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fix : If image_processor is not empty, then use it,same with tokenizer #67

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fix : If image_processor is not empty, then use it,same with tokenizer #67

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5 changes: 3 additions & 2 deletions surya/model/recognition/processor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -194,8 +194,9 @@ def align_long_axis(

class SuryaProcessor(DonutProcessor):
def __init__(self, image_processor=None, tokenizer=None, train=False, **kwargs):
image_processor = SuryaImageProcessor.from_pretrained(settings.RECOGNITION_MODEL_CHECKPOINT)
tokenizer = Byt5LangTokenizer()
# If image_processor is not empty, then use it,same with tokenizer
image_processor = image_processor or SuryaImageProcessor.from_pretrained(settings.RECOGNITION_MODEL_CHECKPOINT)
tokenizer = tokenizer or Byt5LangTokenizer()
if image_processor is None:
raise ValueError("You need to specify an `image_processor`.")
if tokenizer is None:
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