labels.txt not able to read the label 'car'

Provide environment information

python labelme2voc.py /home/amodpatil/semantic_dataset/segmentation /home/amodpatil/semantic_dataset/am --labels /home/amodpatil/pytorch-segmentation/datasets/labels.txt Creating dataset: /home/amodpatil/semantic_dataset/am Generating dataset from: /home/amodpatil/semantic_dataset/segmentation/left2306.json Label name to value dictionary: {'vegetation': 1, 'traffic-light': 2, 'road': 3, 'sidewalk': 4, 'parking': 5, 'building': 6} Shapes: [{'label': 'sidewalk', 'points': [[586.0, 413.5], [552.0, 412.5], [551.0, 411.5], [547.0, 411.5], [546.0, 410.5], [533.0, 410.5], [532.0, 409.5], [512.0, 408.5], [509.0, 406.5], [507.0, 407.5], [506.0, 406.5], [492.0, 406.5], [491.0, 405.5], [482.0, 405.5], [481.0, 404.5], [477.0, 403.5], [475.5, 402.0], [475.5, 399.0], [481.5, 394.0], [481.5, 392.0], [480.5, 391.0], [481.5, 386.0], [480.5, 384.0], [476.5, 381.0], [473.5, 375.0], [473.5, 372.0], [471.5, 368.0], [470.5, 361.0], [469.5, 360.0], [469.5, 354.0], [467.5, 350.0], [467.5, 342.0], [466.5, 341.0], [466.5, 338.0], [463.0, 333.5], [461.0, 333.5], [458.5, 332.0], [456.5, 330.0], [456.5, 328.0], [460.0, 326.5], [475.0, 326.5], [476.0, 327.5], [487.0, 327.5], [488.0, 328.5], [511.0, 328.5], [512.0, 329.5], [525.0, 329.5], [526.0, 328.5], [535.0, 328.5], [536.0, 327.5], [542.0, 327.5], [543.0, 328.5], [545.0, 328.5], [546.0, 327.5], [553.0, 327.5], [554.0, 328.5], [556.0, 327.5], [559.0, 327.5], [560.0, 328.5], [575.0, 329.5], [575.0, 331.5], [577.0, 331.5], [578.0, 332.5], [583.0, 332.5], [639.0, 332.70833333333337], [639.0, 338.95833333333337], [639.0, 347.2916666666667], [639.0, 363.95833333333337], [639.0, 372.2916666666667], [639.0, 368.12500000000006], [639.0, 386.0416666666667], [639.0, 383.5416666666667], [639.0, 393.95833333333337], [639.0, 405.62500000000006], [637.2916666666666, 419.37500000000006], [617.7083333333334, 419.7916666666667], [589.5, 412.0]], 'shape_type': 'polygon', 'flags': {}, 'description': '', 'group_id': None, 'mask': None, 'other_data': {}}, {'label': 'sidewalk', 'points': [[412.0, 393.5], [391.0, 393.5], [390.0, 392.5], [379.0, 392.5], [378.0, 391.5], [371.0, 391.5], [370.0, 390.5], [362.0, 390.5], [361.0, 389.5], [347.0, 389.5], [346.0, 388.5], [337.0, 388.5], [336.0, 387.5], [325.0, 387.5], [324.0, 386.5], [281.0, 385.5], [280.0, 384.5], [272.0, 383.5], [270.0, 381.5], [267.0, 381.5], [265.5, 380.0], [269.0, 378.5], [269.5, 377.0], [275.0, 372.5], [277.0, 372.5], [291.0, 365.5], [293.0, 365.5], [295.0, 363.5], [302.0, 362.5], [305.0, 359.5], [307.0, 358.5], [310.0, 358.5], [315.0, 355.5], [317.0, 355.5], [325.0, 350.5], [328.0, 350.5], [329.0, 349.5], [332.0, 349.5], [335.0, 347.5], [337.0, 347.5], [340.0, 344.5], [349.0, 340.5], [354.0, 336.5], [362.0, 336.5], [363.0, 335.5], [368.0, 334.5], [371.0, 332.5], [373.0, 332.5], [376.0, 330.5], [378.0, 330.5], [381.0, 328.5], [383.0, 328.5], [384.0, 327.5], [389.0, 327.5], [396.0, 333.5], [401.0, 335.5], [402.5, 337.0], [403.5, 343.0], [404.5, 344.0], [402.5, 347.0], [402.5, 365.0], [403.5, 366.0], [404.5, 372.0], [406.5, 375.0], [406.5, 377.0], [409.5, 384.0], [409.5, 390.0], [412.5, 392.0]], 'shape_type': 'polygon', 'flags': {}, 'description': '', 'group_id': None, 'mask': None, 'other_data': {}}, {'label': 'road', 'points': [[521.0, 479.0], [506.0, 475.5], [502.0, 467.5], [499.5, 469.0], [502.5, 476.0], [496.0, 476.5], [493.5, 461.0], [463.0, 433.5], [452.0, 438.5], [449.0, 432.5], [442.0, 434.5], [439.0, 430.5], [410.5, 429.0], [440.0, 426.5], [399.0, 423.5], [324.0, 427.5], [283.0, 433.5], [285.0, 437.5], [281.0, 437.5], [279.0, 432.5], [274.5, 434.0], [277.5, 436.0], [275.0, 437.5], [241.0, 432.5], [179.0, 434.5], [136.0, 444.5], [69.0, 448.5], [1.0, 465.5], [0.5, 365.0], [9.0, 360.5], [11.0, 366.5], [21.0, 369.5], [104.0, 368.5], [105.0, 371.5], [82.0, 369.5], [80.5, 373.0], [112.0, 377.5], [140.0, 377.5], [144.0, 372.5], [159.0, 371.5], [160.5, 376.0], [155.5, 380.0], [158.0, 381.5], [217.0, 386.5], [229.0, 381.5], [248.0, 380.5], [249.0, 377.5], [253.0, 380.5], [254.0, 376.5], [256.0, 382.5], [272.0, 381.5], [282.0, 386.5], [310.0, 387.5], [312.0, 390.5], [389.0, 394.5], [421.0, 398.5], [422.0, 401.5], [479.0, 406.5], [481.0, 410.5], [553.0, 413.5], [549.5, 417.0], [559.0, 417.5], [561.0, 421.5], [611.0, 420.5], [620.5, 422.0], [615.0, 425.5], [635.5, 427.0], [620.0, 428.5], [619.0, 431.5], [616.0, 428.5], [597.0, 431.5], [594.0, 428.5], [590.0, 431.5], [584.0, 428.5], [577.0, 431.5], [572.0, 427.5], [548.0, 431.5], [541.0, 428.5], [540.0, 431.5], [521.0, 431.5], [519.0, 434.5], [512.0, 430.5], [509.5, 440.0], [502.0, 438.5], [499.0, 446.5], [492.0, 439.5], [490.5, 450.0], [502.0, 461.5], [514.0, 466.5], [520.5, 462.0]], 'shape_type': 'polygon', 'flags': {}, 'description': '', 'group_id': None, 'mask': None, 'other_data': {}}, {'label': 'car', 'points': [[276.0, 356.5], [259.0, 356.5], [251.0, 348.5], [238.0, 348.5], [237.0, 347.5], [231.0, 348.5], [229.0, 346.5], [226.0, 346.5], [224.0, 348.5], [222.0, 346.5], [217.0, 345.5], 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'mask': None, 'otherdata': {}}] Traceback (most recent call last): File "/home/amodpatil/pytorch-segmentation/labelme2voc.py", line 103, in main() File "/home/amodpatil/pytorch-segmentation/labelme2voc.py", line 83, in main lbl, = labelme.utils.shapes_to_label( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/amodpatil/miniconda3/lib/python3.12/site-packages/labelme/utils/shape.py", line 68, in shapes_to_label cls_id = label_name_to_value[cls_name]


KeyError: 'car'

### What OS are you using?

Ubuntu 20.04

### Describe the Bug

python labelme2voc.py /home/amodpatil/semantic_dataset/segmentation /home/amodpatil/semantic_dataset/am --labels /home/amodpatil/pytorch-segmentation/datasets/labels.txt
Creating dataset: /home/amodpatil/semantic_dataset/am
Generating dataset from: /home/amodpatil/semantic_dataset/segmentation/left2306.json
Label name to value dictionary: {'vegetation': 1, 'traffic-light': 2, 'road': 3, 'sidewalk': 4, 'parking': 5, 'building': 6}
Shapes: [{'label': 'sidewalk', 'points': [[586.0, 413.5], [552.0, 412.5], [551.0, 411.5], [547.0, 411.5], [546.0, 410.5], [533.0, 410.5], [532.0, 409.5], [512.0, 408.5], [509.0, 406.5], [507.0, 407.5], [506.0, 406.5], [492.0, 406.5], [491.0, 405.5], [482.0, 405.5], [481.0, 404.5], [477.0, 403.5], [475.5, 402.0], [475.5, 399.0], [481.5, 394.0], [481.5, 392.0], [480.5, 391.0], [481.5, 386.0], [480.5, 384.0], [476.5, 381.0], [473.5, 375.0], [473.5, 372.0], [471.5, 368.0], [470.5, 361.0], [469.5, 360.0], [469.5, 354.0], [467.5, 350.0], [467.5, 342.0], [466.5, 341.0], [466.5, 338.0], [463.0, 333.5], [461.0, 333.5], [458.5, 332.0], [456.5, 330.0], [456.5, 328.0], [460.0, 326.5], [475.0, 326.5], [476.0, 327.5], [487.0, 327.5], [488.0, 328.5], [511.0, 328.5], [512.0, 329.5], [525.0, 329.5], [526.0, 328.5], [535.0, 328.5], [536.0, 327.5], [542.0, 327.5], [543.0, 328.5], [545.0, 328.5], [546.0, 327.5], [553.0, 327.5], [554.0, 328.5], [556.0, 327.5], [559.0, 327.5], [560.0, 328.5], [575.0, 329.5], [575.0, 331.5], [577.0, 331.5], [578.0, 332.5], [583.0, 332.5], [639.0, 332.70833333333337], [639.0, 338.95833333333337], [639.0, 347.2916666666667], [639.0, 363.95833333333337], [639.0, 372.2916666666667], [639.0, 368.12500000000006], [639.0, 386.0416666666667], [639.0, 383.5416666666667], [639.0, 393.95833333333337], [639.0, 405.62500000000006], [637.2916666666666, 419.37500000000006], [617.7083333333334, 419.7916666666667], [589.5, 412.0]], 'shape_type': 'polygon', 'flags': {}, 'description': '', 'group_id': None, 'mask': None, 'other_data': {}}, {'label': 'sidewalk', 'points': [[412.0, 393.5], [391.0, 393.5], [390.0, 392.5], [379.0, 392.5], [378.0, 391.5], [371.0, 391.5], [370.0, 390.5], [362.0, 390.5], [361.0, 389.5], [347.0, 389.5], [346.0, 388.5], [337.0, 388.5], [336.0, 387.5], [325.0, 387.5], [324.0, 386.5], [281.0, 385.5], [280.0, 384.5], [272.0, 383.5], [270.0, 381.5], [267.0, 381.5], [265.5, 380.0], [269.0, 378.5], [269.5, 377.0], [275.0, 372.5], [277.0, 372.5], 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Traceback (most recent call last):
  File "/home/amodpatil/pytorch-segmentation/labelme2voc.py", line 103, in <module>
    main()
  File "/home/amodpatil/pytorch-segmentation/labelme2voc.py", line 83, in main
    lbl, _ = labelme.utils.shapes_to_label(
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/amodpatil/miniconda3/lib/python3.12/site-packages/labelme/utils/shape.py", line 68, in shapes_to_label
    cls_id = label_name_to_value[cls_name]
             ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^
KeyError: 'car'

### Expected Behavior

not providing an output

### To Reproduce

It should the labels.txt with all the labels in it

wkentaro / labelme

labels.txt not able to read the label 'car' #1448

Provide environment information