Base class for segment five objects of Endoscopy Disease Detection and
Segmentation database (EDD2020). Input is an image (cv:Mat).
Output is a struct of detection results, named MedicalSegmentationResult.
Sample code :
Mat img = cv::imread("sample_medicalsegmentation.jpg");
auto medicalsegmentation =
vitis::ai::MedicalSegmentation::create("FPN_Res18_Medical_segmentation",true);
auto results = medicalsegmentation->run(img);
// results is std::vector<cv::Mat>(5) for 5 classes.
// please check test samples for detail usage.Quick Function Reference
The following table lists all the functions defined in the vitis::ai::MedicalSegmentation class:
| Type | Name | Arguments |
|---|---|---|
std::unique_ptr< MedicalSegmentation > |
create |
|
vitis::ai::MedicalSegmentationResult
|
run |
|
std::vector< vitis::ai::MedicalSegmentationResult > |
run |
|
| int | getInputWidth |
|
| int | getInputHeight |
|
| size_t | get_input_batch |
|