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| | | 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). |
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| | | <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"> |
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| | | 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. |
| | | 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. |