RE: LeoThread 2024-09-25 05:16

[ahmadmanga]

I Prompted ChatGPT: I have a gameplay video, is there an ai tool that translates what's happening on the screen into text. What I want is similar to transcription, but in a way that describes what the player is doing and what the game is doing too with no unnecessary line.

Response in comments.

Comments

[ahmadmanga]

Yes, there are AI tools that can help describe gameplay by interpreting what's happening on-screen. However, achieving the level of specificity you're asking for—accurately describing player actions and game events without unnecessary information—would require a combination of tools:

1. Object Detection & Scene Understanding: Tools like OpenCV with YOLO (You Only Look Once) or TensorFlow can detect objects and actions happening in the game, such as identifying characters, enemies, or specific objects in a scene.

2. Action Recognition Models: Pre-trained AI models, such as those from the Action Recognition space, can be used to understand player movement or in-game actions (like shooting, jumping, etc.).

3. Text Generation for Narration: Once the gameplay actions are identified, models like GPT-4 can generate concise descriptions of what's happening based on the detected actions.

[ahmadmanga]

If you want to automate this, you'd need to combine visual analysis tools with natural language generation tailored to your gameplay. It would require some custom setup, but it's feasible with current AI technology. Would you like guidance on how to set this up?

[ahmadmanga]

Prompt: Is there a single tool, online or offline that can do that?

Summarized Response: There isn't a single tool that transcribes gameplay into detailed action-based descriptions. Some options, like GameSight AI or OpenAI Codex combined with visual recognition tools, can partially meet this need but would require custom integration. Replay analysis tools focus more on performance than narration. A full solution would likely require combining multiple tools.

Expanded response in comments.

[ahmadmanga]

Currently, there isn't a single AI tool that automatically transcribes gameplay into detailed action-based descriptions (like a narrator describing what the player and game elements are doing) in one step. Most tools focus on specific aspects, such as screen capture, object detection, or basic transcription of voice, but not detailed action narration.

[ahmadmanga]

Some options may partially meet your needs:

1. GameSight AI (Custom Integration): This tool is designed for esports and gaming analytics. It can recognize key in-game events but would still need custom integration with a language model to generate text.

2. OpenAI Codex/GPT-4 with Custom Vision Models: Though not a pre-built tool, using GPT-4 combined with a visual recognition tool like OpenCV, YOLO, or others could theoretically create a system for generating game-based descriptions. This setup would be offline but require some technical expertise to implement.

3. Replay Analysis Tools (e.g., AimLab, Highlights AI): These focus more on performance analysis for players (aim, kills, etc.) rather than detailed descriptions, but they could be extended for basic action detection.

At this time, no single off-the-shelf tool provides the exact gameplay-to-text description functionality. You'd likely need a custom solution involving multiple tools or models.

[ahmadmanga]

Prompt: Is there an easy-to-use combinations of tools that achieve this result?

Summarized response: Here's an easy combination of tools to transcribe gameplay into text:

• OBS Studio: Record or stream your gameplay video.
• Object Detection Models (like YOLOv5 or OpenCV): Recognize in-game objects and events (characters, weapons, actions).
• Action Detection Models (e.g., SlowFast, TSN): Recognize high-level player actions (shooting, jumping).
• GPT-4: Feed detected events into OpenAI’s GPT-4 API to automatically generate concise text descriptions.

Workflow:

1. Use OBS to capture gameplay.
2. Apply object or action recognition models to detect key events.
3. GPT-4 turns recognized actions into narrative text.

This setup offers flexibility without complex coding. While no single tool automates everything, combining these makes the process easier and more customizable for different games.

Expanded response in comments!

[ahmadmanga]

Here's an outline of tools that are relatively easy to use together, without needing to code from scratch:

1. OBS Studio + OpenAI (via API or GPT-based tools)

• OBS Studio: Use this free software to record or stream your gameplay.
• Pre-trained Object Detection Models: Integrate a model like YOLOv5 or OpenCV (you can use pre-trained models, which are easy to set up using Python) to detect game events such as character movements, enemies, weapons, etc.
• OpenAI GPT-4 or ChatGPT: Once objects or actions are detected, you can feed that data to GPT-4 using OpenAI’s API for natural language generation to create the descriptions of what's happening.

Ease of Setup: Some technical setup is required for object detection, but using Python and available libraries can streamline it. OpenAI’s API is easy to integrate for the text generation part.

[ahmadmanga]

2. Action Detection Models + GPT-4

• Action Recognition Model: Use models like TSN (Temporal Segment Network) or SlowFast (from PyTorch) to recognize high-level actions in the game. These models can recognize specific types of movement or activities like jumping, shooting, etc.
• GPT-4: Integrate GPT-4 to narrate based on recognized actions, automatically translating the events into text.

Ease of Setup: Action recognition models like SlowFast have pre-trained versions, so they don’t require much tweaking. You can use Python to create a simple pipeline to pass recognized actions to GPT-4 for narration.

[ahmadmanga]

3. Game-Event Trackers + Video Summary AI

• Some specific games have trackers that log game events (kills, objectives, etc.). Pair these logs with tools like Deepgram or Descript (which also handle some visual recognition tasks) for auto-generated text summaries based on in-game logs.
• Example: If you're working with a well-known game, such as Fortnite, tools like Fortnite Tracker provide in-game events, which can be processed into text summaries using AI summarization tools.

[ahmadmanga]

Combining Tools in a Simple Workflow:

• Step 1: Use OBS or a similar tool to capture gameplay video.
• Step 2: Use pre-trained object/action recognition models (YOLO, SlowFast, or others) to detect game actions.
• Step 3: Use GPT-4/OpenAI to generate narration based on those detected actions.

With these steps, you can achieve a functional pipeline that’s modular and adaptable to different games without building it from scratch.