ObjectclassifierAn iOS swift app that detects objects using machine learning (CoreML, Vision)
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Flowersvisiondemo🌸 iOS11 demo application for flower classification.
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IowncodeA curated collection of iOS, ML, AR resources sprinkled with some UI additions
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Cocoaai🤖 The Cocoa Artificial Intelligence Lab
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Facesvisiondemo👀 iOS11 demo application for age and gender classification of facial images.
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SentimentVisionDemo🌅 iOS11 demo application for visual sentiment prediction.
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Inceptionvisiondemo🎥 iOS11 demo application for dominant objects detection.
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CustomVisionMicrosoftToCoreMLDemoAppThis 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.
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CarLens-iOSCarLens - Recognize and Collect Cars
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Vision CoreML-AppThis 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.
Stars: ✭ 15 (+36.36%)
Nodejs VisionNode.js client for Google Cloud Vision: Derive insight from images.
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CudasiftA CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)
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Neural MotifsCode for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)
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R2cRecognition to Cognition Networks (code for the model in "From Recognition to Cognition: Visual Commonsense Reasoning", CVPR 2019)
Stars: ✭ 391 (+3454.55%)
PaddlehubAwesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy Inference & Serving deployment)
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Neural EngineEverything we actually know about the Apple Neural Engine (ANE)
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GripProgram for rapidly developing computer vision applications
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LuminaA camera designed in Swift for easily integrating CoreML models - as well as image streaming, QR/Barcode detection, and many other features
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Pinto model zooA 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]
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Facecropper✂️ Crop faces, inside of your image, with iOS 11 Vision api.
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Waifu2x IosiOS Core ML implementation of waifu2x
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Tsdf FusionFuse multiple depth frames into a TSDF voxel volume.
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AravisA vision library for genicam based cameras
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Keras OpenfaceKeras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version
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Home PlatformHoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.
Stars: ✭ 370 (+3263.64%)
CoremlhelpersTypes and functions that make it a little easier to work with Core ML in Swift.
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Multi sensor fusionMulti-Sensor Fusion (GNSS, IMU, Camera) 多源多传感器融合定位 GPS/INS组合导航 PPP/INS紧组合
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Visual Pushing GraspingTrain robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
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EvilOptical Character Recognition in Swift for iOS&macOS. 银行卡、身份证、门牌号光学识别
Stars: ✭ 648 (+5790.91%)
Har Keras CoremlHuman Activity Recognition (HAR) with Keras and CoreML
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Tsdf Fusion PythonPython code to fuse multiple RGB-D images into a TSDF voxel volume.
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Imagedetect✂️ Detect and crop faces, barcodes and texts in image with iOS 11 Vision api.
Stars: ✭ 286 (+2500%)
Apc Vision ToolboxMIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.
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Dest🐼 One Millisecond Deformable Shape Tracking Library (DEST)
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RewritingRewriting a Deep Generative Model, ECCV 2020 (oral). Interactive tool to directly edit the rules of a GAN to synthesize scenes with objects added, removed, or altered. Change StyleGANv2 to make extravagant eyebrows, or horses wearing hats.
Stars: ✭ 454 (+4027.27%)
DirtDIRT: a fast differentiable renderer for TensorFlow
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VisionfacedetectionAn example of use a Vision framework for face landmarks detection in iOS 11
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Facerecognition In ArkitDetects faces using the Vision-API and runs the extracted face through a CoreML-model to identiy the specific persons.
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DeepdriveDeepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
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CaerHigh-performance Vision library in Python. Scale your research, not boilerplate.
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Waifu2x MacWaifu2x-ios port to macOS, still in Core ML and Metal
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keras-knnCode for the blog post Nearest Neighbors with Keras and CoreML
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MyvisionComputer vision based ML training data generation tool 🚀
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SimpleInceptionV3-ObjCA simple image classification test using Core ML and Inception V3 model in Objective-C
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LogGaborA python implementation for a LogGabor filtering and pyramid representation
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