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d5674b2 328d23c d5674b2 328d23c d5674b2 328d23c d5674b2 328d23c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 | ## Environment Setup for data preparation and preprocessing
```bash
pip install -r requirements.txt
```
## CDSI Dataset preparation
For using the VME dataset, both OBB (YOLO) and HBB (MS-COCO) formats are available with the desired splits. VME images and annotations are available at XXX.
In order to build the CDSI dataset, you need to follow the steps below:
1. Download each dataset from its repository:
* xView (https://challenge.xviewdataset.org/)
* DOTA-v2.0 (https://captain-whu.github.io/DOTA/index.html)
* VEDAI (https://downloads.greyc.fr/vedai/)
* DIOR (https://gcheng-nwpu.github.io/)
* FAIR1M-2.0 (http://gaofen-challenge.com/benchmark)
2. Convert each dataset to MS-COCO (JSON) format with original/ car-related + other small objects(car-other)/ car-related (car) setup, utilizing each dataset scripts under main directory:
### Instructions before starting:
a. After installing some datasets, it's recommended to put all images under one directory and all annotations under one directory, to ease the MS-COCO conversion
b. To generate SPLIT_FILE.txt for each setup (original|CDSI_other|CDSI), run this command under each dataset directory (example for car setup):
```bash
grep 'xview' CDSI_train.txt > xview_car_train.txt
SPLIT_FILE == xview_car_train.txt
```
** For DOTA-v2.0: please check ``dota2`` directory
### Converting each dataset to COCO format
Under each dataset directory, DATANAME_to_coco.py script is available to convert the specified dataset
```bash
python DATANAME_to_coco.py IMG_DIR SPLIT_FILE.txt OUT_DIR MODE
```
### Combining train-val-test splits
To combine the train-val-test splits from each dataset to construct CDSI splits, please use the following command/package. The command takes 3 arguments:File1.json File2.json OutputFile.json. T$
```bash
pyodi coco merge SPLIT_A.json SPLIT_B.json SPLIT_A_B.json
```
>[!NOTE]
__The benchmark scripts will be released soon! Stay Tuned!__
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