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taigatakano commited on Oct 24, 2024

Commit

2327f3b

1 Parent(s): 6a42c18

Update 1/f Anlyze

Browse files

Files changed (7) hide show

app.py +61 -2
hoge.json +1883 -0
lab_tools/analyze1f.py +103 -28
lab_tools/ytutil.py +60 -0
poetry.lock +242 -1
pyproject.toml +3 -0
run_dev_env.sh +5 -3

app.py CHANGED Viewed

@@ -1,7 +1,9 @@
 import gradio as gr
 from lab_tools import wavelet
 from lab_tools import labutils
 from lab_tools import analyze1f
 def update_slider_range(filepath):
@@ -12,6 +14,36 @@ def update_slider_range(filepath):
     return gr.update(minimum=min_value, maximum=max_value), gr.update(minimum=min_value, maximum=max_value, value=max_value)
 with gr.Blocks() as main_ui:
     with gr.Tab("Wavelet"):
         with gr.Row():
@@ -53,15 +85,42 @@ with gr.Blocks() as main_ui:
     with gr.Tab("1f Noise Search"):
         with gr.Row():
             with gr.Column():
-                file_input = gr.Text(label="YouTubeのリンクを貼り付けてください。")
                 submit_button = gr.Button("計算開始")
             with gr.Column():
                 caption = gr.Text(label="動画タイトル")
                 result = gr.Image(type="filepath", label="Wavelet")
-        submit_button.click(analyze1f.analyze_1f_noise, inputs=[file_input], outputs=[caption, result])
 if __name__ == "__main__":
     main_ui.queue().launch(server_name="0.0.0.0", server_port=7860)

 import gradio as gr
+from moviepy.editor import VideoFileClip
 from lab_tools import wavelet
 from lab_tools import labutils
 from lab_tools import analyze1f
+from lab_tools import ytutil
 def update_slider_range(filepath):
     return gr.update(minimum=min_value, maximum=max_value), gr.update(minimum=min_value, maximum=max_value, value=max_value)
+def update_anlyze_setting(mode):
+    if mode == "YouTube":
+        return gr.update(visible=True, value=None), gr.update(visible=False, value=None), gr.update(visible=True), gr.update(value=None)
+    else:
+        return gr.update(visible=False, value=None), gr.update(visible=True, value=None), gr.update(visible=False), gr.update(value=None)
+def update_slidar_range_youtube(video_url):
+    if video_url == "":
+        return gr.update(maximum=0, value=0), gr.update(maximum=0, value=0), gr.update(value=None), gr.update(value=None), gr.update(value=None)
+    video_info = ytutil.get_video_info(video_url)
+    duration = int(video_info["duration"]) - 1
+    title = video_info["title"]
+    ytutil.remove_mp4_file()
+    return gr.update(maximum=duration), gr.update(maximum=duration, value=duration), gr.update(value=title), gr.update(value=None), gr.update(value=None)
+def update_slidar_range_video_file(file_path):
+    if file_path == "":
+        return gr.update(maximum=0), gr.update(maximum=0, value=0), gr.update(value=None), gr.update(value=None)
+    with VideoFileClip(file_path) as video:
+        duration = video.duration
+    return gr.update(maximum=duration), gr.update(maximum=duration, value=duration), gr.update(value=None), gr.update(value=None)
 with gr.Blocks() as main_ui:
     with gr.Tab("Wavelet"):
         with gr.Row():
     with gr.Tab("1f Noise Search"):
         with gr.Row():
             with gr.Column():
+                mode_setting = gr.Radio(
+                    ["YouTube", "動画ファイル"],
+                    label="解析データ",
+                    value="YouTube",
+                )
+                youtube_url_input = gr.Text(label="YouTubeのリンクを貼り付けてください。")
+                file_input = gr.File(label="動画をアップロードしてください", visible=False, file_count="single", file_types=["mp4"])
+                start_time = gr.Slider(minimum=0, maximum=3600, value=0, step=1, label="Start Time (sec)")
+                end_time = gr.Slider(minimum=0, maximum=3600, value=10, step=1, label="End Time (sec)")
                 submit_button = gr.Button("計算開始")
+                download_button = gr.Button("ダウンロード")
             with gr.Column():
                 caption = gr.Text(label="動画タイトル")
                 result = gr.Image(type="filepath", label="Wavelet")
+                file_result = gr.File(label="Downloaded Video")
+        submit_button.click(analyze1f.analyze_1f_noise, inputs=[mode_setting, youtube_url_input, file_input, start_time, end_time], outputs=[caption, result])
+        download_button.click(ytutil.download_youtube_video, inputs=[youtube_url_input], outputs=[file_result])
+        mode_setting.change(
+            update_anlyze_setting,
+            inputs=mode_setting,
+            outputs=[youtube_url_input, file_input, download_button, result]
+        )
+        youtube_url_input.change(
+            update_slidar_range_youtube,
+            inputs=youtube_url_input,
+            outputs=[start_time, end_time, caption, file_result, result]
+            )
+        file_input.change(
+            update_slidar_range_video_file,
+            inputs=file_input,
+            outputs=[start_time, end_time, file_result, result]
+        )
 if __name__ == "__main__":
     main_ui.queue().launch(server_name="0.0.0.0", server_port=7860)
+    ytutil.remove_mp4_file()

hoge.json ADDED Viewed

	@@ -0,0 +1,1883 @@

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+  "thumbnail": "https://i.ytimg.com/vi/GgMtk3qhP-k/maxresdefault.jpg",
+  "description": "\u8449\u52a0\u702c\u592a\u90ce\u3055\u3093\u306e\u547c\u3073\u304b\u3051\u3092\u304d\u3063\u304b\u3051\u306b\u5b9f\u73fe\u3057\u305f\u3001ANA Team HND Orchestra(\u7fbd\u7530\u30aa\u30fc\u30b1\u30b9\u30c8\u30e9)\u3068\u306e\u30b3\u30e9\u30dc\u30ec\u30fc\u30b7\u30e7\u30f3\u6f14\u594f\u2018Another Sky\u2018\u306e\u9ad8\u97f3\u8cea\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u304a\u5c4a\u3051\u3057\u307e\u3059\u3002\n\n\u8a18\u5ff5\u3059\u3079\u304dBlue Sky News\u306e\u7b2c\u4e00\u5f3e\u52d5\u753b\u300cAnother Sky \u30fc TARO HAKASE &ANA Team HND Orchestra\u300d\u306f\u3053\u3061\u3089\u304b\u3089\u2193\u2193\n\nhttps://www.youtube.com/watch?v=H6aq4Z2-AXw\n\n\u3044\u3064\u3082ANA\u3092\u3054\u5229\u7528\u3044\u305f\u3060\u3044\u3066\u3044\u308b\u7686\u69d8\u306b\u3088\u308a\u97f3\u8cea\u306e\u826f\u3044\u97f3\u697d\u3092\u5c4a\u3051\u3001\u5c11\u3057\u3067\u3082\u5143\u6c17\u306b\u306a\u3063\u3066\u3082\u3089\u3044\u305f\u3044\u3068\u3044\u3046\u601d\u3044\u304b\u3089\u3001\u3053\u306e\u9ad8\u97f3\u8cea\u30d0\u30fc\u30b8\u30e7\u30f3\u306e\u6295\u7a3f\u304c\u6c7a\u5b9a\u3044\u305f\u3057\u307e\u3057\u305f\u3002\n\n\u2708\ufe0e\u2708\ufe0e\u2708\ufe0e\u4e16\u754c\u4e2d\u3044\u3064\u3069\u3053\u306b\u3044\u3066\u3082\u7a7a\u306f\u9055\u3046\u8868\u60c5\u3092\u898b\u305b\u3066\u304f\u308c\u308b\u3002\u3067\u3082\u3053\u306e\u7a7a\u306f\u7e4b\u304c\u3063\u3066\u3044\u308b\u3002\u4eca\u50d5\u304c\u898b\u3066\u308b\u7a7a\u3068\u5f7c\u5973\u304c\u898b\u3066\u308b\u7a7a\u306f\u9055\u3046\u3051\u3069\u5b9f\u306f\u540c\u3058\u4e00\u3064\u306e\u7a7a\u2708\ufe0e\u2708\ufe0e\u2708\ufe0e\n\nAnother Sky\u3068\u3044\u3046\u30bf\u30a4\u30c8\u30eb\u306b\u306f\u305d\u3093\u306a\u60f3\u3044\u304c\u8fbc\u3081\u3089\u308c\u3066\u3044\u307e\u3059\u3002\n\u307f\u306a\u3055\u307e\u3068\u79c1\u305f\u3061\u3092\u7e4b\u3052\u3066\u304f\u308c\u308bAnother Sky\u3092\u305c\u3072\u304a\u697d\u3057\u307f\u304f\u3060\u3055\u3044\u3002\n \n\u266aANA Team HND Orchestra\u306f\u3001\u30d1\u30a4\u30ed\u30c3\u30c8\u3084\u6574\u5099\u58eb\u3001\u30ad\u30e3\u30d3\u30f3\u30a2\u30c6\u30f3\u30c0\u30f3\u30c8\u306a\u3069\u7fbd\u7530\u3067\u50cd\u304fANA\u30b0\u30eb\u30fc\u30d7\u306e\u793e\u54e1\u304c\u97f3\u697d\u3067\u7e4b\u304c\u3063\u305f\u30aa\u30fc\u30b1\u30b9\u30c8\u30e9\u30d0\u30f3\u30c9\u3067\u3059\u3002\n2011\u5e74\u3001\u6771\u65e5\u672c\u5927\u9707\u707d\u304b\u3089\u306e\u5fa9\u8208\u3092\u9858\u3063\u3066\u7d50\u6210\u3055\u308c\u3001\u4eca\u5e74\u306710\u5468\u5e74\u3092\u8fce\u3048\u307e\u3057\u305f\u3002\n\n#\u8449\u52a0\u702c\u592a\u90ce #ANA  #ANATeamHNDOrchestra\u200b #anothersky",
+  "channel_id": "UC3GqXsYKXcrDiiwqoAKA-Yw",
+  "channel_url": "https://www.youtube.com/channel/UC3GqXsYKXcrDiiwqoAKA-Yw",
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+  "average_rating": null,
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+  "webpage_url": "https://www.youtube.com/watch?v=GgMtk3qhP-k",
+  "categories": [
+    "Entertainment"
+  ],
+  "tags": [
+    "ANA",
+    "\u5168\u65e5\u7a7a",
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+      "url": "https://rr1---sn-oxfhxqp5w2-i3qe.googlevideo.com/videoplayback?expire=1729788835&ei=QycaZ9XSJfHKs8IP0pSouAI&ip=61.44.169.49&id=o-AKPm52N-d7fNmObnH1f-G4U0tNVzMogf00d0QUOJIglh&itag=140&source=youtube&requiressl=yes&xpc=EgVo2aDSNQ%3D%3D&met=1729767235%2C&mh=rF&mm=31%2C29&mn=sn-oxfhxqp5w2-i3qe%2Csn-ajogu5-55&ms=au%2Crdu&mv=m&mvi=1&pcm2cms=yes&pl=19&rms=au%2Cau&initcwndbps=1138750&vprv=1&svpuc=1&mime=audio%2Fmp4&rqh=1&gir=yes&clen=5517722&dur=340.892&lmt=1624964155020857&mt=1729766724&fvip=1&keepalive=yes&fexp=51312688%2C51326932&c=IOS&txp=5432434&sparams=expire%2Cei%2Cip%2Cid%2Citag%2Csource%2Crequiressl%2Cxpc%2Cvprv%2Csvpuc%2Cmime%2Crqh%2Cgir%2Cclen%2Cdur%2Clmt&sig=AJfQdSswRgIhAOGmbDI2MiqUf1rePOxF_zmNYhz_GgqglvioR4HZErarAiEAvEfuUjAbt5zrbPuceRH_GeSDYefraL-fb5_d2wJtwX8%3D&lsparams=met%2Cmh%2Cmm%2Cmn%2Cms%2Cmv%2Cmvi%2Cpcm2cms%2Cpl%2Crms%2Cinitcwndbps&lsig=ACJ0pHgwRgIhANuz3lxs_vmqVpXcP3rInpXczpqFMoKp0KHASYZnt8Z_AiEA9t0HHroqjL-77_TQWDPYm0y-AwhZxZSwjDbqnp8aokI%3D",
+      "width": null,
+      "language": null,
+      "language_preference": -1,
+      "preference": null,
+      "ext": "m4a",
+      "vcodec": "none",
+      "acodec": "mp4a.40.2",
+      "dynamic_range": null,
+      "container": "m4a_dash",
+      "downloader_options": {
+        "http_chunk_size": 10485760
+      },
+      "protocol": "https",
+      "resolution": "audio only",
+      "aspect_ratio": null,
+      "http_headers": {
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36",
+        "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
+        "Accept-Language": "en-us,en;q=0.5",
+        "Sec-Fetch-Mode": "navigate"
+      },
+      "audio_ext": "m4a",
+      "video_ext": "none",
+      "vbr": 0,
+      "abr": 129.489,
+      "format": "140 - audio only (medium)"
+    }
+  ],
+  "format": "614 - 1920x1080+140 - audio only (medium)",
+  "format_id": "614+140",
+  "ext": "mp4",
+  "protocol": "m3u8_native+https",
+  "language": null,
+  "format_note": "medium",
+  "filesize_approx": 5517722,
+  "tbr": 2110.3379999999997,
+  "width": 1920,
+  "height": 1080,
+  "resolution": "1920x1080",
+  "fps": 24.0,
+  "dynamic_range": "SDR",
+  "vcodec": "vp09.00.40.08",
+  "vbr": 1980.849,
+  "stretched_ratio": null,
+  "aspect_ratio": 1.78,
+  "acodec": "mp4a.40.2",
+  "abr": 129.489,
+  "asr": 44100,
+  "audio_channels": 2
+}

lab_tools/analyze1f.py CHANGED Viewed

@@ -2,58 +2,109 @@ import numpy as np
 import matplotlib.pyplot as plt
 from pydub import AudioSegment
 from scipy.fftpack import fft
-import yt_dlp
 import os
 import tempfile
-def download_youtube(youtube_url: str) -> str:
-    ydl_opts = {
-        'postprocessors': [
-            {
-                'key': 'FFmpegExtractAudio',
-                'preferredcodec': 'mp3',
-                'preferredquality': '128',
-            }
-        ],
-        'outtmpl': '%(title)s.%(ext)s'
-    }
-    with yt_dlp.YoutubeDL(ydl_opts) as ydl:
-        info_dict = ydl.extract_info(youtube_url, download=True)
-        file_path = ydl.prepare_filename(info_dict)
-        filename, _ = os.path.splitext(file_path)
-        filename += ".mp3"
-        print(f"Downloaded file path: {filename}")
-    return filename
-def analyze_1f_noise(youtube_url: str):
-    filename = download_youtube(youtube_url)
-    audio = AudioSegment.from_mp3(filename)
     os.remove(filename)
     data = np.array(audio.get_array_of_samples())
     sample_rate = audio.frame_rate
     if audio.channels > 1:
         data = data.reshape((-1, audio.channels)).mean(axis=1)
     N = len(data)
     T = 1.0 / sample_rate
     yf = fft(data)
-    xf = np.fft.fftfreq(N, T)[:N//2]
-    power_spectrum = 2.0/N * np.abs(yf[:N//2])
-    xf_log = xf[1:]
-    power_spectrum_log = power_spectrum[1:]
     graphfile_path = tempfile.NamedTemporaryFile(delete=False, suffix='.png').name
     # グラフの描画
     plt.figure(figsize=(10, 6))
-    plt.plot(xf_log, power_spectrum_log)
     plt.xscale('log')
     plt.yscale('log')
@@ -62,8 +113,32 @@ def analyze_1f_noise(youtube_url: str):
     plt.ylabel('Power')
     plt.grid(True, which="both", ls="--")
     plt.xlim([1, sample_rate // 2])
     plt.savefig(graphfile_path)
-    filename, _ = os.path.splitext(filename)
     return filename, graphfile_path

 import matplotlib.pyplot as plt
 from pydub import AudioSegment
 from scipy.fftpack import fft
 import os
 import tempfile
+from sklearn.linear_model import LinearRegression
+from pydub.exceptions import CouldntDecodeError
+import subprocess
+from lab_tools import ytutil
+# YouTubeから音声をダウンロードし、指定範囲の音声データを返す
+def download_and_process_audio(youtube_url: str, start_time: float, end_time: float = None):
+    filename = ytutil.download_youtube(youtube_url)
+    audio = AudioSegment.from_mp3(filename)
+    os.remove(filename)
+    # 時間範囲をミリ秒単位に変換
+    if end_time is None:
+        end_time = len(audio) / 1000.0  # 音声の長さを秒単位で取得
+    start_ms = start_time * 1000
+    end_ms = end_time * 1000
+    audio = audio[start_ms:end_ms]
+    return audio, filename
+def convert_to_mp3(input_file: str, output_file: str):
+    try:
+        subprocess.run(
+            ["ffmpeg", "-i", input_file, "-q:a", "0", "-map", "a", output_file],
+            check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE
+        )
+    except subprocess.CalledProcessError as e:
+        raise RuntimeError(f"ffmpegによるMP3変換に失敗しました: {e.stderr.decode()}")
+def process_audio(filename: str, start_time: float, end_time: float = None):
+    mp3_filename = filename.rsplit('.', 1)[0] + ".mp3"
+    if not filename.endswith(".mp3"):
+        convert_to_mp3(filename, mp3_filename)
+        filename = mp3_filename
+    try:
+        audio = AudioSegment.from_mp3(filename)
+    except CouldntDecodeError:
+        raise ValueError(f"MP3ファイル {filename} のデコードに失敗しました。ファイルが破損している可能性があります。")
     os.remove(filename)
+    # 時間範囲をミリ秒単位に変換
+    if end_time is None:
+        end_time = len(audio) / 1000.0  # 音声の長さを秒単位で取得
+    start_ms = start_time * 1000
+    end_ms = end_time * 1000
+    audio = audio[start_ms:end_ms]
+    return audio, mp3_filename  # 変換後のファイル名を返す
+# 音声データをモノラルに変換して、NumPy配列とサンプリングレートを返す
+def convert_audio_to_numpy(audio: AudioSegment):
     data = np.array(audio.get_array_of_samples())
     sample_rate = audio.frame_rate
+    # ステレオ音声の場合はモノラルに変換
     if audio.channels > 1:
         data = data.reshape((-1, audio.channels)).mean(axis=1)
+    return data, sample_rate
+# パワースペクトルを計算
+def compute_power_spectrum(data: np.ndarray, sample_rate: int):
     N = len(data)
     T = 1.0 / sample_rate
     yf = fft(data)
+    xf = np.fft.fftfreq(N, T)[:N // 2]
+    power_spectrum = 2.0 / N * np.abs(yf[:N // 2])
+    # 対数スケールに変換
+    xf_log = np.log10(xf[1:])
+    power_spectrum_log = np.log10(power_spectrum[1:])
+    return xf_log, power_spectrum_log
+# 線形回帰によるパワースペクトルの近似
+def perform_linear_regression(xf_log: np.ndarray, power_spectrum_log: np.ndarray):
+    xf_log_reshaped = xf_log.reshape(-1, 1)
+    reg = LinearRegression().fit(xf_log_reshaped, power_spectrum_log)
+    power_spectrum_pred = reg.predict(xf_log_reshaped)
+    return power_spectrum_pred, reg
+# パワースペクトルと線形近似のグラフを保存
+def plot_and_save_spectrum(xf_log: np.ndarray, power_spectrum_log: np.ndarray, power_spectrum_pred: np.ndarray, sample_rate: int):
     graphfile_path = tempfile.NamedTemporaryFile(delete=False, suffix='.png').name
     # グラフの描画
     plt.figure(figsize=(10, 6))
+    plt.plot(10**xf_log, 10**power_spectrum_log, label='Power Spectrum')
+    plt.plot(10**xf_log, 10**power_spectrum_pred, color='red', linestyle='--', label='Linear Approximation')
     plt.xscale('log')
     plt.yscale('log')
     plt.ylabel('Power')
     plt.grid(True, which="both", ls="--")
     plt.xlim([1, sample_rate // 2])
+    plt.legend()
     plt.savefig(graphfile_path)
+    return graphfile_path
+# メインの解析関数 Use YouTube
+def analyze_1f_noise(mode: str, youtube_url: str, file_path: str, start_time: float = 0, end_time: float = None):
+    # 音声データの取得
+    if mode == "YouTube":
+        audio, filename = download_and_process_audio(youtube_url, start_time, end_time)
+    else:
+        audio, filename = process_audio(file_path, start_time, end_time)
+    # 音声データをNumPy配列に変換
+    data, sample_rate = convert_audio_to_numpy(audio)
+    # パワースペクトルを計算
+    xf_log, power_spectrum_log = compute_power_spectrum(data, sample_rate)
+    # 線形回帰を実行
+    power_spectrum_pred, _ = perform_linear_regression(xf_log, power_spectrum_log)
+    # グラフを描画して保存
+    graphfile_path = plot_and_save_spectrum(xf_log, power_spectrum_log, power_spectrum_pred, sample_rate)
+    # ファイル名を返す
+    filename, _ = os.path.splitext(filename)
     return filename, graphfile_path

lab_tools/ytutil.py ADDED Viewed

	@@ -0,0 +1,60 @@

+import yt_dlp
+import os
+import glob
+def download_youtube(youtube_url: str) -> str:
+    ydl_opts = {
+        'postprocessors': [
+            {
+                'key': 'FFmpegExtractAudio',
+                'preferredcodec': 'mp3',
+                'preferredquality': '128',
+            }
+        ],
+        'outtmpl': '%(title)s.%(ext)s'
+    }
+    with yt_dlp.YoutubeDL(ydl_opts) as ydl:
+        info_dict = ydl.extract_info(youtube_url, download=True)
+        file_path = ydl.prepare_filename(info_dict)
+        filename, _ = os.path.splitext(file_path)
+        filename += ".mp3"
+        print(f"Downloaded file path: {filename}")
+    return filename
+def download_youtube_video(youtube_url: str) -> str:
+    ydl_opts = {
+        'outtmpl': '%(title)s.%(ext)s'
+    }
+    with yt_dlp.YoutubeDL(ydl_opts) as ydl:
+        info_dict = ydl.extract_info(youtube_url, download=True)
+        file_path = ydl.prepare_filename(info_dict)
+        print(f"Downloaded file path: {file_path}")
+    return file_path
+def remove_mp4_file():
+    print("remove_mp4_file")
+    mp4_files = glob.glob(os.path.join("./", '*.mp4'))
+    for file in mp4_files:
+        try:
+            os.remove(file)
+        except Exception as e:
+            print(f"削除失敗: {file} - {e}")
+def get_video_info(url):
+    ydl_opts = {
+        'dump_single_json': True,
+        'skip_download': True,
+    }
+    with yt_dlp.YoutubeDL(ydl_opts) as ydl:
+        info = ydl.extract_info(url, download=False)
+        return info

poetry.lock CHANGED Viewed

@@ -532,6 +532,17 @@ files = [
 docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
 tests = ["pytest", "pytest-cov", "pytest-xdist"]
 [[package]]
 name = "exceptiongroup"
 version = "1.2.2"
@@ -592,6 +603,22 @@ docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.
 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
 typing = ["typing-extensions (>=4.12.2)"]
 [[package]]
 name = "fonttools"
 version = "4.54.1"
@@ -869,6 +896,57 @@ files = [
 [package.extras]
 all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
 [[package]]
 name = "importlib-resources"
 version = "6.4.5"
@@ -905,6 +983,17 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 [[package]]
 name = "kiwisolver"
 version = "1.4.7"
@@ -1188,6 +1277,17 @@ pillow = ">=6.2.0"
 pyparsing = ">=2.3.1"
 python-dateutil = ">=2.7"
 [[package]]
 name = "mdurl"
 version = "0.1.2"
@@ -1199,6 +1299,30 @@ files = [
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
 ]
 [[package]]
 name = "mutagen"
 version = "1.47.0"
@@ -1487,6 +1611,31 @@ tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "pa
 typing = ["typing-extensions"]
 xmp = ["defusedxml"]
 [[package]]
 name = "pycparser"
 version = "2.22"
@@ -1671,6 +1820,17 @@ files = [
     {file = "pydub-0.25.1.tar.gz", hash = "sha256:980a33ce9949cab2a569606b65674d748ecbca4f0796887fd6f46173a7b0d30f"},
 ]
 [[package]]
 name = "pygments"
 version = "2.18.0"
@@ -1864,6 +2024,56 @@ files = [
     {file = "ruff-0.6.9.tar.gz", hash = "sha256:b076ef717a8e5bc819514ee1d602bbdca5b4420ae13a9cf61a0c0a4f53a2baa2"},
 ]
 [[package]]
 name = "scipy"
 version = "1.14.0"
@@ -1921,6 +2131,26 @@ files = [
 dev = ["Django (>=1.11)", "check-manifest", "colorama (<=0.4.1)", "coverage", "flake8", "nose2", "readme-renderer (<25.0)", "tox", "wheel", "zest.releaser[recommended]"]
 doc = ["Sphinx", "sphinx-rtd-theme"]
 [[package]]
 name = "shellingham"
 version = "1.5.4"
@@ -1971,6 +2201,17 @@ anyio = ">=3.4.0,<5"
 [package.extras]
 full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7)", "pyyaml"]
 [[package]]
 name = "tomlkit"
 version = "0.12.0"
@@ -2192,4 +2433,4 @@ test = ["pytest (>=8.1,<9.0)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.12"
-content-hash = "2bb4e05993ac956f9ed0c7c5eb5ac3c87c4ceb9bfa3506347ca2e6a7a296b550"

 docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
 tests = ["pytest", "pytest-cov", "pytest-xdist"]
+[[package]]
+name = "decorator"
+version = "4.4.2"
+description = "Decorators for Humans"
+optional = false
+python-versions = ">=2.6, !=3.0.*, !=3.1.*"
+files = [
+    {file = "decorator-4.4.2-py2.py3-none-any.whl", hash = "sha256:41fa54c2a0cc4ba648be4fd43cff00aedf5b9465c9bf18d64325bc225f08f760"},
+    {file = "decorator-4.4.2.tar.gz", hash = "sha256:e3a62f0520172440ca0dcc823749319382e377f37f140a0b99ef45fecb84bfe7"},
+]
 [[package]]
 name = "exceptiongroup"
 version = "1.2.2"
 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
 typing = ["typing-extensions (>=4.12.2)"]
+[[package]]
+name = "flake8"
+version = "7.1.1"
+description = "the modular source code checker: pep8 pyflakes and co"
+optional = false
+python-versions = ">=3.8.1"
+files = [
+    {file = "flake8-7.1.1-py2.py3-none-any.whl", hash = "sha256:597477df7860daa5aa0fdd84bf5208a043ab96b8e96ab708770ae0364dd03213"},
+    {file = "flake8-7.1.1.tar.gz", hash = "sha256:049d058491e228e03e67b390f311bbf88fce2dbaa8fa673e7aea87b7198b8d38"},
+]
+[package.dependencies]
+mccabe = ">=0.7.0,<0.8.0"
+pycodestyle = ">=2.12.0,<2.13.0"
+pyflakes = ">=3.2.0,<3.3.0"
 [[package]]
 name = "fonttools"
 version = "4.54.1"
 [package.extras]
 all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
+[[package]]
+name = "imageio"
+version = "2.36.0"
+description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "imageio-2.36.0-py3-none-any.whl", hash = "sha256:471f1eda55618ee44a3c9960911c35e647d9284c68f077e868df633398f137f0"},
+    {file = "imageio-2.36.0.tar.gz", hash = "sha256:1c8f294db862c256e9562354d65aa54725b8dafed7f10f02bb3ec20ec1678850"},
+]
+[package.dependencies]
+numpy = "*"
+pillow = ">=8.3.2"
+[package.extras]
+all-plugins = ["astropy", "av", "imageio-ffmpeg", "numpy (>2)", "pillow-heif", "psutil", "rawpy", "tifffile"]
+all-plugins-pypy = ["av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
+build = ["wheel"]
+dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"]
+docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"]
+ffmpeg = ["imageio-ffmpeg", "psutil"]
+fits = ["astropy"]
+full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpy (>2)", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "rawpy", "sphinx (<6)", "tifffile", "wheel"]
+gdal = ["gdal"]
+itk = ["itk"]
+linting = ["black", "flake8"]
+pillow-heif = ["pillow-heif"]
+pyav = ["av"]
+rawpy = ["numpy (>2)", "rawpy"]
+test = ["fsspec[github]", "pytest", "pytest-cov"]
+tifffile = ["tifffile"]
+[[package]]
+name = "imageio-ffmpeg"
+version = "0.5.1"
+description = "FFMPEG wrapper for Python"
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "imageio-ffmpeg-0.5.1.tar.gz", hash = "sha256:0ed7a9b31f560b0c9d929c5291cd430edeb9bed3ce9a497480e536dd4326484c"},
+    {file = "imageio_ffmpeg-0.5.1-py3-none-macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl", hash = "sha256:1460e84712b9d06910c1f7bb524096b0341d4b7844cea6c20e099d0a24e795b1"},
+    {file = "imageio_ffmpeg-0.5.1-py3-none-manylinux2010_x86_64.whl", hash = "sha256:5289f75c7f755b499653f3209fea4efd1430cba0e39831c381aad2d458f7a316"},
+    {file = "imageio_ffmpeg-0.5.1-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7fa9132a291d5eb28c44553550deb40cbdab831f2a614e55360301a6582eb205"},
+    {file = "imageio_ffmpeg-0.5.1-py3-none-win32.whl", hash = "sha256:89efe2c79979d8174ba8476deb7f74d74c331caee3fb2b65ba2883bec0737625"},
+    {file = "imageio_ffmpeg-0.5.1-py3-none-win_amd64.whl", hash = "sha256:1521e79e253bedbdd36a547e0cbd94a025ba0b558e17f08fea687d805a0e4698"},
+]
+[package.dependencies]
+setuptools = "*"
 [[package]]
 name = "importlib-resources"
 version = "6.4.5"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
+[[package]]
+name = "joblib"
+version = "1.4.2"
+description = "Lightweight pipelining with Python functions"
+optional = false
+python-versions = ">=3.8"
+files = [
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 doc = ["Sphinx", "sphinx-rtd-theme"]
+[[package]]
+name = "setuptools"
+version = "75.2.0"
+description = "Easily download, build, install, upgrade, and uninstall Python packages"
+optional = false
+python-versions = ">=3.8"
+files = [
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+core = ["importlib-metadata (>=6)", "importlib-resources (>=5.10.2)", "jaraco.collections", "jaraco.functools", "jaraco.text (>=3.7)", "more-itertools", "more-itertools (>=8.8)", "packaging", "packaging (>=24)", "platformdirs (>=2.6.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"]
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+enabler = ["pytest-enabler (>=2.2)"]
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+type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.11.*)", "pytest-mypy"]
 [[package]]
 name = "shellingham"
 version = "1.5.4"
 [package.extras]
 full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7)", "pyyaml"]
+[[package]]
+name = "threadpoolctl"
+version = "3.5.0"
+description = "threadpoolctl"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "threadpoolctl-3.5.0-py3-none-any.whl", hash = "sha256:56c1e26c150397e58c4926da8eeee87533b1e32bef131bd4bf6a2f45f3185467"},
+    {file = "threadpoolctl-3.5.0.tar.gz", hash = "sha256:082433502dd922bf738de0d8bcc4fdcbf0979ff44c42bd40f5af8a282f6fa107"},
+]
 [[package]]
 name = "tomlkit"
 version = "0.12.0"
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.12"
+content-hash = "decf0f110b920a3dd81fd818bcb9d32ce95bb1efaf4c3ea61815b51be06cab11"

pyproject.toml CHANGED Viewed

@@ -9,6 +9,9 @@ python = ">=3.10,<3.12"
 gradio = "4.44.0"
 yt-dlp = "2024.07.07"
 scipy = "1.14.0"
 [build-system]
 requires = ["poetry-core>=1.0.0"]

 gradio = "4.44.0"
 yt-dlp = "2024.07.07"
 scipy = "1.14.0"
+scikit-learn = "1.5.2"
+flake8 = "7.1.1"
+moviepy = "1.0.3"
 [build-system]
 requires = ["poetry-core>=1.0.0"]

run_dev_env.sh CHANGED Viewed

@@ -8,7 +8,7 @@ ROOT="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
 if [[ $(id -u) -eq 0 ]]; then
     echo "This script cannot be executed with root privileges."
     echo "Please re-run without sudo and follow instructions to configure docker for non-root user if needed."
-    exit 1
 fi
 # Check if user can run docker without root.
@@ -17,14 +17,14 @@ if [[ ! $(groups $USER) =~ $RE ]]; then
     echo "User |$USER| is not a member of the 'docker' group and cannot run docker commands without sudo."
     echo "Run 'sudo usermod -aG docker \$USER && newgrp docker' to add user to 'docker' group, then re-run this script."
     echo "See: https://docs.docker.com/engine/install/linux-postinstall/"
-    exit 1
 fi
 # Check if able to run docker commands.
 if [[ -z "$(docker ps)" ]] ;  then
     echo "Unable to run docker commands. If you have recently added |$USER| to 'docker' group, you may need to log out and log back in for it to take effect."
     echo "Otherwise, please check your Docker installation."
-    exit 1
 fi
 PLATFORM="$(uname -m)"
@@ -35,4 +35,6 @@ if [ $PLATFORM = "x86_64" ]; then
     docker run -it --rm -v $ROOT:/app -w /app --network host ghcr.io/moriyalab/lab_tool:latest /bin/bash
 else
     echo "Not Support Platform. Only support x86."
 fi

 if [[ $(id -u) -eq 0 ]]; then
     echo "This script cannot be executed with root privileges."
     echo "Please re-run without sudo and follow instructions to configure docker for non-root user if needed."
+    # exit 1
 fi
 # Check if user can run docker without root.
     echo "User |$USER| is not a member of the 'docker' group and cannot run docker commands without sudo."
     echo "Run 'sudo usermod -aG docker \$USER && newgrp docker' to add user to 'docker' group, then re-run this script."
     echo "See: https://docs.docker.com/engine/install/linux-postinstall/"
+    # exit 1
 fi
 # Check if able to run docker commands.
 if [[ -z "$(docker ps)" ]] ;  then
     echo "Unable to run docker commands. If you have recently added |$USER| to 'docker' group, you may need to log out and log back in for it to take effect."
     echo "Otherwise, please check your Docker installation."
+    # exit 1
 fi
 PLATFORM="$(uname -m)"
     docker run -it --rm -v $ROOT:/app -w /app --network host ghcr.io/moriyalab/lab_tool:latest /bin/bash
 else
     echo "Not Support Platform. Only support x86."
+    docker pull ghcr.io/moriyalab/lab_tool:latest
+    docker run -it --rm -v $ROOT:/app -w /app --network host ghcr.io/moriyalab/lab_tool:latest /bin/bash
 fi