Little tools to download and then weed through images, delete and classify them into groups for building deep learning image datasets (based on crawler and tkinter)
File "/miniconda/bin/fcd", line 10, in <module>
sys.exit(cli())
File "/miniconda/lib/python3.6/site-packages/click/core.py", line 764, in __call__
return self.main(*args, **kwargs)
File "/miniconda/lib/python3.6/site-packages/click/core.py", line 717, in main
rv = self.invoke(ctx)
File "/miniconda/lib/python3.6/site-packages/click/core.py", line 956, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/miniconda/lib/python3.6/site-packages/click/core.py", line 555, in invoke
return callback(*args, **kwargs)
File "/miniconda/lib/python3.6/site-packages/fastclass/fc_download.py", line 163, in cli
main(infile, size, crawler, keep, maxnum, outpath)
File "/miniconda/lib/python3.6/site-packages/fastclass/fc_download.py", line 126, in main
source_urls = resize(files, outpath=out_resized, size=SIZE, urls=source_urls)
File "/miniconda/lib/python3.6/site-packages/fastclass/imageprocessing.py", line 45, in resize
bg = bg.convert('RGB')
File "/miniconda/lib/python3.6/site-packages/PIL/Image.py", line 912, in convert
self.load()
File "/miniconda/lib/python3.6/site-packages/PIL/ImageFile.py", line 239, in load
len(b))
OSError: image file is truncated (24 bytes not processed)
and the whole program stopped of course.
I suggest catching this exception and skipping the file.
I saw this error:
and the whole program stopped of course. I suggest catching this exception and skipping the file.