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downloads:cryolo_1 [2019/03/18 08:06] twagner [crYOLO] |
downloads:cryolo_1 [2019/04/03 15:47] twagner [Installation] |
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* < | * < | ||
* < | * < | ||
- | * Issue 15: If the --gpu_fraction is used, crYOLO always uses GPU 0. Will be fixed in 1.3.1. | + | * <del>Issue 15: If the %%--%%gpu_fraction is used, crYOLO always uses GPU 0. Will be fixed in 1.3.1.</ |
+ | * Issue 16: %%--%%gpu_fraction only works for prediction, not for training. Will be fixed in 1.3.2. | ||
+ | * Issue 17: On the fly filtering (%%--%%otf) is slower than using it not, as the filtering is not parallelized in this case. | ||
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**Install crYOLO!** | **Install crYOLO!** | ||
- | The following instructions assume that pip and [[https:// | + | The following instructions assume that pip and [[https:// |
In case you have a old cryolo environment installed, first remove the old one with: | In case you have a old cryolo environment installed, first remove the old one with: | ||
< | < | ||
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Install crYOLO: | Install crYOLO: | ||
< | < | ||
- | pip install numpy | + | conda install numpy==1.14.5 |
pip install cryolo-X.Y.Z.tar.gz | pip install cryolo-X.Y.Z.tar.gz | ||
pip install cryoloBM-X.Y.Z.tar.gz | pip install cryoloBM-X.Y.Z.tar.gz | ||
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That's it! | That's it! | ||
+ | |||
+ | You might want to check if everything is running as expected. Here is a reference example: | ||
+ | [[http:// | ||
===== Run it on the CPU ==== | ===== Run it on the CPU ==== | ||
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Use the **__'' | Use the **__'' | ||
- | ====== Change log ===== | + | ====== Change log ====== |
====crYOLO==== | ====crYOLO==== | ||
+ | |||
+ | **crYOLO 1.3.1:** | ||
+ | * Fix Issue 15: -g was ignored when --gpu_fraction was used. | ||
**crYOLO 1.3.0:** | **crYOLO 1.3.0:** |