From 9c2c220c88aff4d0bcbdd5b03b10c6d1a7db56d3 Mon Sep 17 00:00:00 2001
From: Edmond Yoo <hj3yoo@uwaterloo.ca>
Date: Sun, 16 Sep 2018 03:14:14 +0000
Subject: [PATCH] Moving files from MTGCardDetector #2

---
 README.md |   20 +++++++++++++++++++-
 1 files changed, 19 insertions(+), 1 deletions(-)

diff --git a/README.md b/README.md
index 54ce9f8..e10253f 100644
--- a/README.md
+++ b/README.md
@@ -73,4 +73,22 @@
 
 Bad news, I couldn't find any repo that has python wrapper for darknet to pursue this project further. There is a [python example](https://github.com/AlexeyAB/darknet/blob/master/darknet.py) in the original repo of this fork, but [it doesn't support video input](https://github.com/AlexeyAB/darknet/issues/955). Other darknet repos are in the same situation.
 
-I suppose there is a poor man's alternative - feed individual frames from the video into the detection script for image. I'll have to give it a shot.
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+I suppose there is a poor man's alternative - feed individual frames from the video into the detection script for image. I'll have to give it a shot.
+
+
+## Sept 14th, 2018
+--------------------
+
+Thankfully, OpenCV had an implementation for DNN, which supports YOLO as well. They have done quite an amazing job, and the speed isn't too bad, either. I can score about 20~25fps on my tiny YOLO, without using GPU.
+
+
+## Sept 15th, 2018
+--------------------
+
+I tried to do an alternate approach - instead of making model identify cards as annonymous, train the model for EVERY single card. As you may imagine, this isn't sustainable for 10000+ different cards that exists in MTG, but I thought it would be reasonable for classifying 10 different cards.
+
+Result? Suprisingly effective.
+
+<img src="https://github.com/hj3yoo/darknet/blob/master/figures/4_detection_result_1.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/4_detection_result_2.jpg" width="360"><img src="https://github.com/hj3yoo/darknet/blob/master/figures/4_detection_result_3.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/4_detection_result_4.png" width="360">
+
+They're of course slightly worse than annonymous detection and impractical for any large number of cardbase, but it was an interesting approach.
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