fix score is nan
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@ -122,9 +122,9 @@ class TextRecognizer(object):
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ind = np.argmax(probs, axis=1)
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blank = probs.shape[1]
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valid_ind = np.where(ind != (blank - 1))[0]
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score = np.mean(probs[valid_ind, ind[valid_ind]])
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if len(valid_ind) == 0:
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continue
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score = np.mean(probs[valid_ind, ind[valid_ind]])
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# rec_res.append([preds_text, score])
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rec_res[indices[beg_img_no + rno]] = [preds_text, score]
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else:
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