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DeepTrial / Retina-VesselNet

A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2
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code dependence #24

Closed lauranceair closed 5 years ago

lauranceair commented 5 years ago

hi i use your environment but have some problems

Traceback (most recent call last): File "main_train.py", line 54, in main_train() File "main_train.py", line 35, in main_train dataloader.prepare_dataset() File "/home/air/Desktop/BioHiLab/Retina-VesselNet/experiments/data_loaders/standard_loader.py", line 72, in prepare_dataset imgs_train, groundTruth=self._access_dataset(self.train_img_path,self.train_groundtruth_path,self.train_type) File "/home/air/Desktop/BioHiLab/Retina-VesselNet/experiments/data_loaders/standard_loader.py", line 63, in _access_dataset assert (np.max(groundTruth) == 255) File "/home/air/anaconda3/lib/python3.6/site-packages/numpy/core/fromnumeric.py", line 2320, in amax out=out, **kwargs) File "/home/air/anaconda3/lib/python3.6/site-packages/numpy/core/_methods.py", line 26, in _amax return umr_maximum(a, axis, None, out, keepdims) ValueError: zero-size array to reduction operation maximum which has no identity

xuchunyuan commented 5 years ago

download the 'VesselNet' and put it under the 'experiments' the route like this: Retina-VesselNet-master\experiments\VesselNet

lauranceair commented 5 years ago

download the 'VesselNet' and put it under the 'experiments' the route like this: Retina-VesselNet-master\experiments\VesselNet

十分感谢，已经调通了，这个代码非常好用