Metadata-Version: 2.4
Name: depthai
Version: 3.8.0.dev0+6af23cf0c9028754b515dcd3764df6c7f070d567
Summary: DepthAI Python Library
Home-page: https://github.com/luxonis/depthai-core/tree/main/bindings/python
Author: Luxonis
Author-email: support@luxonis.com
License: MIT
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: notices/THIRD_PARTY_NOTICES
License-File: notices/depthai-device-RVC2-LICENSE
License-File: notices/depthai-device-RVC4-LICENSE
License-File: notices/dynamic_calibration-LICENSE
Requires-Dist: numpy<3.0.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# DepthAI Python Library

[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)
[![](https://img.shields.io/pypi/v/depthai.svg)](https://pypi.org/project/depthai/)
[![Python Wheel CI](https://github.com/luxonis/depthai-python/actions/workflows/main.yml/badge.svg?branch=gen2_develop)](https://github.com/luxonis/depthai-python/actions/workflows/main.yml)

Python bindings for C++ depthai-core library

## Documentation

Documentation is available over at [Luxonis DepthAI API](https://docs.luxonis.com/projects/api/en/latest/)

## Installation

Prebuilt wheels are available in [Luxonis repository](https://artifacts.luxonis.com/artifactory/luxonis-python-snapshot-local/)
Make sure pip is upgraded
```
python3 -m pip install -U pip
python3 -m pip install --extra-index-url https://artifacts.luxonis.com/artifactory/luxonis-python-snapshot-local/ depthai
```
## Building from source

### Dependencies
 - cmake >= 3.4
 - C++14 compiler (clang, gcc, msvc, ...)
 - Python3

Along these, dependencies of depthai-core are also required
See: [depthai-core dependencies](https://github.com/luxonis/depthai-core#dependencies)


### Building

The first time you build, the repository submodules need be initialized:
```
git submodule update --init --recursive

# Tip: You can ask Git to do that automatically:
git config submodule.recurse true
```

Later submodules also need to be updated.

#### Local build with pip
To build and install using pip:
```
cd dephai-core/bindings/python
python3 -m pip install .
```
Add parameter `-v` to see the output of the building process.

#### Wheel with pip
To build a wheel, execute the following
```
cd depthai-core/bindings/python
python3 -m pip wheel . -w wheelhouse --no-deps
```

#### Shared library
> ℹ️ This is the recommended way when you are iterating as installing with pip is generally very slow for iteration.

To build a shared library from source perform the following:
```
cd depthai-core
cmake -H. -Bbuild -DDEPTHAI_BUILD_PYTHON=ON
cmake --build build
```
> ℹ️ To speed up build times, use `cmake --build build --parallel [num CPU cores]` (CMake >= 3.12).
> For older versions use: Linux/macOS: `cmake --build build -- -j[num CPU cores]`, MSVC: `cmake --build build -- /MP[num CPU cores]`

To specify custom Python executable to build for, use `cmake -H. -Bbuild -D PYTHON_EXECUTABLE=/full/path/to/python`.

⚠️ **Important:** To run python code directly with the shared library, you need to set the `PYTHONPATH` environment variable to the directory containing the shared library.
For example, on Linux:
```
export PYTHONPATH=$(pwd)/build/bindings/python
# Confirm that the right shared library is loaded
python3 -c "import depthai as dai; print(dai.__file__)"
# It should print the path to the shared library, something like /path/to/depthai-core/build/bindings/python/depthai.cpython-38-x86_64-linux-gnu.so
```
> ℹ️ When using an IDE like VSCode, if you set the `PYTHONPATH` before opening the IDE, it will correctly resolve autocompletion without needing to do `pip install .`.

#### Common issues

* Many build fails due to missing dependencies. This also happens when submodules are missing or outdated (`git submodule update --recursive`).
* If libraries and headers are not in standard places, or not on the search paths, CMake reports it cannot find what it needs (e.g. `libusb`). CMake can be hinted at where to look, for exmpale: `CMAKE_LIBRARY_PATH=/opt/local/lib CMAKE_INCLUDE_PATH=/opt/local/include pip install .`
* Some distribution installers may not get the desired library. For example, an install on a RaspberryPi failed, missing `libusb`, as the default installation with APT led to v0.1.3 at the time, whereas the library here required v1.0.


## Running tests

To run the tests build the library with the following options
```
git submodule update --init --recursive
cmake -H. -Bbuild -D DEPTHAI_PYTHON_ENABLE_TESTS=ON -D DEPTHAI_PYTHON_ENABLE_EXAMPLES=ON -D DEPTHAI_PYTHON_TEST_EXAMPLES=ON
cmake --build build
```

Then navigate to `build` folder and run `ctest`
```
cd build
ctest
```

To test a specific example/test with a custom timeout (in seconds) use following:
```
TEST_TIMEOUT=0 ctest -R "01_rgb_preview" --verbose
```
If `TEST_TIMEOUT=0`, the test will run until stopped or it ends.

## Tested platforms

- Windows 10, Windows 11
- Ubuntu 18.04, 20.04, 22.04;
- Raspbian 10;
- macOS 10.14.6, 10.15.4;

### Building documentation

- **Using [Docker](https://docs.docker.com/) (with [Docker Compose](https://docs.docker.com/compose/install/))**

     ```
     cd docs
     sudo docker-compose build
     sudo docker-compose up
     ```

     > ℹ️ You can leave out the `sudo` if you have added your user to the `docker` group (or are using rootless docker).
     Then open [http://localhost:8000](http://localhost:8000).

     This docker container will watch changes in the `docs/source` directory and rebuild the docs automatically

- **Linux**

     First, please install the required [dependencies](#Dependencies)

     Then run the following commands to build the docs website

     ```
     python3 -m pip install -U pip
     python3 -m pip install -r docs/requirements.txt
     cmake -H. -Bbuild -D DEPTHAI_BUILD_DOCS=ON -D DEPTHAI_PYTHON_BUILD_DOCS=ON
     cmake --build build --target sphinx
     python3 -m http.server --bind 0.0.0.0 8000 --directory build/docs/sphinx
     ```

     Then open [http://localhost:8000](http://localhost:8000).

     This will build documentation based on current sources, so if some new changes will be made, run this command
     in a new terminal window to update the website source

     ```
     cmake --build build --target sphinx
     ```

     Then refresh your page - it should load the updated website that was just built

## Troubleshooting

### Relocation link error

Build failure on Ubuntu 18.04 ("relocation ..." link error) with gcc 7.4.0 (default) - [**issue #3**](https://github.com/luxonis/depthai-api/issues/3)
   - the solution was to upgrade gcc to version 8:

         sudo apt install g++-8
         sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-8 70
         sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-8 70
### Hunter
Hunter is a CMake-only dependency manager for C/C++ projects.

If you are stuck with error message which mentions external libraries (subdirectory of `.hunter`) like the following:
```
/usr/bin/ld: /home/[user]/.hunter/_Base/062a19a/ccfed35/a84a713/Install/lib/liblzma.a(stream_flags_decoder.c.o): warning: relocation against `lzma_footer_magic' in read-only section `.text'
```

Try erasing the **Hunter** **cache** folder.

Linux/MacOS:
```
rm -r ~/.hunter
```
Windows:
```
del C:/.hunter
```
or
```
del C:/[user]/.hunter
```

### LTO - link time optimization

If following message appears:
```
lto1: internal compiler error: in add_symbol_to_partition_1, at lto/lto-partition.c:152
Please submit a full bug report,
with preprocessed source if appropriate.
See <file:///usr/share/doc/gcc-10/README.Bugs> for instructions.
lto-wrapper: fatal error: /usr/bin/c++ returned 1 exit status
compilation terminated.
/usr/bin/ld: error: lto-wrapper failed
collect2: error: ld returned 1 exit status
make[2]: *** [CMakeFiles/depthai.dir/build.make:227: depthai.cpython-38-x86_64-linux-gnu.so] Error 1
make[1]: *** [CMakeFiles/Makefile2:98: CMakeFiles/depthai.dir/all] Error 2
make: *** [Makefile:130: all] Error 2
```

One fix is to update linker: (In case you are on Ubuntu 20.04: `/usr/bin/ld --version`: 2.30)
```
# Add to the end of /etc/apt/sources.list:

echo "deb http://ro.archive.ubuntu.com/ubuntu groovy main" >> /etc/apt/sources.list

# Replace ro with your countries local cache server (check the content of the file to find out which is)
# Not mandatory, but faster

sudo apt update
sudo apt install binutils

# Should upgrade to 2.35.1
# Check version:
/usr/bin/ld --version
# Output should be: GNU ld (GNU Binutils for Ubuntu) 2.35.1
# Revert /etc/apt/sources.list to previous state (comment out line) to prevent updating other packages.
sudo apt update
```

Another option is to use **clang** compiler:
```
sudo apt install clang-10
mkdir build && cd build
CC=clang-10 CXX=clang++-10 cmake ..
cmake --build . --parallel
```
