A Demo application using Vision
and CoreML
frameworks to detect the most
likely sentiment of the given image.
This demo is based on the "Fine-tuning CNNs for Visual Sentiment Prediction" neural network classifier, which was converted from original Caffe model to CoreML model using coremltools python package.
- Xcode 9
- iOS 11
git clone https://github.com/cocoa-ml/SentimentVisionDemo.git
cd SentimentVisionDemo
pod install
open SentimentVision.xcworkspace/
Download the CoreMl model and drag the file into your project.
Build the project and run it on a simulator or a device with iOS 11.
cd Convert
./download.sh
python convert.py
Vadym Markov, [email protected]
From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction