Trueface Documentation
Trueface Documentation
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Minimum & Recommended Hardware Requirements

🍱 Pangiam Trueface On-Prem

Minimum

  • Windows, Mac, or Linux
  • Docker 1.2+
  • Docker-compose 1.29+
  • 6 GB of RAM
  • GPU deployment requires a Nvidia GPU (with compute capability 5.2+) & Nvidia Driver
    • Determine your GPU compute capability here
  • CPU that supports AVX instruction set

Recommended

  • 8GB of RAM or better
  • Intel I5 Core or better
  • Nvidia GTX GPU or better
  • Docker 19.03 +

💻 Pangiam Trueface SDK

Minimum

  • Linux, Mac, or Windows (Windows SDK only supports C++ API and has other limitations)
  • 1 GB Ram (2 GB if using heavier 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 11.2, and is only compatible with Linux.
    • Determine your GPU compute capability here

Recommended

  • 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
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