janni_tutorial
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janni_tutorial [2019/07/10 10:36] twagner [Denoise] |
janni_tutorial [2019/07/10 13:29] twagner [Training a model for your data] |
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| * **nb_epoch**: | * **nb_epoch**: | ||
| * **saved_weights_name**: | * **saved_weights_name**: | ||
| + | * **train_valid_thresh**: | ||
| + | * **max_valid_img_per_file**: | ||
| In principle you only have to adapt the paths. The other could keep as they are. | In principle you only have to adapt the paths. The other could keep as they are. | ||
| We typically use at least 30 movies to train the model. Less might also work, more work often much better. | We typically use at least 30 movies to train the model. Less might also work, more work often much better. | ||
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| Here is now how you do the actual denoising: | Here is now how you do the actual denoising: | ||
| - | It is assumed that you run the command in a directory | + | It is assumed that you run the command in a directory with your model file '' |
| The following command will run the denoising on GPU 0: | The following command will run the denoising on GPU 0: | ||
janni_tutorial.txt · Last modified: 2020/09/24 14:46 by twagner
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