appimage | package wxphp with entire php runtime

When I try to run my Play with the following content:

Call from my tasks/main.yml

in the attempt of upgrading nvim

How do I setup a Python virtual environment with the FreeCAD library embedded as to enable import as a module into scripts?

I would like to avoid using the FreeCAD GUI as well as being dependent on having FreeCAD installed on the system, when working with Python scripts that use FreeCAD libraries to create and modify 3D geometry. I hope a Python virtual environment can make that possible.

I am working in PyCharm 2021.1.1 with Python 3.8 in virtualenv on Debian 10.

I started out with FreeCAD documentation for embedding in scripts as a basis:

https://wiki.freecadweb.org/Embedding_FreeCAD

In one attempt, I downloaded and unpacked .deb packages from Debian, taking care to get the correct versions required by each dependency. In another attempt, I copied the contents of a FreeCAD flatpak install, as it should contain all the libraries that FreeCAD depends on.

After placing the libraries to be imported in the virtual maching folder, I have pointed to them with sys.path.append() as well as PyCharm's Project Structure tool in various attempts. In both cases the virtual environment detects where FreeCAD.so is located, but fails to find any of its dependencies, even when located in the same folder. When importing these dependencies explicitly, each of them have the same issue. This leads to a dead end when an import fails because it does not define a module export function according to Python:

I'm building a project based off the Electron React Boilerplate project. I am running MacOS 10.15.7 and node v14.15.1.

I'm trying to install sqlite3 package. Since it's a native dependency, I ran yarn add sqlite3 inside the src/ directory, like it says to do here. The compilation fails with the following output:

Been tinkering tonight but am unable to find a solution.

I've written a small script that I call with a "popup-shell" and that uses fzf to select a file. I pass this file to marktext appimage and disown the process, after which the "popup-shell" closes. Unfortunately, upon shell closure, the marktext app is also closed.

I think the problem lies in that the executable is properly disowned, but the appimage mount-stuff is still subprocessing to the "popup-shell". Once the "popup-shell" close, so does the appimage mount-stuff, which in turn will cause marktext to close.

process-tree-ish:

I'm having a problem compiling a simple Rmarkdown file, and I'm clueless about the solutions. Here is the problem:

It's a simple document without R code, just text. In the header: title, author, date and output: pdf_document.

I installed the packages rmarkdown and tinytex with install.packages("tidyverse"). TinyTex (distribution) was installed like that: tinytex::install_tinytex().

Is there a way to show a bottom sheet on Dialogs?

I need to run a custom GluonCV object detection module on Android.

I already fine-tuned the model (ssd_512_mobilenet1.0_custom) on a custom dataset, I tried running inference with it (loading the .params file produced during the training) and everything works perfectly on my computer. Now, I need to export this to Android.

I was referring to this answer to figure out the procedure, there are 3 suggested options:

1. You can use ONNX to convert models to other runtimes, for example [...] NNAPI for Android
2. You can use TVM
3. You can use SageMaker Neo + DLR runtime [...]

Regarding the first one, I converted my model to ONNX. However, in order to use it with NNAPI, it is necessary to convert it to daq. In the repository, they provide a precomplied AppImage of onnx2daq to make the conversion, but the script returns an error. I checked the issues section, and they report that "It actually fails for all onnx object detection models".

Then, I gave a try to DLR, since it's suggested to be the easiest way. As I understand, in order to use my custom model with DLR, I would first need to compile it with TVM (which also covers the second point mentioned in the linked post). In the repo, they provide a Docker image with some conversion scripts for different frameworks. I modified the 'compile_gluoncv.py' script, and now I have:

I'm deploying an app developed by Qt for both Windows and Linux:

On Windows I'm using built-in Qt windeployqt tool: