sr4rs
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Hi Remi!
I couldn't install docker because of some force majeure. I added tricks.py and otbtf.py in the python folder in otbtf to the code folder, and after a series of adjustments, I successfully ran train.py. (As shown below, the operation should be successful, right?)
I0721 21:39:35.738773 29916 train.py:281] training Epoch #0 I0721 21:39:40.855148 29916 train.py:291] training: one epoch done. Total FS stall: 0.00s I0721 21:39:44.284425 29916 train.py:281] training Epoch #1 I0721 21:39:44.381165 29916 train.py:291] training: one epoch done. Total FS stall: 0.00s I0721 21:39:47.372760 29916 train.py:281] training Epoch #2 I0721 21:39:47.468502 29916 train.py:291] training: one epoch done. Total FS stall: 0.00s I0721 21:39:50.577277 29916 train.py:281] training Epoch #3 I0721 21:39:50.672024 29916 train.py:291] training: one epoch done. Total FS stall: 0.00s I0721 21:39:53.689270 29916 train.py:281] training Epoch #4 I0721 21:39:53.787004 29916 train.py:291] training: one epoch done. Total FS stall: 0.00s
But I cannot use sr.py to generate fake HR images: import otbApplication ModuleNotFoundError: No module named'otbApplication' I want to know if there are any other ways to generate fake HR images? Or is there a problem with which of my steps is incorrect? I really want to save these generated HR images!
Hi,
You could manually run the TensorflowModelServe
application, from the terminal.
Take a look at the parameters values that the python API use in sr.py
, and manually type the (long!) command line.
With OTB python API, it is easier because all you have to provide is the model and the image ;)