added API docs and demo

.github/workflows/publish-to-pypi.yml

@@ -0,0 +1,110 @@
+name: Publish Python Package to PyPI
+
+# This workflow uses GitHub's OIDC trusted publishing to authenticate with PyPI.
+# For this to work, you must configure trusted publishers on PyPI/TestPyPI:
+# 1. Go to https://test.pypi.org/ or https://pypi.org/
+# 2. Navigate to your project settings → Publishing
+# 3. Add a new publisher with these details:
+#    - Owner: alexlib
+#    - Repository: openptv-python
+#    - Workflow: publish-to-pypi.yml
+#    - Environment: testpypi (for TestPyPI) or pypi (for PyPI)
+#
+# TROUBLESHOOTING:
+# If you see "invalid-publisher" error, it means the trusted publisher is not configured
+# correctly on PyPI/TestPyPI. The configuration MUST match these exact values:
+# - Repository owner: alexlib
+# - Repository name: openptv-python
+# - Workflow filename: publish-to-pypi.yml (must be exact match)
+# - Environment name: testpypi or pypi (must match exactly)
+#
+# For detailed setup instructions, see DEPLOYMENT.md
+
+on:
+  release:
+    types: [published]
+  workflow_dispatch:
+    inputs:
+      deploy_target:
+        description: 'Deploy to PyPI or TestPyPI'
+        required: true
+        default: 'testpypi'
+        type: choice
+        options:
+          - pypi
+          - testpypi
+
+jobs:
+  build:
+    name: Build distribution
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.11'
+
+      - name: Install build dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install build twine
+
+      - name: Build package
+        run: python -m build
+
+      - name: Check distribution
+        run: twine check dist/*
+
+      - name: Upload artifacts
+        uses: actions/upload-artifact@v4
+        with:
+          name: python-package-distributions
+          path: dist/
+
+  publish-to-pypi:
+    name: Publish to PyPI
+    if: github.event_name == 'release' || (github.event_name == 'workflow_dispatch' && github.event.inputs.deploy_target == 'pypi')
+    needs: [build]
+    runs-on: ubuntu-latest
+    environment:
+      name: pypi  # This must match the environment name in PyPI's trusted publisher config
+      url: https://pypi.org/p/openptv-python
+    permissions:
+      id-token: write  # Required for trusted publishing via OIDC
+
+    steps:
+      - name: Download distributions
+        uses: actions/download-artifact@v4
+        with:
+          name: python-package-distributions
+          path: dist/
+
+      - name: Publish to PyPI
+        uses: pypa/gh-action-pypi-publish@release/v1
+
+  publish-to-testpypi:
+    name: Publish to TestPyPI
+    if: github.event_name == 'workflow_dispatch' && github.event.inputs.deploy_target == 'testpypi'
+    needs: [build]
+    runs-on: ubuntu-latest
+    environment:
+      name: testpypi  # This must match the environment name in TestPyPI's trusted publisher config
+      url: https://test.pypi.org/p/openptv-python
+    permissions:
+      id-token: write  # Required for trusted publishing via OIDC
+
+    steps:
+      - name: Download distributions
+        uses: actions/download-artifact@v4
+        with:
+          name: python-package-distributions
+          path: dist/
+
+      - name: Publish to TestPyPI
+        uses: pypa/gh-action-pypi-publish@release/v1
+        with:
+          repository-url: https://test.pypi.org/legacy/
+

.github/workflows/python-app.yml

@@ -0,0 +1,24 @@
+name: Python application
+
+on:
+  push:
+    branches: [ main, simple_yaml_with_tests ]
+  pull_request:
+    branches: [ main, simple_yaml_with_tests ]
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python
+      uses: actions/setup-python@v4
+      with:
+        python-version: '3.11'
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        python -m pip install -e ".[dev]"
+    - name: Run tests
+      run: |
+        make unit-tests

.gitignore

@@ -4,6 +4,7 @@ version.py
 # Sphinx automatic generation of API
 docs/README.md
 docs/_api/
+docs/_generated/
 
 # Combined environments
 ci/combined-environment-*.yml
@@ -473,3 +474,68 @@ $RECYCLE.BIN/
 .cruft.json
 /.tmp
 /tmp
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+*.pyc
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+env/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*,cover
+.hypothesis/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+
+
+

Makefile

@@ -1,6 +1,8 @@
 PROJECT := openptv_python
 CONDA := conda
 CONDAFLAGS :=
+UV := uv
+UVFLAGS := --extra dev --upgrade
 COV_REPORT := html
 PYTHON ?= python
 
@@ -15,11 +17,16 @@ unit-tests:
 type-check:
 	$(PYTHON) -m mypy .
 
+env-update: uv-env-update
+
 conda-env-update:
 	$(CONDA) install -y -c conda-forge conda-merge
 	$(CONDA) run conda-merge environment.yml ci/environment-ci.yml > ci/combined-environment-ci.yml
 	$(CONDA) env update $(CONDAFLAGS) -f ci/combined-environment-ci.yml
 
+uv-env-update:
+	$(UV) sync $(UVFLAGS)
+
 docker-build:
 	docker build -t $(PROJECT) .
 
@@ -30,6 +37,6 @@ template-update:
 	pre-commit run --all-files cruft -c .pre-commit-config-cruft.yaml
 
 docs-build:
-	cp README.md docs/. && cd docs && rm -fr _api && make clean && make html
+	cp README.md docs/. && $(PYTHON) docs/render_native_stress_demo_include.py && cd docs && rm -fr _api && make clean && make html
 
 # DO NOT EDIT ABOVE THIS LINE, ADD COMMANDS BELOW

README.md

@@ -7,29 +7,28 @@ Python version of the OpenPTV library - this is *a work in progress*
 `openptv-python` keeps the Python API as the main interface and combines three
 execution modes behind that API:
 
-- Pure Python: the reference implementation and the easiest path for reading,
-  debugging, and extending the code.
-- Python + Numba: several hot kernels are JIT-compiled automatically on first
+- **Pure Python**: the reference implementation and the easiest path for reading,
+  debugging, and extending the code. Always available as fallback.
+- **Python + Numba**: several hot kernels are JIT-compiled automatically on first
   use, so the Python implementation still benefits from acceleration.
-- Native `optv` bindings: selected operations reuse the native OpenPTV
-  implementation when the `optv` package is available.
+- **Native `optv` bindings** (default): selected operations reuse the native OpenPTV
+  implementation. Installed by default on supported platforms (Linux, macOS, Windows).
 
 At the moment, automatic native delegation is implemented for image
 preprocessing and full-frame target recognition. The rest of the library keeps
 the same Python API and remains usable even when those native paths are not in
 use.
 
-## How this is started
+If `optv` is not available on your platform, the package automatically falls back
+to pure Python/Numba implementations without any configuration needed.
 
-This work started from the https://github.com/OpenPTV/openptv/tree/pure_python branch. It's a long-standing idea to convert all the C code to Python and now it's possible with ChatGPT to save
-a lot of typing time.
+## How this is started
 
-This repo is created using a *cookiecutter* and the rest of the readme describes the way to work with
-this structure
+This work started from the https://github.com/OpenPTV/openptv/tree/pure_python branch. It now serves as the single repository for the Python core library and the GUI layer.
 
 ## Supported Python Versions
 
-The project currently supports Python `>=3.12,<3.14`.
+The project currently supports Python `>=3.11,<3.14`.
 
 ## Installation
 
@@ -45,14 +44,12 @@ source .venv/bin/activate
 uv sync
 ```
 
-This gives you the standard runtime stack: NumPy, SciPy, Numba, and YAML
-support.
+This gives you the standard runtime stack: NumPy, SciPy, Numba, YAML, and the native `optv` bindings for accelerated image preprocessing and target recognition.
 
-If you also want native `optv` delegation when bindings are available for your
-platform and Python version, install the optional extra:
+If you also want the GUI application, install the GUI extra:
 
 ```bash
-uv sync --extra native
+uv sync --extra gui
 ```
 
 #### Alternative: pip
@@ -63,10 +60,10 @@ conda activate openptv-python
 pip install .
 ```
 
-Optional native bindings:
+Optional GUI application:
 
 ```bash
-pip install ".[native]"
+pip install ".[gui]"
 ```
 
 ### Developer install
@@ -89,13 +86,10 @@ pip install -e ".[dev]"
 
 ### What gets installed
 
-- The default install contains the runtime dependencies only.
-- The optional `native` extra adds `optv` bindings for automatic native
-  delegation on supported platforms.
-- The optional `dev` extra adds test, docs, typing, and pre-commit tooling for
-  contributors.
-- The public API stays the same regardless of which backend extras are
-  installed.
+- The default install includes `optv` bindings for automatic native delegation on supported platforms (Linux, macOS, Windows).
+- The optional `gui` extra adds the PyPTV GUI and its runtime dependencies.
+- The optional `dev` extra adds test, docs, typing, pre-commit, and GUI tooling for contributors.
+- If `optv` fails to install on your platform, the package falls back to pure Python/Numba implementations automatically.
 
 ## Backend Behavior
 
@@ -150,13 +144,9 @@ Use one of the installation methods above.
 uv run python - <<'PY'
 import openptv_python
 import numba
-try:
-  import optv
-except ImportError:
-  print("optv not installed; native delegation disabled")
-else:
-  print("optv ok", optv.__version__)
+import optv
 
+print("optv ok", optv.__version__)
 print("openptv_python ok")
 print("numba ok", numba.__version__)
 PY
@@ -184,17 +174,28 @@ OPENPTV_SKIP_STRESS_BENCHMARKS=1 uv run make
 
 ### Workflow for developers/contributors
 
-For the best experience create a new conda environment (e.g. DEVELOP) with Python 3.12:
+Recommended contributor workflow with `uv`:
 
+```bash
+uv venv
+source .venv/bin/activate
+make env-update
 ```
+
+This keeps the local environment synced to the locked developer dependency set.
+
+If you prefer the conda workflow instead:
+
+```bash
 conda create -n openptv-python -c conda-forge python=3.12
 conda activate openptv-python
+make conda-env-update
 ```
 
 Before pushing to GitHub, use the developer install above and then run the
 following commands:
 
-1. Update conda environment: `make conda-env-update` or `uv venv` and `source .venv/bin/activate` followed by `uv sync --extra dev --upgrade`
+1. Update the environment: `make env-update` by default, or `make conda-env-update` if you are using the conda workflow
 1. If you are using pip instead of uv, install the editable developer environment: `pip install -e ".[dev]"`
 1. Sync with the latest [template](https://github.com/ecmwf-projects/cookiecutter-conda-package) (optional): `make template-update`
 1. Run quality assurance checks: `make qa`

conda.recipe/conda_build_config.yaml

@@ -0,0 +1,9 @@
+python:
+  - 3.6
+  - 3.7
+  - 3.8
+  - 3.9
+  - 3.10
+  - 3.11
+  - 3.12
+  - 3.13