244 Open source projects that are alternatives of or similar to Flowersvisiondemo

An iOS swift app that detects objects using machine learning (CoreML, Vision)

A curated collection of iOS, ML, AR resources sprinkled with some UI additions

👀 iOS11 demo application for age and gender classification of facial images.

[Deprecated] 🇨🇳中国二代身份证光学识别

🤖 The Cocoa Artificial Intelligence Lab

A troll app to check if an object seen by your camera is a lion. Uses iOS CoreML, Vision APIs

This app recognises 3 hand signs - fist, high five and victory hand [ rock, paper, scissors basically :) ] with live feed camera. It uses a HandSigns.mlmodel which has been trained using Custom Vision from Microsoft.

CarLens - Recognize and Collect Cars

🎥 iOS11 demo application for dominant objects detection.

🌅 iOS11 demo application for visual sentiment prediction.

This app predicts the age of a person from the picture input using camera or photos gallery. The app uses Core ML framework of iOS for the predictions. The Vision library of CoreML is used here. The trained model fed to the system is AgeNet.

👨🏻‍💻 Examples of new iOS 11 APIs

A camera object recognition demo using the CoreML & AVCam framework. Required XCode 9 & iOS 11.

A demo of creating your own CoreML model

Human Activity Recognition (HAR) with Keras and CoreML

Real-time Number Recognition using Apple's CoreML 2.0 and MNIST -

Real-time Mobile Car Pose Estimation with CoreML

Types and functions that make it a little easier to work with Core ML in Swift.

Detects faces using the Vision-API and runs the extracted face through a CoreML-model to identiy the specific persons.

The challenge projects for Inferencing machine learning models on iOS

🎰 A curated list of machine learning resources, preferably CoreML

Optical Character Recognition in Swift for iOS&macOS. 银行卡、身份证、门牌号光学识别

Java and Kotlin Code samples used on cloud.google.com

Visual programming language written in Swift that assembles to executable Swift code. WWDC '18 scholarship submission.

iOS11 Vision framework example. Detection of face landmarks

Real-Time Semantic Segmentation in Mobile device

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Source code for my blog post series "On-device training with Core ML"

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Deep learning installed Shape Detector using Keras and CoreML 📱

NSLinguisticTagger provides a uniform interface to a variety of natural language processing functionality with support for many different languages and scripts. One can use this class to segment natural language text into paragraphs , sentences, or words and tag information about those segments such as parts of speech, lexical class, lemma!

Build an OCR for iOS apps

R interface to fast.ai

A camera designed in Swift for easily integrating CoreML models - as well as image streaming, QR/Barcode detection, and many other features

CoreML Vision Text Data & Animal Detector iOS App

Detect facial landmarks with TensorFlow and CoreML on iPhone.

Photo Assessment using Core ML and Metal.

Largest list of models for Core ML (for iOS 11+)

Samples and Tools for Windows ML.

Android based Vocal Vision for Visually Impaired. Object Detection, Voice Assistance, Optical Character Reader, Read Aloud, Face Recognition, Landmark Recognition, Image Labelling etc.

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

This native plugin enables Unity to take advantage of specific features of Core-ML and Vision Framework on the iOS platform.

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

Semantic segmentation on iPhone using ESPNetv2

Hand-Drawn Emoji Classifier (WWDC18 Scholarship Application)

A CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)

Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version

Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy Inference & Serving deployment)

Simple lib for iOS to find and compare faces.

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

Face classifier for "Momoiro Clozer Z" member using Tensorflow/Keras

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

🏷 iOS11 demo application for predicting gender from first names.

Collection of models for Core ML

✂️ Crop faces, inside of your image, with iOS 11 Vision api.

ROS Error-State Kalman Filter based on PX4/ecl. Performs GPS/Magnetometer/Vision Pose/Optical Flow/RangeFinder fusion with IMU

A simple demo for Core ML and Style Transfer

Python code to fuse multiple RGB-D images into a TSDF voxel volume.