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When you are not able to embed/add an image from GitHub to your MarkDown files such as a page in Sphinx or Jupyter Book, maybe you are using blob instead of raw in the image URL.

For example, if you use https://github.com/hci-unihd/plant-seg/raw/assets/images/plantseg_overview.png then the link is to an image, but https://github.com/hci-unihd/plant-seg/blob/assets/images/plantseg_overview.png is to the GitHub page that contains the image.

Click to see the difference:

• https://github.com/hci-unihd/plant-seg/raw/assets/images/plantseg_overview.png
• https://github.com/hci-unihd/plant-seg/blob/assets/images/plantseg_overview.png

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import os
import re
import subprocess
from datetime import datetime, timedelta


def set_creation_date(file_path, creation_date):
    """
    Set the creation date of a file.

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Upload Package to PyPI and Conda

• Publishing to PyPI Manually
  • Resources
  • Workflow
• Contributing to Conda Manually
  • Resources
  • Workflow

Publishing to PyPI Manually

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If Chrome browser doesn't show correct resolution and sharp boundaries, append this parameters /high-dpi-support=1 /force-device-scale-factor=1 to the target field in Properties:

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For easily merging some labels in an instance segmentation mask:

• Paintera: https://github.com/saalfeldlab/paintera
• bigCAT: https://github.com/saalfeldlab/bigcat
• webKnossos: https://github.com/scalableminds/webknossos
• Napari: https://github.com/napari/napari

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Ubuntu20.04 Wine 6.0 微信中文显示方块/方框

如果希望在Ubuntu使用Windows版微信：

1. 安装 Wine sudo apt-get install wine
2. 先把环境改了省事：

   $ export WINEARCH=win32
   $ export WINEPREFIX=/home/qinyu/Wine/WeChat

3. 创建 Wine Bottle

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If conda install fails to resolve dependencies, install packages with all channels used before. For example, use

$ conda install napari vigra elf nifty pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c nvidia -c conda-forge -c cpape

instead of

$ conda install napari vigra nifty -c conda-forge

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If you have GSettings schema undefined not found during installation of Panel World Clock (Lite) by Nei, then it might not be a problem with GSettings or gnome. If you installed gnome-clock with snap, remove it by snap remove gnome-clock and then reinstall it by apt. Now reinstall panel world clock, logout and login again.

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OMP: Error #34 Solution

by Qin Yu, May 2021

If you get the following error during training with TensorFlow, then this is relevant to you (though this is an OpenMP/OMP error):

OMP: Error #34: System unable to allocate necessary resources for OMP thread:
OMP: System error #11: Resource temporarily unavailable
OMP: Hint Try decreasing the value of OMP_NUM_THREADS.

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Some important things to note when one tries to use a remote interpreter in PyCharm:

1. If you are using two instances of PyCharm, e.g. on two differenct machines:
   • map the project to a separate folder in the remote disk, the default /tmp/_______ should be fine, but it could be anywhere.
   • map the .pycharm_helper folder to a separate directory too, e.g. for home machine access create a ~/.pycharm_helper_home to map to.
2. If you are using conda environments, do the following to actually get conda working:
   • suppose you are using an environment called my_conda_env, find the location of the python executable, e.g. you can do

     $ conda activate my_conda_env
     $ which python