MyLibrary2 のバックアップ(No.24)

私的AI研究会 >MyLibrary2

Python 私的汎用ライブラリ２ †

　適宜再利用できそうなプログラムをライブラリ化するその２

Python 私的汎用ライブラリ２
参考資料

※ 最終更新:2024/09/01　

↑

作成モジュールの配置 †

プロジェクト・パッケージ project_mylib.zip (469MB) <mylib> をダウンロード
・解凍してできるフォルダ

project_mylib
├─workspace
│  └─lib
│      └─images
├─workspace_2
│  └─mylib2
│      ├─mylib_test
│      └─result
└─workspace_py37
    └─mylib
        └─mylib_test

・解凍してできる「project_mylib/」フォルダ内を上書きコピーする

　　Windows の場合　

「X:/anaconda/win/workspace_2/_mylib2」ディレクトリに配置する。
環境変数 PYTHONPATH を設定（追加）する
```
PYTHONPATH = X:\anaconda_win\workspace_2\mylib2
```

環境変数（PYTHONPATH）の確認

> echo $env:PYTHONPATH
X:\anaconda_win\workspace\lib;X:\anaconda_win\workspace_py37\mylib;X:\anaconda_win\workspace_2\mylib2;

　　Linux の場合　

「~/workspace_2/mylib2」ディレクトリに配置する。
「~/.bashrc」ファイルの最後に以下を追記する。
```
export PYTHONPATH=$PYTHONPATH:$HOME/workspace_2/mylib2
```

環境変数（PYTHONPATH）の確認

$ printenv PYTHONPATH
:/home/XXXXX/workspace_2/mylib2

モジュールのテストに必要なデータファイルがあれば「workspace_2/mylib2/mylib_test/」内に置く。

↑

画像編集パッケージ †

↑

動画編集「my_videotool.py」 †

　「matplotlib.animation」を利用して動画編集をする

関数メソッド (パラメータ詳細はソースコード参照)

機能	戻り値	関数
指定サイズ内に縦横比を維持したサイズを得る	bf, h, w	check_size(img_h, img_w, maxsize=0)
静止画のリサイズ	image	image_resize(image, size=(256, 256))
動画のリサイズ	video	video_resize(video, size=(256, 256))
静止画と動画 2枚の連結	animation	img_movie3x1(image, video, video2=None, interval=30, deley=0, pixel_size=(256,256), dpi=64)
3枚の動画フレームを連結	animation	merge3x1_ex(listpath, interval=30, deley=0, pixel_size=(256,256), dpi=64):
3枚の動画フレームを連結	animation	merge3x1(source, interval=30, deley=0, pixel_size=(256,256), dpi=64)
4枚の動画フレームを連結	animation	merge2x2(source, interval=30, deley=0, pixel_size=(256,256), dpi=64)
4枚の動画フレームを連結	animation	merge2x2_ex(listpath, interval=30, deley=0, pixel_size=(256,256), dpi=64)
6枚の動画フレームを連結	animation	merge3x2_ex(listpath, interval=30, deley=0, pixel_size=(256,256), dpi=64)
6枚の動画フレームを連結	animation	merge3x2(source, interval=30, deley=0, pixel_size=(256,256), dpi=64)
結果動画の表示と保存（終了処理）	-	save_video(ani, save_path, dispf=False)
動画ファイルを読み出す	video, fps	read_video(filepath))
動画ファイルを読み出す（PIL）	images, fps	video2frames(filepath, maxsize = 0)
音声トラックを追加	True/False	add_audio(source_path, save_path, log_f=True)
リストファイルの読み込み	filelist	read_listfile(filepath, log_f=True)
mp4をmp3/wavに変換	True/False	mp4_mp3_convert(source_path, save_path, log_f=True)
動画(mp4/gif)をgifに変換	True/False	mp4_gif_convert(source_path, save_path, loop_f=0, maxsize=0)

モジュール・テスト「my_videotool.py」

・コマンドパラメータ

パラメータ	テスト内容
0	静止画と動画 2枚の連結
1	6枚の動画フレームを連結（規定値）
2	4枚の動画フレームを連結（規定値）
3	3枚の動画フレームを連結（規定値）
4	音声トラックを追加
5	リストファイルの読み込み
6	mp4をmp3/wavに変換
7	mp4をgifに変換
10	リストファイルから 6枚の動画フレームを連結
20	リストファイルから 4枚の動画フレームを連結
30	リストファイルから 3枚の動画フレームを連結
40	音声トラックを追加
60	mp4をmp3/wavに変換
70	mp4をgifに変換

$ python my_videotool.py <option:0/1/2/3/4/5>
$ python my_videotool.py <option:10/20/30/40> <listfile> <savefile>

・テスト・コマンド実行ログ

(py38_learn) python my_videotool.py 0
 Source file → './mylib_test/filelist.txt'
   image file     → './mylib_test/04.jpg'
   driving file   → './mylib_test/2.mp4'
   generated file → './mylib_test/04_output.mp4'
 Saving mpeg file → 'test_anim.mp4'
 Saving gif  file → 'test_anim.gif'

(py38_learn) python my_videotool.py 1
 Source file → './mylib_test/filelist_1.txt'
 Saving mpeg file → 'test_anim1.mp4'
 Saving gif  file → 'test_anim1.gif'

(py38_learn) python my_videotool.py 2
 Source file → './mylib_test/filelist_2.txt'
 Saving mpeg file → 'test_anim2.mp4'
 Saving gif  file → 'test_anim2.gif'

(py38_learn) python my_videotool.py 3
 Source file → './mylib_test/filelist_3.txt'
 Saving mpeg file → 'test_anim3.mp4'
 Saving gif  file → 'test_anim3.gif'

(py38_learn) python my_videotool.py 4
 Source file → './mylib_test/01_video_256.mp4'
 Saving file → 'h1_13_out.mp4'

(py38_learn) python my_videotool.py 5
 Source file → './mylib_test/filelist_1.txt'
 get data: ['./mylib_test/2.mp4', './mylib_test/mon_output.mp4', './mylib_test/statue-02_output.mp4', './mylib_test/04_output.mp4', './mylib_test/pic3_output.mp4', './mylib_test/f_tsuchiya_1_output.mp4']

(py38_learn) python my_videotool.py 6
 Source file → './mylib_test/01_video_256.mp4'
 Saving file → '01_video_256.mp3'

(py38_learn) python my_videotool.py 7
 Source file → './mylib_test/01_video_256.mp4'
 Saving file → '01_video_256.gif'

モジュール・ソースコード

▼「my_videotool.py」

# -*- coding: utf-8 -*-
##------------------------------------------
##   My Library Video Tool  Ver 0.03
##      「matplotlib」を利用した動画編集
##
##               2024.06.14 Masahiro Izutsu
##------------------------------------------
## my_videotool.py
##
##      Ver 0.02    2024.07.06  MP4→GIF 変換追加
##      Ver 0.03    2024.07.11  動画(MP4/GIF)→GIF 変換にサイズ変更機能追加

# Color Escape Code
GREEN = '\033[1;32m'
RED = '\033[1;31m'
NOCOLOR = '\033[0m'
YELLOW = '\033[1;33m'

import imageio.v2 as imageio
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from skimage.transform import resize
import ffmpeg
import tempfile
from shutil import copyfileobj
import cv2
from PIL import Image

# イメージサイズを調べる（指定サイズ内に縦横比を維持したサイズを得る）*
#   入力　: img_h, img_w    縦サイズ, 横サイズ
#   戻り値: bf  処理フラグ（Faulse = 変更なし, True = サイズ変更）, h, w
def check_size(img_h, img_w, maxsize = 0):
    h = img_h
    w = img_w
    bf = False
    if maxsize > 0:
        if (img_w > img_h):
            if (img_w > maxsize):
                h = round(img_h * (maxsize / img_w))
                w = maxsize
                bf = True
        else:
            if (img_h > maxsize):
                w =  round(img_w * (maxsize / img_h))
                h = maxsize
                bf = True
    return bf, h, w


# 静止画のリサイズ *
def image_resize(image, size = (256, 256)):
    image = resize(image, size)[..., :3]
    return image

# 動画のリサイズ *
def video_resize(video, size = (256, 256)):
    video = [resize(frame, size)[..., :3] for frame in video]
    return video

# 静止画 と 動画 2枚 の連結
def img_movie3x1(image, video, video2 = None, interval = 30, deley = 0, pixel_size = (256,256), dpi = 64):
    # ピクセル → インチ変換
    x_inch = pixel_size[0] / dpi
    y_inch = pixel_size[1] / dpi

    # リサイズ
    image = image_resize(image, pixel_size)
    video = video_resize(video, pixel_size)
    if video2 is not None:
        video2 = video_resize(video2, pixel_size)

    fig = plt.figure(figsize = (x_inch * 2 + x_inch * (video2 is not None), y_inch), dpi = dpi)
    fig.subplots_adjust(left=0, right=1, bottom=0, top=1)
    ims = []
    for i in range(len(video)):
        cols = [image]
        cols.append(video[i])
        if video2 is not None:
            cols.append(video2[i])
        im = plt.imshow(np.concatenate(cols, axis=1), animated = True)
        plt.axis('off')
        ims.append([im])

    ani = animation.ArtistAnimation(fig, ims, interval=interval + 3.4)      # フレームレート補正
    return ani

# 3枚の動画フレームを連結
def merge3x1_ex(listpath, interval = 30, deley = 0, pixel_size = (256,256), dpi = 64):
    return merge3x1(read_listfile(listpath))

def merge3x1(source, interval = 30, deley = 0, pixel_size = (256,256), dpi = 64):
    # ピクセル → インチ変換
    x_inch = pixel_size[0] / dpi
    y_inch = pixel_size[1] / dpi

    result = []
    for file_path in source:
        video = imageio.mimread(file_path, memtest = False)
        result.append(video_resize(video, pixel_size))

    fig = plt.figure(figsize = (x_inch * 3, y_inch), dpi = 64)
    fig.subplots_adjust(left=0, right=1, bottom=0, top=1)
    ims =[]
    for i in range(len(result[0])):
        x = np.concatenate([result[0][i], result[1][i], result[2][i]],1)
        z = np.concatenate([x])
        im = plt.imshow(z, animated=True)
        plt.axis('off')
        ims.append([im])

    ani = animation.ArtistAnimation(fig, ims, interval=interval + 3.36)     # フレームレート補正
    return ani

# 4枚の動画フレームを連結
def merge2x2_ex(listpath, interval = 30, deley = 0, pixel_size = (256,256), dpi = 64):
    return merge2x2(read_listfile(listpath))

def merge2x2(source, interval = 30, deley = 0, pixel_size = (256,256), dpi = 64):
    # ピクセル → インチ変換
    x_inch = pixel_size[0] / dpi
    y_inch = pixel_size[1] / dpi

    result = []
    for file_path in source:
        video = imageio.mimread(file_path, memtest = False)
        result.append(video_resize(video, pixel_size))

    fig = plt.figure(figsize = (x_inch * 2, y_inch * 2), dpi = 64)
    fig.subplots_adjust(left=0, right=1, bottom=0, top=1)
    ims =[]
    for i in range(len(result[0])):
        x = np.concatenate([result[0][i], result[1][i]],1)
        y = np.concatenate([result[2][i], result[3][i]],1)
        z = np.concatenate([x, y])
        im = plt.imshow(z, animated=True)
        plt.axis('off')
        ims.append([im])

    ani = animation.ArtistAnimation(fig, ims, interval=interval + 3.36)     # フレームレート補正
    return ani

# 6枚の動画フレームを連結
def merge3x2_ex(listpath, interval = 30, deley = 0, pixel_size = (256,256), dpi = 64):
    return merge3x2(read_listfile(listpath))

def merge3x2(source, interval = 30, deley = 0, pixel_size = (256,256), dpi = 64):
    # ピクセル → インチ変換
    x_inch = pixel_size[0] / dpi
    y_inch = pixel_size[1] / dpi

    result = []
    for file_path in source:
        video = imageio.mimread(file_path, memtest = False)
        result.append(video_resize(video, pixel_size))

    fig = plt.figure(figsize = (x_inch * 3, y_inch * 2), dpi = 64)
    fig.subplots_adjust(left=0, right=1, bottom=0, top=1)
    ims =[]
    for i in range(len(result[0])):
        x = np.concatenate([result[0][i], result[1][i], result[2][i]],1)
        y = np.concatenate([result[3][i], result[4][i], result[5][i]],1)
        z = np.concatenate([x, y])
        im = plt.imshow(z, animated=True)
        plt.axis('off')
        ims.append([im])

    ani = animation.ArtistAnimation(fig, ims, interval=interval + 3.36)     # フレームレート補正
    return ani


# 結果動画の表示と保存（終了処理）
def save_video(ani, save_path, dispf = False):
    if len(save_path) > 0:
        ani.save(save_path)
    if dispf:
        plt.show()
    plt.close()
    return

# 動画ファイルを読み出す
#   戻り値: video... 動画配列
#           fps      速度（fps）
def read_video(filepath):
    reader = imageio.get_reader(filepath)
    fps = reader.get_meta_data()['fps']
    video = []
    try:
        for im in reader:
            video.append(im)
    except RuntimeError:
        pass
    reader.close()

    return video, fps

# 動画ファイルを読み出す（PIL）
#   入力　: filepath    画像ファイルパス
#           maxsize     最大サイズ（個のサイズより大きい時は縮小）
#   戻り値: images...   動画配列(PIL)
#           fps         速度（fps）
def video2frames(filepath, maxsize = 0):
    cap = cv2.VideoCapture(filepath)
    fps = cap.get(cv2.CAP_PROP_FPS)

    if not cap.isOpened():
        return None, None
    
    # Pillowの画像リスト
    images = []

    while True:
        ret, frame = cap.read()
        if ret:
            if maxsize > 0:
                img_h, img_w = frame.shape[:2]
                bf, img_h, img_w = check_size(img_h, img_w, maxsize)
                if bf:
                    frame = cv2.resize(frame, (img_w, img_h))

            # BGR を RGB に変換
            rgb_image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

            # Pillow画像リストに追加
            pillow_image = Image.fromarray(rgb_image)
            images.append(pillow_image)

        else:
            return images, fps

# 動画(mp4/gif)をgifに変換
def mp4_gif_convert(source_path, save_path, loop_f = True, maxsize = 0):
    images, fps = video2frames(source_path, maxsize = maxsize)
    if images != None:
        dur = int(1000.0 / fps)
        if loop_f:
            images[0].save(save_path, save_all=True, append_images = images[1:], duration = dur, loop = 0)
        else:
            images[0].save(save_path, save_all=True, append_images = images[1:], duration = dur)

# 音声トラックを追加
def add_audio(source_path, save_path, log_f = True):
    result = True
    try:
        with tempfile.TemporaryDirectory() as str_temp_dir:
            tmpfile = f"{str_temp_dir}/temp.mp4"
            ffmpeg.output(ffmpeg.input(save_path).video, ffmpeg.input(source_path).audio, tmpfile, c='copy').run(quiet=True)
            with open(save_path, 'wb') as result:
                with open(tmpfile, 'rb') as output:
                    copyfileobj(output, result)
    except ffmpeg.Error:
        if log_f:
            print(RED + f"Failed to copy audio: no audio track or the audio format is invalid." + NOCOLOR)
        result = False

    return result

# mp4をmp3/wavに変換
def mp4_mp3_convert(source_path, save_path, log_f = True):
    result = True
    stream = ffmpeg.input(source_path) 
    stream = ffmpeg.output(stream, save_path) 
    try:
        ffmpeg.run(stream, quiet=True, overwrite_output=True)
    except ffmpeg.Error:
        if log_f:
            print(RED + f"Failed to copy audio: no audio track or the audio format is invalid." + NOCOLOR)
        result = False

    return result

# リストファイルの読み込み
#   戻り値: filelist... ファイルリスト
def read_listfile(filepath, log_f = True):

    try:
        f = open(filepath, 'r')
        list = f.readlines()
        filelist = [item[:-1] for item in list]

    except Exception as e:
        if log_f:
            print(RED + f'{e}' + NOCOLOR)
        filelist = []

    return filelist

#-----Test routine-----
# $ python my_videotool.py <option:0/1/2/3/4/5/6/7>
# $ python my_videotool.py <option:10/20/30/40/50/60/70> <listfile> <savefile>
#
if __name__ == "__main__":
    import os, sys
    import my_dialog

    args = sys.argv
    sel = '0' if len(args) <= 1 else args[1]

    if sel == '0':                                      # 静止画 と 動画 2枚 の連結
        source_path = './mylib_test/filelist.txt'
        save_path1 = 'test_anim.mp4'
        save_path2 = 'test_anim.gif'

        source_list = read_listfile(source_path)
        image_path = source_list[0]
        driving_path = source_list[1]
        generated_path = source_list[2]

        print(f" Source file → '{source_path}'")
        print(f"   image file     → '{image_path}'")
        print(f"   driving file   → '{driving_path}'")
        print(f"   generated file → '{generated_path}'")
        print(f" Saving mpeg file → '{save_path1}'")
        print(f" Saving gif  file → '{save_path2}'")

        source_image = imageio.imread(image_path)
        driving_video = imageio.mimread(driving_path, memtest = False)
        generated_video = imageio.mimread(generated_path, memtest = False)
        ani = img_movie3x1(source_image, driving_video, generated_video)
        save_video(ani, save_path1, True)
        save_video(ani, save_path2)

    elif sel == '1':                                    # 3枚の動画フレームを連結（規定値）
        source_path = './mylib_test/filelist_1.txt'
        save_path1 = 'test_anim1.mp4'
        save_path2 = 'test_anim1.gif'

        print(f" Source file → '{source_path}'")
        print(f" Saving mpeg file → '{save_path1}'")
        print(f" Saving gif  file → '{save_path2}'")

        ani = merge3x2_ex(source_path)
        save_video(ani, save_path1, True)
        save_video(ani, save_path2)

    elif sel == '2':                                    # 4枚の動画フレームを連結（規定値）
        source_path = './mylib_test/filelist_2.txt'
        save_path1 = 'test_anim2.mp4'
        save_path2 = 'test_anim2.gif'

        print(f" Source file → '{source_path}'")
        print(f" Saving mpeg file → '{save_path1}'")
        print(f" Saving gif  file → '{save_path2}'")

        ani = merge2x2_ex(source_path)
        save_video(ani, save_path1, True)
        save_video(ani, save_path2)

    elif sel == '3':                                    # 3枚の動画フレームを連結（規定値）
        source_path = './mylib_test/filelist_3.txt'
        save_path1 = 'test_anim3.mp4'
        save_path2 = 'test_anim3.gif'

        print(f" Source file → '{source_path}'")
        print(f" Saving mpeg file → '{save_path1}'")
        print(f" Saving gif  file → '{save_path2}'")

        ani = merge3x1_ex(source_path)
        save_video(ani, save_path1, True)
        save_video(ani, save_path2)

    elif sel == '4':                                    # 音声トラックを追加
        source_path = './mylib_test/01_video_256.mp4'
        save_path = 'h1_13_out.mp4'

        print(f" Source file → '{source_path}'")
        print(f" Saving file → '{save_path}'")

        add_audio(source_path, save_path)

    elif sel == '5':                                    # リストファイルの読み込み
        source_path = './mylib_test/filelist_1.txt'
        print(f" Source file → '{source_path}'")

        files = read_listfile('./mylib_test/filelist_1.txt')
        print(f" get data: {files}")

    elif sel == '6':                                    # mp4をmp3/wavに変換
        source_path = './mylib_test/01_video_256.mp4'
        save_path = './mylib_test/01_video_256.wav'

        print(f" Source file → '{source_path}'")
        print(f" Saving file → '{save_path}'")

        mp4_mp3_convert(source_path, save_path)

    elif sel == '7':                                    # mp4をgifに変換
        source_path = './mylib_test/01_video_256.mp4'
        save_path = './mylib_test/01_video_256.gif'

        print(f" Source file → '{source_path}'")
        print(f" Saving file → '{save_path}'")

        mp4_gif_convert(source_path, save_path)

    else:
        if len(args) == 4:
            source_path = args[2]
            save_path = args[3]
            print(f" Source file → '{source_path}'")
            print(f" Saving file → '{save_path}'")

            if sel == '10':                             # 6枚の動画フレームを連結
                ani = merge3x2_ex(source_path)
                save_video(ani, save_path, True)

            elif sel == '20':                           # 4枚の動画フレームを連結
                ani = merge2x2_ex(source_path)
                save_video(ani, save_path, True)

            elif sel == '30':                           # 3枚の動画フレームを連結
                ani = merge3x1_ex(source_path)
                save_video(ani, save_path, True)

            elif sel == '40':                           # 音声トラックを追加
                add_audio(source_path, save_path)

            elif sel == '60':                           # mp4をmp3/wavに変換
                mp4_mp3_convert(source_path, save_path)

            elif sel == '70':                           # mp4をgifに変換
                mp4_gif_convert(source_path, save_path)

↑

画像編集「my_imagetool.py」 †

　「opencv」を利用した画像編集

関数メソッド (パラメータ詳細はソースコード参照)

機能	戻り値	関数
指定サイズ内に縦横比を維持したサイズを得る	bf, h, w	check_size(img_h, img_w, maxsize=0)
アスペクト比を固定して画像をリサイズ	image	frame_resize(image, maxsize)
画像を正方形にする（長いほうの辺で）	image	frame_square(image, color=(255, 255, 255))
結果の表示と保存（終了処理）	-	image_disp(image, winname='ImageTool', dispf=True, save_path='', maxsize=0, wait_s=0)
画像の種類を判別する（imghdr 非推奨対応）	None/True/False	is_pict(filename)
イメージを表示	-	image2disp(filepath='cam', winname='', savepath='', maxsize=0, loop_f=False)
画像をタイル状に並べる	ds_image	make_tileimage(images, xmax=WINDOW_WIDTH, ymax=WINDOW_WIDTH)
パスのリストから画像イメージリストを得る	images	filelist2image(img_path)

モジュール・テスト「my_imagetool.py」

・コマンドパラメータ

パラメータ	テスト内容
0	アスペクト比を固定して画像をリサイズ
1	画像を正方形にする（長いほうの辺で）
2	結果の表示と保存（終了処理）
3	イメージを表示（カメラ入力）
4	イメージを表示（動画/静止画）
5	画像をタイル状に並べて表示

$ python my_imagetool.py {0/1/...}

・テスト・コマンド

(py38_learn) python my_imagetool.py 0
...../mylib_test/04.jpg → ./04_out.jpg

(py38_learn) python my_imagetool.py 1
...../mylib_test/fashion003.png → ./fashion003_out.png

(py38_learn) python my_imagetool.py 2

(py38_learn) python my_imagetool.py 3

(py38_learn) python my_imagetool.py 4

モジュール・ソースコード

▼「my_imagetool.py」

# -*- coding: utf-8 -*-
##------------------------------------------
##   My Library Image Tool  Ver 0.05
##
##               2024.06.14 Masahiro Izutsu
##------------------------------------------
## my_imagetool.py
##      Ver 0.02    2024/06/27  動画表示にループ再生フラグを追加
##      Ver 0.03    2024/07/09  静止画/動画リサイズ表示
##      Ver 0.04    2024/07/11  静止画/動画リサイズ表示/記録機能追加
##      Ver 0.05    2024/07/19  静止画タイル表示機能追加
##      Ver 0.06    2024.07.23  静止画表示 wait追加
##      Ver 0.07    2024.08.31  fps 対応処理

# Color Escape Code
GREEN = '\033[1;32m'
RED = '\033[1;31m'
NOCOLOR = '\033[0m'
YELLOW = '\033[1;33m'
CYAN = '\033[1;36m'

# 定数定義
WINDOW_WIDTH = 960

import os
import cv2
import my_winstat
import numpy as np
import time

# イメージサイズを調べる（指定サイズ内に縦横比を維持したサイズを得る）*
#   入力　: img_h, img_w    縦サイズ, 横サイズ
#   戻り値: bf  処理フラグ（Faulse = 変更なし, True = サイズ変更）
def check_size(img_h, img_w, maxsize = 0):
    h = img_h
    w = img_w
    bf = False
    if maxsize > 0:
        if (img_w > img_h):
            if (img_w > maxsize):
                h = round(img_h * (maxsize / img_w))
                w = maxsize
                bf = True
        else:
            if (img_h > maxsize):
                w =  round(img_w * (maxsize / img_h))
                h = maxsize
                bf = True
    return bf, h, w

# アスペクト比を固定して画像をリサイズ
def frame_resize(image, maxsize):

    img_h, img_w = image.shape[:2]
    bf, img_h, img_w = check_size(img_h, img_w, maxsize = maxsize)
    if bf:
        image = cv2.resize(image, dsize = (img_w, img_h))


    '''
    if maxsize > 10:
        img_h, img_w = image.shape[:2]
        if (img_w > img_h):
            if (img_w > maxsize):
                height = round(img_h * (maxsize / img_w))
                image = cv2.resize(image, dsize = (maxsize, height))
        else:
            if (img_h > maxsize):
                width =  round(img_w * (maxsize / img_h))
                image = cv2.resize(image, dsize = (width, maxsize))
    '''
    return image

# 画像を正方形にする（長いほうの辺で）
def frame_square(image, color = (255, 255, 255)):
    img_h, img_w = image.shape[:2]
    x0 = 0
    y0 = 0
    x1 = 0
    y1 = 0
    if img_h > img_w:
        size = img_h
        x0 = int((size - img_w) / 2)
        x1 = x0 + img_w
        y1 = size
    else:
        size = img_w
        y0 = int((size - img_h) / 2)
        y1 = y0 + img_h
        x1 = size

    # 白ベースの画像を生成
    dist = np.array([size, size, 3])                    # 縦×横 3チャンネル
    img = np.full(dist, color, dtype=np.uint8)
    img[y0:y1, x0:x1] = image                          # 中央に貼り付け
    return img

## 結果の表示と保存（終了処理）
def image_disp(image, winname = 'ImageTool', dispf = True, save_path = '', maxsize = 0, wait_s = 0):
    if len(save_path) > 0:
        cv2.imwrite(save_path, image)
    if dispf:
        image = frame_resize(image, maxsize)            # Ver 0.05    2024/07/19
        cv2.namedWindow(winname, flags = cv2.WINDOW_AUTOSIZE | cv2.WINDOW_GUI_NORMAL) 
        n_wait = 0
        while True:
            cv2.imshow(winname, image)
            key = cv2.waitKey(30)

            if key == 27 or key == 113:                 # 'esc' or 'q'
                cv2.destroyWindow(winname)
                break

            if not my_winstat._is_visible(winname):
                break

            if wait_s > 0 and n_wait > 33 * wait_s:     # 約 wait_s秒 wait  2024.07.23
                cv2.destroyWindow(winname)
                break

            n_wait = n_wait + 1 if n_wait < 10000 else 0

        return

# 画像の種類を判別する（imghdr 非推奨対応）
#   戻り値: 'jeg''png'... 画像ファイル
#           'None'        画像ファイル以外 (動画ファイル)
#           'NotFound'    ファイルが存在しない
def is_pict(filename):
    if not os.path.isfile(filename):
        return 'NotFound'

    types = ['.bmp','.png','.jpg','.jpeg','.JPG','.tif']
    for ss in types:
        if filename.endswith(ss):
            return ss
    return 'None'

# イメージを表示
#   filepath:    Absolute path to image file or cam/cam0/cam1.. for camera stream.
def image2disp(filepath = 'cam', winname = '', savepath = '', maxsize = 0, loop_f = False):
    if filepath.find('cam') == 0 and len(filepath) < 5:
        filepath = 0 if filepath == 'cam' else int(filepath[3])
        isstream = True
    else:
        filetype = is_pict(filepath)
        isstream = filetype == 'None'
        if (filetype == 'NotFound'):
            print(RED + "input file Not found." + NOCOLOR)
            quit()

    # 入力準備
    fps = 0
    elapsed = 0
    if (isstream):
        # カメラ or 動画
        cap = cv2.VideoCapture(filepath)
        fps = cap.get(cv2.CAP_PROP_FPS)                 # 2024.08.31 fps
        start_time = time.time()
        ret, frame = cap.read()
        elapsed = (time.time() - start_time) * 1000     # リードタイム(msec)
        loopflg = cap.isOpened()
        if not loopflg:
            print(RED + "Unable to read the camera." + NOCOLOR)
    else:
        # 画像ファイル読み込み
        frame = cv2.imread(filepath)
        if frame is None:
            print(RED + "\nUnable to read the input." + NOCOLOR)
            quit()

        loopflg = True   # 1回ループ

    # 処理結果の記録 step1
    if len(savepath) > 0:
        if isstream:
            fps = int(cap.get(cv2.CAP_PROP_FPS))
            out_w = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
            out_h = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
            bf, out_h, out_w = check_size(out_h, out_w, maxsize = maxsize)

            fourcc = cv2.VideoWriter_fourcc('m', 'p', '4', 'v')
            outvideo = cv2.VideoWriter(savepath, fourcc, fps, (out_w, out_h))

    w_msec = max(30, int(1000 / fps - elapsed))         # ウエイト時間(msec) 2024.08.31
    #print(f'FPS = {fps} wait(ms) = {w_msec} elapsed = {elapsed}')
    # メインループ 
    while (loopflg):
        if frame is None:
            print(RED + "\nUnable to read the input." + NOCOLOR)
            quit()

        # アスペクト比を固定してリサイズ
        frame = frame_resize(frame, maxsize)            #      Ver 0.04    2024/07/11

        # 画像表示 
        window_name = winname + "  (hit 'q' or 'esc' key to exit)"
        cv2.namedWindow(window_name, flags=cv2.WINDOW_AUTOSIZE | cv2.WINDOW_GUI_NORMAL) 
        cv2.imshow(window_name, frame)

        # 処理結果の記録 step2
        if len(savepath) > 0:
            if (isstream):
                outvideo.write(frame)
            else:
                cv2.imwrite(savepath, frame)

        # 何らかのキーが押されたら終了 
        breakflg = False
        n_wait = 0
        while(True):
            key = cv2.waitKey(w_msec)                   # 2024.08.31 fps
            if key == 27 or key == 113:                 # 'esc' or 'q'
                breakflg = True
                cv2.destroyWindow(window_name)
                break
            if not my_winstat._is_visible(window_name): # 'Close' button
                breakflg = True
                break
            if (isstream):
                break

            if not loop_f and n_wait > 33*3:            # 約 3秒 wait
                breakflg = True
                cv2.destroyWindow(window_name)
                break

            n_wait = n_wait + 1 if n_wait < 10000 else 0

        if ((breakflg == False) and isstream):
            # 次のフレームを読み出す
            ret, frame = cap.read()
            if ret == False:
                if (loop_f):                            # 2024/06/27  動画表示にループ再生フラグを追加
                    #最初のフレームに戻る
                    cap.set(cv2.CAP_PROP_POS_FRAMES, 0)
                    ret, frame = cap.read()
                else:
                    cv2.destroyWindow(window_name)
                    break
            loopflg = cap.isOpened()
        else:
            loopflg = False

    # 終了処理 
    if (isstream):
        cap.release()

        # 処理結果の記録 step3
        if len(savepath) > 0:
            if (isstream):
                outvideo.release()

    return

# 画像をタイル状に並べる                                # Ver 0.05    2024/07/19
#   入力　: images      Image画像リスト
#           xmax        x 最大ピクセル
#           ymax        y   〃
#   戻り値: ds_image    タイル状に並んだ画像
def make_tileimage(images, xmax = WINDOW_WIDTH, ymax = WINDOW_WIDTH):
    imgs_h = []
    imgs_w = []
    img_num = 0
    for image in images:
            img_h, img_w = image.shape[:2]
            imgs_h.append(img_h)
            imgs_w.append(img_w)
            img_num += 1

    # 画像を最小サイズにリサイズ
    img_h = min(imgs_h)
    img_w = min(imgs_w)
    for i in range(img_num):
        images[i] = cv2.resize(images[i], dsize = (img_w, img_h))

    xmax = xmax//img_w * img_w
    ymax = ymax//img_h * img_h
    xs = 0
    ys = 0
    xn = 0
    yn = 0
    for i in range(img_num):
        if i == 0:
            xs = img_w
            ys = img_h
            xn += 1
            yn += 1
        else:
            if xs < xmax:
                xs = xs + img_w
                xn += 1
            else:
                if ys < ymax:
                    ys = ys + img_h
                    yn += 1
                else:
                    break

    # イメージ領域の作成
    ds_image = np.zeros((ys, xs, 3), dtype = np.uint8) + 255    # 座標指定に注意(縦,横)

    n = 0
    for image in images:
        x = (n % xn) * img_w
        y = (n // xn) * img_h
        ds_image[y:y + img_h, x:x + img_w] = image
        n += 1

    return ds_image

# 画像ファイルパスのリストから画像イメージリストを得る          # Ver 0.05    2024/07/19
#   入力　: img_path    Image画像ファイルパスのリスト
#   戻り値: images      Image画像リスト
def filelist2image(img_path):
    images = []
    img_num = 0
    for path in img_path:
        if os.path.isfile(path):
            image = cv2.imread(path)
            images.append(image)
            img_num += 1

    return images

#-----Test routine-----
# $ python my_imagetool.py {option:0/1/2/3...}
#
if __name__ == "__main__":
    import os, sys
    import my_dialog

    args = sys.argv
    sel = '0' if len(args) <= 1 else args[1]
    filename = my_dialog.select_image_file() if sel == '0' or sel == '1' else ''
    if len(filename) > 0:
        root, ext = os.path.splitext(filename)
        savename = root + '_out' + ext
        base_dir_pair = os.path.split(savename)
        savename = './' + base_dir_pair[1]
        print(f'{filename} → {savename}')

        # frame_resize()
        if sel == '0':
            img = cv2.imread(filename)
            img = frame_resize(img, 256)
            winname = 'ImageTool frame_resize()'
            image_disp(img, winname, True, savename)

        # frame_square()
        elif sel == '1':
            img = cv2.imread(filename)
            img = frame_square(img)
            winname = 'ImageTool frame_square()'
            image_disp(img, winname, True, savename)

    elif sel == '2':
        filepath = 'mylib_test/04.jpg'
        img = cv2.imread(filepath)
        winname = 'ImageTool image_disp()'
        image_disp(img, winname)

    elif sel == '3':
        filepath = 'cam0'
        winname = 'ImageTool image_disp()'
        image2disp(filepath, winname, savepath = 'test.mp4', maxsize = 0)

    elif sel == '4':
        filepath = my_dialog.select_image_movie_file()
        if len(filepath) > 0:
            winname = 'ImageTool image_disp()'
            image2disp(filepath, winname, maxsize = WINDOW_WIDTH)

    elif sel == '5':
        img_path = []
        img_path.append('./mylib_test/04.jpg')
        img_path.append('./mylib_test/32.jpg')
        img_path.append('./mylib_test/fashion003.png')

        images = filelist2image(img_path)
        ds_image = make_tileimage(images, 1600, 1024)
        winname = 'ImageTool make_tileimage()'
        image_disp(ds_image, winname)

    cv2.destroyAllWindows()

↑

動画再生（音声付き）「my_movieplay.py」 †

　「opencv」で動画と音声を再生　　参照サイト → How to handle Video and Audio with OpenCV

関数メソッド (パラメータ詳細はソースコード参照)

機能戻り値関数

動画再生（音声付き） - movie_play(video_file, title = 'Video with Audio')

機能	戻り値	関数
動画再生（音声付き）	-	movie_play(video_file, title = 'Video with Audio')

モジュール・テスト「my_movieplay.py」
・動画を選択指定して再生する
```
$ python my_movieplay.py
```
・テスト・コマンド
```
(py38_learn) python my_movieplay.py
```

モジュール・ソースコード

▼「my_movieplay.py」

# -*- coding: utf-8 -*-
##------------------------------------------
##   My Library Video Tool 2  Ver 0.01
##      OpenCV で動画と音声を再生
##
##               2024.06.29 Masahiro Izutsu
##------------------------------------------
## my_movieplay.py      (original:  video_with_audio.py)

## How to handle Video and Audio with OpenCV
##  https://i7y.org/how-to-handle-video-and-audio-with-opencv/
##  https://github.com/otamajakusi/opencv_video_with_audio
##
##  pip install pyaudio

import cv2
import time

import pyaudio
import wave
import my_videotool

class AudioDataMixin:
    def process_audio(self, data, width, channels, framerate):
#        print(f"{width=},{channels=},{framerate=}")
        pass

class WithPyAudio(AudioDataMixin):
    def __init__(self, audio_file):
        super().__init__()
        wf = wave.open(audio_file, "rb")
        p = pyaudio.PyAudio()

        self.wf = wf
        self.p = p

        self.stream = p.open(
            format=p.get_format_from_width(wf.getsampwidth()),
            channels=wf.getnchannels(),
            rate=wf.getframerate(),
            output=True,
            stream_callback=self._stream_cb,
        )

    def get_frame(self):
        if not self.stream.is_active():
            return False
        return True

    def close(self):
        self.stream.stop_stream()
        self.stream.close
        self.p.terminate()
        self.wf.close()

    def _stream_cb(self, in_data, frame_count, time_info, status):
        data = self.wf.readframes(frame_count)
        if self.process_audio:  # mixin
            wf = self.wf
            self.process_audio(
                data[:], wf.getsampwidth(), wf.getnchannels(), wf.getframerate()
            )
        return (data, pyaudio.paContinue)

def movie_play(video_file, title = 'Video with Audio'):
    audio_file = 'temp.wav'                             # 音声ファイル生成
    audio_f = my_videotool.mp4_mp3_convert(video_file, audio_file, log_f = False)

    cap = cv2.VideoCapture(video_file)
    if audio_f:
        player = WithPyAudio(audio_file)
    start_time = time.time()

    while cap.isOpened():
        ret, frame = cap.read()
        if not ret:
            break
        if audio_f and not player.get_frame():
            break

        cv2.imshow(title, frame)

        elapsed = (time.time() - start_time) * 1000  # msec
        play_time = int(cap.get(cv2.CAP_PROP_POS_MSEC))
        sleep = max(1, int(play_time - elapsed))
        if cv2.waitKey(sleep) & 0xFF == ord("q"):
            break

    if audio_f:
        player.close()
    cap.release()
    cv2.destroyAllWindows()

#-----Test routine-----
# $ python my_movieplay.py

if __name__ == "__main__":
    import my_dialog

    video_file = my_dialog.select_movie_file('参照動画　', './sample/videos')
    print(f" Source file → '{video_file}'")
    movie_play(video_file)

↑

動画編集 Tips †

　「ffmpeg」実行例は「workspace_pylearn/learn」ディレクトリでの実行を想定~

↑

動画ファイルを正方形にする †

「ffmpeg」コマンドを使用する（例：入力動画の 720x940 を 940x940 にする余白は白）

・「workspace_pylearn/learn/」下記のコマンドを実行する

ffmpeg -i "fashion01.mp4" -vf "yadif=deint=interlaced, scale=w=trunc(ih*dar/2)*2:h=trunc(ih/2)*2, setsar=1/1, scale=w=940:h=940:force_original_aspect_ratio=1, pad=w=940:h=940:x=(ow-iw)/2:y=(oh-ih)/2:color=#ffffff" -pix_fmt yuv420p "fashion01_out.mp4"

▼　- log -

(py38_learn) ffmpeg -i "fashion01.mp4" -vf "yadif=deint=interlaced, scale=w=trunc(ih*dar/2)*2:h=trunc(ih/2)*2, setsar=1/1, scale=w=940:h=940:force_original_aspect_ratio=1, pad=w=940:h=940:x=(ow-iw)/2:y=(oh-ih)/2:color=#ffffff" -pix_fmt yuv420p "fashion01_out.mp4"
ffmpeg version 4.2.2 Copyright (c) 2000-2019 the FFmpeg developers
  built with gcc 9.2.1 (GCC) 20200122
  configuration: --disable-static --enable-shared --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-amf --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt
  libavutil      56. 31.100 / 56. 31.100
  libavcodec     58. 54.100 / 58. 54.100
  libavformat    58. 29.100 / 58. 29.100
  libavdevice    58.  8.100 / 58.  8.100
  libavfilter     7. 57.100 /  7. 57.100
  libswscale      5.  5.100 /  5.  5.100
  libswresample   3.  5.100 /  3.  5.100
  libpostproc    55.  5.100 / 55.  5.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'fashion01.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf57.71.100
  Duration: 00:00:13.18, start: 0.000000, bitrate: 666 kb/s
    Stream #0:0(eng): Video: h264 (Constrained Baseline) (avc1 / 0x31637661), yuv420p(tv, bt709), 720x940 [SAR 1:1 DAR 36:47], 664 kb/s, 29.97 fps, 29.97 tbr, 30k tbn, 59.94 tbc (default)
    Metadata:
      handler_name    : VideoHandler
Stream mapping:
  Stream #0:0 -> #0:0 (h264 (native) -> h264 (libx264))
Press [q] to stop, [?] for help
[libx264 @ 0000018ed6367bc0] using SAR=1/1
[libx264 @ 0000018ed6367bc0] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
[libx264 @ 0000018ed6367bc0] profile High, level 3.1, 4:2:0, 8-bit
[libx264 @ 0000018ed6367bc0] 264 - core 159 - H.264/MPEG-4 AVC codec - Copyleft 2003-2019 - 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=29 lookahead_threads=4 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=25 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 'fashion01_out.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf58.29.100
    Stream #0:0(eng): Video: h264 (libx264) (avc1 / 0x31637661), yuv420p, 940x940 [SAR 1:1 DAR 1:1], q=-1--1, 29.97 fps, 30k tbn, 29.97 tbc (default)
    Metadata:
      handler_name    : VideoHandler
      encoder         : Lavc58.54.100 libx264
    Side data:
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
frame=  395 fps=0.0 q=-1.0 Lsize=    1403kB time=00:00:13.07 bitrate= 878.5kbits/s speed=26.9x
video:1397kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.390577%
[libx264 @ 0000018ed6367bc0] frame I:2     Avg QP:18.76  size: 23849
[libx264 @ 0000018ed6367bc0] frame P:101   Avg QP:23.73  size:  8531
[libx264 @ 0000018ed6367bc0] frame B:292   Avg QP:27.30  size:  1783
[libx264 @ 0000018ed6367bc0] consecutive B-frames:  1.0%  0.5%  2.3% 96.2%
[libx264 @ 0000018ed6367bc0] mb I  I16..4: 13.2% 74.8% 11.9%
[libx264 @ 0000018ed6367bc0] mb P  I16..4:  0.3%  1.6%  0.8%  P16..4:  6.4%  5.0%  3.0%  0.0%  0.0%    skip:82.9%
[libx264 @ 0000018ed6367bc0] mb B  I16..4:  0.0%  0.0%  0.0%  B16..8:  9.6%  2.7%  0.7%  direct: 0.4%  skip:86.6%  L0:45.2% L1:42.0% BI:12.9%
[libx264 @ 0000018ed6367bc0] 8x8 transform intra:65.6% inter:45.9%
[libx264 @ 0000018ed6367bc0] coded y,uvDC,uvAC intra: 40.9% 33.8% 13.0% inter: 3.4% 1.6% 0.0%
[libx264 @ 0000018ed6367bc0] i16 v,h,dc,p: 87%  5%  2%  7%
[libx264 @ 0000018ed6367bc0] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 39%  5% 38%  2%  3%  4%  2%  4%  3%
[libx264 @ 0000018ed6367bc0] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 33% 10% 20%  5%  6%  9%  5%  7%  5%
[libx264 @ 0000018ed6367bc0] i8c dc,h,v,p: 68%  7% 22%  3%
[libx264 @ 0000018ed6367bc0] Weighted P-Frames: Y:0.0% UV:0.0%
[libx264 @ 0000018ed6367bc0] ref P L0: 70.8% 12.6% 13.4%  3.2%
[libx264 @ 0000018ed6367bc0] ref B L0: 95.1%  4.3%  0.6%
[libx264 @ 0000018ed6367bc0] ref B L1: 98.0%  2.0%
[libx264 @ 0000018ed6367bc0] kb/s:868.01

・参考サイト：

どんな解像度・縦横比の動画も一発で指定のサイズにするffmpegコマンド

↑

動画ファイルの一部を切り取る †

「ffmpeg」コマンドを使用する（例：入力動画の 450,80 座標から 340x340 を切り取る）

・「workspace_pylearn/learn/」下記のコマンドを実行する

ffmpeg -i 01.mp4 -ss 00:00:00.00 -t 00:00:03 -filter:v "crop=340:340:450:80" -async 1 01_video_340.mp4

▼　- log -

(py38_learn) ffmpeg -i 01.mp4 -ss 00:00:00.00 -t 00:00:03 -filter:v "crop=340:340:450:80" -async 1 01_video_340.mp4
ffmpeg version 4.2.2 Copyright (c) 2000-2019 the FFmpeg developers
  built with gcc 9.2.1 (GCC) 20200122
  configuration: --disable-static --enable-shared --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-amf --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt
  libavutil      56. 31.100 / 56. 31.100
  libavcodec     58. 54.100 / 58. 54.100
  libavformat    58. 29.100 / 58. 29.100
  libavdevice    58.  8.100 / 58.  8.100
  libavfilter     7. 57.100 /  7. 57.100
  libswscale      5.  5.100 /  5.  5.100
  libswresample   3.  5.100 /  3.  5.100
  libpostproc    55.  5.100 / 55.  5.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '01.mp4':
  Metadata:
    major_brand     : mp42
    minor_version   : 1
    compatible_brands: isommp41mp42
    creation_time   : 2022-01-28T13:08:43.000000Z
  Duration: 00:00:02.94, start: 0.000000, bitrate: 945 kb/s
    Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(tv, bt709), 1280x720 [SAR 1:1 DAR 16:9], 796 kb/s, 29.84 fps, 29.97 tbr, 30k tbn, 59.94 tbc (default)
    Metadata:
      creation_time   : 2022-01-28T13:08:43.000000Z
      handler_name    : Core Media Video
    Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 127 kb/s (default)
    Metadata:
      creation_time   : 2022-01-28T13:08:43.000000Z
      handler_name    : Core Media Audio
Stream mapping:
  Stream #0:0 -> #0:0 (h264 (native) -> h264 (libx264))
  Stream #0:1 -> #0:1 (aac (native) -> aac (native))
Press [q] to stop, [?] for help
-async is forwarded to lavfi similarly to -af aresample=async=1:min_hard_comp=0.100000:first_pts=0.
[libx264 @ 0000018188207ac0] using SAR=1/1
[libx264 @ 0000018188207ac0] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
[libx264 @ 0000018188207ac0] profile High, level 2.1, 4:2:0, 8-bit
[libx264 @ 0000018188207ac0] 264 - core 159 - H.264/MPEG-4 AVC codec - Copyleft 2003-2019 - 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=11 lookahead_threads=1 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=25 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 '01_video_340.mp4':
  Metadata:
    major_brand     : mp42
    minor_version   : 1
    compatible_brands: isommp41mp42
    encoder         : Lavf58.29.100
    Stream #0:0(und): Video: h264 (libx264) (avc1 / 0x31637661), yuv420p, 340x340 [SAR 1:1 DAR 1:1], q=-1--1, 29.97 fps, 30k tbn, 29.97 tbc (default)
    Metadata:
      creation_time   : 2022-01-28T13:08:43.000000Z
      handler_name    : Core Media Video
      encoder         : Lavc58.54.100 libx264
    Side data:
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
    Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 128 kb/s (default)
    Metadata:
      creation_time   : 2022-01-28T13:08:43.000000Z
      handler_name    : Core Media Audio
      encoder         : Lavc58.54.100 aac
frame=   88 fps=0.0 q=-1.0 Lsize=     144kB time=00:00:02.94 bitrate= 400.2kbits/s speed=25.9x
video:93kB audio:46kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 3.205245%
[libx264 @ 0000018188207ac0] frame I:1     Avg QP:21.58  size:  7014
[libx264 @ 0000018188207ac0] frame P:24    Avg QP:22.92  size:  2542
[libx264 @ 0000018188207ac0] frame B:63    Avg QP:26.62  size:   423
[libx264 @ 0000018188207ac0] consecutive B-frames:  1.1%  9.1%  3.4% 86.4%
[libx264 @ 0000018188207ac0] mb I  I16..4: 13.2% 72.1% 14.7%
[libx264 @ 0000018188207ac0] mb P  I16..4:  1.8%  5.9%  0.8%  P16..4: 38.3% 17.5%  7.8%  0.0%  0.0%    skip:27.8%
[libx264 @ 0000018188207ac0] mb B  I16..4:  0.1%  0.1%  0.0%  B16..8: 36.3%  3.0%  0.3%  direct: 0.6%  skip:59.6%  L0:39.1% L1:53.1% BI: 7.9%
[libx264 @ 0000018188207ac0] 8x8 transform intra:69.5% inter:78.6%
[libx264 @ 0000018188207ac0] coded y,uvDC,uvAC intra: 48.7% 66.9% 19.8% inter: 9.0% 8.2% 0.2%
[libx264 @ 0000018188207ac0] i16 v,h,dc,p: 20% 39% 24% 17%
[libx264 @ 0000018188207ac0] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 17% 14% 30%  5%  7% 10%  5%  8%  4%
[libx264 @ 0000018188207ac0] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 34% 11% 12%  6% 11% 10%  5%  8%  3%
[libx264 @ 0000018188207ac0] i8c dc,h,v,p: 48% 22% 22%  7%
[libx264 @ 0000018188207ac0] Weighted P-Frames: Y:0.0% UV:0.0%
[libx264 @ 0000018188207ac0] ref P L0: 65.2% 16.3% 14.3%  4.2%
[libx264 @ 0000018188207ac0] ref B L0: 93.4%  5.5%  1.1%
[libx264 @ 0000018188207ac0] ref B L1: 97.3%  2.7%
[libx264 @ 0000018188207ac0] kb/s:257.87
[aac @ 0000018188276440] Qavg: 189.911

・引数

-i：動画ファイルのパス
-ss：動画のクロップスタート時刻(時間：分：秒：1/100秒)
-t：クロップ動画の長さ(時間：分：秒)
-filter:v “crop=XX:XX:XX:XX”：(クロップ画像の横サイズ:クロップ画像の縦サイズ:クロップ画像の左上角の横位置:クロップ画像の左上角の縦位置)
＊クロップ画像の左上角の横位置・縦位置は、動画の左上角を(0,0)として計算した位置
-async 1：クロップ画像保存ファイルパス

その他の例
・入力動画の 780,50 座標から 600x600 を切り取るコマンド

ffmpeg -i 07.mkv -ss 00:08:57.50 -t 00:00:08 -filter:v "crop=600:600:760:50" -async 1 hinton.mp4

・入力動画の 550,80 座標から 200x200 を切り取るコマンド

ffmpeg -i news_x.mp4 -ss 00:00:00.00 -t 00:00:10 -filter:v "crop=200:200:550:80" -async 1 news01.mp4

・入力動画の 550,28 座標から 780x780 を切り取るコマンド

ffmpeg -i kao_cm.mp4 -ss 00:00:00.00 -t 00:00:05.01 -filter:v "crop=780:780:550:28" -async 1 kao_cm_out01.mp4

・入力動画の 550,50 座標から 550x550 を切り取るコマンド

ffmpeg -i asahi_cm.mp4 -ss 00:00:23.10 -t 00:00:07.00 -filter:v "crop=550:550:940:50" -async 1 asahi_cm_out01.mp4

↑

動画に音を追加する †

「ffmpeg」コマンドを使用する（例：動画ファイル「outvideo6_17.mp4」音声ファイル「hi_audio.mp3」）
・「workspace_pylearn/learn/」で下記のコマンドを実行する

ffmpeg -i outvideo6_17.mp4 -i hi_audio.mp3 -c:v copy -c:a mp3 -map 0:v:0 -map 1:a:0 outvideo6_17_oudio.mp4

▼　- log -

(py38_learn) ffmpeg -i outvideo6_17.mp4 -i hi_audio.mp3 -c:v copy -c:a mp3 -map 0:v:0 -map 1:a:0 outvideo6_17_oudio.mp4
ffmpeg version 4.2.2 Copyright (c) 2000-2019 the FFmpeg developers
  built with gcc 9.2.1 (GCC) 20200122
  configuration: --disable-static --enable-shared --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-amf --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt
  libavutil      56. 31.100 / 56. 31.100
  libavcodec     58. 54.100 / 58. 54.100
  libavformat    58. 29.100 / 58. 29.100
  libavdevice    58.  8.100 / 58.  8.100
  libavfilter     7. 57.100 /  7. 57.100
  libswscale      5.  5.100 /  5.  5.100
  libswresample   3.  5.100 /  3.  5.100
  libpostproc    55.  5.100 / 55.  5.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'outvideo6_17.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf58.76.100
  Duration: 00:00:02.90, start: 0.000000, bitrate: 999 kb/s
    Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 768x512, 994 kb/s, 30.30 fps, 30.30 tbr, 16k tbn, 60.61 tbc (default)
    Metadata:
      handler_name    : VideoHandler
Input #1, mp3, from 'hi_audio.mp3':
  Metadata:
    encoder         : Lavf58.76.100
  Duration: 00:00:02.95, start: 0.025057, bitrate: 128 kb/s
    Stream #1:0: Audio: mp3, 44100 Hz, stereo, fltp, 128 kb/s
    Metadata:
      encoder         : Lavc58.13
Stream mapping:
  Stream #0:0 -> #0:0 (copy)
  Stream #1:0 -> #0:1 (mp3 (mp3float) -> mp3 (libmp3lame))
Press [q] to stop, [?] for help
Output #0, mp4, to 'outvideo6_17_oudio.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf58.29.100
    Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 768x512, q=2-31, 994 kb/s, 30.30 fps, 30.30 tbr, 16k tbn, 16k tbc (default)
    Metadata:
      handler_name    : VideoHandler
    Stream #0:1: Audio: mp3 (libmp3lame) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp
    Metadata:
      encoder         : Lavc58.54.100 libmp3lame
[libmp3lame @ 0000025df4091f80] Trying to remove 1152 samples, but the queue is empty
frame=   88 fps=0.0 q=-1.0 Lsize=     403kB time=00:00:02.92 bitrate=1127.6kbits/s speed=98.3x
video:353kB audio:46kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 1.002753%

・この方法で合成した mp4 ファイルは Webサーバーによる配信では表示できないことがある

下記 Webサービスの利用が簡単！
→ ビデオに音楽を追加 - 無料でビデオにオーディオを追加

↑

動画のサイズを変更する †

「ffmpeg」コマンドを使用する

・「workspace_pylearn/learn/」で下記のコマンドを実行する（例：入力動画を 256x256 サイズに変換）

ffmpeg -i 01_video_340.mp4 -s 256:256 -q 2 01_video_256.mp4

▼　- log -

(py38_learn) ffmpeg -i 01_video_340.mp4 -s 256:256 -q 2 01_video_256.mp4
ffmpeg version 4.2.2 Copyright (c) 2000-2019 the FFmpeg developers
  built with gcc 9.2.1 (GCC) 20200122
  configuration: --disable-static --enable-shared --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-amf --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt
  libavutil      56. 31.100 / 56. 31.100
  libavcodec     58. 54.100 / 58. 54.100
  libavformat    58. 29.100 / 58. 29.100
  libavdevice    58.  8.100 / 58.  8.100
  libavfilter     7. 57.100 /  7. 57.100
  libswscale      5.  5.100 /  5.  5.100
  libswresample   3.  5.100 /  3.  5.100
  libpostproc    55.  5.100 / 55.  5.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '01_video_340.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf58.29.100
  Duration: 00:00:02.97, start: 0.000000, bitrate: 396 kb/s
    Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 340x340 [SAR 1:1 DAR 1:1], 259 kb/s, 29.97 fps, 29.97 tbr, 30k tbn, 59.94 tbc (default)
    Metadata:
      handler_name    : Core Media Video
    Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 128 kb/s (default)
    Metadata:
      handler_name    : Core Media Audio
Stream mapping:
  Stream #0:0 -> #0:0 (h264 (native) -> h264 (libx264))
  Stream #0:1 -> #0:1 (aac (native) -> aac (native))
Press [q] to stop, [?] for help
[libx264 @ 00000266fd448740] -qscale is ignored, -crf is recommended.
[libx264 @ 00000266fd448740] using SAR=1/1
[libx264 @ 00000266fd448740] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
[libx264 @ 00000266fd448740] profile High, level 1.3, 4:2:0, 8-bit
[libx264 @ 00000266fd448740] 264 - core 159 - H.264/MPEG-4 AVC codec - Copyleft 2003-2019 - 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=8 lookahead_threads=1 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=25 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 '01_video_256.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf58.29.100
    Stream #0:0(und): Video: h264 (libx264) (avc1 / 0x31637661), yuv420p, 256x256 [SAR 1:1 DAR 1:1], q=-1--1, 29.97 fps, 30k tbn, 29.97 tbc (default)
    Metadata:
      handler_name    : Core Media Video
      encoder         : Lavc58.54.100 libx264
    Side data:
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
    Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 128 kb/s (default)
    Metadata:
      handler_name    : Core Media Audio
      encoder         : Lavc58.54.100 aac
frame=   88 fps=0.0 q=-1.0 Lsize=     122kB time=00:00:02.94 bitrate= 339.8kbits/s speed=  40x
video:56kB audio:62kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 3.780259%
[libx264 @ 00000266fd448740] frame I:1     Avg QP:21.81  size:  4763
[libx264 @ 00000266fd448740] frame P:27    Avg QP:23.32  size:  1479
[libx264 @ 00000266fd448740] frame B:60    Avg QP:25.73  size:   203
[libx264 @ 00000266fd448740] consecutive B-frames:  2.3% 18.2%  6.8% 72.7%
[libx264 @ 00000266fd448740] mb I  I16..4: 18.8% 68.8% 12.5%
[libx264 @ 00000266fd448740] mb P  I16..4:  1.1%  2.3%  0.4%  P16..4: 37.9% 24.7% 11.1%  0.0%  0.0%    skip:22.5%
[libx264 @ 00000266fd448740] mb B  I16..4:  0.0%  0.1%  0.0%  B16..8: 35.2%  3.7%  0.3%  direct: 0.3%  skip:60.5%  L0:36.0% L1:55.3% BI: 8.7%
[libx264 @ 00000266fd448740] 8x8 transform intra:64.7% inter:72.3%
[libx264 @ 00000266fd448740] coded y,uvDC,uvAC intra: 51.0% 72.2% 30.2% inter: 10.0% 8.9% 0.3%
[libx264 @ 00000266fd448740] i16 v,h,dc,p: 23% 35% 18% 24%
[libx264 @ 00000266fd448740] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 13% 12% 27%  6%  9% 12%  6% 11%  5%
[libx264 @ 00000266fd448740] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 20% 20% 10%  9% 11% 10%  8%  6%  5%
[libx264 @ 00000266fd448740] i8c dc,h,v,p: 56% 20% 18%  6%
[libx264 @ 00000266fd448740] Weighted P-Frames: Y:0.0% UV:0.0%
[libx264 @ 00000266fd448740] ref P L0: 66.0% 16.2% 13.3%  4.5%
[libx264 @ 00000266fd448740] ref B L0: 94.6%  4.8%  0.6%
[libx264 @ 00000266fd448740] ref B L1: 98.0%  2.0%
[libx264 @ 00000266fd448740] kb/s:155.03
[aac @ 00000266ff1fdcc0] Qavg: 236.000

↑

YouTube 動画をダウンロードする †

パッケージをインストール
```
(py38_gan) pip install yt-dlp
```

モジュール・ソースコード

▼「ytb_down.py」

# YouTube ダウンロード
#   2023.11.18
# ytb_down.py
# ffmpeg yt-dlp
#    test:    opt = ['https://www.youtube.com/watch?v=7G0ovtPqHnI']
#
# 【簡単便利】pythonからYouTubeを高画質でdownloadするぞ！by Windows
# https://resanaplaza.com/2023/04/02/%E3%80%90%E7%B0%A1%E5%8D%98%E4%BE%BF%E5%88%A9%E3%80%91python%E3%81%8B%E3%82%89youtube%E3%82%92%E9%AB%98%E7%94%BB%E8%B3%AA%E3%81%A7download%E3%81%99%E3%82%8B%E3%81%9E%EF%BC%81by-windows/

from yt_dlp import YoutubeDL

def ytb_download(option):
    ydl = YoutubeDL()
    result = ydl.download(option)
    return result

if __name__ == "__main__":
    import sys

    opt = []
    args = sys.argv
    for n in range(len(args)):
        print(n, args[n])
        if n >= 1:
            opt.append(args[n])

    if len(opt) == 0:
        print('Please input potion parameter !!')

    print(opt)

    result = ytb_download(opt)

ダウンロードする YouTube 動画のURL を右クリックでコピーしておく

コマンドラインにペーストして実行する（ローカルマシン py38_learn 仮想環境）

(py38_gan) python ytb_down.py 'https://youtu.be/cZM3o5KWLKQ'

▼　- log -

(py38_learn) python ytb_down.py 'https://youtu.be/cZM3o5KWLKQ'
0 ytb_down.py
1 https://youtu.be/cZM3o5KWLKQ
['https://youtu.be/cZM3o5KWLKQ']
[youtube] Extracting URL: https://youtu.be/cZM3o5KWLKQ
[youtube] cZM3o5KWLKQ: Downloading webpage
[youtube] cZM3o5KWLKQ: Downloading ios player API JSON
[youtube] cZM3o5KWLKQ: Downloading android player API JSON
WARNING: [youtube] YouTube said: ERROR - Precondition check failed.
WARNING: [youtube] HTTP Error 400: Bad Request. Retrying (1/3)...
[youtube] cZM3o5KWLKQ: Downloading android player API JSON
WARNING: [youtube] YouTube said: ERROR - Precondition check failed.
WARNING: [youtube] HTTP Error 400: Bad Request. Retrying (2/3)...
[youtube] cZM3o5KWLKQ: Downloading android player API JSON
WARNING: [youtube] YouTube said: ERROR - Precondition check failed.
WARNING: [youtube] HTTP Error 400: Bad Request. Retrying (3/3)...
[youtube] cZM3o5KWLKQ: Downloading android player API JSON
WARNING: [youtube] YouTube said: ERROR - Precondition check failed.
WARNING: [youtube] Unable to download API page: HTTP Error 400: Bad Request (caused by <HTTPError 400: Bad Request>); please report this issue on  https://github.com/yt-dlp/yt-dlp/issues?q= , filling out the appropriate issue template. Confirm you are on the latest version using  yt-dlp -U
[youtube] cZM3o5KWLKQ: Downloading m3u8 information
[info] cZM3o5KWLKQ: Downloading 1 format(s): 248+251
[download] Destination: 花王 セグレタ 「肌のように、髪を愛そう。」篇　30秒 CM 柴咲コウ [cZM3o5KWLKQ].f248.webm
[download] 100% of    4.96MiB in 00:00:00 at 34.11MiB/s
[download] Destination: 花王 セグレタ 「肌のように、髪を愛そう。」篇　30秒 CM 柴咲コウ [cZM3o5KWLKQ].f251.webm
[download] 100% of  495.41KiB in 00:00:00 at 10.58MiB/s
[Merger] Merging formats into "花王 セグレタ 「肌のように、髪を愛そう。」篇　30秒 CM 柴咲コウ [cZM3o5KWLKQ].webm"
Deleting original file 花王 セグレタ 「肌のように、髪を愛そう。」篇　30秒 CM 柴咲コウ [cZM3o5KWLKQ].f251.webm (pass -k to keep)
Deleting original file 花王 セグレタ 「肌のように、髪を愛そう。」篇　30秒 CM 柴咲コウ [cZM3o5KWLKQ].f248.webm (pass -k to keep)

・別の実行例

(py38_gan) python ytb_down.py 'https://youtu.be/ri6sIaodM6k'

▼　- log -

(py38_learn) PS C:\anaconda_win\workspace_2\mylib2> python ytb_down.py 'https://youtu.be/ri6sIaodM6k'
0 ytb_down.py
1 https://youtu.be/ri6sIaodM6k
['https://youtu.be/ri6sIaodM6k']
[youtube] Extracting URL: https://youtu.be/ri6sIaodM6k
[youtube] ri6sIaodM6k: Downloading webpage
[youtube] ri6sIaodM6k: Downloading ios player API JSON
[youtube] ri6sIaodM6k: Downloading m3u8 information
[info] ri6sIaodM6k: Downloading 1 format(s): 137+251
[download] Destination: 安田成美　アサヒ緑健新CMスペシャルインタビュー [ri6sIaodM6k].f137.mp4
[download] 100% of   71.56MiB in 00:00:01 at 38.13MiB/s
[download] Destination: 安田成美　アサヒ緑健新CMスペシャルインタビュー [ri6sIaodM6k].f251.webm
[download] 100% of    3.67MiB in 00:00:00 at 23.82MiB/s
[Merger] Merging formats into "安田成美　アサヒ緑健新CMスペシャルインタビュー [ri6sIaodM6k].mkv"
Deleting original file 安田成美　アサヒ緑健新CMスペシャルインタビュー [ri6sIaodM6k].f251.webm (pass -k to keep)
Deleting original file 安田成美　アサヒ緑健新CMスペシャルインタビュー [ri6sIaodM6k].f137.mp4 (pass -k to keep)

↑

対処した問題点とエラー詳細 †

↑

「ffmpeg」パッケージのインストール †

パッケージを調べる

(py38_learn) pip install ffmpeg==
ERROR: Could not find a version that satisfies the requirement ffmpeg== (from versions: 1.1.0, 1.2.0, 1.2.1, 1.3, 1.4)
ERROR: No matching distribution found for ffmpeg==

(py38_learn) conda search ffmpeg
Loading channels: done
# Name                       Version           Build  Channel
ffmpeg                           4.2      ha925a31_0  pkgs/main
ffmpeg                           4.2      hc56fc5f_0  pkgs/main
ffmpeg                         4.2.2      he774522_0  pkgs/main

新しい方をインストールする

conda install ffmpeg

pip install ffmpeg-python

ツールパッケージをインストール
```
conda search imageio-ffmpeg -c conda-forge
```

↑

「scikit-learn」パッケージのインストール †

インストールしていない場合

pip install scikit-learn

▼　- log -

(py38_learn) pip install scikit-learn
Collecting scikit-learn
  Downloading scikit_learn-1.3.2-cp38-cp38-win_amd64.whl.metadata (11 kB)
Requirement already satisfied: numpy<2.0,>=1.17.3 in c:\users\izuts\anaconda3\envs\py38_learn\lib\site-packages (from scikit-learn) (1.24.4)
Requirement already satisfied: scipy>=1.5.0 in c:\users\izuts\anaconda3\envs\py38_learn\lib\site-packages (from scikit-learn) (1.9.0)
Requirement already satisfied: joblib>=1.1.1 in c:\users\izuts\anaconda3\envs\py38_learn\lib\site-packages (from scikit-learn) (1.3.2)
Collecting threadpoolctl>=2.0.0 (from scikit-learn)
  Downloading threadpoolctl-3.5.0-py3-none-any.whl.metadata (13 kB)
Downloading scikit_learn-1.3.2-cp38-cp38-win_amd64.whl (9.3 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.3/9.3 MB 49.5 MB/s eta 0:00:00
Downloading threadpoolctl-3.5.0-py3-none-any.whl (18 kB)
Installing collected packages: threadpoolctl, scikit-learn
Successfully installed scikit-learn-1.3.2 threadpoolctl-3.5.0

↑

更新履歴 †

2024/06/14 初版

↑

参考資料 †

Python

matplotlib

ffmpeg

other
- python動画編集モジュールmoviepy 解説
- Pythonでmp4の動画から音声のみを抽出したmp3ファイルを作成する