Great video, straight to the point. I would like to learn how to do this with short videos and also with Hollywood feature films. Do you know of any AI that can describe a video like this Ai Ollama described the image with the 3 dogs locally without using the internet? Another question: Do you know if there is any AI capable of recognizing musical styles and describing the style in a text response?
Thank you so much for your kind words! I’m glad you found the video helpful. 😊 Regarding your questions: 1. Describing Videos Locally: While Ollama focuses on images, there are AI tools like OpenAI’s Whisper for audio transcription or YOLO for object detection in video frames. To process and describe entire videos offline, you’d typically combine frame-by-frame image analysis (using tools like LLaVA or YOLO) with a video processing library such as FFmpeg. However, for Hollywood feature films or longer videos, you’ll need a good amount of system resources to handle the data locally. 2. Recognizing Musical Styles: Currently, there are AI models like Essentia and Spotify’s Annoy that can analyze audio to identify musical styles and provide metadata. These tools are often used for genre classification and can work offline with some setup. They might not provide detailed text responses like Ollama, but combining them with a natural language generation model could achieve similar results.
Great video, straight to the point. I would like to learn how to do this with short videos and also with Hollywood feature films. Do you know of any AI that can describe a video like this Ai Ollama described the image with the 3 dogs locally without using the internet? Another question: Do you know if there is any AI capable of recognizing musical styles and describing the style in a text response?
Thank you so much for your kind words! I’m glad you found the video helpful. 😊
Regarding your questions:
1. Describing Videos Locally:
While Ollama focuses on images, there are AI tools like OpenAI’s Whisper for audio transcription or YOLO for object detection in video frames. To process and describe entire videos offline, you’d typically combine frame-by-frame image analysis (using tools like LLaVA or YOLO) with a video processing library such as FFmpeg. However, for Hollywood feature films or longer videos, you’ll need a good amount of system resources to handle the data locally.
2. Recognizing Musical Styles:
Currently, there are AI models like Essentia and Spotify’s Annoy that can analyze audio to identify musical styles and provide metadata. These tools are often used for genre classification and can work offline with some setup. They might not provide detailed text responses like Ollama, but combining them with a natural language generation model could achieve similar results.