Litemoment

Getting Started

1.Watch our YouTube channel for AI tracking result.

2.DIY your own AI camera (see above link).

3.Watch our tutorial videos for howtos (see above link).

4.(Optional Purchase) Smart button for quickly capturing action highlights and compilation of highlights.

Features

FREE software alternative for Veo/Trace/Pixellot/XBot/Pix4team/Camera-Pan
No monthly fee, use your own computer for AI processing
AI Tracking and Panoramic videos
Shoot from multiple perspectives, automatically sync time
Quickly locate highlight moments in the game

Free Download from GDrive

Browse and download files from the shared Google Drive folder below.

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Running AI Analysis with GPU Support

To use the GPU-accelerated version of Litemoment NX, you need to set up the NVIDIA CUDA environment on your Windows system. Please follow the steps below.

1. Prerequisites

Ensure you have an NVIDIA graphics card that supports CUDA 11.8. You can check compatibility on the NVIDIA CUDA GPU list.

2. Install CUDA Toolkit 11.8

Download: Visit the official NVIDIA archive and download the CUDA 11.8 installer for Windows.

Official Download Link: CUDA Toolkit 11.8 Download Archive
Run Installer: Execute the downloaded file. During installation, you can choose the "Express" option. This will automatically set up the necessary system environment variables.
Verify Installation (Optional but Recommended):
- Open a Command Prompt and type nvcc --version.
- If installed correctly, it will display the CUDA version (11.8). Also, verify the CUDA_PATH_V11_8 environment variable exists in your System Properties.

3. Install cuDNN 8.x for CUDA 11.8

cuDNN is a GPU-accelerated library for deep neural networks.

Download: You need to download cuDNN v8.x.x for CUDA 11.x from the NVIDIA website. Note: This requires creating a free NVIDIA Developer account.

Official Guide & Download: NVIDIA cuDNN Installation Guide
Install (Manual Copy):
- Extract the downloaded cuDNN ZIP file.
- Open the extracted folder (e.g., cuda).
- Copy the files from the bin, include, and lib directories.
- Paste these files into the corresponding folders inside your CUDA 11.8 installation directory (typically C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8).