Differences

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--- cinderella_micrographs [2019/12/10 09:20]
twagner [Training]
+++ cinderella_micrographs [2020/08/28 07:35]
twagner [Training]
@@ Line 12: / Line 12: @@
 The first step is to train Cinderella with manually selected good and bad micrographs. Create two folders, one containing manually selected good micrographs (e.g ''GOOD_MICS/'') and one contain bad micrographs (e.g ''BAD_MICS/''). Both folders can contain subfolders.
+<note question>
+**How many micrographs do I need?**
+We typically start with 30 good and 30 bad micrographs.
+</note>
 Then specify the paths into a config file like this:
@@ Line 33: / Line 38: @@
 }
 </code>
-The fields have the following meaning:
+The fields in the section **model** have the following meaning:
   * **input_size**: This is the image size to which each micrograph is resized to.
-  * **batch_size**: How many micrograph are in one mini-batch. If you have memory problems, you can try to reduce this value.
+  * **mask_radius**: (Optional) Circular mask radius which is applied after resizing to the input size. If not given, it uses 0.4 * **input_size** as default.
+The fields in the section **train** have the following meaning:
+  * **batch_size**: How many micrographs are in one mini-batch. If you have memory problems, you can try to reduce this value.
   * **good_path**: Path to folder with good micrographs.
   * **bad_path**: Path to folder with bad micrographs.