./DATAPython >= 3.7
CUDA = 11.0
PyTorch = 1.7.1
numpy >= 1.16.0
To train the rotation predition task on the unlabeled set:
python rotation.py
To extract pretext task losses and create batches:
python make_batches.py
To evaluate on active learning task:
python main.py
Hi, I have a question about test in "main.py".
As I read your code, you use TRAIN dataset for test section(in main.py, line 44, 45) Is there any reasons why you've done that?
thanks a lot in advance.
In main.py, your testset looks like above: is_train=False, path=None. So, self.img_path in Loader2 will take data from glob.glob('./DATA/train//'). Which means, you are using traindataset for testing ?
Hi, thank you so much for your sharing your work.
main.py 44 line
testset = Loader2(is_train=False, transform=transform_test)
I think it works trainset, so should I fix it like this?
testset = Loader(is_train=False, transform=transform_test)
Hi, thank you so much for your sharing your work.
So I wanted to ask one thing once we are done with the pretext task and sorting with batches, we will train for an active learning cycle from scratch?
There is no information from the previous training to the next training which is Active Learning training. Am I getting correct?
@johnsk95 thanks for sharing the code base, i have a query can we use the existing source code to extend it to task like object detection and segmentation? if so what changes have to be made Thanks in advance
"The current reproduction result is the performance of 91 to 93" I can not reproduce above accuracy. I tried to reproduce three times. The final results that I got are 89.45, 89.71, 90.05
I don't understand why it is needed to run the below line. I tried to reproduce your results. In my experiments, without this line, I even achieved better results. https://github.com/johnsk95/PT4AL/blob/main/main.py#L171
Hi,
Thank you for the great work! I'm just wondering if by any chance you could release the mapping of the 67 superclasses of Imagenet you used? Eg, the mapping of each superclass to its corresponding Imagenet class (wordnet id if possible).
I got this error when running the rotation.py
full traceback error:
'stty' is not recognized as an internal or external command,
operable program or batch file.
Traceback (most recent call last):
File "
This probably means that you are not using fork to start your
child processes and you have forgotten to use the proper idiom
in the main module:
if __name__ == '__main__':
freeze_support()
...
The "freeze_support()" line can be omitted if the program
is not going to be frozen to produce an executable.
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