AlbertoCasasOrtiz

#!/bin/bash

# Exit when an error happens instead of continue.
set -e

# Default values for flags.
DEBUG_TYPE="Release"
NUM_JOBS=4
MOCO="on"
CORE_BRANCH="main"

AlbertoCasasOrtiz

#!/bin/bash

# Exit when an error happens instead of continue.
set -e

# Default values for flags.
DEBUG_TYPE="Release"
NUM_JOBS=4
MOCO="on"
CORE_BRANCH="main"

AlbertoCasasOrtiz

#Requires -RunAsAdministrator
param (
  [switch]$s=$false,
  [switch]$h=$false,
  [string]$d="Release",
  [string]$c="main",
  [int]$j=[int]4
)

# Default values for variables.

AlbertoCasasOrtiz

#!/bin/bash

# Exit when an error happens instead of continue.
set -e

# Default values for flags.
DEBUG_TYPE="Release"
NUM_JOBS=4
MOCO="on"
CORE_BRANCH="main"

AlbertoCasasOrtiz

#!/bin/bash

# Exit when an error happens instead of continue.
set -e

# Default values for flags.
DEBUG_TYPE="Release"
NUM_JOBS=4
MOCO="on"
CORE_BRANCH="main"

AlbertoCasasOrtiz

#Requires -RunAsAdministrator
param (
  [switch]$s=$false,
  [switch]$h=$false,
  [string]$d="Release",
  [string]$c="main",
  [string]$g="main",
  [int]$j=[int]4
)

AlbertoCasasOrtiz

1. Build in release mode.

2. Execute macdeployqt. My project is formed by 2 subprojects. one of them containing the gui components (qrc, qml...), and other containing all the logic.
The project with the gui is in <Dir_to_gui_project>. <Dir_to_release> must contain the library generated by Qt from the logic project.

<Dir_to_Qt>/5.15.1/clang_64/bin/macdeployqt <app_name>.app -qmldir="<Dir_to_gui_project>" -libpath=<Dir_to_release>

3. Test that all Qt libraries are inside the bundle.
Use otool to see which libraries are required, then test if they are inside of <app_name>.app/Contents/Frameworks.

AlbertoCasasOrtiz

import tensorflow as tf
from keras.models import model_from_json

keras.backend.clear_session()

# Model reconstruction from JSON file.
with open('model.json', 'r') as f:
    model = model_from_json(f.read())

# Load weights from h5 file.

AlbertoCasasOrtiz

# It is necessary to restart the environment before changing version
# if you have already imported tensorflow.

# Change to version 1.x

%tensorflow_version 1.x
import tensorflow
print(tensorflow.__version__)

AlbertoCasasOrtiz

1. Install PyInstaller as a dependency in File->Settings->Project->Project Interpreter.
2. In Edit Configurations, add as Interpreter Options: -m PyInstaller
3. Add -F if you want to generate a pacakge with just one executable file (can be slower).
3. Add --noconsole to get rid of console.