Lint

Author: C-Achard

napari_cellseg3d/model_workers.py

@@ -688,7 +688,6 @@ def inference(self):
         if self.model_dict["name"] == "SegResNet":
             model = self.model_dict["class"].get_net()(
                 input_image_size=[
-
                     dims,
                     dims,
                     dims,

napari_cellseg3d/plugin_model_inference.py

@@ -219,7 +219,6 @@ def __init__(self, viewer: "napari.viewer.Viewer"):
             "Image size on which the SegResNet has been trained (default : 128)"
         )
 
-
         thresh_desc = (
             "Thresholding : all values in the image below the chosen probability"
             " threshold will be set to 0, and all others to 1."
@@ -636,7 +635,6 @@ def start(self, on_layer=False):
 
             self.worker.set_download_log(self.log)
 
-
             yield_connect_show_res = lambda data: self.on_yield(
                 data,
                 widget=self,