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1972998383 avatar 1972998383 commented on June 14, 2024 1

Thank you for your patience,I have solve the problem

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1972998383 avatar 1972998383 commented on June 14, 2024

usage: map_dataset.py [-h] [--bboxes BBOXES] [--labelids LABELIDS]
[--dataset_source DATASET_SOURCE] --dataset_target
DATASET_TARGET
map_dataset.py: error: the following arguments are required: --dataset_target
请问def parse_arguments():
parser = argparse.ArgumentParser(description='map annotated classes between datasets')
parser.add_argument('--bboxes', type=str, default='../data/bboxes',
help='directory for input and output bounding-box annotations as csv files in sub-directories '
'for each target_dataset variant')
parser.add_argument('--labelids', type=str, default='../data/labelIds',
help='source directory for input and output semantic masks as single-channel png images '
'in sub-directories for each target_dataset variant')
parser.add_argument('--dataset_source', type=str, default='CropAndWeed', help='name of source target_dataset')
parser.add_argument('--dataset_target', type=str, default='target_dataset', required=True, help='name of target target_dataset')
return parser.parse_args()能否举个例子

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1972998383 avatar 1972998383 commented on June 14, 2024

除了在github上下载的代码和setup.py下载数据集,还要下载什么才能跑这个实验

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steiningerd avatar steiningerd commented on June 14, 2024

As indicated by the error message, you have to set the argument '--dataset_target'. For a usage example and further information please see section "Dataset Variants" in the Readme.

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1972998383 avatar 1972998383 commented on June 14, 2024

Thankyou,我是一个新手,请问自述文件中的“数据集变体”中预定义的变体 CropsOrWeed9是需要自己新建一个名为 CropsOrWeed9的空文件夹吗

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steiningerd avatar steiningerd commented on June 14, 2024

All required directories should be created automatically.

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1972998383 avatar 1972998383 commented on June 14, 2024

def parse_arguments():
parser = argparse.ArgumentParser(description='map annotated classes between datasets')
parser.add_argument('--bboxes', type=str, default='../data/bboxes',
help='directory for input and output bounding-box annotations as csv files in sub-directories '
'for each target_dataset variant')
parser.add_argument('--labelids', type=str, default='../data/labelIds',
help='source directory for input and output semantic masks as single-channel png images '
'in sub-directories for each target_dataset variant')
parser.add_argument('--dataset_source', type=str, default='CropAndWeed', help='name of source target_dataset')
parser.add_argument('--dataset_target', type=str, default='CropOrWeed9', required=True, help='name of target target_dataset')
return parser.parse_args()
这里你可以展示你是怎么设置参数的吗,谢谢

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steiningerd avatar steiningerd commented on June 14, 2024

You don't have to change the source code and I would recommend to download the original script again. Just add --dataset_target CropOrWeed9 when calling the script.

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1972998383 avatar 1972998383 commented on June 14, 2024

是的,我重新下载了脚本,只是添加了parser.add_argument('--dataset_target', type=str, default='CropOrWeed9', required=True, help='name of target dataset')
但是还是报错map_dataset.py: error: the following arguments are required: --dataset_target

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steiningerd avatar steiningerd commented on June 14, 2024

You don't have to edit the source code - just call the script like the example in the Readme.

map_dataset.py --dataset_target CropsOrWeed9

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