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Regarding this, how can I train the datasets of two scenarios?
one is:
source data (all labelled), target data (all unlabelled)
-> I am not sure about wether the below is correct format or not,
source_dir/dog_xxx.png 0
source_dir/cat_123.png 1
target_dir/dog_xxy.png
target_dir/cat_nsdf3.png
another is:
source data (all labelled), target data (half labelled, and harf unabelled)
-> I am not sure about wether the below is correct format or not,
source_dir/dog_xxx.png 0
source_dir/cat_123.png 1
target_dir/dog_xxy.png 0
target_dir/cat_nsdf3.png
Can you give me the guideline about training the customdataset using ImageList?
The text was updated successfully, but these errors were encountered:
You gave the guideline for using custom dataset using ImageList like below
CLASStllib.vision.datasets.imagelist.ImageList(root, classes, data_list_file, transform=None, target_transform=None)
Regarding this, how can I train the datasets of two scenarios?
one is:
source data (all labelled), target data (all unlabelled)
-> I am not sure about wether the below is correct format or not,
source_dir/dog_xxx.png 0
source_dir/cat_123.png 1
target_dir/dog_xxy.png
target_dir/cat_nsdf3.png
another is:
source data (all labelled), target data (half labelled, and harf unabelled)
-> I am not sure about wether the below is correct format or not,
source_dir/dog_xxx.png 0
source_dir/cat_123.png 1
target_dir/dog_xxy.png 0
target_dir/cat_nsdf3.png
Can you give me the guideline about training the customdataset using ImageList?
The text was updated successfully, but these errors were encountered: