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https://github.com/modelscope/FunASR
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Merge pull request #55 from alibaba-damo-academy/dev
fix infer_after_finetune.py
This commit is contained in:
commit
c1dafa8367
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../tranformer/utils
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../transformer/utils/
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../../aishell/tranformer/utils
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../transformer/utils/
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../tranformer/utils
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../transformer/utils/
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../tranformer/utils
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../transformer/utils/
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../../aishell/tranformer/utils
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../transformer/utils/
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../../aishell/tranformer/utils
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../transformer/utils/
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../../aishell/tranformer/utils
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../transformer/utils/
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../../aishell/tranformer/utils
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../../aishell/transformer/utils
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@ -37,7 +37,7 @@ def modelscope_infer_after_finetune(params):
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# computer CER if GT text is set
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# computer CER if GT text is set
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text_in = os.path.join(params["data_dir"], "text")
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text_in = os.path.join(params["data_dir"], "text")
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if text_in is not None:
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if os.path.exists(text_in):
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text_proc_file = os.path.join(decoding_path, "1best_recog/token")
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text_proc_file = os.path.join(decoding_path, "1best_recog/token")
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compute_wer(text_in, text_proc_file, os.path.join(decoding_path, "text.cer"))
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compute_wer(text_in, text_proc_file, os.path.join(decoding_path, "text.cer"))
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@ -38,7 +38,7 @@ def modelscope_infer_after_finetune(params):
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# computer CER if GT text is set
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# computer CER if GT text is set
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text_in = os.path.join(params["data_dir"], "text")
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text_in = os.path.join(params["data_dir"], "text")
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if text_in is not None:
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if os.path.exists(text_in):
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text_proc_file = os.path.join(decoding_path, "1best_recog/token")
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text_proc_file = os.path.join(decoding_path, "1best_recog/token")
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compute_wer(text_in, text_proc_file, os.path.join(decoding_path, "text.cer"))
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compute_wer(text_in, text_proc_file, os.path.join(decoding_path, "text.cer"))
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@ -38,7 +38,7 @@ def modelscope_infer_after_finetune(params):
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# computer CER if GT text is set
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# computer CER if GT text is set
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text_in = os.path.join(params["data_dir"], "text")
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text_in = os.path.join(params["data_dir"], "text")
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if text_in is not None:
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if os.path.exists(text_in):
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text_proc_file = os.path.join(decoding_path, "1best_recog/token")
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text_proc_file = os.path.join(decoding_path, "1best_recog/token")
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compute_wer(text_in, text_proc_file, os.path.join(decoding_path, "text.cer"))
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compute_wer(text_in, text_proc_file, os.path.join(decoding_path, "text.cer"))
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@ -38,7 +38,7 @@ def modelscope_infer_after_finetune(params):
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# computer CER if GT text is set
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# computer CER if GT text is set
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text_in = os.path.join(params["data_dir"], "text")
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text_in = os.path.join(params["data_dir"], "text")
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if text_in is not None:
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if os.path.exists(text_in):
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text_proc_file = os.path.join(decoding_path, "1best_recog/token")
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text_proc_file = os.path.join(decoding_path, "1best_recog/token")
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compute_wer(text_in, text_proc_file, os.path.join(decoding_path, "text.cer"))
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compute_wer(text_in, text_proc_file, os.path.join(decoding_path, "text.cer"))
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@ -38,7 +38,7 @@ def modelscope_infer_after_finetune(params):
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# computer CER if GT text is set
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# computer CER if GT text is set
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text_in = os.path.join(params["data_dir"], "text")
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text_in = os.path.join(params["data_dir"], "text")
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if text_in is not None:
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if os.path.exists(text_in):
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text_proc_file = os.path.join(decoding_path, "1best_recog/token")
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text_proc_file = os.path.join(decoding_path, "1best_recog/token")
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compute_wer(text_in, text_proc_file, os.path.join(decoding_path, "text.cer"))
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compute_wer(text_in, text_proc_file, os.path.join(decoding_path, "text.cer"))
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