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This project forked from rebeccahisey/imageclassification
Extension for classifying webcam video images using tensorflow in 3D Slicer
CMake 2.56%
Python 97.02%
Batchfile 0.42%
imageclassification's Introduction
- Download this repository
- Download latest version of Slicer (Nightly)
- Add extension to 3D Slicer
- edit -> Application Settings -> modules
- add paths to RetrainCNN, CNN_Image_Classifier and Collect_Training_Images
- Add Slicer openCV, SlicerIGT and Sequences extension from Slicer extensions manager
- Install opencv, tensorflow and tensorflow_hub using pip
- >>> import pip
- >>> from pip._internal import main as pipmain
- >>> pipmain(['install','tensorflow'])
- >>> pipmain(['install','tensorflow_hub'])
- >>> pipmain(['install','opencv-python'])
- May need to run Slicer as administrator in Windows
- Collect training photos
- Open Collect_Training_Photos module in 3D Slicer
- Start Plus Config file
- Select existing model or create a new model
- Select image class or create new classes
- Keeping the object that you are trying to recognize in the image frame click Start Image Collection
- For best results introduce as much variety in orientation and background conditions as possible
- Click Stop Image Collection
- Retrain the network
- Open RetrainCNN module in 3D Slicer
- Select the Model that you would like to retrain
- Select all training parameters in the Advanced Options tab
- Click Retrain
- Run Classifier
- Open CNN_Image_Classifier module in 3D Slicer
- Start Plus Config file
- Select model
- Click Start
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