ZF_UNET_224_Pretrained_Model

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How to run the model for 6 input channels?

2

Is it possible to run the model for 6 input channels? Three inputs in that are RGB values and the other three are metrics I want to pass on into...

ShreyaPandita01

Traceback (most recent call last): File "train.py", line 11, in import segmentation_models as sm File "/home/melih/anaconda3/envs/ai/lib/python3.6/site-packages/segmentation_models/__init__.py", line 98, in set_framework(_framework) File "/home/melih/anaconda3/envs/ai/lib/python3.6/site-packages/segmentation_models/__init__.py", line 68, in set_framework import efficientnet.keras # init...

melih-unsal

ZF architecture

1

Hi! Could you tell me what changes in UNET to become ZF unet? Thank you very much!

AmericaBG

dice and jaccard metrics

3

Thanks for the repo. I am wondering why do you use a smoothing factor of 1.0 in both [dice](https://github.com/ZFTurbo/ZF_UNET_224_Pretrained_Model/blob/7c9075331dac81c95686bcb40dd5702137dce574/zf_unet_224_model.py#L40) and [jaccard](https://github.com/ZFTurbo/ZF_UNET_224_Pretrained_Model/blob/7c9075331dac81c95686bcb40dd5702137dce574/zf_unet_224_model.py#L47) coefficients? Where does this value comes from? And what...

tinalegre

model.fit step

7

Hi! I would like to know how I should perform the model.fit instruction. model.fit(trainSet, mask_trainSet, batch_size=20, nb_epoch=1, verbose=1,validation_split=0.2, shuffle=True, callbacks=[model_checkpoint])¿? What I write in callback?? And how should I use...

AmericaBG

How to generate img and mask correctly

6

I run your code and then find that the img batch has a shape(16,224,224,3),but mask batch has a shape(16,1,224,224). I don't understand it.Can you explain it to me?I use my...

wong-way

How to save image, mask and prediction to jpeg

2

Hi I am newbie in DL. I have some questions(Keras + Tensorflow): For example I generate image and mask(train_infinite_generator.py) `image, mask = gen_random_image()` 1. How I can save image and...

vithmel

Working with arbitary image size

3

To simplify things let's consider VGG16 based FCN-32s (not U-net): Code: ``` def get_fcn_vgg16_32s(inputs, n_classes, h, w): x = BatchNormalization()(inputs) # Block 1 x = Conv2D(64, (3, 3), activation='relu', padding='same',...

mrgloom

Adapting ZF_UNET_224 for a slightly different task

3

Hi everyone. Just getting started with Conv Nets and trying out an image segmentation problem. I got my hands on 24 images and their masks for the dstl satellite image...

vonarchimboldi

Want to get feature values for any arbitrary layer after training.....

2

Hi... I have a a bundle of images (without labels) and I want to fit this model as pre-trained model on that dataset. Later on I want to extract feature...

zBabar