import cv2 import numpy as np # f0,f1=\'feiyong.jpg\',\'g3logo.jpg\' # # #f1,f0=\'feiyong.jpg\',\'g3logo.jpg\' # # img0,img1=cv2.imread(f0,1),cv2.imread(f1,1) # # h,w,_=img0.shape # # h_roi,w_roi=int(h/2),int(w/2) # # img0_roi,img1_roi=img0[0:h_roi,0:w_roi],img1[0:h_roi,0:w_roi] # # dst=np.zeros((h_roi,w_roi,3),np.uint8) # # dst=cv2.addWeighted(img0_roi,0.5,img1_roi,0.5,0) # # cv2.imshow(\'mydeal\',dst) # # cv2.waitKey(0) # -*- coding: utf-8 -*- import cv2 import numpy as np f0,f1=\'feiyong.jpg\',\'g3logo.jpg\' img1 = cv2.imread(f0) # 加载图像 img2 = cv2.imread(f1) rows,cols,channels = img2.shape roi = img1[0:rows, 0:cols ] # 取img1的这个区域来处理 img2gray = cv2.cvtColor(img2,cv2.COLOR_BGR2GRAY) # 建立logo的二值图，也建立相反的二值图 ret, mask = cv2.threshold(img2gray, 175, 255, cv2.THRESH_BINARY)#二值化 mask_inv = cv2.bitwise_not(mask) # 做非操作，黑的变白，白的变黑，黑色0，白色255 img1_bg = cv2.bitwise_and(roi,roi,mask = mask) #与操作 ，参数输入，输出，与mask做and操作，黑色的被填充 img2_fg = cv2.bitwise_and(img2,img2,mask = mask_inv) #与操作 dst = cv2.add(img1_bg,img2_fg) # 相加 img1[0:rows, 0:cols ] = dst #把添加了logo的该区域赋值回原来的地方 cv2.imshow(\'my--------------\',img1) cv2.imshow(\'img2gray\',img2gray) #显示整个过程中的中间结果和最终结果 cv2.imshow(\'ret\',ret) cv2.imshow(\'mask\',mask) cv2.imshow(\'mask_inv\',mask_inv) cv2.imshow(\'img1_bg\',img1_bg) cv2.imshow(\'img2_fg\',img2_fg) cv2.imshow(\'dst\',dst) cv2.imshow(\'res\',img1) cv2.waitKey(0) cv2.destroyAllWindows()
在原视频的生成基础上，可以在不同字幕、不同播放位置贴入不同图片；
# 设置分句的标志符号；可以根据实际需要进行修改 # cutlist = "。！？".decode(\'utf-8\') cutlist = [\'\n\', \'\t\', \'。\', \'；\', \'？\', \'.\', \';\', \'?\', \'...\', \'、、、\', \'：\'] cutlist = [\'\n\', \'\t\', \'。\', \'；\', \'？\', \'：\'] # cutlist = [ \'。\', \'；\', \'？\', \'.\', \';\', \'?\', \'...\', \'、、、\',\'：\',\':\',\'，\'] # cutlist = [ \'。\', \'；\', \'？\', \'.\', \';\', \'?\', \'...\', \'、、、\',\':\',\'，\',\'、\'] # 检查某字符是否分句标志符号的函数；如果是，返回True，否则返回False def FindToken(cutlist, char): if char in cutlist: return True else: return False # 进行分句的核心函数 def Cut(cutlist, lines): # 参数1：引用分句标志符；参数2：被分句的文本，为一行中文字符 l = [] # 句子列表，用于存储单个分句成功后的整句内容，为函数的返回值 line = [] # 临时列表，用于存储捕获到分句标志符之前的每个字符，一旦发现分句符号后，就会将其内容全部赋给l，然后就会被清空 for i in lines: # 对函数参数2中的每一字符逐个进行检查 （本函数中，如果将if和else对换一下位置，会更好懂） if FindToken(cutlist, i): # 如果当前字符是分句符号 line.append(i) # 将此字符放入临时列表中 l.append(\'\'.join(line)) # 并把当前临时列表的内容加入到句子列表中 line = [] # 将符号列表清空，以便下次分句使用 else: # 如果当前字符不是分句符号，则将该字符直接放入临时列表中 line.append(i) return l r_s = [] # 以下为调用上述函数实现从文本文件中读取内容并进行分句。 # with open(\'mybaidu.parp.b.txt\',\'r\',encoding=\'utf-8\') as fr : # for lines in fr: # l = Cut(list(cutlist), list(lines)) # for line in l: # if len(line.replace(\' \', \'\')) == 0: # continue # if line.strip() != "": # line=line.strip() # r_s.append(line) # # # li = line.strip().split() # # for sentence in li: # # r_s.append(sentence) str_ = \'\' # cutlist = [ \'。\', \'；\', \'？\', \'.\', \';\', \'?\', \'...\', \'、、、\',\'：\',\':\',\'，\',\'\n\'] with open(\'mybaidu.parp.b.txt\', \'r\', encoding=\'utf-8\') as fr: for lines in fr: if len(lines.replace(\' \', \'\')) == 0: continue # str_=\'{}{}\'.format(str_,lines.replace(\'\n\',\'\')) # if len(lines.replace(\' \',\'\').replace(\'\n\',\'\'))==0: # continue str_ = \'{}{}\'.format(str_, lines) # l = Cut(list(cutlist), list(lines)) # for line in l: # if line.strip() != "": # line=line.strip() from aip import AipSpeech bd_k_l = [\'11059852\', \'5Kk01GtG2fjCwpzEkwdn0mjw\', \'bp6Wyx377Elq7RsCQZzTBgGUFzLm8G2A\'] APP_ID, API_KEY, SECRET_KEY = bd_k_l mp3_dir = \'C:\\Users\\sas\\PycharmProjects\\produce_video\\result_g3com\\\' client = AipSpeech(APP_ID, API_KEY, SECRET_KEY) # result = client.synthesis(str_, \'zh\', 1, { # \'vol\': 5, # }) uid = \'liukeyuanG3_whole_para\' # 识别正确返回语音二进制 错误则返回dict 参照下面错误码 f_w = \'{}{}{}{}{}\'.format(mp3_dir, \'g3db\', uid, \'g3uid\', \'.mp3\') # # if not isinstance(result, dict): # # f_w = \'{}{}{}{}\'.format(mp3_dir, \'g3uid\', uid, \'.mp3\') # f_w = \'{}{}{}{}{}\'.format(mp3_dir, \'g3db\', uid, \'g3uid\', \'.mp3\') # # ,\'g3db\',uid,\'g3uid\' # # with open(\'auido.b.mp3\', \'wb\') as f: # with open(f_w, \'wb\') as f: # f.write(result) sentence_l, sentence_l_chk = Cut(list(cutlist), list(str_)), [] for i in sentence_l: chk_br = i.replace(\'\n\', \' \') # del sentence_l[sentence_l.index(i)] if len(chk_br.replace(\' \', \'\')) > 0: sentence_l_chk.append(chk_br.replace(\' \', \'\')) bdmp3filter_l = [\'：\', \'——\', \',\', \'《\', \'》\', \'“\', \'”\', \'、\', \'（\', \'）\', \'.\', \' \'] # 注意空格 # 保留其他标点符号 mp3_str = \' \'.join(sentence_l_chk) mp3_str_bdmp3filter = mp3_str for i in bdmp3filter_l: mp3_str_bdmp3filter = mp3_str_bdmp3filter.replace(i, \'\') import os, time, glob import cv2 os_sep = os.sep this_file_abspath = os.path.abspath(__file__) this_file_dirname, this_file_name = os.path.dirname(this_file_abspath), os.path.abspath(__file__).split(os_sep)[ -1] logo_f_name, logo_f = \'g3logo.jpg\', \'\' f_img_d = \'{}{}{}{}{}\'.format(this_file_dirname, os_sep, \'mypng\', os_sep, \'*.jpg\') imgs, img_size_d = glob.glob(f_img_d), {} for i in imgs: if logo_f_name in i: logo_f = i del imgs[imgs.index(i)] for i in imgs: if logo_f_name in i: logo_f = i img = cv2.imread(i) w_h_s = \'{},{}\'.format(img.shape[1], img.shape[0]) if w_h_s not in img_size_d: img_size_d[w_h_s] = 1 else: img_size_d[w_h_s] += 1 mode_img_size_wh = [int(i) for i in sorted(img_size_d.items(), key=lambda mytuple: mytuple[1], reverse=True)[0][0].split(\',\')] mode_img_size_wh = [1208, 720] mode_img_size_wh = [1280, 720] os_sep = os.sep this_file_abspath = os.path.abspath(__file__) this_file_dirname, this_file_name = os.path.dirname(this_file_abspath), os.path.abspath(__file__).split(os_sep)[-1] import time, math this_time = time.time() import imageio imageio.plugins.ffmpeg.download() from moviepy.editor import VideoFileClip f_mp3 = \'g3dbG3g3uidnoBRBlankLine.06.mp3\' import mutagen.id3 from mutagen.easyid3 import EasyID3 from mutagen.mp3 import MP3 EasyID3.valid_keys["comment"] = "COMM::\'XXX\'" id3info = MP3(f_mp3, ID3=EasyID3) t_spend = id3info.info.length import cv2 import glob \'\'\' python+opencv视频图像相互转换 - CSDN博客 https://blog.csdn.net/m0_37733057/article/details/79023693 链接：https://www.zhihu.com/question/49558804/answer/343058915 OpenCV: Drawing Functions in OpenCV https://docs.opencv.org/3.1.0/dc/da5/tutorial_py_drawing_functions.html \'\'\' # 每秒传输帧数(Frames Per Second) fps = 100 # 保存视频的FPS，可以适当调整 FPS是图像领域中的定义，是指画面每秒传输帧数，通俗来讲就是指动画或视频的画面数。FPS是测量用于保存、显示动态视频的信息数量。每秒钟帧数愈多，所显示的动作就会愈流畅。通常，要避免动作不流畅的最低是30。某些计算机视频格式，每秒只能提供15帧。 f_img_d = \'{}{}{}{}{}\'.format(this_file_dirname, os_sep, \'mypng\', os_sep, \'*.jpg\') imgs = glob.glob(f_img_d) """ 用图片总数均分音频时间 """ def resize_rescale_pilimg(img_f, w_h_tuple=(mode_img_size_wh[0], mode_img_size_wh[1]), mid_factor=1): # print(img_f) img_n, img_type = img_f.split(\'.\')[-2], img_f.split(\'.\')[-1] # print(img_n) img_n_resize_rescale_pilimg_dir = \'{}{}{}\'.format(os_sep.join(img_n.split(os_sep)[:-1]), \'resize_rescale_pilimg\', os_sep, img_n.split(os_sep)[-1], os_sep) img_n_resize_rescale_pilimg = \'{}{}{}\'.format(img_n_resize_rescale_pilimg_dir, img_n.split(os_sep)[-1], \'.PNG\') # print(img_n_resize_rescale_pilimg) img_type = \'PNG\' # img_f_new = \'{}{}{}{}\'.format(img_n, int(time.time()), \'resize_rescale.\', img_type) img_f_new = img_n_resize_rescale_pilimg mid_icon = Image.open(img_f) mid_icon_w, mid_icon_h = w_h_tuple[0] * mid_factor, w_h_tuple[1] * mid_factor mid_icon = mid_icon.resize((mid_icon_w, mid_icon_h), Image.ANTIALIAS) mid_icon.save(img_n_resize_rescale_pilimg, img_type) return img_f_new from PIL import Image, ImageDraw, ImageFont # myfont = ImageFont.truetype("simhei.ttf", 50, encoding="utf-8") myfont = ImageFont.truetype("simhei.ttf", encoding="utf-8") import cv2 import numpy as np equal_str_l = [] le = len(mp3_str) br_step = 34 br_step = math.floor((mode_img_size_wh[0]) * 0.038) br_step = math.floor((mode_img_size_wh[0]) * 0.036) br_times = math.ceil(le / br_step) for i_br_loop in range(br_times): s_p = mp3_str[i_br_loop * br_step:i_br_loop * br_step + br_step] equal_str_l.append(s_p) l = equal_str_l char_loop_l_len = len(mp3_str) / len(equal_str_l) char_loop_l_len = len(mp3_str_bdmp3filter) \'\'\' bdmp3filter_l = [\'：\', \'——\', \',\', \'《\', \'》\', \'“\', \'”\', \'、\', \'（\', \'）\', \'.\', \' \'] # 注意空格 # 保留其他标点符号 mp3_str = \' \'.join(sentence_l_chk) mp3_str_bdmp3filter = mp3_str for i in bdmp3filter_l: mp3_str_bdmp3filter = mp3_str_bdmp3filter.replace(i, \'\') \'\'\' import numpy as np def gen_video(os_delay_factor=0.245, mystep=0.01, bear_error_second=1, audio_spend=t_spend, step_para=1): f_v = \'{}{}{}{}{}{}{}\'.format(\'D:\\myv\\\', \'g3db\', uid, \'g3uid\', uid, int(time.time()), \'saveVideo.b.avi\') fps, fourcc = 15, cv2.VideoWriter_fourcc(\'M\', \'J\', \'P\', \'G\') videoWriter = cv2.VideoWriter(f_v, fourcc, fps, (mode_img_size_wh[0], mode_img_size_wh[1])) for i in l: # print(i) i_index = l.index(i) img_index = i_index % len(imgs) imgname = imgs[img_index] mystr, le = i, len(i) frame = cv2.imread(imgname) if (frame.shape[1], frame.shape[0]) != (mode_img_size_wh[0], mode_img_size_wh[1]): imgname = resize_rescale_pilimg(imgname) frame = cv2.imread(imgname) else: pass img1 = cv2.imread(imgname) # 加载图像 img2 = cv2.imread(logo_f) #logo rows, cols, channels = img2.shape roi = img1[0:rows, 0:cols] # 取img1的这个区域来处理 img2gray = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY) # 建立logo的二值图，也建立相反的二值图 ret, mask = cv2.threshold(img2gray, 175, 255, cv2.THRESH_BINARY) # 二值化 mask_inv = cv2.bitwise_not(mask) # 做非操作，黑的变白，白的变黑，黑色0，白色255 img1_bg = cv2.bitwise_and(roi, roi, mask=mask) # 与操作 ，参数输入，输出，与mask做and操作，黑色的被填充 img2_fg = cv2.bitwise_and(img2, img2, mask=mask_inv) # 与操作 dst = cv2.add(img1_bg, img2_fg) # 相加 img1[0:rows, 0:cols] = dst # 把添加了logo的该区域赋值回原来的地方 frame =img1 frame_cv2 = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) frame_pil = Image.fromarray(frame_cv2) # 转为PIL的图片格式 # font = ImageFont.truetype("simhei.ttf", 50, encoding="utf-8") font_size = math.floor((mode_img_size_wh[0]) * 0.020) font = ImageFont.truetype("simhei.ttf", font_size, encoding="utf-8") # ImageDraw.Draw(frame_pil).text((100, 20), mystr, (0, 0, 255), font) f_x, f_y = math.floor((mode_img_size_wh[0]) * 0.06), math.floor(mode_img_size_wh[1] * 0.85) # ImageDraw.Draw(frame_pil).text((30, mode_img_size_wh[1]-30), mystr, (0, 0, 255), font) ImageDraw.Draw(frame_pil).text((f_x, f_y), mystr, (0, 0, 255), font) frame_cv2 = cv2.cvtColor(np.array(frame_pil), cv2.COLOR_RGB2BGR) img = frame_cv2 line_bdmp3filter = i for bdmp3filter in bdmp3filter_l: line_bdmp3filter = line_bdmp3filter.replace(bdmp3filter, \'\') myinterval = t_spend / (len(mp3_str_bdmp3filter) * 1) * os_delay_factor * len(line_bdmp3filter) print(myinterval, \'---------------\', mystr) this_time = time.time() while time.time() - this_time < myinterval: videoWriter.write(img) videoWriter.release() time.sleep(1) print(f_v) video_playtime = VideoFileClip(f_v).duration if video_playtime - audio_spend > bear_error_second: # os_delay_factor -= mystep os_delay_factor *= t_spend / video_playtime gen_video(os_delay_factor=os_delay_factor, mystep=0.005, audio_spend=t_spend) elif audio_spend - video_playtime > bear_error_second: # os_delay_factor += mystep os_delay_factor *= t_spend / video_playtime gen_video(os_delay_factor=os_delay_factor, mystep=0.005, audio_spend=t_spend) else: os._exit(123) \'\'\' 326 \'\'\' gen_video(os_delay_factor=0.046, mystep=0.03, bear_error_second=0.5, audio_spend=t_spend)