train_function error while running train.py
Pranjal-bisht opened this issue · comments
Hi @ManishSahu53 Sir,
I am trying to setup the project, and followed all the necessary steps while setting up mentioned, integrated tensorflow GPU.
but when I am trying to run
python train.py --pretrained model.h5 --weight False
I am getting the following error.
Can you please help me resolve this?
when I am trying to run these 2 commands , they are generating empty folders in the path_output
- python generateMultiRes.py
If tiling is already done, then skip this step.
2. python generateDataset.py
As this listResolution is empty , so the for loop inside the main for loop is not performing any operation.
I tried printing the current resolution of every image and found that the getRes function is giving the resolution of every image to be 1.0 , thats why the listResolution which was supposed to take some range but it remained empty as listResolution = range(1,1)
I am not able to understand what is wrong, either the data I have downloaded is of poor quality or there is some other issue maybe ?
The data I am testing on is the Massachusetts building dataset on kaggle
Can you suggest possible solution for this?
@Pranjal-bisht Do you want to Train the model or Test it?
If only Testing then you can use the test.py directly.
python test.py [-h] [--data] [--skipGridding] [--pretrained] [--weight] [--output]
I can do testing, But for that, I would require the requirements.txt file and the python version that you used for this project.
I used python 3.6, Tensorflow 2.
I will try to add requirements.txt later
U can use this, but I am facing the same issue wherein the output folder is generating no file
