add license

Author: trangle1302

README.md

@@ -3,8 +3,13 @@ Analysis for Kaggle Human Protein Atlas Single Cell Classification challenge
 
 This repo is for analysis of the [HPA Single Cell Classification](https://www.kaggle.com/c/hpa-single-cell-image-classification) results. 
 
+## Content
 This includes 
 * Average Precision scores for each class and Jaccard index (IOU) of each submission at per cell level in `class_scoring` and `segmentation_matching`. This is scored using Tensorflow Object Detection API under Apache license. Specifically, scoring is done with [oid_hpasc_challenge_evaluation.py](models/research/object_detection/metrics/oid_hpasc_challenge_evaluation.py) and [oid_hpasc_challenge_evaluation_test.py](models/research/object_detection/metrics/oid_hpasc_challenge_evaluation_test.py) for testing.
 * Analysis scripts as described in the manuscript in `analysis`
 * Winner solution (`team1_bestfitting`) including model and analysis code provided by Shubin Dai (bestfitting) and modified by Trang Le for analysis and prediction.
 * `plot` contains plotting this competition's metadata obtained from [Meta Kaggle](https://www.kaggle.com/kaggle/meta-kaggle).
+
+## License
+[MIT License](https://opensource.org/licenses/MIT)
+[Apache License 2.0](models/LICENSE)