Carlos Nácher Collado

Results 15 issues of Carlos Nácher Collado

Hi, In [DataLoader](https://github.com/MIC-DKFZ/batchgenerators/blob/master/batchgenerators/dataloading/data_loader.py) class, there are an argument `seed_for_shuffle` which controls reproducibilty that when using DataLoader with `infinite=False` and `shuffle=True` (between two different trains, the data feeding the network will...

Hi Fabian, First thanks all your team for the great job developing this package! I have a doubt. In the [brats2017_dataloader_3D.py](https://github.com/MIC-DKFZ/batchgenerators/blob/01f225d843992eec5467c109875accd6ea955155/batchgenerators/examples/brats2017/brats2017_dataloader_3D.py#L133) example you implement in the `generate_train_batch` method, inside you...

Hi, I am new to your library and would quickly like to know if I could convert a pre-trained torch model to keras. I mean, from what I see in...

### Describe the bug I was computing some inferences with my trained models and I susprised when I saw that **the min and max values stored during training didn't match...

Fell free to reopen if issue still exist with compiler 16.0. Thanks! _Originally posted by @hjonnala in https://github.com/google-coral/edgetpu/issues/147#issuecomment-1345920446_ I am getting the same error: ``` Edge TPU Compiler version 16.0.384591198...

comp:compiler

Hi, help please! :( I try to create a simple model like ``` import segmentation_models_3D as sm import os sm.set_framework('tf.keras') os.environ["KERAS_BACKEND"] = "tensorflow" model1 = sm.Unet(backbone_name="resnet50", input_shape=(32, 96, 96, 1),...

Hi ZFTurbo, It is very important to realize that backbones expects inputs between 0, 255. So I think that is a good idea to specify it in the `README.md` file,...

Hi ZFTurbo, Do you have plains of implement HDF95 distance for evaluate models? Or, do you know some repo that has it implemented? I need it but I don't have...

Hi, can I change the activations "relu" to "prelu" for example? Thanks

Hi, thanks for the code. I have one dubt. I don't understand the **bolded** part of the following sentence. kernel_size: Tuple, list, or numpy array specifying the kernel size along...