The seqnet from conscienceli

How to merge the three data sets

Hi, how are the three data set structures merged, can you tell me?Thank you very much!!!

post_processing functions

Dear Li,

very interesting paper and implementation. Are you also planning to release the post-processing script implementation?

thanks

PostProcessing

Where is the code for postprocessing? thank you

when checking target: expected out1_cls_art1 to have shape (None, None, 4) but got array with shape (4, 128, 128)

Dear conscienceli:
when I try to train the model, I occur the above error, could you give some reason about that? thanks

Dear author:
The architecture is very powerful for both vessel segmentation and A/V classification, yet I have a question about the result metrics, could you explain why the segmentation use AUC/ACC metrics and how to get result as you have provided in parper: 'Joint Learning of Vessel Segmentation and Artery/VeinClassi cation with Post-processing'

Thanks a lot

ValueError: Graph disconnected: cannot obtain value for tensor

Hi,

I tried to perform prediction by giving the command (the test image was under ./data/test_images/):

python predict.py -i ./data/test_images/ -o ./output/

And encountered the following error message:

Traceback (most recent call last):
  File "predict.py", line 136, in <module>
    predict(batch_size=24, epochs=200, iteration=3, stride_size=3, crop_size=128, 
  File "predict.py", line 36, in predict
    model = define_model.get_unet(minimum_kernel=minimum_kernel, do=dropout, activation=activation, iteration=iteration)
  File "/.../SeqNet-master/utils/define_model.py", line 379, in get_unet
    model = Model(inputs=[inputs], outputs=outs)
  File "/.../opt/anaconda3/envs/opencv4/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py", line 167, in __init__
    super(Model, self).__init__(*args, **kwargs)
  File "/.../opt/anaconda3/envs/opencv4/lib/python3.8/site-packages/tensorflow/python/keras/engine/network.py", line 173, in __init__
    self._init_graph_network(*args, **kwargs)
  File "/.../opt/anaconda3/envs/opencv4/lib/python3.8/site-packages/tensorflow/python/training/tracking/base.py", line 456, in _method_wrapper
    result = method(self, *args, **kwargs)
  File "/.../opt/anaconda3/envs/opencv4/lib/python3.8/site-packages/tensorflow/python/keras/engine/network.py", line 306, in _init_graph_network
    nodes, nodes_by_depth, layers, _ = _map_graph_network(
  File "/.../opt/anaconda3/envs/opencv4/lib/python3.8/site-packages/tensorflow/python/keras/engine/network.py", line 1787, in _map_graph_network
    raise ValueError('Graph disconnected: '
ValueError: Graph disconnected: cannot obtain value for tensor Tensor("dropout_19_1/Identity:0", shape=(None, None, None, 32), dtype=float32) at layer "concatenate_4". The following previous layers were accessed without issue: ['input_1', 'conv2d', 're_lu', 'dropout', 'conv2d_1', 're_lu_1', 'dropout_1', 'max_pooling2d', 'conv2d_2', 're_lu_2', 'dropout_2', 'conv2d_3', 're_lu_3', 'dropout_3', 'max_pooling2d_1', 'conv2d_4', 're_lu_4', 'dropout_4', 'conv2d_5', 're_lu_5', 'dropout_5', 'max_pooling2d_2', 'conv2d_6', 're_lu_6', 'dropout_6', 'conv2d_7', 're_lu_7', 'dropout_7', 'max_pooling2d_3', 'conv2d_8', 're_lu_8', 'dropout_8', 'conv2d_9', 're_lu_9', 'dropout_9', 'conv2d_transpose', 'concatenate', 'conv2d_10', 're_lu_10', 'dropout_10', 'conv2d_11', 're_lu_11', 'dropout_11', 'conv2d_transpose_1', 'concatenate_1', 'conv2d_12', 're_lu_12', 'dropout_12', 'conv2d_13', 're_lu_13', 'dropout_13', 'conv2d_transpose_2', 'concatenate_2', 'conv2d_14', 're_lu_14', 'dropout_14', 'conv2d_15', 're_lu_15', 'dropout_15', 'conv2d_transpose_3', 'concatenate_3', 'conv2d_16', 're_lu_16', 'dropout_16', 'conv2d_17', 're_lu_17', 'dropout_17', 'conv2d_18', 're_lu_18', 'dropout_18', 'conv2d_19', 're_lu_19', 'dropout_19']

I had to modify certain lines in predict.py like config = tf.compat.v1.ConfigProto(gpu_options=tf.compat.v1.GPUOptions(allow_growth=True)) due to compatibility issues but I guess that is irrelevant to the error. Apart from that all the codes stayed the same.

Could you please look into this? Thank you in advance for your help.

How to visualize the crossing point?

Hello, I want to know where is the crossing point in the code? Then how should I visualize the
crossing point? Thank you very much!!

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How to merge the three data sets

pytorch version

post_processing functions

PostProcessing

when checking target: expected out1_cls_art1 to have shape (None, None, 4) but got array with shape (4, 128, 128)

你好，如果不想显示毛细血管的分割该怎么实现

result metrics

ValueError: Graph disconnected: cannot obtain value for tensor

How to visualize the crossing point?

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