Comments (5)
there was a f
missing
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there was a
f
missing
hi @innerlee , thank you for you reply. i check the pull, and modified config like this
split = 1
ann_file_train = f'data/ucf101/ucf101_train_split_{split}_rawframes.txt'
ann_file_val = f'data/ucf101/ucf101_val_split_{split}_rawframes.txt'
ann_file_test = f'data/ucf101/ucf101_val_split_{split}_rawframes.txt'
it worked but i don't know after split=1
trained it will automated woked for splited=2/3
Is this rule written in the code? I would appreciate it if I could get your answer.
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could you explain a little bit what's "will automated woked for splited=2/3"?
if set split=1, then the training will load annotations of split1, so the model will be using split1's training data and validation data.
after that, if you want to train another model using split2, then set split=2 and train a new model
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oh there is a culprit. it's better to change the workdir so that weights do not get overridden
from mmaction2.
could you explain a little bit what's "will automated woked for splited=2/3"?
if set split=1, then the training will load annotations of split1, so the model will be using split1's training data and validation data.
after that, if you want to train another model using split2, then set split=2 and train a new model
haha, because the config file is written like
..{1,2,3}_rawframes.txt'
so i think there will automated continue train. i check the code in mmaction/data/rawframe_dataset.py
with open(self.ann_file, 'r') as fin:
ok, i know it, thank you very much
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