radosuav / pydms Goto Github PK

Can you please add sample data input for testing purposes / examples to know how the input should be?

Thanks

Hello!

My friend asked me to help troubleshoot the program, she is having some AttributeError exceptions. I spent some time trying to figure it out. Looks like the problem is here

As far as I understand, lowResMaskFilename is supposed to be optional. If it's specified, some additional magic (sorry, have no idea what the script actually does :) ) happens, and you control it here. The problem is, self.useQuality_LR is always True, because when you check

if len(self.lowResQualityFiles) > 0:
            self.useQuality_LR = True

you get single empty string as element of self.lowResQualityFiles list. So the length of list is always > 0, because empty string is a legit array element. So when the condition above resolves to True, program tries to open the file which is not there. Hence the AttributeError.

For now I asked my friend to either specify lowResMaskFilename or change the condition to

if len(self.lowResQualityFiles) > 1:
            self.useQuality_LR = True

just to unblock here. But latter is a dirty hack, I understand that :)

Could you please look into this?

Hello, after getting the lowRes and HighRes rasters ready alongside the Mask. I ran the code but I got the following error: AttributeError: 'NoneType' object has no attribute 'GetProjection' . It seems to be a gdal error. I would like to know where it might be the error, thank you.

Hi, I am very interested to use this package. I give it a try but I received some errors. I attached my images, error message, and code in the link and I would appreciate if you can check it

https://we.tl/t-ToIK4cuKtT

Another question, If I understand correctly, the high-resolution image can be any type of short wave band, Right? Or should be certain bands with certain order?
In my example, I have one image of 3 bands (red, green, blue). It's a sentinel-2 image which I am just testing the package and hopefully, if it works, I will use all available bands of the source image.

hello there, thank you for putting together this package! it is most useful.

I was wondering, would setting a random state for the code be beneficial so as to ensure reproducible results should one need to run data over multiple iterations, say over the quality mask layer to include different values for good pixels? would it be as simple as specifying np.random.seed(some_integer) at the beginning of the pyDMS.py file?