Trueface SDK Reference - Stable¶

Welcome to the Trueface SDK. The SDK allows you to integrate Trueface’s AI models directly into your application while ensuring maximum performance and flexibility. Start by downloading the correct version of the SDK for your target platform and desired language. Next, refer to the General section for guidance on how to initialize the SDK.

Downloads¶

Stable release version 0.19.8416

Choosing Your Release Type¶

Alpha contains the absolute latest features (updated daily), but may also contain bugs. Beta contains fewer bugs while still having relatively new features. Stable will contain the fewest bugs but will take the longest to get new features. You will generally want to choose the Beta or Stable releases.

Note, if downloading the SDK in an automated manner (ex. building docker images) and you always require the latest SDK version, then replace the postfix in the download link (SDK version) with _latest.zip instead. So for example, https://reference.trueface.ai/cpp/staging/latest/uploads/truefaceSDK_v0.10.5483.zip would become https://reference.trueface.ai/cpp/staging/latest/uploads/truefaceSDK_latest.zip.

If you require a previous version of the documentation or SDK downloads, refer to the Previous Stable Releases tab on the left.

x86-64 C++¶

Target platform	SHA256
C++ x86-64 CPU Linux	`517c0abb9d...`
C++ x86-64 GPU CUDA-10.1 Linux (Ubuntu 18.04)	`d25f3c6cb5...`
C++ x86-64 CPU macOS	`28f9f4b588...`
C++ x86-64 CPU Windows (Release, MT)	`194c47b0ce...`

x86-64 Python bindings¶

Python bindings Documentation

Python bindings documentation can be found here

Target platform	SHA256
Python 3.6 64Bit CPU Linux	`801d1c097c...`
Python 3.6 64Bit GPU CUDA-10.1 Linux (Ubuntu 18.04)	`ff355954e6...`
Python 3.7 64Bit CPU Linux	`e0a34120f4...`
Python 3.7 64Bit CPU macOS	`6be89d5908...`
Python 3.7 64Bit GPU CUDA-10.1 Linux (Ubuntu 18.04)	`4c3a25c270...`
Python 3.8 64Bit CPU Linux	`c3a1197fa2...`
Python 3.8 64Bit CPU macOS	`62d2accf53...`
Python 3.8 64Bit GPU CUDA-10.1 Linux (Ubuntu 18.04)	`b256c14ba8...`

ARM C++¶

Target platform	SHA256
Aarch64 CPU Linux	`59b5adb919...`
Arm32 CPU Linux	`40c76a6167...`

ARM Python Bindings¶

Python bindings Documentation

Python bindings documentation can be found here

Target platform	SHA256
Python 3.6 64Bit CPU Linux Aarch64	`d454608d7d...`
Python 3.6 32Bit CPU Linux Arm32	`00ec30b0d6...`
Python 3.7 64Bit CPU Linux Aarch64	`80478fb37a...`
Python 3.7 32Bit CPU Linux Arm32	`5c066e108b...`

Mobile¶

Target platform	SHA256
Android	N/A

GPU SDK Dependencies¶

The GPU SDK currently only supports Ubuntu 18.04. While the CPU SDK is dependency free (only requires OpenMP for Linux and Windows), the GPU SDK does have a few dependencies which must be installed. First, you must have CUDA 10.1 (runtime) and cudnn7 installed on your Ubuntu device. Alternatively, you can use the nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04 docker image.

The other required dependencies are:

libomp.so
libopenblas.so.0
libcudnn.so.7

All the necessary runtime dependencies can be installed by running the following commands:

apt-get install -y libomp-dev libopenblas-dev software-properties-common
add-apt-repository ppa:graphics-drivers
apt-key adv --fetch-keys  http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
bash -c 'echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/cuda.list'
bash -c 'echo "deb http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/cuda_learn.list'
apt update
apt install cuda-10-1
apt install libcudnn7
export PATH=/usr/local/cuda-10.1/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-10.1/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-10.2/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

Windows SDK¶

Our team does the majority of development and testing in a Linux environment. The Windows SDK may therefore contain more bugs than the other platform releases and may be lacking in a few features. The current known issues and limitations are as follows:

PostgreSQL database management system is currently not supported.
Any file including winerror.h must have #undef NO_ERROR as the NO_ERROR defined in winerror.h conflicts with Trueface::ErrorCodes::NO_ERROR.

As of this time, we are only supporting a release configured version of the library (and not a debug version). Additionally, the library has been built with /MT so be sure to set the flag appropriately.

Getting Started Tutorials¶

Every SDK download package comes bundled with sample code demonstrating proper usage of the SDK for various tasks such as face detection, face recognition, object detection, mask detection, and more. Start by understanding how the sample code works by reading the comments in the code.

Sample Apps¶

Sample Apps demonstrate full working applications. These extend the scope of the sample code which comes shipped with the SDK.

Reporting SDK Bugs and Documentation Errors¶

If you encounter a bug in the SDK, please send an email to support@trueface.ai. Please include at minimum the following:

SDK version
SDK target (ex. Python 3.7 64Bit CPU Linux)
Expected behaviour
Observed behaviour
A minimal reproducible code example showing how to replicate the bug
Any input images used

The more information you provide, the faster we can diagnose the issue and push out a fix.

If you happen to find a mistake (spelling, syntax error, etc.) in the latest Alpha, Beta, or Stable documentation, please email support@trueface.ai with a screenshot of the mistake, documentation version number (same as SDK version), and the release type (Alpha, Beta, or Stable). We will push out a fix as soon as we can.

C++ (Stable) - Contents:

Index