video-captioning-project AliGaffarToksoy · PARTIAL
This project demonstrates a video captioning system using pre-trained models based on TimeSformer for video frame encoding and GPT-2 for caption generation. The purpose of the project is to generate descriptive captions for video content by extracting frames and analyzing them through a deep learning model architecture.
github.com/AliGaffarToksoy/video-captioning-project · ★ 0 · Forks 0 · Size 107 KB
SUMMARY
Technologies 10
Scored 9
Observed 9
Practices 6
Evidence 11
Skips 1
COVERAGE
Analyzed 61 files · 5 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
XML LANGUAGE Depth 70
4 files · PRODUCTION
JavaScript LANGUAGE Depth 70
8 files · PRODUCTION
Python LANGUAGE Depth 70
24 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Flask FRAMEWORK Depth 74
5 files · PRODUCTION, TEST
NumPy LIBRARY Depth 70
4 files · PRODUCTION
SQLAlchemy LIBRARY Depth 44
1 files · PRODUCTION
pandas LIBRARY Depth 62
2 files · PRODUCTION
python-dotenv LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-10-15
Last commit 2025-10-20
Active months 1
Commits 5