User Tools

Site Tools


cryolo_1_4_1
This version is outdated by a newer approved version.DiffThis version (2019/07/23 10:28) was approved by twagner.The Previously approved version (2019/07/19 15:31) is available.Diff

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