegate.close() ✓ ✓ ✓ ✓
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- 31. CoroutineScope(Dispatchers.Main).launch { var data = "" CoroutineScope(Dispatchers.Default).async { // Background Thread에서 모델 추론 실행 }.await() // 모델 추론 결과 UI 업데이트 } .tflite .tflite
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