From d6c5d9394a088062c834f4d35d94d46c980ea6e0 Mon Sep 17 00:00:00 2001
From: shixian.shi <shixian.shi@alibaba-inc.com>
Date: 星期五, 03 三月 2023 11:03:43 +0800
Subject: [PATCH] update timestamp and add ploter
---
funasr/runtime/python/onnxruntime/rapid_paraformer/paraformer_onnx.py | 25 +++++++++++++++++++++++--
1 files changed, 23 insertions(+), 2 deletions(-)
diff --git a/funasr/runtime/python/onnxruntime/rapid_paraformer/paraformer_onnx.py b/funasr/runtime/python/onnxruntime/rapid_paraformer/paraformer_onnx.py
index 9b8a67b..ec9b406 100644
--- a/funasr/runtime/python/onnxruntime/rapid_paraformer/paraformer_onnx.py
+++ b/funasr/runtime/python/onnxruntime/rapid_paraformer/paraformer_onnx.py
@@ -1,6 +1,7 @@
# -*- encoding: utf-8 -*-
# @Author: SWHL
# @Contact: liekkaskono@163.com
+from cgitb import text
import os.path
from pathlib import Path
from typing import List, Union, Tuple
@@ -23,6 +24,7 @@
def __init__(self, model_dir: Union[str, Path] = None,
batch_size: int = 1,
device_id: Union[str, int] = "-1",
+ plot_timestamp: bool = True,
):
if not Path(model_dir).exists():
@@ -41,7 +43,7 @@
)
self.ort_infer = OrtInferSession(model_file, device_id)
self.batch_size = batch_size
- self.plot = True
+ self.plot = plot_timestamp
def __call__(self, wav_content: Union[str, np.ndarray, List[str]], **kwargs) -> List:
waveform_list = self.load_data(wav_content, self.frontend.opts.frame_opts.samp_freq)
@@ -76,7 +78,26 @@
def plot_wave_timestamp(self, wav, text_timestamp):
# TODO: Plot the wav and timestamp results with matplotlib
- import pdb; pdb.set_trace()
+ import matplotlib
+ matplotlib.use('Agg')
+ matplotlib.rc("font", family='Alibaba PuHuiTi') # set it to a font that your system supports
+ import matplotlib.pyplot as plt
+ fig, ax1 = plt.subplots(figsize=(11, 3.5), dpi=320)
+ ax2 = ax1.twinx()
+ ax2.set_ylim([0, 2.0])
+ # plot waveform
+ ax1.set_ylim([-0.3, 0.3])
+ time = np.arange(wav.shape[0]) / 16000
+ ax1.plot(time, wav/wav.max()*0.3, color='gray', alpha=0.4)
+ # plot lines and text
+ for (char, start, end) in text_timestamp:
+ ax1.vlines(start, -0.3, 0.3, ls='--')
+ ax1.vlines(end, -0.3, 0.3, ls='--')
+ x_adj = 0.045 if char != '<sil>' else 0.12
+ ax1.text((start + end) * 0.5 - x_adj, 0, char)
+ # plt.legend()
+ plotname = "debug.png"
+ plt.savefig(plotname, bbox_inches='tight')
def load_data(self,
wav_content: Union[str, np.ndarray, List[str]], fs: int = None) -> List:
--
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