keras-segnet

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ValueError: Error when checking input: expected conv2d_1_input to have shape (256, 256, 1) but got array with shape (1, 256, 256)

3

Thank you for sharing the code. I have been trying to apply your code a data set. However, running the code gives the following error message: exception_prefix='input') File "D:\Program Files\Python\Python35\lib\site-packages\keras\engine\training_utils.py",...

xyh-qz

How can I train it on my own data set ?

1

Hi, I have generated the training data with corresponding ground truths and the required ".csv" file. How can I train it from scratch using my data ? Can you please...

vismayaps

How can I download the model weights ?

2

sanjeetGupta

This repository is over its data quota. Purchase more data packs to restore access.

1

I tried pulling the .hdf5 file using git lfs, but I am getting this error. ` batch response: This repository is over its data quota. Purchase more data packs to...

george-adaimi

tensorflow backend and index-based-upsampling

3

Hi, thanks for sharing the code. I have two questions: 1 tensorflow backend. I use tensorflow back to train the model, But the predicted output is poor. 2 how to...

opnumten

Dear all, I wish to apply Segnet Model for image segmentation task. These are medical images. I want to initialize the weights for Segnet model using Camvid dataset. What changes...

pranitapradhan91

I am trying to convert the build.py to python 3 and keras version 2.1.4. I came a long way but I have some trouble with (hopefully) the last step. Below...

Timmarh

ValueError: total size of new array must be unchanged when loading model

3

Hi, I get the following error when loading the json model. I have tried in both Keras vs 1 and 2 and I run with Theano as backend. File "",...

ChuanWang90

Python package versions?

1

Hi @eclique, Could you tell us what versions of python packages you are using? Many thanks Ian

IanKirwan

Seem in the last layers you reshape all to [2,65536] (assuming this is row x col) and 256*256 is 65536, so it's just image with 2 'channels' (assuming background/foreground) reshaped...

mrgloom