Trueface Documentation
Trueface Documentation
💻

Minimum & Recommended Hardware Requirements

🍱 Visionbox

Minimum

  • Windows, Mac, or Linux
  • Docker 1.2+
  • 2 GB of RAM
  • visionbox-gpu requires a Nvidia GPU (with compute capability 5.2+) & Nvidia Driver
  • CPU that supports AVX instruction set

Recommend

  • 2GB of RAM or better
  • Intel I5 Core or better
  • Nvidia GTX GPU or better
  • Docker 19.03 +

💻 SDK

Minimum

  • Linux, Mac, or Windows (Windows SDK only supports C++ API and has other limitations)
  • 1 GB Ram (2 GB if using FULL or TFV5 face recognition models).
  • CPU that supports AVX instruction set
  • 1 to N identification - 1250 Bytes RAM / template
  • For GPU Support:
    • The x86-64 GPU enabled SDK supports NVIDIA GPUs with GPU Compute Capability 5.2+, and currently supports CUDA 10.1 and CUDA 11.2. Both are only compatible with Linux.
    • Determine your GPU compute capability here

Recommend

  • Linux
  • 8 GB of Ram or more
  • Intel i5 CPU or better (4 cores or more) with support for AVX2
  • Nvidia GPU (GTX or better)

⚙️ Embedded SDK

Minimum

  • ARMv7-A
  • For GPU Support:
    • The AArch64 GPU enabled SDK supports NVIDIA GPUs with GPU Compute Capability 5.3+, and currently supports CUDA 10.2 (default on NVIDIA Jetson devices). Requires Ubuntu 18.04.

Recommended

  • ARMv8-A
  • AArch64 (64 bit execution state)
  • Nvidia Jetson Xavier NX

Deprecated

🖥️ Trueface Aware

Minimum

  • 16 GB of RAM
  • i5 Intel CPU or Better
  • 512 GB SSD
  • Nvidia GPU with Comptheute Capability 6.0+ (determine your GPU compute capability here)
  • Up to 4 1080-resolution cameras

Recommend

  • 32 GB of RAM
  • i7 Intel CPU or Better
  • NVMe SSD
  • 512 GB of storage
  • Up to 6 1080-resolution cameras

🐍 Python SDK

Note, the deprecated Python SDK is not the same as the Python bindings for our C++ SDK. The deprecated SDK was written entirely in Python, whereas the new SDK is compiled from C++ for various targets and supports Python bindings.

Minimum

  • Windows, Mac, or Linux
  • Python 2.7 +
  • 1 GB of RAM
  • GPU version requires NVIDIA GPU
  • GPU version requires CUDA 8.0 or higher

Recommend

  • Windows, Mac, or Linux
  • 2 GB of RAM
  • Python 3.6 +
  • CUDA 9.2 +
  • Nvidia driver 440.33 or higher
  • GPU Version requires mxnet-gpu: pip install mxnet-cu100

📹
How many cameras can a machine run?