RaivoKoot/Video-Dataset-Loading-Pytorch
Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.
This tool helps deep learning practitioners efficiently prepare video data for training. It takes organized video frames and an annotation file as input and outputs processed video batches ready for deep learning models. This is designed for researchers or machine learning engineers working on video-based tasks like action recognition or gesture detection.
470 stars. No commits in the last 6 months.
Use this if you are training deep learning models with video data and need an easy, efficient, and robust way to load and augment video frames in PyTorch.
Not ideal if you are not using PyTorch for deep learning or if your video data is not stored as individual image frames on disk.
Stars
470
Forks
45
Language
Python
License
BSD-2-Clause
Category
Last pushed
Jan 18, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/RaivoKoot/Video-Dataset-Loading-Pytorch"
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...