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--- downloads:cryolo_1 [2019/07/09 18:32]
shaikh [General PhosaurusNet models]
+++ downloads:cryolo_1 [2019/07/09 19:58]
twagner [Run it on the CPU]
@@ Line 38: / Line 38: @@
 Uploaded:  17. May 2019
-[[ftp://ftp.gwdg.de/pub/misc/sphire/crYOLO_V1_3_6/cryolo-1.3.6.tar.gz|DOWNLOAD GPU VERSION]]
+[[ftp://ftp.gwdg.de/pub/misc/sphire/crYOLO_V1_4_0/cryolo-1.4.0.tar.gz|DOWNLOAD]]
-[[ftp://ftp.gwdg.de/pub/misc/sphire/crYOLO_V1_3_6/cryolo-1.3.6.dev0.tar.gz|DOWNLOAD CPU VERSION]]
+Please see install instruction how to get it running on the CPU.
 ====crYOLO boxmanager====
@@ Line 129: / Line 129: @@
 After that, create a new virtual environment:
 <code>
-conda create -n cryolo -c anaconda python=3.6 pyqt=5 cudnn=7.1.2
+conda create -n cryolo -c anaconda python=3.6 pyqt=5 cudnn=7.1.2 cython
 </code>
@@ Line 139: / Line 139: @@
 Install crYOLO:
 <code>
-conda install numpy==1.14.5
+conda install numpy==1.15.4
-pip install cryolo-X.Y.Z.tar.gz
+#IN CASE YOU WANT TO INSTALL THE GPU VERSION:
+pip install cryolo-X.Y.Z.tar.gz[gpu]
+#IN CASE YOU WANT TO INSTALL THE CPU VERSION:
+pip install cryolo-X.Y.Z.tar.gz[cpu]
 pip install cryoloBM-X.Y.Z.tar.gz
 </code>
@@ Line 152: / Line 156: @@
 ===== Run it on the CPU ====
-There is also a way to run crYOLO on CPU. To use it, just install the CPU version as provided in the download section. This is especially usefull when you would like to apply the generalized model and don't have a NVIDIA GPU.
+There is also a way to run crYOLO on CPU. To use it, just follow the instruction in the install section. This is especially usefull when you would like to apply the generalized model and don't have a NVIDIA GPU.
 Picking with crYOLO is also quite fast on the CPU. On my local machine (Intel i9) it takes roughly 1 second per micrograph and on our low-performance notebooks (Intel i3) 4 seconds.

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