{"id":20863383,"url":"https://github.com/stupidcucumber/simplecoco","last_synced_at":"2025-10-14T15:33:28.615Z","repository":{"id":222473893,"uuid":"757385694","full_name":"stupidcucumber/SimpleCOCO","owner":"stupidcucumber","description":"Simple dataset creator in COCO-format. 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So you can at first run:\n```\npython -m pip install -r requirements.txt\n```\n\n# Interface\n## CLI\n```\nusage: main.py [-h] [--root ROOT] [--output OUTPUT] [--format FORMAT] [--ttsplit TTSPLIT] [-vw VIEWPORT_WIDTH] [-vh VIEWPORT_HEIGHT] [--image-width IMAGE_WIDTH] [--image-height IMAGE_HEIGHT]\n\noptions:\n  -h, --help            show this help message and exit\n  --root ROOT           Path to the folder with input images.\n  --output OUTPUT       Path to the folder where dataset will be stored.\n  --format FORMAT       Choose between 'standard' and 'tficon' format of COCO dataset.\n  --ttsplit TTSPLIT     Value between 0.0 and 1.0 that sets the size of the train part.\n  -vw VIEWPORT_WIDTH, --viewport-width VIEWPORT_WIDTH\n                        Width of the viewport window.\n  -vh VIEWPORT_HEIGHT, --viewport-height VIEWPORT_HEIGHT\n                        Height of the viewport window.\n  --image-width IMAGE_WIDTH\n                        Width of the image to save. If None than the width will not change.\n  --image-height IMAGE_HEIGHT\n                        Height of the image to save. If None than the height will not change.\n```\n\nThe example usage of the tool is:\n```\npython main.py --root example/inputs --output output\n```\n\nYou should get the same output as in the example/output folder.\n\n## Keyboard\n- For saving current state of the labelling press 's'. \n- Moving to the next image 'n'.\n- Back to the previous image 'p'.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstupidcucumber%2Fsimplecoco","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstupidcucumber%2Fsimplecoco","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstupidcucumber%2Fsimplecoco/lists"}