Differences

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--- cryolo_reference_example [2019/04/16 16:21]
twagner [Download reference data and getting started]
+++ cryolo_reference_example [2020/05/08 11:43]
twagner [Training]
@@ Line 7: / Line 7: @@
   * Titan V
   * Intel Core i9 7920X @ 2.90 Ghz
+  * SSD Harddrive
+  * crYOLO 1.5.0
@@ Line 35: / Line 37: @@
 ===== Training =====
-First, you have to warm up the network with "-g 0" I'm selection GPU 0. It takes 2 minutes 30 seconds on our reference setup:
-<code>
+The training is done with this command:
-cryolo_train.py -c config_phosnet.json -w 5 -g 0
-</code>
-The actual training is done with this command:
 <code>
-cryolo_train.py -c config_phosnet.json -w 0 -e 10 -g 0
+cryolo_train.py -c config_phosnet.json -w 5 -e 5 -g 0
 </code>
-It needed 6 minutes 45 seconds to converge (18 epochs). The best validation loss was 0.03316. These numbers might be a little bit different on your case.
+crYOLO needs 5 minutes 50 seconds to converge (5 warmup + 10 "normal" epochs). The best validation loss was 0.03042. These numbers might be a little bit different on your case.
 ===== Prediction =====
@@ Line 50: / Line 49: @@
 </code>
-It picked 1617 particles on 12 micrographs in 4 seconds. Including filtering the image and loading the model the command needed 46 seconds.
+It picked 1617 particles on 12 micrographs in 3 seconds. Including filtering the image and loading the model the command needed 38 seconds.
 ===== Visualize results =====