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downloads:cryolo_1 [2019/07/29 16:13] twagner [crYOLO] |
downloads:cryolo_1 [2019/09/17 13:58] twagner [Start picking!] |
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====crYOLO==== | ====crYOLO==== | ||
- | Version: 1.4.1 | + | Version: 1.5.0 |
- | Uploaded: | + | Uploaded: |
[[https:// | [[https:// | ||
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After that, create a new virtual environment: | After that, create a new virtual environment: | ||
< | < | ||
- | conda create -n cryolo -c anaconda python=3.6 pyqt=5 cudnn=7.1.2 numpy==1.14.5 cython | + | conda create -n cryolo -c anaconda python=3.6 pyqt=5 cudnn=7.1.2 numpy==1.14.5 cython |
</ | </ | ||
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Training crYOLO is much more computational expensive. Training a model with 14 micrographs from scratch on my local machine take 34 minutes per epoch on the CPU. Given that you often need 25 epochs until convergence it is a task to do overnight (~ 12 hours). However, you might want to try [[pipeline: | Training crYOLO is much more computational expensive. Training a model with 14 micrographs from scratch on my local machine take 34 minutes per epoch on the CPU. Given that you often need 25 epochs until convergence it is a task to do overnight (~ 12 hours). However, you might want to try [[pipeline: | ||
- | ====== | + | ====== |
- | Use the **__'' | + | Use our **__'' |
====== Change log ====== | ====== Change log ====== | ||
====crYOLO==== | ====crYOLO==== | ||
+ | |||
+ | **crYOLO 1.5.0:** | ||
+ | * Added a GUI for crYOLO (start with cryoloo.py) | ||
+ | * Optimized fast low-pass filtering pipeline: Speed up on-the-fly filtering by 175%, speed up training by 75% speed up picking by 50% | ||
+ | * Add rotation as data augmentation | ||
+ | * Number of layers for fine tuning are now changeable (-lft) | ||
+ | * cryolo_evaluation.py will now output a html file with the results. | ||
+ | * Set patch argument as deprecated | ||
+ | * Remove warmup as config file option. Please specify it with -w. | ||
**crYOLO 1.4.1:** | **crYOLO 1.4.1:** |