From 6ef5acd9c612140cbf698c5ca1295bdba0293801 Mon Sep 17 00:00:00 2001
From: Edmond Yoo <hj3yoo@uwaterloo.ca>
Date: Thu, 11 Oct 2018 05:12:32 +0000
Subject: [PATCH] Update README.md

---
 README.md |    4 ++--
 1 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 4db278d..eccb883 100644
--- a/README.md
+++ b/README.md
@@ -114,6 +114,6 @@
 
 I've been trying to fiddle with the mask R-CNN using [this repo](https://github.com/matterport/Mask_RCNN)'s implementation, and got to train them with 60 manually labelled image set. The result is not too bad considering such a small dataset was used. However, there was a high FP rate overall (again, probably because of small dataset and the simplistic features of cards).
 
-<img src="https://github.com/hj3yoo/darknet/blob/master/figures/5_rcnn_result_1.jpg" width="360"><img src="https://github.com/hj3yoo/darknet/blob/master/figures/5_rcnn_result_2.jpg" width="360"><img src="https://github.com/hj3yoo/darknet/blob/master/figures/5_rcnn_result_3.jpg" width="360"><img src="https://github.com/hj3yoo/darknet/blob/master/figures/5_rcnn_result_4.jpg" width="360"><img src="https://github.com/hj3yoo/darknet/blob/master/figures/5_rcnn_result_5.jpg" width="360">
+<img src="https://github.com/hj3yoo/mtg_card_detector/blob/master/figures/5_rcnn_result_1.png" width="360"><img src="https://github.com/hj3yoo/mtg_card_detector/blob/master/figures/5_rcnn_result_2.png" width="360"><img src="https://github.com/hj3yoo/mtg_card_detector/blob/master/figures/5_rcnn_result_3.png" width="360"><img src="https://github.com/hj3yoo/mtg_card_detector/blob/master/figures/5_rcnn_result_4.png" width="360"><img src="https://github.com/hj3yoo/mtg_card_detector/blob/master/figures/5_rcnn_result_5.png" width="360">
 
-Although it may be worth to generate large training dataset and train the model more thoroughly, I'm being short on time, as there are other priorities to do. I may revisit this later.
\ No newline at end of file
+Although it may be worth to generate large training dataset and train the model more thoroughly, I'm being short on time, as there are other priorities to do. I may revisit this later. I will be cleaning this repo in the next few days, wrapping it up for now.

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