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pipeline:window:cryolo:picking_general_refine [2019/09/17 17:38] shaikh [Picking particles - Using the general model refined for your data] |
pipeline:window:cryolo:picking_general_refine [2019/09/18 12:53] twagner [Picking particles - Using the general model refined for your data] |
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What does // | What does // | ||
- | The general model was trained on a lot of particles with a variety of shapes and therefore learned a very good set of generic features. The last layers, however, learn a fairly abstract representation of the particles and it might be that they do not perfectly fit for your particle at hand. Fine-tuning only trains | + | The general model was trained on a lot of particles with a variety of shapes and therefore learned a robust |
Why should I // | Why should I // | ||
- | - From theory, using fine-tuning should reduce the risk of overfitting ((Overfitting means, that the model works good on the training micrographs, | + | - From theory, using fine-tuning should reduce the risk of overfitting ((Overfitting means, that the model works good on the training micrographs, |
- The training is much faster, as not all layers have to be trained. | - The training is much faster, as not all layers have to be trained. | ||
- The training will need less GPU memory ((We are testing crYOLO with its default configuration on graphic cards with >= 8 GB memory. Using the fine tune mode, it should also work with GPUs with 4 GB memory)) and therefore is usable with NVIDIA cards with less memory. | - The training will need less GPU memory ((We are testing crYOLO with its default configuration on graphic cards with >= 8 GB memory. Using the fine tune mode, it should also work with GPUs with 4 GB memory)) and therefore is usable with NVIDIA cards with less memory. | ||
- | However, the fine tune mode is still somewhat experimental and we will update this section | + | However, the fine tune mode is still somewhat experimental and we will update this section |
If you followed the installation instructions, | If you followed the installation instructions, | ||
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{{ : | {{ : | ||
<note important> | <note important> | ||
- | The number of layers to fine tune (specified by layers_fine_tune in the //" | + | **Adjust the number of layers to train** |
+ | |||
+ | The number of layers to fine tune (specified by layers_fine_tune in the //" | ||
</ | </ | ||
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- | <hidden **Run training with the command line**> | + | < |
In comparison to the training from scratch, you can skip the warm up training ( -w 0 ). Moreover you have to add the // | In comparison to the training from scratch, you can skip the warm up training ( -w 0 ). Moreover you have to add the // | ||