From ff68352bb11e413fbc67effd04067b7345b88829 Mon Sep 17 00:00:00 2001
From: Edmond Yoo <hj3yoo@uwaterloo.ca>
Date: Sat, 08 Sep 2018 03:07:51 +0000
Subject: [PATCH] Trained second general model

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+# 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.
+
+## Day 1
+-----------------------
+
+Added several image augmentation techniques to apply to the training set: noise, dropout, light variation, and glaring:
+
+<img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_augmented_set_example_1.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_augmented_set_example_2.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_augmented_set_example_3.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_augmented_set_example_4.jpg" width="360"> 
+
+Currently trying to generate enough images to start model training. Hopefully this helps.
+
+Recompiled darknet with OpenCV and CUDNN installed, and recalculated anchors.
+
+-----------------------
+
+I've ran a quick training with tiny_yolo configuration with new training data, and Voila! The model performs significantly better than the last iteration, even against some hard images with glaring & skew! The first prediction model can't detect anything from these new test images, so this is a huge improvement to the model :)
+
+<img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_detection_result_1.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_detection_result_2.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_detection_result_3.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_detection_result_4.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_detection_result_5.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_detection_result_6.jpg" width="360">
+
+<img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_learning_curve.jpg" width="360"> 
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