HED-CoreML

Image detection framework

A framework for applying Holistically-Nested Edge Detection to image processing using CoreML and Swift.

Holistically-Nested Edge Detection (HED) using CoreML and Swift

GitHub

108 stars
7 watching
22 forks
Language: Swift
last commit: over 7 years ago
Linked from 1 awesome list

caffecoremlhedswift

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
s9xie/hed An edge detection algorithm that uses deep learning to predict images from hierarchical representations 1,800
feghal/imagedetect A Swift-based library for detecting and cropping objects from images using the iOS 11 Vision API 306
facebookresearch/cutler An unsupervised object detection and segmentation framework that can learn from image data alone, without requiring human annotations. 943
alexgkendall/caffe-segnet An open-source implementation of the SegNet deep learning architecture for image segmentation 1,082
szq0214/dsod A deep learning-based object detection system from scratch 706
angknpng/sacnet A framework for detecting salient objects in RGB-T images using an alignment-free approach and a unified benchmark. 9
twostraws/swiftgd A Swift wrapper around the libgd graphics library to provide basic image manipulation functionality on server-side Swift applications. 457
yulingtianxia/core-ml-sample A demo project demonstrating the integration of Core ML and Vision Framework with Swift 4 for image classification using an Inception V3 network. 219
lzx1413/caffe_ssd An implementation of a unified framework for object detection using a single network. 109
zertovitch/gid A standalone Ada package for decoding various image formats from different data streams. 25
skyhehe123/sa-ssd A deep learning model that uses 3D point cloud data to improve the precision of single-stage object detection in autonomous vehicles. 493
craftgbd/caffe-gbd An optimized deep learning framework for action recognition tasks 26
xxxairinxxx/vhud A simple cross-platform HUD (Heads-Up Display) solution written in Swift for iOS applications. 139
preddy5/segnet A deep neural network architecture for segmenting images into distinct regions of interest 205
liuquande/feddg-elcfs A framework for federated learning on medical image segmentation using continuous frequency space interpolation. 240