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cryolo_reference_example [2019/04/03 15:43] twagner [Download reference data and getting started] |
cryolo_reference_example [2019/04/03 15:51] twagner [crYOLO reference example] |
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====== crYOLO reference example ====== | ====== crYOLO reference example ====== | ||
- | Here we provide quick example for training and picking with crYOLO. The main purpose is to check if your setup is running as expected. | + | Here we provide quick run through |
- | ===== Reference | + | ===== Reference |
We run this example on machine with the following specification: | We run this example on machine with the following specification: | ||
* Titan V | * Titan V | ||
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===== Training ===== | ===== 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 #1: | + | 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: |
< | < | ||
cryolo_train.py -c config_phosnet.json -w 5 -g 0 | cryolo_train.py -c config_phosnet.json -w 5 -g 0 | ||
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cryolo_train.py -c config_phosnet.json -w 0 -e 10 -g 0 | cryolo_train.py -c config_phosnet.json -w 0 -e 10 -g 0 | ||
</ | </ | ||
- | It needed 6 minutes 45 seconds to converge (18 epochs). The best validation loss was 0.03316. These number | + | It needed 6 minutes 45 seconds to converge (18 epochs). The best validation loss was 0.03316. These numbers |
===== Prediction ===== | ===== Prediction ===== |