SAIFIINDUSTRIES's picture
Add Batch 5 with 10 repos
387c3d6 verified
Raw History Blame Contribute Delete
3.78 kB
# 文件名: waveform_widget.py
# (已添加增益/灵敏度控制)
import numpy as np
from PyQt6.QtWidgets import QWidget
from PyQt6.QtGui import QPainter, QColor, QPen, QBrush, QPixmap
from PyQt6.QtCore import Qt, pyqtSlot, QSize
class WaveformWidget(QWidget):
"""
一个简单的窗口部件,用于使用 NumPy 实时绘制音频波形图。
"""
def __init__(self, parent=None):
super().__init__(parent)
self.setMinimumSize(200, 100)
self.pen = QPen(QColor("#a6e22e")) # 亮绿色
self.pen.setWidth(1)
self.brush = QBrush(QColor("#272822")) # 深色背景
self.buffer = np.array([])
# --- [!! 可调参数 !!] ---
#
# 调整这个值来改变灵敏度
# 1.0 = 无增益
# 5.0 = 放大 5 倍
#
self.gain = 5.0
# --- [!! 结束可调参数 !!] ---
# 预先创建一个 Pixmap 作为绘图缓冲区,以提高性能
self._pixmap = QPixmap(self.size())
self._pixmap.fill(self.brush.color())
def sizeHint(self):
return QSize(400, 150)
def resizeEvent(self, event):
"""当窗口大小改变时,重新创建缓冲区"""
self._pixmap = QPixmap(event.size())
self.redraw_pixmap()
super().resizeEvent(event)
@pyqtSlot(object)
def update_waveform(self, new_chunk: np.ndarray):
"""
公共槽:用新的音频块更新波形。
期望的 new_chunk 是一个 1D NumPy 数组 (例如, np.float32)。
"""
# (展平逻辑保持不变)
if new_chunk.ndim > 1:
new_chunk = new_chunk.flatten()
self.buffer = new_chunk
self.redraw_pixmap()
def redraw_pixmap(self):
"""在后台 Pixmap 上重绘波形"""
self._pixmap.fill(self.brush.color())
painter = QPainter(self._pixmap)
painter.setRenderHint(QPainter.RenderHint.Antialiasing)
if self.buffer.size == 0:
painter.end()
self.update() # 触发 paintEvent
return
w = self.width()
h = self.height()
h_half = h // 2
# (采样/插值逻辑保持不变)
if self.buffer.size > w:
step = self.buffer.size / w
indices = (np.arange(w) * step).astype(int)
samples = self.buffer[indices]
else:
x_old = np.linspace(0, self.buffer.size - 1, num=self.buffer.size)
x_new = np.linspace(0, self.buffer.size - 1, num=w)
samples = np.interp(x_new, x_old, self.buffer)
# --- [!! 新增: 应用增益和裁剪 !!] ---
# 1. 应用增益
amplified_samples = samples * self.gain
# 2. 裁剪 (Clipping)
# 使用 np.clip 将值限制在 [-1.0, 1.0] 范围内
# 这样放大的信号就不会超出绘图区域
clipped_samples = np.clip(amplified_samples, -1.0, 1.0)
# --- [!! 结束新增 !!] ---
painter.setPen(self.pen)
# 计算所有点
points = []
# --- [!! 修改 !!] ---
# (使用 clipped_samples 而不是 samples)
for x, sample in enumerate(clipped_samples):
# --- [!! 结束修改 !!] ---
# 'sample' 是被放大并裁剪过的
y = h_half - int(sample * h_half)
points.append((x, y))
# 绘制线条
for i in range(len(points) - 1):
painter.drawLine(points[i][0], points[i][1], points[i + 1][0], points[i + 1][1])
painter.end()
self.update() # 触发 paintEvent
def paintEvent(self, event):
"""将预先绘制的 Pixmap 绘制到窗口上"""
painter = QPainter(self)
painter.drawPixmap(0, 0, self._pixmap)