Audio uit video splitsen

In deze oefening ga je een tv-reclamevideo voor Bounce wasverzachter uit de jaren 80 opsplitsen. Dat is nodig zodat we het beeld en het geluid kunnen scheiden voor de afzonderlijke beeld- en audioclassificatiemodellen.

Frames uit de Bounce tv-reclame

De modules ffmpeg_extract_subclip en VideoFileClip zijn geladen. Het MP4-bestand is gedownload als bounce_ad.mp4.

Deze oefening maakt deel uit van de cursus

Multi-modale modellen met Hugging Face

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Oefeninstructies

Maak een subclipbestand van bounce_ad.mp4 dat start op 0 s en eindigt op 5 s, met de uitvoernaam bounce_ad_5s.mp4.
Laad de nieuwe subclip.
Extraheer de audiostream.
Schrijf de audiostream weg naar de bestandsnaam bounce_ad_5s.mp3

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# Create a subclip file from bounce_ad.mp4
ffmpeg_extract_subclip(____)

# Load the new subclip
video = ____

# Extract the audio stream
audio = ____

# Write the audio stream
audio.____

Code bewerken en uitvoeren

Deze oefening maakt deel uit van de cursus

Multi-modale modellen met Hugging Face

SkillTag.level.intermediateSkillTag.label

4.8+

Begin de cursus gratis

Navigate the Hugging Face model hub, transform raw text, audio, and visual data into AI-friendly formats. Learn how to find the latest most popular models for tasks such as text generation and harness the power of pre-built pipelines.

Exercise 1: Hugging Face model navigation Exercise 2: How many models!?Exercise 3: Finding the most popular text-to-image model Exercise 4: Preprocessing different modalities Exercise 5: Text tokenizing Exercise 6: Image preprocessing Exercise 7: Audio preprocessing Exercise 8: Pipeline tasks and evaluations Exercise 9: Pipeline caption generation Exercise 10: Passing keyword arguments Exercise 11: Model evaluation on a custom dataset

Learn to master individual modalities with state-of-the-art models. Dive into computer vision for image classification and segmentation, explore speech recognition and text-to-speech synthesis, and learn effective fine-tuning techniques. Build practical skills with pre-trained models from Hugging Face's transformers library.

Exercise 1: Computer vision Exercise 2: Image classification Exercise 3: Object detection Exercise 4: Image background removal Exercise 5: Fine-tuning computer vision models Exercise 6: CV fine-tuning: dataset prep Exercise 7: CV fine-tuning: model classes Exercise 8: CV fine-tuning: trainer configuration Exercise 9: Speech recognition and audio generation Exercise 10: Automatic speech recognition Exercise 11: Creating speech embeddings Exercise 12: Audio denoising Exercise 13: Fine-tuning text-to-speech models Exercise 14: Fine-tuning a text-to-speech model Exercise 15: Generating new speech

Learn to fuse visual, textual, and audio information for richer AI applications. Master techniques like CLIP for zero-shot classification, build sentiment analyzers that see and read, and create emotion detectors that combine facial expressions with voice. Take your AI models beyond single-modality thinking.

Exercise 1: Zero-shot beeldclassificatie Exercise 2: Zero-shot learning met CLIP Exercise 3: Geautomatiseerde kwaliteitsbeoordeling van bijschriften Exercise 4: Multimodale sentimentanalyse Exercise 5: Prompts schrijven voor Vision Language Models (VLM's)Exercise 6: Multi-modale sentimentclassificatie met Qwen Exercise 7: Zero-shot videoclassificatie Exercise 8: Audio uit video splitsen

Huidige oefening

Exercise 9: Video-sentimentanalyse met CLIP CLAP

Transform ideas into reality! Master cutting-edge AI techniques to generate and manipulate visual content using text prompts. Create stunning images, edit photos intelligently, and build powerful question-answering systems for images and documents. Turn your creative vision into digital reality with multi-modal AI.

Exercise 1: Visual question-answering (VQA)Exercise 2: VQA with Vision Language Transformers (ViLTs)Exercise 3: Document VQA with LayoutLM Exercise 4: Image editing with diffusion models Exercise 5: Custom image editing Exercise 6: Image inpainting Exercise 7: Video generation Exercise 8: Build a video!Exercise 9: Assessing video generation performance Exercise 10: Congratulations!