The Challenge in (https://idrid.grand-challenge.org/)
the the data can be download here
The Mask RCNN's application in IDRiD(only for challenge 1)
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Original:
--traiing
---IDRiD_01.jpg ---IDRiD_02.jpg ...
--testing ---IDRiD_01.jpg
---IDRiD_02.jpg ...
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Groundtruths:
--training
---Haemorrhages IDRiD_01.jpg IDRiD_02.jpg ... ---HardExudates ---Microaneurysms ---OpticDisc ---SoftExudates --testing ---Haemorrhages IDRiD_01.jpg IDRiD_02.jpg ... ---HardExudates ---Microaneurysms ---OpticDisc ---SoftExudates
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Step 1 : Create Dataset
First,create directory data
mkdir data
And create data
python dataset.py
The data will store in data,they are too big,so I do not show that.
- Step 2: Train the Model
python main.py
the checkpoint will be stored in directory checkpoint,you can download the pretrained model in here
- Step 3: Demo Show the Mask and model evaluation