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#!/usr/bin/env python
# coding: utf-8
# <h1>Table of Contents<span class="tocSkip"></span></h1>
# <div class="toc"><ul class="toc-item"></ul></div>
# Выполнено!
# In[1]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import gradio as gr
# In[2]:
header_type = np.dtype([('chunkId', 'a4'), ('chunkSize', 'i'), ('format', 'S4'), ('subchunk1Id', 'S4'), ('subchunk1Size', np.int32),
('audioFormat', np.int16), ('numChannels', np.int16), ('sampleRate', np.int32), ('byteRate', np.int32),
('blockAlign', np.int16), ('bitsPerSample', np.int16), ('subchunk2Id', 'S', 4), ('subchunk2Size', np.int32),
])
# In[3]:
bmp_header_124 = np.dtype([('type', 'S2'), ('size', np.int32, ), ('reserve', np.int16), ('reserve2', np.int16), ('offset', np.int32),
('bV5Size', 'I'), ('bV5Width', 'i'), ('bV5Height', 'i'), ('bV5Planes', 'H'), ('bV5BitCount', 'H'),
('bV5Compression', 'I'), ('bV5SizeImage', 'I'), ('bV5XPelsPerMeter', 'i'), ('bV5YPelsPerMeter', 'i'),
('bV5ClrUsed', 'I'), ('bV5ClrImportant', 'I'), ('bV5RedMask', 'I'), ('bV5GreenMask', 'I'),
('bV5BlueMask', 'I'), ('bV5AlphaMask', 'I'), ('bV5CSType', 'I'),
('bV5Endpoints', '9i'), ('bV5GammaRed', 'I'), ('bV5GammaGreen', 'I'), ('bV5GammaBlue', 'I'),
('bV5Intent', 'I'), ('bV5ProfileData', 'I'), ('bV5ProfileSize', 'I'), ('bV5Reserved', 'I')])
bmp_header_40 = np.dtype([('type', 'S2'), ('size', np.int32, ), ('reserve', np.int16), ('reserve2', np.int16), ('offset', np.int32),
('bV5Size', 'I'), ('bV5Width', 'i'), ('bV5Height', 'i'), ('bV5Planes', 'H'), ('bV5BitCount', 'H'),
('bV5Compression', 'I'), ('bV5SizeImage', 'I'), ('bV5XPelsPerMeter', 'i'), ('bV5YPelsPerMeter', 'i'),
('bV5ClrUsed', 'I'), ('bV5ClrImportant', 'I')])
bmp_dtypes = {124: bmp_header_124, 40: bmp_header_40}
# In[4]:
filename = r"C:\Users\Ilia\Downloads\DJI.bmp"
def load_bmp(filename):
if isinstance(filename, str):
return_data = True
else:
filename = filename.name
return_data = False
with open(filename, 'rb') as file:
header_type = np.int16(file.read(15)[14])
file.seek(0)
header = np.fromfile(file, dtype = bmp_dtypes[header_type], count = 1)
byte_count_per_pxl = header['bV5BitCount'][0] // 8
bmp_colors = np.dtype([('b', np.int32), ('g', np.int32), ('r', np.int32)])
colors = np.fromfile(file ,dtype = f'{byte_count_per_pxl}B', count = header['bV5SizeImage'][0])
fig, ax = plt.subplots(1, 1)
colors[:, [0, 2]] = colors[:, [2, 0]]
ax.imshow(np.flip(colors[:, :3].reshape((header['bV5Height'][0], header['bV5Width'][0], 3)), axis = 0))
if return_data:
return header, colors
else:
return gr.update(value = fig, visible = True)
def load_wav(filename):
if isinstance(filename, str):
return_data = True
else:
filename = filename.name
return_data = False
with open(filename, 'rb') as file:
header = np.fromfile(file, dtype = header_type, count = 1)
data = np.fromfile(file, dtype = np.int16, count = header['subchunk2Size'][0] // 2)\
.reshape(-1, header['numChannels'][0]).T.mean(axis = 0)
fig, ax = plt.subplots()
ax.plot(data);
if return_data:
return header, data
else:
return [gr.update(value = fig, visible = True), gr.update(value = (header[0][7], data), visible = True)];
# In[5]:
with gr.Blocks() as app:
with gr.Row():
with gr.Column():
wav_file = gr.File(label = 'Загрузите WAV файл', file_count = 'single', file_types = ['.wav'])
wav_btn = gr.Button(value = 'Обработать WAV')
bmp_file = gr.File(label = 'Загрузите BMP файл', file_count = 'single', file_types = ['.bmp'])
bmp_btn = gr.Button(value = 'Обработать BMP')
with gr.Column():
wav_plot = gr.Plot(visible = False)
audio = gr.Audio(visible = False)
bmp_plot = gr.Plot(visible = False)
wav_btn.click(load_wav, inputs = wav_file, outputs = [wav_plot, audio])
bmp_btn.click(load_bmp, inputs = bmp_file, outputs = [bmp_plot])
# In[6]:
app.launch(share = True)
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