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auto2d_tutorial [2019/05/28 15:32] twagner |
auto2d_tutorial [2019/07/10 13:35] twagner [Classify] |
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- | Copy this into a new file called '' | + | The fields have the following meaning: |
+ | * **input_size**: | ||
+ | * **batch_size**: | ||
+ | * **good_classes**: | ||
+ | * **bad_classes**: | ||
+ | * **pretrained_weights**: | ||
+ | * **saved_weights_name**: | ||
+ | * **learning_rate**: | ||
+ | * **nb_epoch**: | ||
+ | * **nb_early_stop**: | ||
+ | * **train_valid_thresh**: | ||
+ | * **max_valid_img_per_file**: | ||
- | To run the classification I suppose you want to seperate | + | Copy this into a new file called '' |
+ | |||
+ | To run the classification I suppose you want to separate | ||
This is the command to run: | This is the command to run: | ||
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==== Training ==== | ==== Training ==== | ||
If you would like to train Cinderella with your own classes, you can easily do it. | If you would like to train Cinderella with your own classes, you can easily do it. | ||
- | First you have to separate your good and bad classes into separate files. Create two folders, on containing good classes (e.g '' | + | First you have to separate your good and bad classes into separate files. Create two folders, on containing good classes (e.g '' |
Then specify the paths into a config file like this: | Then specify the paths into a config file like this: |