This is an example of the X-ray hand landmarks detection with heatmap regression
The following dependencies are needed:
- numpy >= 1.11.1
- SimpleITK >=1.0.1
- tensorflow-gpu ==1.8.0
- pandas >=0.20.1
1、Preprocess
- first,load image and landmark coords from csv,then resize to net input size,last generate landmarks heatmaps:run the data2dprepare.py
- image and landmarks heatmaps
- save image and mask into csv file: run the utils.py,like file traindetection.csv
2、LandMarks Detection
- the VNet model
- the train loss
- result
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