If the baseline in this project not work for your datasets, you can install in develop mode, and modify the code by your own.Ĭonvert a single json into dataset. You can just use pip3 install labelme2datasets to install this package. I also published a PyPI package named labelme2datasets. # install in non-editable mode, so that you can use the package, but cannot modify it #python setup.py install # (prefer this way!) install in editable mode, so that you can modify the package git clone the package cd labelme2Datasets conda create -name =labelme python = 3.6Ĭlone the repo. Suggested to use virtualenv to install python packages. take a look at test/label_dict.txt for an example. If need class name conversion, prepare a text file to store the conversion rules. take a look at test/label_names.txt for an example. Prepare a text file to store class names in your dataset. In the next steps, we will refer to this folder as labelme_jsons_dir. Gather the labelme-annotated jsons into a folder. ( back to top) Getting Started Prerequisites please take a look at the examples section in labelme. If you want to convert datasets in other areas, like instance segmentation, segmantic segmentation, video annotation, etc. There are some places I annotated MARK, which means pay attention to it, and you could customize it to fit your needs.Ĭustomize: these scripts are only for the conversion of data I currently have. Then I add some features according my own dataset, like class name conversion, customise image name, etc.Īttention: these scripts are not complicated, and if you have the basis of python, please go through the convert workflows, and ensure that it fits your datasets. Most of the scripts refer to the examples section of labelme. Scripts in this repository are used to convert labelme-annotated jsons into standard datasets in PASCAL VOC format or MS COCO format. How to get annotations for instance segmentation? See examples/instance_segmentation.Python scripts to convert labelme-generated-jsons to voc/coco style datasets.How to get annotations for semantic segmentation? See examples/semantic_segmentation.How to load label PNG file? See examples/tutorial.How to convert JSON file to numpy array? See examples/tutorial.Labels are assigned to a single polygon.Flags are assigned to an entire image.When the program is run with this flag, it will display labels in the order that they are provided. Without the -nosortlabels flag, the program will list labels in alphabetical order. If you would prefer to use a config file from another location, you can specify this file with the -config flag. You can edit this file and the changes will be applied the next time that you launch labelme.
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