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- import openshot
- import os
- import re
- import time
- import pysrt
- import shutil
- from datetime import datetime
- from PIL import Image,ImageDraw,ImageFont
- import gspread
- import pandas as pd
- import csv
- from oauth2client.service_account import ServiceAccountCredentials
- def auth_gss_client(path, scopes):
- credentials = ServiceAccountCredentials.from_json_keyfile_name(path, scopes)
- return gspread.authorize(credentials)
- auth_json_path = 'noted-tesla-348011-74f70c9caeda.json' #由剛剛建立出的憑證,放置相同目錄以供引入
- gss_scopes = ['https://spreadsheets.google.com/feeds'] #我們想要取用的範圍
- gss_client = auth_gss_client(auth_json_path, gss_scopes) #呼叫我們的函式
- #從剛剛建立的sheet,把網址中 https://docs.google.com/spreadsheets/d/〔key〕/edit 的 〔key〕的值代入
- spreadsheet_key_path = '1LU5O8-oAotIFGPI9STPbElO0NHGA6eynuv9sYz81aOw'
- wks = gss_client.open_by_key(spreadsheet_key_path).sheet1
- def srt_to_sheet(srt_file):
- subs = pysrt.open(srt_file)
- wks.clear()
- index = 0
- for context in subs:
- index = context.index
- cell_list = wks.range('A1:C'+str(index))
-
- number = 0
- for context in subs:
- #print(context.start.minutes*60+context.start.seconds+ 0.001*context.start.milliseconds)
- index = context.index
- end = context.end
- start = context.start
- #print('A'+str(index))
- cell_list[number].value = str(start)
- cell_list[number+1].value = str(end)
- cell_list[number+2].value = str(context.text)
- number = number+3
-
- wks.update_cells(cell_list)
- def sheet_to_text(text_font):
- ck_anchor = cKey(0, 255, 0, 320)
- text_form = []
- for context in wks.get_all_values():
- #print(context.start.minutes*60+context.start.seconds+ 0.001*context.start.milliseconds)
- start = datetime.strptime(context[0], "%H:%M:%S,%f")
- end = datetime.strptime(context[1], "%H:%M:%S,%f") - datetime.strptime(context[0], "%H:%M:%S,%f")
- end_timeStamp=end.seconds+0.000001*end.microseconds
- start_timeStamp=start.minute*60+start.second+ 0.000001*start.microsecond
- text_form.append({'text':context[2],'start':start_timeStamp,'end':end_timeStamp,'size':36,'font':text_font})
- #print({'text':context[2],'start':start_timeStamp,'end':end_timeStamp,'size':36,'font':text_font})
- def cKey(r,g,b,fuzz):
- col=openshot.Color()
- col.red=openshot.Keyframe(r)
- col.green=openshot.Keyframe(g)
- col.blue=openshot.Keyframe(b)
- return openshot.ChromaKey(col, openshot.Keyframe(fuzz))
- def video_writer_init(path):
- w = openshot.FFmpegWriter(path)
- w.SetAudioOptions(True, "aac", 44100, 2, openshot.LAYOUT_STEREO, 3000000)
- w.SetVideoOptions(True, "libx264", openshot.Fraction(30000, 1000), 1280, 720,
- openshot.Fraction(1, 1), False, False, 3000000)
- return w
- def video_photo_clip(video=None,layer=None, position=None, end=None
- ,scale_x=1,scale_y=1,location_x=0,location_y=0,ck=None,audio=True):
- clip = openshot.Clip(video)
- clip.Layer(layer)
- clip.Position(position)
- clip.End(end)
- clip.scale_x=openshot.Keyframe(scale_x)
- clip.scale_y=openshot.Keyframe(scale_y)
- clip.location_x=openshot.Keyframe(location_x)
- clip.location_y=openshot.Keyframe(location_y)
-
- if ck!=None:
- clip.AddEffect(ck)
- if audio==True:
- clip.has_audio=openshot.Keyframe(1)
- else:
- clip.has_audio=openshot.Keyframe(0)
- return clip
- def trim_punctuation(s):
- pat_block = u'[^\u4e00-\u9fff0-9a-zA-Z]+'
- pattern = u'([0-9]+{0}[0-9]+)|{0}'.format(pat_block)
- res = re.sub(pattern, lambda x: x.group(1) if x.group(1) else u" " ,s)
- return res
- #文字轉圖片
- def txt2image(content, save_target,lang='zh',size=26,fon="font/DFT_B7.ttc"):
- unicode_text = trim_punctuation(content)
- font = ''
- if lang=='zh':
- font = ImageFont.truetype(font=fon, size=size)
- else :
- font = ImageFont.truetype(font="font/arial.ttf", size=size)
-
- W, H = (1280,500)
- canvas = Image.new('RGB', (W, H), "#00FF00")
- draw = ImageDraw.Draw(canvas)
-
- text= content
- if "\n" in text:
- w, h = draw.textsize(text.split("\n")[0],font = font)
- #draw.text(((W-w)/2,0), text[0:18],'black', font)
- text_border(draw,(W-w)/2,0,text.split("\n")[0],font,'black','white')
- w, h = draw.textsize(text.split("\n")[1],font = font)
- #draw.text(((W-w)/2,h+2), text[18:],'black', font)
- text_border(draw,(W-w)/2,h+2,text.split("\n")[1],font,'black','white')
- else:
- w, h = draw.textsize(content,font = font)
- #draw.text(((W-w)/2,0), text,'black', font)
- text_border(draw,(W-w)/2,0,text,font,'black','white')
- canvas.save(save_target, "PNG")
- def text_border(draw,x,y,text,font,shadowcolor,fillcolor):
- draw.text((x-1, y), text, font=font, fill=shadowcolor)
- draw.text((x+1, y), text, font=font, fill=shadowcolor)
- draw.text((x, y-1), text, font=font, fill=shadowcolor)
- draw.text((x, y+1), text, font=font, fill=shadowcolor)
- draw.text((x-1, y+1), text, font=font, fill=shadowcolor)
- draw.text((x+1, y-1), text, font=font, fill=shadowcolor)
- draw.text((x-1, y-1), text, font=font, fill=shadowcolor)
- draw.text((x+1, y+1), text, font=font, fill=shadowcolor)
- # thicker border
- draw.text((x-2, y-2), text, font=font, fill=shadowcolor)
- draw.text((x+2, y-2), text, font=font, fill=shadowcolor)
- draw.text((x-2, y+2), text, font=font, fill=shadowcolor)
- draw.text((x+2, y+2), text, font=font, fill=shadowcolor)
- # now draw the text over it
- draw.text((x, y), text, font=font, fill=fillcolor)
- def srt_to_csv(srt_file):
- subs = pysrt.open(srt_file)
- csv_file = srt_file.split('.')[0] + ".csv"
- with open(csv_file, 'w', newline='') as csvfile:
- # 建立 CSV 檔寫入器
- writer = csv.writer(csvfile)
- for context in subs:
- writer.writerow([context.index, context.start,context.end, context.text])
- return csv_file
- def csv_to_text(csv_file,text_font):
- text_form = []
- with open(csv_file, newline='') as csvfile:
- # 讀取 CSV 檔案內容
- rows = csv.reader(csvfile)
- # 以迴圈輸出每一列
- for row in rows:
- start = datetime.strptime(row[1], "%H:%M:%S,%f")
- end = datetime.strptime(row[2], "%H:%M:%S,%f") - datetime.strptime(row[1], "%H:%M:%S,%f")
- end_timeStamp=end.seconds+0.000001*end.microseconds
- start_timeStamp=start.minute*60+start.second+ 0.000001*start.microsecond
- text_form.append({'text':row[3],'start':start_timeStamp,'end':end_timeStamp,'size':36,'font':text_font})
-
- return text_form
- def text_to_short_vedio(mp4_file = "input/example/test3.mp4",sound_file = None
- ,vedio_time = 30,output_filename="output/demo.mp4",text_font = "font/DFT_B7.ttc",mode = "csv",correct = False):
- t = openshot.Timeline(1280, 720, openshot.Fraction(30000, 1000), 44100, 2, openshot.LAYOUT_STEREO)
- t.Open()
-
- # 去背參數
- ck = cKey(0, 254, 0, 270)
- ck_anchor = cKey(0, 255, 0, 320)
- anchor = openshot.FFmpegReader(mp4_file)
- anchor.Open()
- anchor_clip = video_photo_clip(video=anchor,layer=2,scale_x=1,scale_y=1,
- location_x=0,location_y=0,position=0, end=vedio_time,audio=True)
- t.AddClip(anchor_clip)
- anchor.Close()
- number = 0
- sound_srt_file = ""
- text_form = []
- if sound_file==None:
- if mode!= "google":
- sound_file = mp4_file
- correct = False
- if ".csv" in sound_file :
- correct = True
- mode = "csv"
- #音檔自動產生srt(逐字稿)
- if not correct: # 未修正過的、需要產生SRT檔
- cmd = "autosub -S zh-TW -D zh-TW " + sound_file
- os.system(cmd)
- sound_srt_file = sound_file.split('.')[0] + ".srt"
- if mode == "google" :
- srt_to_sheet(sound_srt_file)
- text_form = sheet_to_text(text_font)
- elif mode == "csv" :
- csv_file = srt_to_csv(sound_srt_file)
- text_form = csv_to_text(csv_file,text_font)
- else:
- if ".srt" in sound_file:
- sound_srt_file = sound_file
- if mode == "google" :
- srt_to_sheet(sound_srt_file)
- text_form = sheet_to_text(text_font)
- elif mode == "csv" :
- csv_file = srt_to_csv(sound_srt_file)
- text_form = csv_to_text(csv_file,text_font)
- else:
- if mode == "google" :
- text_form = sheet_to_text(text_font)
- elif mode == "csv" :
- csv_file = sound_file
- text_form = csv_to_text(csv_file,text_font)
- #產生字幕
- try:
- number = 0
- for text_tmp in text_form:
- file_name = "tmp/save_target_" + str(number) + ".png"
- txt2image(text_tmp['text'], file_name,lang='zh',size = text_tmp['size'],fon = text_tmp['font'])
- exec('text_anchor_{} = openshot.QtImageReader("tmp/save_target_{}.png")'.format(number,number))
- exec('text_anchor_{}.Open()'.format(number))
- exec('text_anchor_{}.Open()'.format(number))
- exec('text_anchor_clip_{} = video_photo_clip(video=text_anchor_{},layer=4,scale_x=1,scale_y=1,\
- location_x=0,location_y=0.67,position=text_tmp["start"], end=text_tmp["end"],ck=ck_anchor,audio=True)'.format(number,number))
- exec('t.AddClip(text_anchor_clip_{})'.format(number))
- exec('text_anchor_{}.Close()'.format(number))
- number = number+1
- except:
- print("無法開啟srt檔案(字幕產生失敗)")
- w = video_writer_init(output_filename)
- w.Open()
- frames = int(t.info.fps)*int(vedio_time)
- for n in range(frames):
- f=t.GetFrame(n)
- w.WriteFrame(f)
- t.Close()
- w.Close()
- #刪除暫存檔案
- shutil.rmtree('tmp')
- os.mkdir('tmp')
- if __name__ == '__main__':
-
- #text_to_short_vedio(mp4_file = "input/example/導盲犬_投影片2.mp4",
- #sound_file ='input/example/導盲犬_投影片2.srt',vedio_time =110,text_font ="font/DFT_R7.ttc")
- file = srt_to_csv('input/example/導盲犬_投影片2.srt')
- text = csv_to_text(file,"font/DFT_R7.ttc")
- print(text)
-
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