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cryolo_1_4_1
This version is outdated by a newer approved version.
This version (2019/07/23 10:28) was approved by twagner.The Previously approved version (2019/07/19 15:31) is available.
This version (2019/07/23 10:28) was approved by twagner.The Previously approved version (2019/07/19 15:31) is available.This is an old revision of the document!
Testing the release candidate for 1.4.1
Changes:
- Changed the dependencies back to tensorflow 1.10.1 and numpy 1.14.5 as some users reported long initialization times.
- The initialization weights are not longer shipped with the package and downloaded on-the-fly (because they are big and pypi does not allow such big packages)
- crYOLO is available through pypi
- crYOLO box manager is now available through pypi package and is installed automatically with crYOLO
- Fix fine-tune mode
conda env remove --name cryolo
After that, create a new virtual environment:
conda create -n cryolo -c anaconda python=3.6 pyqt=5 cudnn=7.1.2 cython
Activate the environment:
source activate cryolo
Install fast numpy from conda:
conda install numpy==1.14.5
In case you run crYOLO on a GPU run:
pip install 'cryolo[gpu]==1.4.1rc2'
But if you want to run crYOLO on a CPU run:
pip install 'cryolo[cpu]==1.4.1rc2'
During the installtion of crYOLO you will see the following error message:
ERROR: imagecodecs-lite 2019.2.22 has requirement numpy>=1.15.4, but you'll have numpy 1.14.5 which is incompatible.
However, you can ignore it. It is actually also working with numpy==1.14.5
Thats it
cryolo_1_4_1.1563870513.txt.gz ยท Last modified: 2019/07/23 10:28 by twagner
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