# Magic: The Gathering Card Detection Model

This is a fork of [Yolo-v3 and Yolo-v2 for Windows and Linux by AlexeyAB](https://github.com/AlexeyAB/darknet#how-to-compile-on-linux) for creating a custom model for [My MTG card detection project](https://github.com/hj3yoo/MTGCardDetector). 

## Day ~0: Sep 6th, 2018
---------------------

Uploading all the progresses on the model training for the last few days.

First batch of model training is completed, where I used ~40,000 generated images of MTG cards laid out in one of the pre-defined pattern. 

<img src="https://github.com/hj3yoo/darknet/blob/master/figures/0_training_set_example_1.jpg" width="360">
<img src="https://github.com/hj3yoo/darknet/blob/master/figures/0_training_set_example_2.jpg" width="360">
<img src="https://github.com/hj3yoo/darknet/blob/master/figures/0_training_set_example_3.jpg" width="360">

After 5000 training epochs, the model got 88% validation accuracy on the generated test set. 

<img src="https://github.com/hj3yoo/darknet/blob/master/figures/0_detection_result_1.jpg" width="360">
<img src="https://github.com/hj3yoo/darknet/blob/master/figures/0_detection_result_2.jpg" width="360">
<img src="https://github.com/hj3yoo/darknet/blob/master/figures/0_detection_result_3.jpg" width="360">
<img src="https://github.com/hj3yoo/darknet/blob/master/figures/0_detection_result_4.jpg" width="360">

However, there are some blind spots on the model, notably:

- Fails to spot some of the obscured cards, where only a fraction of them are shown.
- Fairly fragile against any glaring or light variations. 
- Cannot detect any skewed cards.

Example of bad detections:

<img src="https://github.com/hj3yoo/darknet/blob/master/figures/0_detection_result_5.jpg" width="360">
<img src="https://github.com/hj3yoo/darknet/blob/master/figures/0_detection_result_6.jpg" width="360">
<img src="https://github.com/hj3yoo/darknet/blob/master/figures/0_detection_result_7.jpg" width="360">

The second and third problems should easily be solved by further augmenting the dataset with random lighting and image skew. I'll have to think more about the first problem, though.