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I ran generate_synthia_label.py with both default settings (nproc=16) and nproc=1, but got output files varing greatly in size. Specifically, the file synthia_label_info.p you provided is around 1322KB, while my results are 458KB for nproc=16 and 1157KB for nproc=1. I am wondering what to blame for such a big difference.
Besides, would you be so kind to tell me about the functionality of such a step, as well as the performance boost of it?
The text was updated successfully, but these errors were encountered:
Well, I made a mistake in reading images (pngs) with PIL.Image instead of imageio while doing multiprocessing, sorry for the misreport. By the way, I compare the contents of provided .p file and the one I correctly produced, finding no difference. Therefore, I assume that pickle's better compression algorithm may be the reason behind it.
Anyway, thanks for your great work!
Rereading the code, I found the error do exist in the provided datasets/generate_synthia_label.py within line 75, which should be like this one in line 61.
Best regards.
I ran generate_synthia_label.py with both default settings (nproc=16) and nproc=1, but got output files varing greatly in size. Specifically, the file synthia_label_info.p you provided is around 1322KB, while my results are 458KB for nproc=16 and 1157KB for nproc=1. I am wondering what to blame for such a big difference.
Besides, would you be so kind to tell me about the functionality of such a step, as well as the performance boost of it?
The text was updated successfully, but these errors were encountered: