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Refactor binary build
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‎.github/workflows/release.yml‎

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release:
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if: startsWith(github.ref, 'refs/tags/')
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runs-on: ubuntu-latest
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outputs:
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upload_url: ${{ steps.create_release.outputs.upload_url }}
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steps:
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- name: Build Changelog
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run: |
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pip install .
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- name: Install PyQt5 for macOS
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shell: bash -l {0}
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run: |
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conda install -c conda-forge pyqt==5.15.7
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if: runner.os == 'macOS'
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- name: Run pyinstaller
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shell: bash -l {0}
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run: |
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pip install pyinstaller
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pyinstaller anylabeling.spec
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- name: Upload release executable on macOS & Linux
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id: upload_release_executable_macos_linux
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- name: Upload Linux/Windows Release Assets
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uses: softprops/action-gh-release@v2
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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with:
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upload_url: ${{ needs.release.outputs.upload_url }}
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asset_path: ./dist/anylabeling
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asset_name: AnyLabeling-${{ runner.os }}${{ matrix.device == 'GPU' && '-GPU' || '' }}
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asset_content_type: application/octet-stream
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if: runner.os != 'Windows'
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- name: Upload release executable on Windows
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id: upload_release_executable_windows
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uses: softprops/action-gh-release@v2
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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files: |
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./dist/anylabeling
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./dist/anylabeling.exe
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fail_on_unmatched_files: false
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if: success()
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build_macos_folder:
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needs: [release]
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runs-on: macos-latest
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strategy:
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matrix:
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device: [CPU, GPU]
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steps:
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- uses: actions/checkout@v2
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with:
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submodules: true
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- uses: conda-incubator/setup-miniconda@v2
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with:
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upload_url: ${{ needs.release.outputs.upload_url }}
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asset_path: ./dist/anylabeling.exe
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asset_name: AnyLabeling${{ matrix.device == 'GPU' && '-GPU' || '' }}.exe
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asset_content_type: application/octet-stream
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if: runner.os == 'Windows'
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python-version: "3.10.14"
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miniconda-version: "latest"
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- name: Install main
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shell: bash -l {0}
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run: |
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pip install .
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- name: Install PyQt5 for macOS
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shell: bash -l {0}
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run: |
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conda install -c conda-forge pyqt==5.15.7
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- name: Make build script executable
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shell: bash -l {0}
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run: |
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chmod +x scripts/build_macos_folder.sh
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- name: Create dmg for macOS
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- name: Build in folder mode
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shell: bash -l {0}
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run: |
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npm install -g create-dmg
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cd dist
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create-dmg AnyLabeling.app || test -f AnyLabeling\ 0.0.0.dmg
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mv AnyLabeling\ 0.0.0.dmg AnyLabeling${{ matrix.device == 'GPU' && '-GPU' || '' }}.dmg
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if: runner.os == 'macOS'
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- name: Upload release app on macOS
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id: upload_release_app_macos
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./scripts/build_macos_folder.sh ${{ matrix.device }}
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- name: Create zip archive
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shell: bash -l {0}
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run: |
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cd dist && zip -r AnyLabeling-Folder${{ matrix.device == 'GPU' && '-GPU' || '' }}.zip AnyLabeling-Folder${{ matrix.device == 'GPU' && '-GPU' || '' }}/
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- name: Upload macOS Folder Build Assets
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uses: softprops/action-gh-release@v2
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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with:
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upload_url: ${{ needs.release.outputs.upload_url }}
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asset_path: ./dist/AnyLabeling${{ matrix.device == 'GPU' && '-GPU' || '' }}.dmg
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asset_name: AnyLabeling${{ matrix.device == 'GPU' && '-GPU' || '' }}.dmg
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asset_content_type: application/octet-stream
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if: runner.os == 'macOS'
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files: ./dist/AnyLabeling-Folder${{ matrix.device == 'GPU' && '-GPU' || '' }}.zip
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if: success()

‎.pre-commit-config.yaml‎

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hooks:
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- id: codespell
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files: \.(py|sh|rst|yml|yaml)$
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args:
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- --ignore-words-list=datas
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- --skip=scripts/build_macos_folder.sh

‎README.md‎

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- Download and run newest version from [Releases](https://github.com/vietanhdev/anylabeling/releases).
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- For MacOS:
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- After installing, go to Applications folder
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- Right click on the app and select Open
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- From the second time, you can open the app normally using Launchpad
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- Download the folder mode build (`AnyLabeling-Folder.zip`) from [Releases](https://github.com/vietanhdev/anylabeling/releases)
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- See [macOS folder mode instructions](docs/macos_folder_mode.md) for details
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### Install from Pypi
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‎anylabeling/app_info.py‎

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__appname__ = "AnyLabeling"
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__appdescription__ = "Effortless data labeling with AI support"
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__version__ = "0.4.25"
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__version__ = "0.4.26"
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__preferred_device__ = "CPU" # GPU or CPU

‎docs/macos_folder_mode.md‎

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# macOS Build for AnyLabeling
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## Overview
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The macOS build of AnyLabeling is provided as a directory structure rather than a bundled `.app` file. This approach offers:
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- Easier integration with other tools or scripts
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- Customization of the application's resources
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- Better compatibility across different macOS versions
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- Direct access to application files
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## Installation
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1. Download the appropriate `AnyLabeling-Folder.zip` (CPU) or `AnyLabeling-Folder-GPU.zip` (GPU) from the [releases page](https://github.com/vietanhdev/anylabeling/releases).
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2. Extract the downloaded ZIP file:
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```bash
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unzip AnyLabeling-Folder.zip
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```
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3. The extracted folder `AnyLabeling-Folder` contains everything needed to run the application.
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## Running the Application
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To run the application, execute the `anylabeling` binary in the folder:
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```bash
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cd AnyLabeling-Folder
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./anylabeling
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```
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You can also create a shortcut or alias to this executable for easier access.
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## Building Locally
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If you want to build the application yourself:
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1. Clone the repository:
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```bash
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git clone https://github.com/vietanhdev/anylabeling.git
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cd anylabeling
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```
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2. Install dependencies:
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```bash
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pip install -r requirements-macos-dev.txt
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```
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3. Make the build script executable:
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```bash
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chmod +x scripts/build_macos_folder.sh
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```
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4. Run the build script:
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```bash
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# For CPU version
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./scripts/build_macos_folder.sh
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# For GPU version
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./scripts/build_macos_folder.sh GPU
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```
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5. The built application folder will be available at `./dist/AnyLabeling-Folder/` (CPU) or `./dist/AnyLabeling-Folder-GPU/` (GPU).
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## Troubleshooting
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If you encounter issues with the application:
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- Ensure you have the correct permissions to execute the application:
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```bash
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chmod +x AnyLabeling-Folder/anylabeling
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```
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- If you get dynamic library loading errors, make sure all dependencies are properly installed:
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```bash
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pip install -r requirements-macos.txt
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```
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- If you encounter graphics or UI issues, try using the CPU version instead of GPU.
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- For further assistance, please [open an issue](https://github.com/vietanhdev/anylabeling/issues/new) on GitHub.

‎scripts/build_macos_folder.sh‎

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#!/bin/bash
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# Script to build AnyLabeling in folder mode for macOS
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# This creates a directory-based application instead of a bundled .app
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# Set CPU or GPU mode
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if [ "$1" == "GPU" ]; then
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sed -i'' -e 's/\_\_preferred_device\_\_[ ]*=[ ]*\"[A-Za-z0-9]*\"/__preferred_device__ = "GPU"/g' anylabeling/app_info.py
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SUFFIX="-GPU"
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else
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sed -i'' -e 's/\_\_preferred_device\_\_[ ]*=[ ]*\"[A-Za-z0-9]*\"/__preferred_device__ = "CPU"/g' anylabeling/app_info.py
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SUFFIX=""
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fi
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# Create temporary PyInstaller spec for folder mode
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cat > anylabeling_folder.spec << EOL
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# -*- mode: python -*-
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# vim: ft=python
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import sys
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sys.setrecursionlimit(5000) # required on Windows
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a = Analysis(
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['anylabeling/app.py'],
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pathex=['anylabeling'],
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binaries=[],
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datas=[
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('anylabeling/configs/auto_labeling/*.yaml', 'anylabeling/configs/auto_labeling'),
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('anylabeling/configs/*.yaml', 'anylabeling/configs'),
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('anylabeling/views/labeling/widgets/auto_labeling/auto_labeling.ui', 'anylabeling/views/labeling/widgets/auto_labeling')
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],
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hiddenimports=[],
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hookspath=[],
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runtime_hooks=[],
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excludes=[],
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)
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pyz = PYZ(a.pure, a.zipped_data)
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# Create a directory structure instead of a bundled .app
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exe = EXE(
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pyz,
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a.scripts,
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exclude_binaries=True, # This is the key difference - exclude binaries
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name='anylabeling',
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debug=False,
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strip=False,
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upx=False,
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console=False,
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icon='anylabeling/resources/images/icon.icns',
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)
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# Bundle binaries in a separate folder
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coll = COLLECT(
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exe,
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a.binaries,
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a.zipfiles,
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a.datas,
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strip=False,
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upx=False,
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name='AnyLabeling-Folder${SUFFIX}',
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)
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EOL
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# Install PyInstaller if not already installed
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pip install pyinstaller
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# Run PyInstaller with the folder mode spec
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pyinstaller --noconfirm anylabeling_folder.spec
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# Cleanup
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rm anylabeling_folder.spec
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# Print success message
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echo "Build completed. Application folder is located at ./dist/AnyLabeling-Folder${SUFFIX}/"
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# Make the script executable
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chmod +x scripts/build_macos_folder.sh

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