Raad-Labs/raad-video
A high-performance video loading library for machine learning, designed for efficient training data preparation.
This tool helps machine learning engineers efficiently prepare video data for training their models. It takes raw video files and outputs preprocessed, augmented, and optimized video frames as tensors, ready for immediate use in frameworks like PyTorch or TensorFlow. This is ideal for machine learning practitioners building or training models that rely on video inputs.
No commits in the last 6 months.
Use this if you are a machine learning engineer struggling with slow or inefficient video data loading and preprocessing during model training.
Not ideal if you are working with static image datasets or do not require high-performance video processing for machine learning tasks.
Stars
8
Forks
—
Language
Python
License
—
Category
Last pushed
Feb 17, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Raad-Labs/raad-video"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
roboflow/inference
Turn any computer or edge device into a command center for your computer vision projects.
roboflow/roboflow-python
The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow...
dusty-nv/jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives...
hailo-ai/tappas
High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices
Apra-Labs/ApraPipes
A pipeline framework for developing video and image processing application. Supports multiple...