Mercurial > repos > imgteam > plantseg
diff create-config.py @ 0:e59c0e930b1f draft default tip
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/plantseg/ commit 842fb4a9435114d06329e2cdfaeb8ed8d8479681
author | imgteam |
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date | Wed, 26 Jun 2024 08:03:08 +0000 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/create-config.py Wed Jun 26 08:03:08 2024 +0000 @@ -0,0 +1,58 @@ +import argparse +import json + +import yaml + + +# This script genereates the config file required by PlantSeg. +# For an overview of the config fields, see: +# https://github.com/kreshuklab/plant-seg/blob/master/examples/config.yaml + + +def listify(d, k, sep=',', dtype=float): + if k not in d: + return + d[k] = [dtype(token.strip()) for token in str(d[k]).split(sep)] + + +if __name__ == '__main__': + + parser = argparse.ArgumentParser() + parser.add_argument('--inputs', type=str, help='Path to the inputs file', required=True) + parser.add_argument('--config', type=str, help='Path to the config file', required=True) + parser.add_argument('--img_in', type=str, help='Path to the input image', required=True) + parser.add_argument('--workers', type=int, default=1) + args = parser.parse_args() + + with open(args.inputs, 'r') as fp: + inputs = json.load(fp) + + # Set configuration options from the tool wrapper + cfg = dict(path=args.img_in) + for section_name in ( + 'preprocessing', + 'cnn_prediction', + 'cnn_postprocessing', + 'segmentation', + 'segmentation_postprocessing', + ): + cfg[section_name] = inputs[section_name] + + # Set additional required configuration options + cfg['preprocessing']['save_directory'] = 'PreProcessing' + cfg['preprocessing']['crop_volume'] = '[:,:,:]' + cfg['preprocessing']['filter'] = dict(state=False, type='gaussian', filter_param=1.0) + + cfg['cnn_prediction']['device'] = 'cuda' + cfg['cnn_prediction']['num_workers'] = args.workers + cfg['cnn_prediction']['model_update'] = False + + cfg['segmentation']['name'] = 'MultiCut' + cfg['segmentation']['save_directory'] = 'MultiCut' + + # Parse lists of values encoded as strings as actual lists of values + listify(cfg['preprocessing'], 'factor') + listify(cfg['cnn_prediction'], 'patch') + + with open(args.config, 'w') as fp: + fp.write(yaml.dump(cfg))