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I have renamed calib folders (found under training and testing folders) to label_2 and I have created the train.txt like it was instructed. The first lines of train.txt are the following:
um_000000
um_000001
um_000002
um_000003
um_000004
um_000005
um_000006
um_000007
When I convert it I get the following validation error:
INFO:root:Namespace(filter_images_without_labels=False, from_key='kitti', from_path='./Kitti/data_road', select_only_known_labels=False, to_key='voc', to_path='./Kitti-voc')
Traceback (most recent call last):
File "/home/bm-pc/Documents/Thesis/vod-converter-master/vod_converter/converter.py", line 147, in validate_image_detections
validate_schema(image_detection, IMAGE_DETECTION_SCHEMA)
File "/home/bm-pc/Documents/Thesis/vod-converter-master/vod_converter/converter.py", line 22, in validate_schema
return raw_validate(data, schema, types={"array": (list, tuple)})
File "/home/bm-pc/.local/lib/python3.6/site-packages/jsonschema/validators.py", line 541, in validate
cls(schema, *args, **kwargs).validate(instance)
File "/home/bm-pc/.local/lib/python3.6/site-packages/jsonschema/validators.py", line 130, in validate
raise error
jsonschema.exceptions.ValidationError: -387.5744 is less than the minimum of 0
Failed validating 'minimum' in schema['properties']['detections']['items']['properties']['left']:
{'minimum': 0, 'type': 'number'}
On instance['detections'][1]['left']:
-387.5744
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "../vod-converter-master/vod_converter/main.py", line 92, in
filter_images_without_labels=args.filter_images_without_labels))
File "../vod-converter-master/vod_converter/main.py", line 40, in main
filter_images_without_labels=filter_images_without_labels)
File "/home/bm-pc/Documents/Thesis/vod-converter-master/vod_converter/converter.py", line 134, in convert
validate_image_detections(image_detections)
File "/home/bm-pc/Documents/Thesis/vod-converter-master/vod_converter/converter.py", line 149, in validate_image_detections
raise Exception(f"at index {i}") from se
Exception: at index 0
Could you tell me please what did I miss or this converter is intended to be used only with these Kitti datasets:
I am trying to convert this Kitti Road/Lane Detection Evaluation 2013 to Pascal voc like dataset.
I have renamed calib folders (found under training and testing folders) to label_2 and I have created the train.txt like it was instructed. The first lines of train.txt are the following:
um_000000
um_000001
um_000002
um_000003
um_000004
um_000005
um_000006
um_000007
When I convert it I get the following validation error:
INFO:root:Namespace(filter_images_without_labels=False, from_key='kitti', from_path='./Kitti/data_road', select_only_known_labels=False, to_key='voc', to_path='./Kitti-voc')
Traceback (most recent call last):
File "/home/bm-pc/Documents/Thesis/vod-converter-master/vod_converter/converter.py", line 147, in validate_image_detections
validate_schema(image_detection, IMAGE_DETECTION_SCHEMA)
File "/home/bm-pc/Documents/Thesis/vod-converter-master/vod_converter/converter.py", line 22, in validate_schema
return raw_validate(data, schema, types={"array": (list, tuple)})
File "/home/bm-pc/.local/lib/python3.6/site-packages/jsonschema/validators.py", line 541, in validate
cls(schema, *args, **kwargs).validate(instance)
File "/home/bm-pc/.local/lib/python3.6/site-packages/jsonschema/validators.py", line 130, in validate
raise error
jsonschema.exceptions.ValidationError: -387.5744 is less than the minimum of 0
Failed validating 'minimum' in schema['properties']['detections']['items']['properties']['left']:
{'minimum': 0, 'type': 'number'}
On instance['detections'][1]['left']:
-387.5744
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "../vod-converter-master/vod_converter/main.py", line 92, in
filter_images_without_labels=args.filter_images_without_labels))
File "../vod-converter-master/vod_converter/main.py", line 40, in main
filter_images_without_labels=filter_images_without_labels)
File "/home/bm-pc/Documents/Thesis/vod-converter-master/vod_converter/converter.py", line 134, in convert
validate_image_detections(image_detections)
File "/home/bm-pc/Documents/Thesis/vod-converter-master/vod_converter/converter.py", line 149, in validate_image_detections
raise Exception(f"at index {i}") from se
Exception: at index 0
Could you tell me please what did I miss or this converter is intended to be used only with these Kitti datasets:
Thank you.
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