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73a139fa82b9fc8f7c03b66ab3c3dc9e959e8c1f4d95b2da09b4e50529e76b04  det.bpk
3ac018be6f97499a08faa3bbdeb33640968d9307f6736d152902747a9f259593  det_inference.yml
f74ec758df06b1f77cde82a44bc840cbb39f8b7cf1573f373ea052a1e8d93ae6  det_pads.onnx
c5cbe34ef40c29c4df07ed012bf96569cb69a2d2a01a07027e9f13cb832bd9cd  dict.txt
d702db72e96273fe20d2e154fe2e6085d8445999d7414fb5f300e7a387474364  fix_onnx.py
5ff9e78345e9e510d5dcef683419a192eda100c481d17d9c245693b634ebdfa6  ppocr_ref.py
53bfcb22a068cc6991f2b8b3ba0782a1aac3c54c16895ae7138eb4e755169436  rec.bpk
66170210bad538e83fff3c4a3867e547d6bf20b50d64b20347c4b913f3034ea1  rec_inference.yml
9ef676d6ed3c88256a2d92c640c44f25b0c40947e111b14b8be8f594091563e6  rec_pads.onnx