stereo.image.tissue_cut.SingleStrandDNATissueCut.__init__#
- SingleStrandDNATissueCut.__init__(src_img_path=None, staining_type=None, model_path=None, dst_img_path=None, gpu=-1, num_threads=-1)[source]#
Tissue Segmentation based on regist.tif
- Parameters:
src_img_path (
Union
[str
,List
[str
],None
]) – the path of regist.tif, defaults to Nonestaining_type (
Optional
[str
]) – the staining type of regist.tif, available values include ‘ssDNA’, ‘dapi’, ‘HE’ and ‘mIF’, defaults to Nonemodel_path (
Optional
[str
]) – the path of model, it has to be matched with staining type, defaults to Nonedst_img_path (
Optional
[str
]) – the path of directory to save result mask.tif, defaults to save into the directory of regist.tif.gpu (
Union
[int
,str
]) – the gpu on which the model will work, -1 means working on cpu.num_threads (
int
) – the number of threads when model work on cpu, -1 means using all the cores.