eyecontact

Getting Started

NVIDIA Maxine Eye Contact NIM uses gRPC APIs for inferencing requests. Following instructions demonstrate the usage of Maxine Eye Contact NIM model using Python client.

Prerequisites

You will need a system with git and Python 3.10+ installed.

Download the NVIDIA Maxine Eye Contact Python client

Download code by cloning the gRPC Client Repository:

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git clone https://github.com/NVIDIA-Maxine/nim-clients.git
cd nim-clients/eye-contact/

Install the dependencies for the NVIDIA Maxine Eye Contact Python client:

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sudo apt-get install python3-pip
pip install -r requirements.txt

Run Python Client

Navigate to the scripts directory

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cd scripts

Send gRPC request

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python eye-contact.py --preview-mode \
--target grpc.nvcf.nvidia.com:443 \
--function-id 15c6f1a0-3843-4cde-b5bc-803a4966fbb6 \
--api-key $API_KEY_REQUIRED_IF_EXECUTING_OUTSIDE_NGC \
--input <input file path> \
--output <output file path and the file name>

Note the requirements for input file:

• The supported file type is mp4.
• The size limit for input file is 1 GB.
• The duration limit for input file is 3 min.
• It can take up to 10 mins to process large input files.

Command line arguments

• -h, --help show this help message and exit
• --preview-mode Flag to send request to preview NVCF NIM server on https://build.nvidia.com/nvidia/eyecontact/api.
• --ssl-mode {DISABLED,MTLS,TLS} Flag to set SSL mode, default is DISABLED
• --ssl-key The path to ssl private key.
• --ssl-cert The path to ssl certificate chain.
• --ssl-root-cert The path to ssl root certificate.
• --target IP of gRPC service, when hosted locally. Use grpc.nvcf.nvidia.com:443 when hosted on NVCF.
• --input The path to the input video file.
• --output The path for the output video file.
• --api-key NGC API key required for authentication, utilized when using TRY API ignored otherwise
• --function-id NVCF function ID for the service, utilized when using TRY API ignored otherwise

Refer this documentation for more information.