firebirdit Goto Github PK
Name: Firebird IT Consulting and Services
Type: Organization
Location: Malaysia
Name: Firebird IT Consulting and Services
Type: Organization
Location: Malaysia
A pytorch-version implementation codes of paper: "BMN: Boundary-Matching Network for Temporal Action Proposal Generation", which is accepted in ICCV 2019.
Assessing car damage with convolution neural networks for a personal auto claims expedition use case
Mask R-CNN Model to detect the area of damage on a car. The rationale for such a model is that it can be used by insurance companies for faster processing of claims if users can upload pics and they can assess damage from them. This model can also be used by lenders if they are underwriting a car loan especially for a used car.
Official implementation of Character Region Awareness for Text Detection (CRAFT)
Code for 2nd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019
Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks
AlphaPose + ST-GCN + SORT.
An improved contrast enhancement method for image. :camera:
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
Detects pupil of the eye from the images/video and create a circle around it.
BFSI sectors deal with lots of unstructured scanned documents which are archived in document management systems for further use.For example in Insurance sector, when a policy goes for underwriting, underwriters attached several raw notes with the policy, Insureds also attach various kind of scanned documents like identity card, bank statement, letters etc. In later parts of the policy life cycle if claims are made on a policy, releted scanned documents also archeived.Now it becomes a tedious job to identify a particular document from this vast repository. The goal of this case study is to develop a deep learning based solution which can automatically classify scanned documents.
Ipynb POC for Convolutional Preprocessor used to enhance Tesseract's Accuracy
A synthetic data generator for text recognition
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
A more complete pipeline to read text in natural scene images (in the wild). It uses multiple Deep Learning methods and sets the emphasis mostly on the preprocessing of text images to improve the performance of the OCR.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.