fcakyon/video-transformers
Easiest way of fine-tuning HuggingFace video classification models
This tool helps machine learning engineers and researchers quickly adapt existing video classification models to new, specific video datasets. You provide your labeled video files, and the tool outputs a fine-tuned model ready to classify videos according to your custom categories. It's designed for those who work with video analytics and need to customize off-the-shelf models without extensive coding.
148 stars. No commits in the last 6 months. Available on PyPI.
Use this if you have a collection of videos you want to categorize and need to train a specialized video classification model using your own data.
Not ideal if you don't have labeled video data or if you need to build a video analysis system entirely from scratch.
Stars
148
Forks
14
Language
Python
License
MIT
Category
Last pushed
Mar 20, 2023
Commits (30d)
0
Dependencies
12
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/fcakyon/video-transformers"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Kohulan/DECIMER-Image_Transformer
DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of...
sovit-123/vision_transformers
Vision Transformers for image classification, image segmentation, and object detection.
leaderj1001/BottleneckTransformers
Bottleneck Transformers for Visual Recognition
qubvel/transformers-notebooks
Inference and fine-tuning examples for vision models from 🤗 Transformers
rishikksh20/convolution-vision-transformers
PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers