shuoshuoshuo
/
labelme2yolo
9
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update README.md

This commit is contained in:
rooneysh 2021-08-19 15:35:37 +08:00 committed by GitHub
parent bfbb06a448
commit 1d2931f39b
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 15 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

19
README.md
View File

@ -11,8 +11,8 @@ Convert LabelMe Annotation Tool JSON format to YOLO text file format.
## How to Use ## How to Use
### Convert JSON Files, split training and validation dataset by --val_size ### Convert JSON files, split training and validation dataset by --val_size
Put all LabelMe JSON files in to **labelme_json_dir**, and run this python command. Put all LabelMe JSON files under **labelme_json_dir**, and run this python command.
```bash ```bash
python labelme2yolo.py --json_dir /home/username/labelme_json_dir/ --val_size 0.2 python labelme2yolo.py --json_dir /home/username/labelme_json_dir/ --val_size 0.2
``` ```
@ -24,13 +24,13 @@ Script would generate YOLO format dataset labels and images under different fold
/home/username/labelme_json_dir/YOLODataset/images/val/ /home/username/labelme_json_dir/YOLODataset/images/val/
``` ```
### Convert JSON Files, split training and validation dataset by folder ### Convert JSON files, split training and validation dataset by folder
If you already split train dataset and validation dataset for LabelMe by yourself, please put these folder under labelme_json_dir, for example, If you already split train dataset and validation dataset for LabelMe by yourself, please put these folder under labelme_json_dir, for example,
```bash ```bash
/home/username/labelme_json_dir/train/ /home/username/labelme_json_dir/train/
/home/username/labelme_json_dir/val/ /home/username/labelme_json_dir/val/
``` ```
Put all LabelMe JSON files in to **labelme_json_dir**. Put all LabelMe JSON files under **labelme_json_dir**.
Script would read train and validation dataset by folder. Script would read train and validation dataset by folder.
Run this python command. Run this python command.
```bash ```bash
@ -43,3 +43,14 @@ Script would generate YOLO format dataset labels and images under different fold
/home/username/labelme_json_dir/YOLODataset/images/train/ /home/username/labelme_json_dir/YOLODataset/images/train/
/home/username/labelme_json_dir/YOLODataset/images/val/ /home/username/labelme_json_dir/YOLODataset/images/val/
``` ```
### Convert single JSON file
Put LabelMe JSON file under **labelme_json_dir**. , and run this python command.
```bash
python labelme2yolo.py --json_dir /home/username/labelme_json_dir/ --json_name 2.json
```
Script would generate YOLO format text label and image under **labelme_json_dir**, for example,
```bash
/home/username/labelme_json_dir/2.text
/home/username/labelme_json_dir/2.png
```