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View Code? Open in Web Editor NEW[MICCAI'21] [Tensorflow] Retinal Vessel Segmentation using a Novel Multi-scale Generative Adversarial Network
License: BSD 3-Clause "New" or "Revised" License
[MICCAI'21] [Tensorflow] Retinal Vessel Segmentation using a Novel Multi-scale Generative Adversarial Network
License: BSD 3-Clause "New" or "Revised" License
Hi
when i run infer.py, an error occurred. I had installed libtiff,
Traceback (most recent call last):
File "infer.py", line 7, in
from libtiff import TIFF
File "/home/miniconda3/envs/gwc_test/lib/python3.6/site-packages/libtiff/init.py", line 23, in
from .libtiff_ctypes import libtiff, TIFF, TIFF3D # noqa: F401
File "/home/miniconda3/envs/gwc_test/lib/python3.6/site-packages/libtiff/libtiff_ctypes.py", line 128, in
value = eval(value)
File "", line 1
\
looking forward to your reply
best wishes
Dear author:
URLs of pre-trained weights are invalid
Hi, I got this error running train.py using DRIVE dataset in Colab:
Traceback (most recent call last):
File "/content/drive/MyDrive/RVGAN-master/train.py", line 215, in
train(d_model1, d_model2,g_model_coarse, g_model_fine, rvgan_model, dataset, n_epochs=args.epochs, n_batch=args.batch_size, n_patch=[128,64],savedir=args.savedir)
File "/content/drive/MyDrive/RVGAN-master/train.py", line 100, in train
g_global_loss,_ = g_global_model.train_on_batch([X_realA_half,X_realB_half], [X_realC_half])
ValueError: The two structures don't have the same sequence length. Input structure has length 1, while shallow structure has length 2.
Would you help me to fix it?
I have read your paper and run your code on my computer. I found some issues.
Hi,
I downloaded your code and run it, but I can't get your results. Do I need to pay attention to certain details during the training process? And is your model easy to train?
Looking forward to your reply.
Do we have the code for printing out the metrics like auc, F1 score and so on?
I am trying to train the DRIVE data with RVGAN-tf-2.6. An issue I'm finding is the predictions in local_plot are always blank even after 53 epochs of training which took over 20 hours:
The global_plot though is visible
global_plot_000053.png
I am trying to reproduce eval.py IOU values but the predictions are always blank and looks like it is because predictions from g_local_model are always blank though not from g_global_model
Hi,
I noticed that in your paper the inference time for each image is 0.025 second, is that for patch image or the whole image?
Hi!Thank you for your work!
I'm a little confused that you said,we should looped over all 100 saved weights to find the best performing coarse and fine generator pairs and train again.Which data do we use to determine the best model?
The paper descire the model and training skill very well in detail, but it seems to forget to describe the generation of the final output image. How do you use the results from Gf and Gc to predict an image?
Could you provide the data set of npz format or provide preprocessed code?
May I ask what kind of value range will your losses eventually stabilize in, including d1, d2, ect?
The value g_local loss has remained steady at about 3 when I try to train the Drive Dataset from 18 to 200 epochs.
I wonder what's the reason for that
Hi, great stuff here, really interesting approach!
Are there pre-trained models weights available somewhere? I have an application in mind that I would love to use them for, would be citing your paper.
When I run train.py, I found the loss is 'nan' at behind of 2-epochs. Do you have this problem when you train. So I want to know why is it and how to solve this problem.
Hello, the pretrained model of CHASE can't be loaded. Error message is
ValueError: Shapes (7, 7, 4, 128) and (64, 4, 7, 7) are incompatible.
In addition, could you provide the trained model?
I have tried many times, but I can't get the f1 score near which descaribed in the paper.
Until now, the best F1 score trained on drive is 0.78, Se is 0.74. The results on STARE is better(f1=0.8030 Se=0.8191). The training process is time-consuming(I use a card of 2080ti).
Hello! can you send me your generated dataset npz file? I can't generate is using your code
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