Image-Captioning-CNN-LSTM AmirhosseinHonardoust · COMPLETED
An end-to-end image captioning project using a CNN encoder (ResNet-50) and LSTM decoder in PyTorch. Includes vocabulary building, preprocessing, training with BLEU evaluation, and inference. Generates natural language captions for images with saved metrics, model checkpoints, and visualization outputs.
github.com/AmirhosseinHonardoust/Image-Captioning-CNN-LSTM · ★ 42 · Forks 2 · Size 413 KB
SUMMARY
Technologies 9
Scored 9
Observed 9
Practices 6
Evidence 11
Skips 0
COVERAGE
Analyzed 22 files · 47 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
3 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
2 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
6 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 58
1 files · PRODUCTION
pandas LIBRARY Depth 66
2 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-09-13
Last commit 2026-07-01
Active months 4
Commits 47