scarescrow / StoryReel

Generating short stories from images

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StoryReel

This project attempts to generate stories from images. It achieves this by combining multiple state-of-the-art neural networks for the tasks of face detection, face recognition, object detection and text generation. It also uses NER and retrieval.

Models Used

Task Technique
Face Detection MTCNN
Face Recognition ResNet-50 (trained on VGGFace2)
Object Detection VGG16 (trained on ImageNet)
Story Retrieval Cosine Similarity
NER Spacy
Story Generation GPT-2 (trained on ROCStories)

Flow Diagram

Flow Diagram

Report and Poster

The report is uploaded here, and a poster demonstrating the project can be found here.

Sample Outputs

Sample Story 1

Example 1

Sample Story 2

Example 1

About

Generating short stories from images


Languages

Language:Jupyter Notebook 73.2%Language:Python 26.8%