sacmehta/ESPNetv2-COREML
Semantic segmentation on iPhone using ESPNetv2
This project helps iOS developers integrate real-time semantic segmentation into their iPhone applications. It takes a live video feed or still RGB image from an iPhone camera and outputs a segmented image, highlighting different objects or regions within the scene. This is useful for developers building applications that need to understand and categorize visual information in real-time on mobile devices.
No commits in the last 6 months.
Use this if you are an iOS developer building an application that needs to perform fast, on-device image segmentation.
Not ideal if you are a user looking for a ready-to-use end-user application for image segmentation; this is a developer tool.
Stars
73
Forks
12
Language
Swift
License
—
Category
Last pushed
Aug 10, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/sacmehta/ESPNetv2-COREML"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
NovatecConsulting/FaceRecognition-in-ARKit
Detects faces using the Vision-API and runs the extracted face through a CoreML-model to identiy...
KleinYuan/Caffe2-iOS
Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.
cocoa-ai/FacesVisionDemo
👀 iOS11 demo application for age and gender classification of facial images.
netguru/CarLens-iOS
CarLens - Recognize and Collect Cars
ttieli/DeepSeek-OCR-macOS
🚀 One-click OCR tool for macOS with intelligent chip adaptation. 一键式 OCR 图片识别工具，智能适配 Mac 芯片...