Jen-Vu's repositories
VirtualTryOn
Deep Convolutional GANs for Image Generation Using Textual Information
CustomTableView
TableView Shopping cell
DeepFashion2
DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf
keras_Realtime_Multi-Person_Pose_Estimation
Keras version of Realtime Multi-Person Pose Estimation project
AR-Info
Using ObjectDetection and AR to improve customer's shopping and post-shopping experience.
IA_for_classified_clothes
Apllication for training IA for classified clothes
Cool-Fashion-Papers
👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)
Story
Test
345_Final_Application
An Grocery shopping application Written in Swift
Artable
An eCommerce application with Firebase and Stripe.
google-images-download
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
closetr
A closet manager that allows users to monitor their clothing usage patterns, by acting as a digital copy of their closet.
WatchCloud
Ecommerce App using Swift, Firebase(Auth, Database, Storage, Functions, Crashlytics), Stripe
BackgroundRemovalWithCoreMLSample
This is an image background removal with Core ML and Core Image sample in Swift.
ClosetStyle
An app that allows a user to take/upload images of previously worn outfits and from this determines their dressing style and recommends potential outfits from the uploaded images.
buy-it-sell-it
Swift Ecommerce Template
PropertyFinder
A Property Finder iOS App redesign, deployed to production in June. Property Finder is UAE's leading real state and rental marketplace, with over 16 million page views on a monthly basis and an unrivalled market share reaching 65% in Dubai, corresponding to 89% of the organic traffic in the UAE.
Fashion-Corner
An iOS app for a fashion store to display and sell items ⚠️
stripe-checkout
Stripe Checkout Starter kit in Swift for iOS
Fashion-Class-Classification-Using-CNN
The global fashion industry is valued at three trillion dollars and accounts for 2 percent of the world's. GDP the fashion industry is undergoing a dramatic transformation by adopting new computer vision and Machine learning and deep learning techniques. In this case study we'll look at a hypothetical situation. We assume that if a retailer hired you to build a virtual stylist assistant that looks at customer Instagram and Facebook images and classifies what fashion category they are wearing either bags dresses and pants. The virtual assistant can help the retailer detect and forecast fashion trends and launch targeted marketing campaigns. In this story we're going to use the fashionmnist data. It's a data set that contains images of bags shoes and dresses. And we're asking the deep network to classify the images into 10 classes. So we wanted to build kind of an app per se or a model. They can look at images and can tell us exactly what category in this image. Is it like a short. Is it a bag. Is it like a hat. And so on. That's the whole objective. The data again they are divided into 28 by 28 greyscale images and the target class is actually No. 1 out of 10 which is kind of a target label which can be categorized as you can see into either like maybe a shoe maybe like like pants. Basically these are the target classes. We have the t shirts trousers pullovers ankle boots sneakers and so on so forth.
BCSwap
Boston College's Facebook page BCSwap goes mobile! Through the development of a user interface that allows BC Students to sell/buy items from one another within an integrated cloud using Google's Firebase and Google Places API, a virtual localized E-bay is reborn in the BC Community.
CIHP_PGN
Code repository for Part Grouping Network, ECCV 2018