Implementing an algorithm for automatic caption generation of images in Pytorch.

Single Shot Detection is used to extract features from images which will be passed to LSTMs for caption generation. The SSD implementation is inspired from Jeremy Howard's Deep Learning Part 2.

1. single_object_pascal.ipynb: This code just detects the largest object in every image along with its bounding box coordinates.

2. multiple_objects.ipynb: This code detects multiple objects in an image along with their locations in the image.

3. basic_char_level_rnn.ipynb: Understanding how rnns work by building a simple name generator.

4. coco_preprocessing.ipynb: Preproccessing the coco dataset using COCO API.

5. word_level_rnn.ipynb: Extending char level rnn to generate work. Still in progress.