Kaggle airbus ship detection challenge 21st solution
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This project is for Kaggle competiton Airbus Ship Detection Challenge.
It can help you quickly get a baseline solution, which is not bad.
airbus ├─0_rle_to_coco 0、turn rle to coco │ └─pycococreatortools | ├─1_detectron_infer 1、files needed to be changed in detectron | ├─dataset_catalog.py # ./detectron/datasets/dataset_catalog.py │ ├─dummy_datasets.py # ./detectron/datasets/dummy_datasets.py │ └─infer_airbus.py # ./tools/infer_simple.py | ├─2_model 2、model and trainning log │ ├─log log and visualization script │ └─model configure file and .pkl (.pkl not be uploaded) | └─3_submit 3、generate your submission └─csv reference .csv file
Run codes in
./0_rle_to_coco. The guide has been written in markdwon file
My codes are based on Detectron. So before using it, you need to install caffe2, which is quite troublesome. You can use my docker image, which is a little out of date, by the following command:
$ docker pull pascal1129/detectron:caffe2_cuda9_aliyun
In order to get the latest docker image, you can build the latest image with the official dockerfile: Detectron/docker/Dockerfile.
My codes are in the folder
./1_detectron_infer/, you can replace the origin files in detectron with my codes.
|origin code needed to be replaced|
Confirm the .yaml file in
./2_model/model/and start training. In addition, remember to use
|teecommand, so you can get the log file like ./2_model/log/20181103.log
./2_model/analyse_log.py, then you can get the visualization picture.