From 12df856ba504a825d3a1fadf0887b3f141e796fc Mon Sep 17 00:00:00 2001 From: pascal1129 Date: Thu, 29 Nov 2018 14:36:55 +0800 Subject: [PATCH] modify --- README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 5f2006d..fa7b4ba 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ ## Kaggle Airbus Ship Detection Challenge : 21st solution -This project is for Kaggle competiton [Airbus Ship Detection Challenge](https://www.kaggle.com/c/airbus-ship-detection)。 +This project is for Kaggle competiton [Airbus Ship Detection Challenge](https://www.kaggle.com/c/airbus-ship-detection) It can help you quickly get a **baseline solution**, which is not bad. @@ -49,7 +49,7 @@ It can help you quickly get a **baseline solution**, which is not bad. #### 1、Generate COCO standard dataset -Run codes in [./0_rle_to_coco](https://github.com/pascal1129/airbus_ship_detection/tree/master/0_rle_to_coco). The dependence and guide has been written in [./0_rle_to_coco/README.md](https://github.com/pascal1129/airbus_ship_detection/blob/master/0_rle_to_coco/README.md) +Run codes in `./0_rle_to_coco`. The guide has been written in `./0_rle_to_coco/README.md` ![dataset annotation](https://s1.ax1x.com/2018/10/31/iWlN8A.png) @@ -69,19 +69,19 @@ Or you can build the official dockerfile: [Detectron/docker/Dockerfile](https:/ #### 3、Msodify the source code in detectron -My codes are in the folder [./1_detectron_infer/](https://github.com/pascal1129/airbus_ship_detection/tree/master/1_detectron_infer), you can replace the origin files in detectron with my codes. +My codes are in the folder `./1_detectron_infer/`, you can replace the origin files in detectron with my codes. #### 4、Change the configuration file and run - Confirm the .yaml file in `./2_model/model` and start training. In addition, remember to use `|tee` command, so you can get the log file like [./2_model/log/20181103.log](https://github.com/pascal1129/airbus_ship_detection/blob/master/2_model/log/20181103.log). + Confirm the .yaml file in `./2_model/model/` and start training. In addition, remember to use `|tee` command, so you can get the log file like [./2_model/log/20181103.log](https://github.com/pascal1129/airbus_ship_detection/blob/master/2_model/log/20181103.log) #### 5、Visualization -Run [analyse_log.py](https://github.com/pascal1129/airbus_ship_detection/blob/master/2_model/analyse_log.py), then you can get the visualization picture. +Run `./2_model/analyse_log.py`, then you can get the visualization picture. ![result](https://github.com/pascal1129/airbus_ship_detection/blob/master/2_model/log/20181103.png) @@ -90,5 +90,5 @@ Run [analyse_log.py](https://github.com/pascal1129/airbus_ship_detection/blob/ma #### 6、Get the final submission -Run [get_final_csv.py](https://github.com/pascal1129/airbus_ship_detection/blob/master/3_submit/get_final_csv.py) +Run `./3_submit/get_final_csv.py`