视频生成 量产 win 转 linux ffmpeg linux 安装 对批量视频的尽可能短时间生成
环境准备
Welcome to aliyun Elastic Compute Service!
[root@mytest ~]# pip install baidu-aip
Looking in indexes: http://mirrors.aliyun.com/pypi/simple/
Requirement already satisfied: baidu-aip in ./anaconda3/lib/python3.5/site-packages (2.2.2.0)
Requirement already satisfied: requests in ./anaconda3/lib/python3.5/site-packages (from baidu-aip) (2.14.2)
You are using pip version 10.0.0, however version 10.0.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
[root@mytest ~]# pip install bs4
Looking in indexes: http://mirrors.aliyun.com/pypi/simple/
Requirement already satisfied: bs4 in ./anaconda3/lib/python3.5/site-packages (0.0.1)
Requirement already satisfied: beautifulsoup4 in ./anaconda3/lib/python3.5/site-packages (from bs4) (4.5.1)
You are using pip version 10.0.0, however version 10.0.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
[root@mytest ~]# pip install --upgrade pip
Looking in indexes: http://mirrors.aliyun.com/pypi/simple/
Collecting pip
Downloading http://mirrors.aliyun.com/pypi/packages/0f/74/ecd13431bcc456ed390b44c8a6e917c1820365cbebcb6a8974d1cd045ab4/pip-10.0.1-py2.py3-none-any.whl (1.3MB)
100% |????????????????????????????????| 1.3MB 38.0MB/s
Installing collected packages: pip
Found existing installation: pip 10.0.0
Uninstalling pip-10.0.0:
Successfully uninstalled pip-10.0.0
Successfully installed pip-10.0.1
[root@mytest ~]# pip install imageio
Looking in indexes: http://mirrors.aliyun.com/pypi/simple/
Requirement already satisfied: imageio in ./anaconda3/lib/python3.5/site-packages (2.3.0)
Requirement already satisfied: pillow in ./anaconda3/lib/python3.5/site-packages (from imageio) (3.3.1)
Requirement already satisfied: numpy in ./anaconda3/lib/python3.5/site-packages (from imageio) (1.13.1)
[root@mytest ~]# python
Python 3.5.2 |Anaconda custom (64-bit)| (default, Jul 2 2016, 17:53:06)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import imageio
>>> imageio.plugins.ffmpeg.download()
Imageio: 'ffmpeg-linux64-v3.3.1' was not found on your computer; downloading it now.
Try 1. Download from https://github.com/imageio/imageio-binaries/raw/master/ffmpeg/ffmpeg-linux64-v3.3.1 (43.8 MB)
Downloading: 606208/45929032 bytes (1.3%)Error while fetching file: The read operation timed out.
Try 2. Download from https://github.com/imageio/imageio-binaries/raw/master/ffmpeg/ffmpeg-linux64-v3.3.1 (43.8 MB)
Downloading: 15040512/45929032 bytes (32.7%)Error while fetching file: The read operation timed out.
Try 3. Download from https://github.com/imageio/imageio-binaries/raw/master/ffmpeg/ffmpeg-linux64-v3.3.1 (43.8 MB)
Downloading: 45929032/45929032 bytes (100.0%)
Done
File saved as /root/.imageio/ffmpeg/ffmpeg-linux64-v3.3.1.
>>>
[root@mytest ~]# cd /root/.imageio/ffmpeg/
[root@mytest ffmpeg]# ll -as
total 44868
4 drwxr-xr-x 2 root root 4096 Apr 28 10:17 .
4 drwxr-xr-x 3 root root 4096 Apr 28 09:45 ..
44860 -rw-r--r-- 1 root root 45929032 Apr 28 10:17 ffmpeg-linux64-v3.3.1
[root@mytest ffmpeg]# pwd
/root/.imageio/ffmpeg
[root@mytest ffmpeg]# ./ffmpeg-linux64-v3.3.1 -i 0.mp3 -i a.avi myunix.mp4
-bash: ./ffmpeg-linux64-v3.3.1: Permission denied
[root@mytest ffmpeg]# ll -as
total 313084
4 drwxr-xr-x 2 root root 4096 Apr 28 10:23 .
4 drwxr-xr-x 3 root root 4096 Apr 28 09:45 ..
20 -rw-r--r-- 1 root root 19944 Apr 28 10:23 0.mp3
268196 -rw-r--r-- 1 root root 274626116 Apr 28 10:22 a.avi
44860 -rw-r--r-- 1 root root 45929032 Apr 28 10:17 ffmpeg-linux64-v3.3.1
[root@mytest ffmpeg]# chmod 777 ffmpeg-linux64-v3.3.1
[root@mytest ffmpeg]# ll -as
total 313084
4 drwxr-xr-x 2 root root 4096 Apr 28 10:23 .
4 drwxr-xr-x 3 root root 4096 Apr 28 09:45 ..
20 -rw-r--r-- 1 root root 19944 Apr 28 10:23 0.mp3
268196 -rw-r--r-- 1 root root 274626116 Apr 28 10:22 a.avi
44860 -rwxrwxrwx 1 root root 45929032 Apr 28 10:17 ffmpeg-linux64-v3.3.1
[root@mytest ffmpeg]# ./ffmpeg-linux64-v3.3.1 -i 0.mp3 -i a.avi myunix.mp4
ffmpeg version N-86111-ga441aa90e8-static http://johnvansickle.com/ffmpeg/ Copyright (c) 2000-2017 the FFmpeg developers
built with gcc 5.4.1 (Debian 5.4.1-8) 20170304
configuration: --enable-gpl --enable-version3 --enable-static --disable-debug --disable-ffplay --disable-indev=sndio --disable-outdev=sndio --cc=gcc-5 --enable-fontconfig --enable-frei0r --enable-gnutls --enable-gray --enable-libass --enable-libfreetype --enable-libfribidi --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-librtmp --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libvidstab --enable-libvo-amrwbenc --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxvid --enable-libzimg
libavutil 55. 63.100 / 55. 63.100
libavcodec 57. 96.101 / 57. 96.101
libavformat 57. 72.101 / 57. 72.101
libavdevice 57. 7.100 / 57. 7.100
libavfilter 6. 89.101 / 6. 89.101
libswscale 4. 7.101 / 4. 7.101
libswresample 2. 8.100 / 2. 8.100
libpostproc 54. 6.100 / 54. 6.100
[mp3 @ 0x4ce7540] Estimating duration from bitrate, this may be inaccurate
Input #0, mp3, from '0.mp3':
Duration: 00:00:09.97, start: 0.000000, bitrate: 16 kb/s
Stream #0:0: Audio: mp3, 16000 Hz, mono, s16p, 16 kb/s
Input #1, avi, from 'a.avi':
Duration: 00:01:55.00, start: 0.000000, bitrate: 19104 kb/s
Stream #1:0: Video: mjpeg (MJPG / 0x47504A4D), yuvj420p(pc, bt470bg/unknown/unknown), 1200x414 [SAR 1:1 DAR 200:69], 19108 kb/s, 20 fps, 20 tbr, 20 tbn, 20 tbc
Stream mapping:
Stream #1:0 -> #0:0 (mjpeg (native) -> h264 (libx264))
Stream #0:0 -> #0:1 (mp3 (native) -> aac (native))
Press [q] to stop, [?] for help
No pixel format specified, yuvj420p for H.264 encoding chosen.
Use -pix_fmt yuv420p for compatibility with outdated media players.
[libx264 @ 0x4d05700] using SAR=1/1
[libx264 @ 0x4d05700] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 AVX2 LZCNT BMI2
[libx264 @ 0x4d05700] profile High, level 3.1
[libx264 @ 0x4d05700] 264 - core 148 r333 90a61ec - H.264/MPEG-4 AVC codec - Copyleft 2003-2017 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=12 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=20 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
Output #0, mp4, to 'myunix.mp4':
Metadata:
encoder : Lavf57.72.101
Stream #0:0: Video: h264 (libx264) ([33][0][0][0] / 0x0021), yuvj420p(pc, progressive), 1200x414 [SAR 1:1 DAR 200:69], q=-1--1, 20 fps, 10240 tbn, 20 tbc
Metadata:
encoder : Lavc57.96.101 libx264
Side data:
cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
Stream #0:1: Audio: aac (LC) ([64][0][0][0] / 0x0040), 16000 Hz, mono, fltp, 69 kb/s
Metadata:
encoder : Lavc57.96.101 aac
frame= 2300 fps=240 q=-1.0 Lsize= 2089kB time=00:01:54.85 bitrate= 149.0kbits/s speed= 12x
video:1972kB audio:86kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 1.509317%
[libx264 @ 0x4d05700] frame I:23 Avg QP:13.44 size: 84249
[libx264 @ 0x4d05700] frame P:575 Avg QP:14.62 size: 58
[libx264 @ 0x4d05700] frame B:1702 Avg QP:22.87 size: 28
[libx264 @ 0x4d05700] consecutive B-frames: 1.0% 0.0% 3.0% 96.0%
[libx264 @ 0x4d05700] mb I I16..4: 6.7% 74.6% 18.7%
[libx264 @ 0x4d05700] mb P I16..4: 0.0% 0.0% 0.0% P16..4: 0.4% 0.0% 0.0% 0.0% 0.0% skip:99.6%
[libx264 @ 0x4d05700] mb B I16..4: 0.0% 0.0% 0.0% B16..8: 0.1% 0.0% 0.0% direct: 0.0% skip:99.9% L0:11.1% L1:88.9% BI: 0.0%
[libx264 @ 0x4d05700] 8x8 transform intra:74.6% inter:69.0%
[libx264 @ 0x4d05700] coded y,uvDC,uvAC intra: 79.1% 83.5% 80.1% inter: 0.0% 0.1% 0.0%
[libx264 @ 0x4d05700] i16 v,h,dc,p: 41% 30% 6% 24%
[libx264 @ 0x4d05700] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 30% 24% 10% 4% 6% 5% 7% 6% 8%
[libx264 @ 0x4d05700] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 26% 24% 8% 6% 8% 7% 7% 7% 7%
[libx264 @ 0x4d05700] i8c dc,h,v,p: 40% 27% 21% 12%
[libx264 @ 0x4d05700] Weighted P-Frames: Y:0.0% UV:0.0%
[libx264 @ 0x4d05700] ref P L0: 98.4% 0.6% 0.8% 0.2%
[libx264 @ 0x4d05700] ref B L0: 77.3% 21.3% 1.4%
[libx264 @ 0x4d05700] ref B L1: 99.0% 1.0%
[libx264 @ 0x4d05700] kb/s:140.41
[aac @ 0x4d06ba0] Qavg: 32328.777
[root@mytest ffmpeg]# ll -as
total 315176
4 drwxr-xr-x 2 root root 4096 Apr 28 10:25 .
4 drwxr-xr-x 3 root root 4096 Apr 28 09:45 ..
20 -rw-r--r-- 1 root root 19944 Apr 28 10:23 0.mp3
268196 -rw-r--r-- 1 root root 274626116 Apr 28 10:22 a.avi
44860 -rwxrwxrwx 1 root root 45929032 Apr 28 10:17 ffmpeg-linux64-v3.3.1
2092 -rw-r--r-- 1 root root 2139319 Apr 28 10:25 myunix.mp4
[root@mytest ffmpeg]#
图文素材到位、声音到位、批量合成 。。。。
各个 模块 剥离
代码拆开
无限循环
对批量视频的尽可能短时间生成
import os
os_sep = os.sep
save_dir = '/data/xiaole_dl_img/dlDBimg'
mybanner_dir, mylogo_dir, mymp3_dir, myv_dir, myhtml_dir, myv_tmp_dir = '{}{}{}'.format(save_dir, os_sep,
'mybanner'), '{}{}{}'.format(
save_dir,
os_sep,
'mylogo'), '{}{}{}'.format(
save_dir, os_sep, 'mymp3'), '{}{}{}'.format(save_dir, os_sep, 'myv'), '{}{}{}'.format(save_dir, os_sep,
'myhtml'), '{}{}{}'.format(
save_dir, os_sep, 'myv_tmp')
f = 'uid.username.txt'
uid_d = {}
with open(f, 'r', encoding='utf-8') as fr:
for i in fr:
uid, un = i.replace('\n', '').split('\t')
uid_d[uid] = {}
uid_d[uid]['username'] = un
uid_d[uid]['banner_img_l'] = []
banner_img_dir = '{}{}{}'.format(mybanner_dir, os_sep, '*.*g')
#print(banner_img_dir)
import glob
banner_imgs = glob.glob(banner_img_dir)
#print(banner_imgs)
for uid in uid_d:
un = uid_d[uid]['username']
for i in banner_imgs:
if un in i:
uid_d[uid]['banner_img_l'].append(i)
uid_d_filter = {}
l = []
for uid in uid_d:
# if len(uid_d[uid]['banner_img_l']) > 2:
if len(uid_d[uid]['banner_img_l']) > 0:
uid_d_filter[uid] = {}
uid_d_filter[uid] = uid_d[uid]
l.append(uid)
del uid_d
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]
# 设置分句的标志符号；可以根据实际需要进行修改
cutlist = ['\n', '\t', '。', '；', '？', '.', ';', '?', '...', '、、、', '：', '!', '！']
cutlist = ['\n', '\t', '。', '；', '？', '.', '?', '...', '、、、', '!', '！']
# 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
'''
在标点符号正确的情况下分割出自然的句子
以句子为单位生成声音
'''
from aip import AipSpeech
bd_k_l = ['11131400', 'fGtMoYr1vVUbdvSGPTtknunt', 'x5IGwqiSu6C6EQQ6IhFAN6OZpGsOMK4W']
# bd_k_l = ['11059852', '5Kk01GtG2fjCwpzEkwdn0mjw', 'bp6Wyx377Elq7RsCQZzTBgGUFzLm8G2A']
APP_ID, API_KEY, SECRET_KEY = bd_k_l
def gen_bd_mp3(uid, str_, f_w):
mp3_dir = '{}{}'.format(mymp3_dir, os_sep)
client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
result = client.synthesis(str_, 'zh', 1, {
'vol': 5,
})
# 识别正确返回语音二进制 错误则返回dict 参照下面错误码
if not isinstance(result, dict):
# f_w = '{}{}{}{}'.format(mp3_dir, 'oneSen0419', uid, '.mp3')
# with open('auido.b.mp3', 'wb') as f:
with open(f_w, 'wb') as f:
f.write(result)
print('ok', f_w)
img_dir = '{}{}'.format(mybanner_dir, os_sep)
from bs4 import *
xls = 'XLS0419'
f = 'db.data.snap.txt'
uid_d = {}
'''
uid_d[uid]['sen_d'], uid_d[uid]['img_l'] = {}, []
uid_d[uid]['img_logo_uid'] = i
uid_d[uid]['img_logo_our'] = i
'''
import glob
f_img_d = '{}{}{}'.format(img_dir, os_sep, '*.jpg')
imgs = glob.glob(f_img_d)
f_img_d = '{}{}{}'.format(mylogo_dir, os_sep, '*.jpg')
imgs_logo = glob.glob(f_img_d)
our_logo_f = 'g3logo.jpg'
f_mp3_d = '{}{}{}'.format(mymp3_dir, os_sep, '*.mp3')
mpp3s = glob.glob(f_mp3_d)
import random
import time
with open(f, 'r', encoding='utf-8') as fr:
for i in fr:
ll = i.split(xls)
print(ll)
dbid, uid, username, html_ = [i.replace('\t', '') for i in ll]
print('---------------')
uid_d[uid] = {}
uid_d[uid]['dbid'], uid_d[uid]['username'], uid_d[uid]['str'] = dbid, username, html_
uid_d[uid]['sen_d'], uid_d[uid]['img_l'] = {}, []
uid_d[uid]['img_logo_our'] = '{}{}{}'.format(mylogo_dir, os_sep, our_logo_f)
# myhtml = 'D:\\myhtml\\{}tmp.html'.format(random.randint(123, 999))
myhtml = '{}{}{}tmp.html'.format(myhtml_dir, os_sep, random.randint(123, 999))
with open(myhtml, 'w', encoding='utf-8') as fw:
fw.write(html_)
with open(myhtml, 'r', encoding='utf-8') as myhtml_o:
bs = BeautifulSoup(myhtml_o, 'html.parser')
txt = bs.text
for i_img in imgs_logo:
if uid in i_img:
uid_d[uid]['img_logo_uid'] = i_img
break
# logo_url = 'http://img.a.g3user.com/site/34034975/logo.jpg'.replace('34034975', uid)
# spider_webimg_dl_return_local_img_path(img_dir, logo_url, uid, 'logo')
# img_url = [i.attrs['src'] for i in bs.find_all('img')]
# uid_n = 0
# for i in bs.find_all('img'):
# img_url = i.attrs['src']
# # spider_webimg_dl_return_local_img_path(img_dir, img_url, uid, uid_n)
# uid_n += 1
#
# for i_img in imgs:
# if uid in i_img:
# uid_d[uid]['img_l'].append(i_img)
uid_d[uid]['img_l'] = uid_d_filter[uid]['banner_img_l']
sentence_l = Cut(list(cutlist), list(txt))
sentence_l_noblank = []
for i in sentence_l:
if i != '\n' and len(i.replace(' ', '')) > 0:
sentence_l_noblank.append(i.replace('\n', ''))
uid_n = 0
for screen_str in sentence_l_noblank:
uid_sen = '{}{}{}'.format(uid, '_', uid_n)
f_w = '{}{}{}{}'.format(mymp3_dir, os_sep, '0428UNIX', uid_sen, '.mp3')
gen_bd_mp3(uid_sen, screen_str, f_w)
time.sleep(1)
uid_d[uid]['sen_d'][f_w] = screen_str
uid_n += 1
if uid_n % 5 == 0:
time.sleep(3)
pass
# time.sleep(1)
import os, time, glob, math
import imageio
imageio.plugins.ffmpeg.download()
from mutagen.easyid3 import EasyID3
from mutagen.mp3 import MP3
from PIL import Image, ImageDraw, ImageFont
import cv2
import numpy as np
def resize_rescale_pilimg(img_f, w_h_tuple, mid_factor=1):
img_n, img_type = img_f.split('.')[-2], img_f.split('.')[-1]
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')
img_type = 'PNG'
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
for uid in uid_d:
print(uid)
if 'img_logo_uid' not in uid_d[uid]:
continue
logo_f, logo_f_uid, imgs = uid_d[uid]['img_logo_our'], uid_d[uid]['img_logo_uid'], uid_d[uid]['img_l']
# res_v_f_dir = 'D:\\myvonline'
res_v_f_dir = myv_dir
f_img_d = '{}{}{}'.format(res_v_f_dir, os_sep, '*.mp4')
vs = glob.glob(f_img_d)
chk_v = '{}{}{}{}'.format(res_v_f_dir, os_sep, uid_d[uid]['dbid'], '.mp4')
t_spend_per_imgperiod = 5
res_v = '{}{}{}{}{}{}'.format(res_v_f_dir, os_sep, uid_d[uid]['dbid'], '_', t_spend_per_imgperiod, '.mp4')
chk_v = res_v
print(chk_v)
if chk_v in vs:
continue
img_size_d = {}
w_h_size_min = [12345, 12345]
for i in imgs:
img = cv2.imread(i)
w_h_s = '{},{}'.format(img.shape[1], img.shape[0])
w, h = [int(i) for i in w_h_s.split(',')]
if w * h < w_h_size_min[0] * w_h_size_min[1]:
w_h_size_min = [w, h]
if w_h_s not in img_size_d:
img_size_d[w_h_s] = 1
else:
img_size_d[w_h_s] += 1
# 取众数
mode_img_size_wh = [int(i) for i in
sorted(img_size_d.items(), key=lambda mytuple: mytuple[1], reverse=True)[0][0].split(',')]
if mode_img_size_wh[0] * mode_img_size_wh[1] > w_h_size_min[0] * w_h_size_min[1]:
mode_img_size_wh = w_h_size_min
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]
br_step_test_l = [0.0185, 0.0195, 0.02, 0.028]
br_step = math.floor((mode_img_size_wh[0]) * br_step_test_l[-1])
audio_spend = 0
for f_mp3 in uid_d[uid]['sen_d']:
screen_str = uid_d[uid]['sen_d'][f_mp3]
# 没有保存的必要
uid_sen = f_mp3.split(os_sep)[-1].split('.')[0]
had = False
# mp3_dir = 'D:\\mymp3\\'
f_mp3_d = '{}{}{}'.format(mymp3_dir, os_sep, '*.mp3')
mpp3s = glob.glob(f_mp3_d)
print(f_mp3)
if f_mp3 not in mpp3s:
if len(screen_str.replace(' ', '')) == 0:
screen_str = '{}{}'.format(screen_str, '谢谢。')
print(screen_str)
gen_bd_mp3(uid_sen, screen_str, f_mp3)
time.sleep(2)
EasyID3.valid_keys["comment"] = "COMM::'XXX'"
try:
id3info = MP3(f_mp3, ID3=EasyID3)
except Exception as e:
print(e)
continue
audio_spend += id3info.info.length
# f_v = '{}{}{}{}'.format('D:\\myv\\', uid, int(time.time()), '.avi')
f_v = '{}{}{}{}'.format(myv_dir, uid, int(time.time()), '.avi')
fps, fourcc = 20, cv2.VideoWriter_fourcc('M', 'J', 'P', 'G')
videoWriter = cv2.VideoWriter(f_v, fourcc, fps, (mode_img_size_wh[0], mode_img_size_wh[1]))
img_l_len = len(uid_d[uid]['img_l'])
t_spend_per_imgperiod = 5
t_spend_per_imgperiod_mod = audio_spend % t_spend_per_imgperiod
t_spend_per_imgperiod_times = math.floor(audio_spend / t_spend_per_imgperiod)
fps_loop_times_per_imgperiod = math.ceil(t_spend_per_imgperiod * fps)
imgname = ''
for myloop in range(t_spend_per_imgperiod_times):
imgname_ori = uid_d[uid]['img_l'][myloop % img_l_len]
imgname = uid_d[uid]['img_l'][myloop % img_l_len]
print(imgname)
frame = cv2.imread(imgname)
print(frame.shape[1], frame.shape[0])
if (frame.shape[1], frame.shape[0]) != (mode_img_size_wh[0], mode_img_size_wh[1]):
imgname = resize_rescale_pilimg(imgname, (mode_img_size_wh[0], mode_img_size_wh[1]))
frame = cv2.imread(imgname)
else:
pass
img1 = cv2.imread(imgname) # 加载图像
img2 = cv2.imread(logo_f_uid) # logo 客户在左边
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
img3 = cv2.imread(logo_f) # logo our在右边
rows, cols, channels = img3.shape
rows1, cols1, channels1 = img1.shape
roi = img1[0:rows, cols1 - cols:cols1] # 取img1的这个区域来处理
img3gray = cv2.cvtColor(img3, cv2.COLOR_BGR2GRAY) # 建立logo的二值图，也建立相反的二值图
ret, mask = cv2.threshold(img3gray, 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
img3_fg = cv2.bitwise_and(img3, img3, mask=mask_inv) # 与操作
dst = cv2.add(img1_bg, img3_fg) # 相加
img1[0:rows, cols1 - cols:cols1] = 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_size = math.floor((mode_img_size_wh[0]) * 0.040)
# font = ImageFont.truetype("simhei.ttf", font_size, encoding="utf-8")
# f_x, f_y = math.floor((mode_img_size_wh[0]) * 0.06), math.floor(
# mode_img_size_wh[1] * 0.85) - br_step_times * font_size
#
# screen_str = ''
#
# ImageDraw.Draw(frame_pil).text((f_x, f_y), screen_str, (255, 0, 0), font)
frame_cv2 = cv2.cvtColor(np.array(frame_pil), cv2.COLOR_RGB2BGR)
img = frame_cv2
fps_loop_times = t_spend_per_imgperiod * fps
for fps_loop in range(fps_loop_times):
videoWriter.write(img)
print('last')
print(imgname_ori)
new_l = uid_d[uid]['img_l']
new_l.remove(imgname_ori)
imgname = random.choice(new_l)
frame = cv2.imread(imgname)
print(frame.shape[1], frame.shape[0])
if (frame.shape[1], frame.shape[0]) != (mode_img_size_wh[0], mode_img_size_wh[1]):
imgname = resize_rescale_pilimg(imgname, (mode_img_size_wh[0], mode_img_size_wh[1]))
frame = cv2.imread(imgname)
else:
pass
img1 = cv2.imread(imgname) # 加载图像
img2 = cv2.imread(logo_f_uid) # logo 客户在左边
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
img3 = cv2.imread(logo_f) # logo our在右边
rows, cols, channels = img3.shape
rows1, cols1, channels1 = img1.shape
roi = img1[0:rows, cols1 - cols:cols1] # 取img1的这个区域来处理
img3gray = cv2.cvtColor(img3, cv2.COLOR_BGR2GRAY) # 建立logo的二值图，也建立相反的二值图
ret, mask = cv2.threshold(img3gray, 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
img3_fg = cv2.bitwise_and(img3, img3, mask=mask_inv) # 与操作
dst = cv2.add(img1_bg, img3_fg) # 相加
img1[0:rows, cols1 - cols:cols1] = 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_size = math.floor((mode_img_size_wh[0]) * 0.040)
# font = ImageFont.truetype("simhei.ttf", font_size, encoding="utf-8")
# f_x, f_y = math.floor((mode_img_size_wh[0]) * 0.06), math.floor(
# mode_img_size_wh[1] * 0.85) - br_step_times * font_size
#
# screen_str = ''
#
# ImageDraw.Draw(frame_pil).text((f_x, f_y), screen_str, (255, 0, 0), font)
frame_cv2 = cv2.cvtColor(np.array(frame_pil), cv2.COLOR_RGB2BGR)
img = frame_cv2
fps_loop_times = math.ceil(t_spend_per_imgperiod_mod * fps)
fps_loop_times = max(fps_loop_times, 1)
for fps_loop in range(fps_loop_times):
videoWriter.write(img)
videoWriter.release()
ffmpeg_f_dir = 'D:\\myv\\ffmpeg-20180331-be502ec-win64-static\\bin\\ffmpeg.exe'
res_mp3_f_dir = 'D:\\myv\\ffmpeg-20180331-be502ec-win64-static\\bin\\'
res_v_f_dir = 'D:\\myvonline'
res_v_f_dir =myv_dir
mp3_l = [k for k in uid_d[uid]['sen_d']]
mystep = 5
loop_times = math.ceil(len(mp3_l) / mystep)
mp3_2_l = []
for mp3cut in range(loop_times):
tmp_l = mp3_l[mp3cut * mystep:(mp3cut + 1) * mystep]
res_mp3_cut = '{}{}{}{}{}{}{}'.format(res_mp3_f_dir, int(time.time()), '_', uid, 'mp3cut', mp3cut, '.mp3')
d = '{}{}{}{}{}'.format(ffmpeg_f_dir, ' -i "concat:', '|'.join(tmp_l), '" -acodec copy ', res_mp3_cut)
print(d)
os.system(d)
time.sleep(3)
mp3_2_l.append(res_mp3_cut)
res_mp3 = '{}{}{}{}{}'.format(res_mp3_f_dir, int(time.time()), '_', uid, '.mp3')
# d = '{}{}{}{}{}'.format(ffmpeg_f_dir, ' -i "concat:', '|'.join(mp3_l), '" -acodec copy ', res_mp3)
d = '{}{}{}{}{}'.format(ffmpeg_f_dir, ' -i "concat:', '|'.join(mp3_2_l), '" -acodec copy ', res_mp3)
print(d)
os.system(d)
# time.sleep(audio_spend)
res_v = '{}{}{}{}{}'.format(res_v_f_dir, int(time.time()), '_', uid, '.mp4')
res_v = '{}{}{}{}{}{}'.format(res_v_f_dir, os_sep, uid_d[uid]['dbid'], '_', t_spend_per_imgperiod, '.mp4')
d = '{}{}{}{}{}{}{}'.format(ffmpeg_f_dir, ' -i ', res_mp3, ' -i ', f_v, ' ', res_v)
print(d)
os.system(d)
# time.sleep(audio_spend)
# time.sleep(30)
print('fffffffffff')
ssh://root@101.21.1.2:22/usr/bin/python -u /data/xiaole_dl_img/product.v.one.banner.fixedperiod.genv.nv.test.py
---------------
/data/xiaole_dl_img/dlDBimg/myv/49855227_5TEST.mp4
/data/xiaole_dl_img/dlDBimg/mybanner/my_BANNER_c2_20180126230709_39819.jpg
1200 414
/data/xiaole_dl_img/dlDBimg/mybanner/my_BANNER_c2_20180126230708_58430.jpg
1200 414
/data/xiaole_dl_img/dlDBimg/mybanner/my_BANNER_c2_20171016172703_47076.jpg
1200 414
/data/xiaole_dl_img/dlDBimg/mybanner/my_BANNER_c2_20180126230709_39819.jpg
1200 414
/data/xiaole_dl_img/dlDBimg/mybanner/my_BANNER_c2_20180126230709_39819.jpg
1200 414
/data/xiaole_dl_img/dlDBimg/mybanner/my_BANNER_c2_20180126230708_58430.jpg
1200 414
/data/xiaole_dl_img/dlDBimg/mybanner/my_BANNER_c2_20171016172703_47076.jpg
1200 414
/data/xiaole_dl_img/dlDBimg/mybanner/my_BANNER_c2_20180126230709_39819.jpg
1200 414
/data/xiaole_dl_img/dlDBimg/mybanner/my_BANNER_c2_20180126230709_39819.jpg
1200 414
/data/xiaole_dl_img/dlDBimg/mybanner/my_BANNER_c2_20180126230708_58430.jpg
1200 414
/data/xiaole_dl_img/dlDBimg/mybanner/my_BANNER_c2_20171016172703_47076.jpg
1200 414
/data/xiaole_dl_img/dlDBimg/mybanner/my_BANNER_c2_20180126230709_39819.jpg
1200 414
/data/xiaole_dl_img/dlDBimg/mybanner/my_BANNER_c2_20180126230709_39819.jpg
1200 414
last
/data/xiaole_dl_img/dlDBimg/mybanner/my_BANNER_c2_20180126230709_39819.jpg
1200 414
/root/.imageio/ffmpeg/ffmpeg-linux64-v3.3.1 -i "concat:/data/xiaole_dl_img/dlDBimg/mymp3/0428UNIX50001655_49855227_0.mp3" -acodec copy /data/xiaole_dl_img/dlDBimg/mymp3_middle/1524904948_50001655mp3cut0.mp3
ffmpeg version N-86111-ga441aa90e8-static http://johnvansickle.com/ffmpeg/ Copyright (c) 2000-2017 the FFmpeg developers
built with gcc 5.4.1 (Debian 5.4.1-8) 20170304
configuration: --enable-gpl --enable-version3 --enable-static --disable-debug --disable-ffplay --disable-indev=sndio --disable-outdev=sndio --cc=gcc-5 --enable-fontconfig --enable-frei0r --enable-gnutls --enable-gray --enable-libass --enable-libfreetype --enable-libfribidi --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-librtmp --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libvidstab --enable-libvo-amrwbenc --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxvid --enable-libzimg
libavutil 55. 63.100 / 55. 63.100
libavcodec 57. 96.101 / 57. 96.101
libavformat 57. 72.101 / 57. 72.101
libavdevice 57. 7.100 / 57. 7.100
libavfilter 6. 89.101 / 6. 89.101
libswscale 4. 7.101 / 4. 7.101
libswresample 2. 8.100 / 2. 8.100
libpostproc 54. 6.100 / 54. 6.100
[mp3 @ 0x5312480] Estimating duration from bitrate, this may be inaccurate
Input #0, mp3, from 'concat:/data/xiaole_dl_img/dlDBimg/mymp3/0428UNIX50001655_49855227_0.mp3':
Duration: 00:01:07.14, start: 0.000000, bitrate: 16 kb/s
Stream #0:0: Audio: mp3, 16000 Hz, mono, s16p, 16 kb/s
Output #0, mp3, to '/data/xiaole_dl_img/dlDBimg/mymp3_middle/1524904948_50001655mp3cut0.mp3':
Metadata:
TSSE : Lavf57.72.101
Stream #0:0: Audio: mp3, 16000 Hz, mono, s16p, 16 kb/s
Stream mapping:
Stream #0:0 -> #0:0 (copy)
Press [q] to stop, [?] for help
size= 131kB time=00:01:07.10 bitrate= 16.0kbits/s speed=7.53e+03x
video:0kB audio:131kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.167560%
/root/.imageio/ffmpeg/ffmpeg-linux64-v3.3.1 -i "concat:/data/xiaole_dl_img/dlDBimg/mymp3_middle/1524904948_50001655mp3cut0.mp3" -acodec copy /data/xiaole_dl_img/dlDBimg/mymp3_middle/1524904951_50001655.mp3
ffmpeg version N-86111-ga441aa90e8-static http://johnvansickle.com/ffmpeg/ Copyright (c) 2000-2017 the FFmpeg developers
built with gcc 5.4.1 (Debian 5.4.1-8) 20170304
configuration: --enable-gpl --enable-version3 --enable-static --disable-debug --disable-ffplay --disable-indev=sndio --disable-outdev=sndio --cc=gcc-5 --enable-fontconfig --enable-frei0r --enable-gnutls --enable-gray --enable-libass --enable-libfreetype --enable-libfribidi --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-librtmp --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libvidstab --enable-libvo-amrwbenc --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxvid --enable-libzimg
libavutil 55. 63.100 / 55. 63.100
libavcodec 57. 96.101 / 57. 96.101
libavformat 57. 72.101 / 57. 72.101
libavdevice 57. 7.100 / 57. 7.100
libavfilter 6. 89.101 / 6. 89.101
libswscale 4. 7.101 / 4. 7.101
libswresample 2. 8.100 / 2. 8.100
libpostproc 54. 6.100 / 54. 6.100
Input #0, mp3, from 'concat:/data/xiaole_dl_img/dlDBimg/mymp3_middle/1524904948_50001655mp3cut0.mp3':
Metadata:
encoder : Lavf57.72.101
Duration: 00:01:07.14, start: 0.033063, bitrate: 16 kb/s
Stream #0:0: Audio: mp3, 16000 Hz, mono, s16p, 16 kb/s
Output #0, mp3, to '/data/xiaole_dl_img/dlDBimg/mymp3_middle/1524904951_50001655.mp3':
Metadata:
TSSE : Lavf57.72.101
Stream #0:0: Audio: mp3, 16000 Hz, mono, s16p, 16 kb/s
Stream mapping:
Stream #0:0 -> #0:0 (copy)
Press [q] to stop, [?] for help
size= 131kB time=00:01:07.07 bitrate= 16.0kbits/s speed=7.69e+03x
video:0kB audio:131kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.167560%
/data/xiaole_dl_img/dlDBimg/myv/49855227_5TEST.mp4
/root/.imageio/ffmpeg/ffmpeg-linux64-v3.3.1 -i /data/xiaole_dl_img/dlDBimg/mymp3_middle/1524904951_50001655.mp3 -i /data/xiaole_dl_img/dlDBimg/myv_middle500016551524904938TEST.avi /data/xiaole_dl_img/dlDBimg/myv/49855227_5TEST.mp4
ffmpeg version N-86111-ga441aa90e8-static http://johnvansickle.com/ffmpeg/ Copyright (c) 2000-2017 the FFmpeg developers
built with gcc 5.4.1 (Debian 5.4.1-8) 20170304
configuration: --enable-gpl --enable-version3 --enable-static --disable-debug --disable-ffplay --disable-indev=sndio --disable-outdev=sndio --cc=gcc-5 --enable-fontconfig --enable-frei0r --enable-gnutls --enable-gray --enable-libass --enable-libfreetype --enable-libfribidi --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-librtmp --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libvidstab --enable-libvo-amrwbenc --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxvid --enable-libzimg
libavutil 55. 63.100 / 55. 63.100
libavcodec 57. 96.101 / 57. 96.101
libavformat 57. 72.101 / 57. 72.101
libavdevice 57. 7.100 / 57. 7.100
libavfilter 6. 89.101 / 6. 89.101
libswscale 4. 7.101 / 4. 7.101
libswresample 2. 8.100 / 2. 8.100
libpostproc 54. 6.100 / 54. 6.100
Input #0, mp3, from '/data/xiaole_dl_img/dlDBimg/mymp3_middle/1524904951_50001655.mp3':
Metadata:
encoder : Lavf57.72.101
Duration: 00:01:07.14, start: 0.033063, bitrate: 16 kb/s
Stream #0:0: Audio: mp3, 16000 Hz, mono, s16p, 16 kb/s
Input #1, avi, from '/data/xiaole_dl_img/dlDBimg/myv_middle500016551524904938TEST.avi':
Duration: 00:01:07.15, start: 0.000000, bitrate: 30906 kb/s
Stream #1:0: Video: mjpeg (MJPG / 0x47504A4D), yuvj420p(pc, bt470bg/unknown/unknown), 1200x414 [SAR 1:1 DAR 200:69], 30925 kb/s, 20 fps, 20 tbr, 20 tbn, 20 tbc
Stream mapping:
Stream #1:0 -> #0:0 (mjpeg (native) -> h264 (libx264))
Stream #0:0 -> #0:1 (mp3 (native) -> aac (native))
Press [q] to stop, [?] for help
No pixel format specified, yuvj420p for H.264 encoding chosen.
Use -pix_fmt yuv420p for compatibility with outdated media players.
[libx264 @ 0x565b1c0] using SAR=1/1
[libx264 @ 0x565b1c0] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 AVX2 LZCNT BMI2
[libx264 @ 0x565b1c0] profile High, level 3.1
[libx264 @ 0x565b1c0] 264 - core 148 r333 90a61ec - H.264/MPEG-4 AVC codec - Copyleft 2003-2017 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=12 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=20 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
Output #0, mp4, to '/data/xiaole_dl_img/dlDBimg/myv/49855227_5TEST.mp4':
Metadata:
encoder : Lavf57.72.101
Stream #0:0: Video: h264 (libx264) ([33][0][0][0] / 0x0021), yuvj420p(pc, progressive), 1200x414 [SAR 1:1 DAR 200:69], q=-1--1, 20 fps, 10240 tbn, 20 tbc
Metadata:
encoder : Lavc57.96.101 libx264
Side data:
cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
Stream #0:1: Audio: aac (LC) ([64][0][0][0] / 0x0040), 16000 Hz, mono, fltp, 69 kb/s
Metadata:
encoder : Lavc57.96.101 aac
frame= 1343 fps=175 q=-1.0 Lsize= 2242kB time=00:01:07.13 bitrate= 273.6kbits/s speed=8.74x
video:1633kB audio:573kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 1.640778%
[libx264 @ 0x565b1c0] frame I:10 Avg QP:15.61 size:162770
[libx264 @ 0x565b1c0] frame P:336 Avg QP:15.84 size: 56
[libx264 @ 0x565b1c0] frame B:997 Avg QP:20.75 size: 25
[libx264 @ 0x565b1c0] consecutive B-frames: 0.7% 0.1% 2.0% 97.1%
[libx264 @ 0x565b1c0] mb I I16..4: 1.6% 77.2% 21.2%
[libx264 @ 0x565b1c0] mb P I16..4: 0.0% 0.0% 0.0% P16..4: 0.4% 0.0% 0.0% 0.0% 0.0% skip:99.6%
[libx264 @ 0x565b1c0] mb B I16..4: 0.0% 0.0% 0.0% B16..8: 0.0% 0.0% 0.0% direct: 0.0% skip:100.0% L0:32.1% L1:67.9% BI: 0.0%
[libx264 @ 0x565b1c0] 8x8 transform intra:77.2% inter:36.3%
[libx264 @ 0x565b1c0] coded y,uvDC,uvAC intra: 95.6% 92.3% 86.8% inter: 0.0% 0.1% 0.0%
[libx264 @ 0x565b1c0] i16 v,h,dc,p: 16% 26% 23% 35%
[libx264 @ 0x565b1c0] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 19% 24% 17% 5% 6% 6% 8% 7% 9%
[libx264 @ 0x565b1c0] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 20% 18% 10% 8% 9% 8% 9% 9% 9%
[libx264 @ 0x565b1c0] i8c dc,h,v,p: 45% 24% 18% 13%
[libx264 @ 0x565b1c0] Weighted P-Frames: Y:0.0% UV:0.0%
[libx264 @ 0x565b1c0] ref P L0: 98.5% 0.1% 1.1% 0.4%
[libx264 @ 0x565b1c0] ref B L0: 67.5% 32.5%
[libx264 @ 0x565b1c0] ref B L1: 89.6% 10.4%
[libx264 @ 0x565b1c0] kb/s:199.16
[aac @ 0x565c660] Qavg: 48848.047
fffffffffff
Process finished with exit code 0
import glob
import os
import random
import time, math
import logging
start_time = time.strftime('%Y%m%d_%H%M%S', time.localtime(time.time()))
os_sep = os.sep
this_file_abspath, this_file_name = os.path.dirname(os.path.abspath(__file__)), os.path.abspath(__file__).split(os_sep)[
-1]
logf = this_file_name + '.log'
try:
logging.basicConfig(level=logging.INFO,
format='%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s[thread:%(thread)d][process:%(process)d]',
datefmt='%a, %d %b %Y %H:%M:%S',
filename=logf,
filemode='a')
except Exception as e:
s = '%s%s%s' % ('logging.basicConfig EXCEPTION ', time.strftime('%Y%m%d_%H%M%S', time.localtime(time.time())), e)
with open(logf, 'a') as fo:
fo.write(s)
os._exit(4002)
logging.info('START')
save_dir = '/data/xiaole_dl_img/dlDBimg'
mybanner_dir, mylogo_dir, mymp3_dir, myv_dir, myhtml_dir, myv_tmp_dir = '{}{}{}'.format(save_dir, os_sep,
'mybanner'), '{}{}{}'.format(
save_dir,
os_sep,
'mylogo'), '{}{}{}'.format(
save_dir, os_sep, 'mymp3'), '{}{}{}'.format(save_dir, os_sep, 'myv'), '{}{}{}'.format(save_dir, os_sep,
'myhtml'), '{}{}{}'.format(
save_dir, os_sep, 'myv_tmp')
# 0428UNIX50005499_32.mp3
today_s = '0428UNIX'
f_mp3_d = '{}{}{}'.format(mymp3_dir, os_sep, '*.mp3')
mp3s = glob.glob(f_mp3_d)
mp3s_uid_set = set([i.split(os_sep)[-1].split('_')[0].split(today_s)[-1] for i in mp3s])
f = 'uid.username.txt'
un_uid_d = {}
with open(f, 'r', encoding='utf-8') as fr:
for i in fr:
uid, un = i.replace('\n', '').split('\t')
un_uid_d[un] = uid
had_banner_uid_l = []
# beijingshifang_BANNER_c2_20161031091307_30624.jpg
f_banner_d = '{}{}{}'.format(mybanner_dir, os_sep, '*.*g')
banners = glob.glob(f_banner_d)
banners_un_set = set([i.split(os_sep)[-1].split('_BANNER_')[0] for i in banners])
for un in banners_un_set:
if un in un_uid_d:
uid = un_uid_d[un]
if uid not in had_banner_uid_l:
had_banner_uid_l.append(uid)
banners_uid_set = set(had_banner_uid_l)
# 34031923logo.jpg
f_logo_d = '{}{}{}'.format(mylogo_dir, os_sep, '*.*g')
logos = glob.glob(f_logo_d)
logos_uid_set = set([i.split(os_sep)[-1].split('logo.')[0] for i in logos])
banners_logos_set = banners_uid_set & logos_uid_set
gen_d, uid_d = {}, {}
banner_img_dir = '{}{}{}'.format(mybanner_dir, os_sep, '*.*g')
banner_imgs = glob.glob(banner_img_dir)
for uid in banners_logos_set:
uid_d[uid] = {}
un, logo_f_uid, imgs_l = '', '', []
for un_ in un_uid_d:
if un_uid_d[un_] == uid:
un = un_
for i in banners:
if un in i:
imgs_l.append(i)
for i in logos:
if uid in i:
logo_f_uid = i
uid_d[uid]['un'], uid_d[uid]['logo_f_uid'], uid_d[uid]['imgs_l'] = un, logo_f_uid, imgs_l
from bs4 import *
xls = 'XLS0419'
f = 'db.data.snap.txt'
f = 'db.data.snap428am.txt'
myp, myp_num = 5, 7
with open(f, 'r', encoding='utf-8') as fr:
for i in fr:
ll = i.split(xls)
dbid, uid, username, html_ = [i.replace('\t', '') for i in ll]
if uid not in uid_d:
continue
if int(dbid) % myp_num != myp:
# if int(dbid) != 49855227:
continue
# print(ll)
# if uid not in banners_logos_set:
# print('------------NOT in banners_logos_set')
# continue
#
# if uid not in mp3s_uid_set:
# print('------------uid not in mp3s_uid_set')
# continue
gen_d[dbid] = {}
gen_d[dbid]['uid'], gen_d[dbid]['mp3'] = uid, {}
print('---------------')
myhtml = '{}{}{}tmp.html'.format(myhtml_dir, os_sep, random.randint(123, 999))
with open(myhtml, 'w', encoding='utf-8') as fw:
fw.write(html_)
with open(myhtml, 'r', encoding='utf-8') as myhtml_o:
bs = BeautifulSoup(myhtml_o, 'html.parser')
txt = bs.text
# GOOD!!!! 字幕同步
# sentence_l = Cut(list(cutlist), list(txt))
# sentence_l_noblank = []
# for i in sentence_l:
# if i != '\n' and len(i.replace(' ', '')) > 0:
# sentence_l_noblank.append(i.replace('\n', ''))
# GOOD!!!!
str_per_len = 300
r_ = math.ceil(len(txt) / str_per_len)
sentence_l_noblank = [txt[i * str_per_len:(i + 1) * str_per_len] for i in range(r_)]
uid_n = 0
for screen_str in sentence_l_noblank:
uid_sen = '{}{}{}{}{}'.format(uid, '_', dbid, '_', uid_n)
f_w = '{}{}{}{}{}'.format(mymp3_dir, os_sep, '0428UNIX', uid_sen, '.mp3')
# print(screen_str)
gen_d[dbid]['mp3'][f_w] = ''
try:
# gen_bd_mp3(uid_sen, screen_str, f_w)
pass
except Exception as e:
l = [str(i) for i in [uid, uid_d[uid]['dbid'], e, screen_str]]
log_s = '||'.join(l)
logging.exception(log_s)
print(log_s)
import os, time, glob, math
import imageio
imageio.plugins.ffmpeg.download()
from mutagen.easyid3 import EasyID3
from mutagen.mp3 import MP3
from PIL import Image, ImageDraw, ImageFont
import cv2
import numpy as np
def resize_rescale_pilimg(img_f, w_h_tuple, mid_factor=1):
img_n, img_type = img_f.split('.')[-2], img_f.split('.')[-1]
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')
img_type = 'PNG'
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
logo_f = '{}{}{}'.format(mylogo_dir, os_sep, 'g3logo.jpg')
for dbid in gen_d:
s = '----------myp', myp, 'myp_num', myp_num, '-------------------'
print(s)
logging.info(s)
uid, mp3_l = gen_d[dbid]['uid'], gen_d[dbid]['mp3']
logo_f_uid, imgs_l = uid_d[uid]['logo_f_uid'], uid_d[uid]['imgs_l']
res_v_f_dir = myv_dir
f_img_d = '{}{}{}'.format(res_v_f_dir, os_sep, '*.mp4')
vs = glob.glob(f_img_d)
t_spend_per_imgperiod = 5
res_v = '{}{}{}{}{}{}'.format(res_v_f_dir, os_sep, dbid, '_', t_spend_per_imgperiod, '.mp4')
print(res_v)
if res_v in vs:
continue
img_size_d = {}
w_h_size_min = [12345, 12345]
first_one = imgs_l.append(imgs_l[int(time.time()) % len(imgs_l)])
imgs_l = [i for i in sorted(imgs_l, reverse=True)]
img_break = False
for i in imgs_l:
img = cv2.imread(i)
try:
w_h_s = '{},{}'.format(img.shape[1], img.shape[0])
except Exception as e:
l = [str(ii) for ii in [dbid, i, e, 'img_break']]
log_s = '||'.join(l)
logging.exception(log_s)
print(log_s)
img_break = True
break
w, h = [int(i) for i in w_h_s.split(',')]
if w * h < w_h_size_min[0] * w_h_size_min[1]:
w_h_size_min = [w, h]
if w_h_s not in img_size_d:
img_size_d[w_h_s] = 1
else:
img_size_d[w_h_s] += 1
if img_break:
continue
# 取众数
mode_img_size_wh = [int(i) for i in
sorted(img_size_d.items(), key=lambda mytuple: mytuple[1], reverse=True)[0][0].split(',')]
if mode_img_size_wh[0] * mode_img_size_wh[1] > w_h_size_min[0] * w_h_size_min[1]:
mode_img_size_wh = w_h_size_min
if mode_img_size_wh[0] * mode_img_size_wh[1] > 1200 * 414:
mode_img_size_wh = [1200, 414]
br_step_test_l = [0.0185, 0.0195, 0.02, 0.028]
br_step = math.floor((mode_img_size_wh[0]) * br_step_test_l[-1])
audio_spend = 0
for f_mp3 in mp3_l:
# gen mp3 --SMALL-DATA
EasyID3.valid_keys["comment"] = "COMM::'XXX'"
try:
id3info = MP3(f_mp3, ID3=EasyID3)
except Exception as e:
l = [str(i) for i in [dbid, f_mp3, e]]
log_s = '||'.join(l)
logging.exception(log_s)
print(log_s)
continue
audio_spend += id3info.info.length
# f_v = '{}{}{}{}'.format('D:\\myv\\', uid, int(time.time()), '.avi')
f_v = '{}{}{}{}'.format(myv_dir.replace('myv', 'myv_middle'), uid, int(time.time()), 'TEST.avi')
fps, fourcc = 20, cv2.VideoWriter_fourcc('M', 'J', 'P', 'G')
videoWriter = cv2.VideoWriter(f_v, fourcc, fps, (mode_img_size_wh[0], mode_img_size_wh[1]))
imgs_l_len = len(uid_d[uid]['imgs_l'])
t_spend_per_imgperiod = 5
t_spend_per_imgperiod_mod = audio_spend % t_spend_per_imgperiod
t_spend_per_imgperiod_times = math.floor(audio_spend / t_spend_per_imgperiod)
fps_loop_times_per_imgperiod = math.ceil(t_spend_per_imgperiod * fps)
imgname = ''
imgname_ori = ''
img_break = False
for myloop in range(t_spend_per_imgperiod_times):
imgname_ori = uid_d[uid]['imgs_l'][myloop % imgs_l_len]
imgname = uid_d[uid]['imgs_l'][myloop % imgs_l_len]
print(imgname)
frame = cv2.imread(imgname)
print(frame.shape[1], frame.shape[0])
if (frame.shape[1], frame.shape[0]) != (mode_img_size_wh[0], mode_img_size_wh[1]):
imgname = resize_rescale_pilimg(imgname, (mode_img_size_wh[0], mode_img_size_wh[1]))
frame = cv2.imread(imgname)
else:
pass
img1 = cv2.imread(imgname) # 加载图像
img2 = cv2.imread(logo_f_uid) # logo 客户在左边
rows, cols, channels = img2.shape
roi = img1[0:rows, 0:cols] # 取img1的这个区域来处理
try:
img2gray = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY) # 建立logo的二值图，也建立相反的二值图
except Exception as e:
l = [str(ii) for ii in [dbid, img2, e, 'img_break']]
log_s = '||'.join(l)
logging.exception(log_s)
print(log_s)
img_break = True
break
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
img3 = cv2.imread(logo_f) # logo our在右边
rows, cols, channels = img3.shape
rows1, cols1, channels1 = img1.shape
roi = img1[0:rows, cols1 - cols:cols1] # 取img1的这个区域来处理
img3gray = cv2.cvtColor(img3, cv2.COLOR_BGR2GRAY) # 建立logo的二值图，也建立相反的二值图
ret, mask = cv2.threshold(img3gray, 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
img3_fg = cv2.bitwise_and(img3, img3, mask=mask_inv) # 与操作
dst = cv2.add(img1_bg, img3_fg) # 相加
img1[0:rows, cols1 - cols:cols1] = 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_size = math.floor((mode_img_size_wh[0]) * 0.040)
# font = ImageFont.truetype("simhei.ttf", font_size, encoding="utf-8")
# f_x, f_y = math.floor((mode_img_size_wh[0]) * 0.06), math.floor(
# mode_img_size_wh[1] * 0.85) - br_step_times * font_size
#
# screen_str = ''
#
# ImageDraw.Draw(frame_pil).text((f_x, f_y), screen_str, (255, 0, 0), font)
frame_cv2 = cv2.cvtColor(np.array(frame_pil), cv2.COLOR_RGB2BGR)
img = frame_cv2
fps_loop_times = t_spend_per_imgperiod * fps
for fps_loop in range(fps_loop_times):
videoWriter.write(img)
if img_break:
continue
print('last')
print(imgname_ori)
if imgname_ori == '':
print('__________________')
l = [str(i) for i in [dbid, '', '']]
log_s = '||'.join(l)
logging.exception(log_s)
print(log_s)
continue
new_l = uid_d[uid]['imgs_l']
new_l.remove(imgname_ori)
imgname = random.choice(new_l)
frame = cv2.imread(imgname)
print(frame.shape[1], frame.shape[0])
if (frame.shape[1], frame.shape[0]) != (mode_img_size_wh[0], mode_img_size_wh[1]):
imgname = resize_rescale_pilimg(imgname, (mode_img_size_wh[0], mode_img_size_wh[1]))
frame = cv2.imread(imgname)
else:
pass
img1 = cv2.imread(imgname) # 加载图像
img2 = cv2.imread(logo_f_uid) # logo 客户在左边
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
img3 = cv2.imread(logo_f) # logo our在右边
rows, cols, channels = img3.shape
rows1, cols1, channels1 = img1.shape
roi = img1[0:rows, cols1 - cols:cols1] # 取img1的这个区域来处理
img3gray = cv2.cvtColor(img3, cv2.COLOR_BGR2GRAY) # 建立logo的二值图，也建立相反的二值图
ret, mask = cv2.threshold(img3gray, 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
img3_fg = cv2.bitwise_and(img3, img3, mask=mask_inv) # 与操作
dst = cv2.add(img1_bg, img3_fg) # 相加
img1[0:rows, cols1 - cols:cols1] = 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_size = math.floor((mode_img_size_wh[0]) * 0.040)
# font = ImageFont.truetype("simhei.ttf", font_size, encoding="utf-8")
# f_x, f_y = math.floor((mode_img_size_wh[0]) * 0.06), math.floor(
# mode_img_size_wh[1] * 0.85) - br_step_times * font_size
#
# screen_str = ''
#
# ImageDraw.Draw(frame_pil).text((f_x, f_y), screen_str, (255, 0, 0), font)
frame_cv2 = cv2.cvtColor(np.array(frame_pil), cv2.COLOR_RGB2BGR)
img = frame_cv2
fps_loop_times = math.ceil(t_spend_per_imgperiod_mod * fps)
fps_loop_times = max(fps_loop_times, 1)
for fps_loop in range(fps_loop_times):
videoWriter.write(img)
videoWriter.release()
# ffmpeg_f_dir = 'D:\\myv\\ffmpeg-20180331-be502ec-win64-static\\bin\\ffmpeg.exe'
# res_mp3_f_dir = 'D:\\myv\\ffmpeg-20180331-be502ec-win64-static\\bin\\'
# res_v_f_dir = 'D:\\myvonline'
# res_v_f_dir =myv_dir
#
ffmpeg_f_dir = '/root/.imageio/ffmpeg/ffmpeg-linux64-v3.3.1'
res_mp3_f_dir = '{}{}'.format(mymp3_dir.replace('mymp3', 'mymp3_middle'), os_sep)
res_v_f_dir = myv_dir
mp3_l_l = [i for i in mp3_l]
mp3_l = mp3_l_l
mystep = 5
loop_times = math.ceil(len(mp3_l) / mystep)
mp3_2_l = []
for mp3cut in range(loop_times):
tmp_l = mp3_l[mp3cut * mystep:(mp3cut + 1) * mystep]
res_mp3_cut = '{}{}{}{}{}{}{}'.format(res_mp3_f_dir, int(time.time()), '_', uid, 'mp3cut', mp3cut, '.mp3')
d = '{}{}{}{}{}'.format(ffmpeg_f_dir, ' -i "concat:', '|'.join(tmp_l), '" -acodec copy ', res_mp3_cut)
print(d)
os.system(d)
time.sleep(3)
mp3_2_l.append(res_mp3_cut)
res_mp3 = '{}{}{}{}{}'.format(res_mp3_f_dir, int(time.time()), '_', uid, '.mp3')
# d = '{}{}{}{}{}'.format(ffmpeg_f_dir, ' -i "concat:', '|'.join(mp3_l), '" -acodec copy ', res_mp3)
d = '{}{}{}{}{}'.format(ffmpeg_f_dir, ' -i "concat:', '|'.join(mp3_2_l), '" -acodec copy ', res_mp3)
print(d)
os.system(d)
# time.sleep(audio_spend)
# res_v = '{}{}{}{}{}{}'.format(res_v_f_dir, os_sep, uid_d[uid]['dbid'], '_', t_spend_per_imgperiod, 'TEST.mp4')
print(res_v)
d = '{}{}{}{}{}{}{}'.format(ffmpeg_f_dir, ' -i ', res_mp3, ' -i ', f_v, ' ', res_v)
print(d)
os.system(d)
# time.sleep(audio_spend)
# time.sleep(30)
print('fffffffffff')
