diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..7f4203ed10bad40fa166e1f1d95548d8b82ecc49 --- /dev/null +++ b/.gitignore @@ -0,0 +1,2 @@ +AVE/ +AVE_Audio/ \ No newline at end of file diff --git a/.hfignore b/.hfignore new file mode 100644 index 0000000000000000000000000000000000000000..7f4203ed10bad40fa166e1f1d95548d8b82ecc49 --- /dev/null +++ b/.hfignore @@ -0,0 +1,2 @@ +AVE/ +AVE_Audio/ \ No newline at end of file diff --git a/Annotations.txt b/Annotations.txt new file mode 100644 index 0000000000000000000000000000000000000000..057c6ac11ef8a2307a188d109ff861d5a02fe967 --- /dev/null +++ b/Annotations.txt @@ -0,0 +1,4144 @@ +Category&VideoID&Quality&StartTime&EndTime +Church bell&RUhOCu3LNXM&good&0&10 +Church bell&MH3m4AwEcRY&good&6&8 +Church bell&2An2JMGMbbs&good&0&10 +Church bell&WM5R44UMLq0&good&0&10 +Church bell&5wHd0VafUAA&good&0&10 +Church bell&AiJTCFtN0BY&good&1&4 +Church bell&Zlwu4AROYzg&good&0&10 +Church 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+Mandolin&665IWhKmUUs&good&0&10 +Mandolin&2qVuxENcRvw&good&0&10 +Mandolin&7KcETZ7OImA&good&0&10 +Mandolin&76mwPlRcZ5k&good&0&10 +Mandolin&-MtoePIUMdk&good&0&10 +Mandolin&6UeJPCgnMIg&good&0&10 +Mandolin&0IklLP7_kBw&good&4&10 diff --git a/ReadMe.txt b/ReadMe.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c7a77c0d3ac78c99e52d8b11488f2dfb63c0959 --- /dev/null +++ b/ReadMe.txt @@ -0,0 +1,18 @@ +AVE.zip: videos in AVE dataset. One video may contain different audio-visual events, so the total number of videos is not 4143. + +annotations.txt: annotations of AVE dataset. For each sample, you can find its event catergory, YouTube ID, + Quality (all good, means that it contains an AVE), start time of an audio-visual event, end + time of an audio-visual event. + +train/val/test-Set.txt: training/validation/testing set used in our ECCV paper. + + +If you used our AVE dataset, please consider cite our paper: +@inproceedings{TianECCV2018, + title={Audio-Visual Event Localization in Unconstrained Videos}, + author={Tian, Yapeng and Shi, Jing and Li, Bochen and Duan, Zhiyao and Xu, Chenliang}, + editor="Ferrari, Vittorio and Hebert, Martial and Sminchisescu, Cristian and Weiss, Yair", + booktitle="Computer Vision -- ECCV 2018", + year="2018", + publisher="Springer", +} \ No newline at end of file diff --git a/check_thinksound_latent.py b/check_thinksound_latent.py new file mode 100644 index 0000000000000000000000000000000000000000..6d319f99e3a3ffbcb9f481ba6f99f923f28cfc0c --- /dev/null +++ b/check_thinksound_latent.py @@ -0,0 +1,32 @@ +import torch +from pathlib import Path + +# 要遍历的目录 +dir_path = Path("AVE_Dataset/test/video") # 也可以改成 audio + +# 遍历所有 .pth 文件(按文件名排序) +for file_path in sorted(dir_path.glob("*.pth")): + data = torch.load(file_path, map_location="cpu") + if len(data['timing_plan']) > 1: + pass + print(f"Loaded {file_path}, keys: {list(data.keys())}") + +file_path = "AVE_Dataset/train/video/0vWh6Knoer8.pth" +# file_path = "AVE_Dataset/train/audio/09o2OwlUCGI.pth" +data = torch.load(file_path, map_location="cpu") + +print(type(data)) +# 如果是张量 +if isinstance(data, torch.Tensor): + print(data.shape) + print(data) +# 如果是字典 +elif isinstance(data, dict): + for k, v in data.items(): + print(f"{k}: {type(v)}, shape={getattr(v, 'shape', None)}") +# 如果是列表 +elif isinstance(data, list): + print(f"List length: {len(data)}") + for i, item in enumerate(data[:3]): # 只看前三个 + print(f"[{i}] {type(item)}, shape={getattr(item, 'shape', None)}") + diff --git a/extract_audio.py b/extract_audio.py new file mode 100644 index 0000000000000000000000000000000000000000..4d1d2c8593a6dd98299e5239ccaee4769f66508d --- /dev/null +++ b/extract_audio.py @@ -0,0 +1,33 @@ +from pathlib import Path +from tqdm import tqdm +import subprocess + +txt_path = Path("testSet.txt") # 你的 txt 文件路径 +video_dir = Path("AVE") # 视频所在目录 +audio_dir = Path("AVE_Audio") # 输出音频目录 +audio_dir.mkdir(parents=True, exist_ok=True) + +# 读取 ID 或目录名(txt 每行:类别&id&...) +with open(txt_path, "r", encoding="utf-8") as f: + ids = [line.strip().split("&")[1] for line in f if line.strip()] + +for vid in tqdm(ids): + mp4_path = video_dir / f"{vid}.mp4" + wav_path = audio_dir / f"{vid}.wav" + + if not mp4_path.exists(): + print(f"⚠️ {mp4_path} 不存在,跳过") + continue + + cmd = [ + "ffmpeg", "-y", + "-i", str(mp4_path), + "-vn", + "-acodec", "pcm_s16le", + "-ar", "16000", + "-ac", "1", + str(wav_path) + ] + subprocess.run(cmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) + +print("✅ 转换完成") \ No newline at end of file diff --git a/generate_label.py b/generate_label.py new file mode 100644 index 0000000000000000000000000000000000000000..1a38e9beb088648011f43f4b5db3039ee78a5966 --- /dev/null +++ b/generate_label.py @@ -0,0 +1,22 @@ +import os +from pathlib import Path + +# 要处理的根目录 +root_dirs = ["train/video", "train/audio", "val/video", "test/video"] + +for path in root_dirs: + p = Path(path) + if not p.exists(): + print(f"❌ 路径不存在: {p}") + continue + + # 获取所有 .pth 文件的文件名(不含路径) + filenames = sorted([f.name for f in p.glob("*.pth")]) + + # 输出文件路径:train/video → train/video.txt + output_txt = p.parent / f"{p.name}.txt" + with open(output_txt, "w") as f: + for name in filenames: + f.write(name + "\n") + + print(f"✅ 生成文件: {output_txt},共 {len(filenames)} 个条目") diff --git a/gt_cache/imagebind_video.pth b/gt_cache/imagebind_video.pth new file mode 100644 index 0000000000000000000000000000000000000000..ab9d816c0f24c8af03724cd57291942bc18b8387 --- /dev/null +++ b/gt_cache/imagebind_video.pth @@ -0,0 +1,3 @@ +version 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sha256:90c9eef93964c7de2e2fa262258c796dc48946b01c29c96725f6cf3fd1776a98 +size 2177691 diff --git a/init_ave.sh b/init_ave.sh new file mode 100644 index 0000000000000000000000000000000000000000..115d15e41b94f6de84393cc7fbcc2df0c7d2dfce --- /dev/null +++ b/init_ave.sh @@ -0,0 +1,68 @@ +#!/bin/bash + +set -e # 脚本中遇到错误就退出 +echo "当前执行路径:$(pwd)" +echo "🔧 开始环境配置..." + +# 安装必要工具 +sudo apt-get update +echo "📦 检查 dos2unix 和 vim 是否已安装..." + +# 检查 dos2unix +if command -v dos2unix >/dev/null 2>&1; then + echo "✅ dos2unix 已安装,跳过安装。" +else + echo "📦 安装 dos2unix..." + sudo apt-get install -y dos2unix +fi + +# 检查 vim +if command -v vim >/dev/null 2>&1; then + echo "✅ vim 已安装,跳过安装。" +else + echo "📦 安装 vim..." + sudo apt-get install -y vim +fi +# 检查 bsdtar +if command -v bsdtar >/dev/null 2>&1; then + echo "✅ bsdtar 已安装,跳过安装。" +else + echo "📦 安装 bsdtar(libarchive-tools)..." + sudo apt-get install -y libarchive-tools +fi +# 检查 libglib2.0-0 +if dpkg -s libglib2.0-0 >/dev/null 2>&1; then + echo "✅ libglib2.0-0 已安装,跳过安装。" +else + echo "📦 安装 libglib2.0-0..." + sudo apt-get update + sudo apt-get install -y libglib2.0-0 +fi + +# 转换脚本格式 +dos2unix init_env.sh + +# 安装 Git LFS +echo "📦 检查 Git LFS 是否已安装..." +if git lfs version >/dev/null 2>&1; then + echo "✅ Git LFS 已安装,跳过安装步骤。" +else + echo "📦 未检测到 Git LFS,开始安装..." + curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash + sudo apt-get install -y git-lfs + git lfs install + echo "✅ Git LFS 安装完成。" +fi + + + +python extract_audio.py +python generate_label.py + +exit 0 + +cd ../.. +pip install gdown +gdown 1FjKwe79e0u96vdjIVwfRQ1V6SoDHe7kK +unzip AVE_Dataset.zip + diff --git a/prediction/thinksound_cross_attn/0813_batch_size2/--I2373YpgM.wav b/prediction/thinksound_cross_attn/0813_batch_size2/--I2373YpgM.wav new file mode 100644 index 0000000000000000000000000000000000000000..24bcbf4f3559ad45dd8226eeb8647c96c677282b --- /dev/null +++ b/prediction/thinksound_cross_attn/0813_batch_size2/--I2373YpgM.wav 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0000000000000000000000000000000000000000..7adfa17948ed3f2f4607107576ef5fc747af257a --- /dev/null +++ b/test.py @@ -0,0 +1,13 @@ +import torchaudio + +path = "/home/jovyan/shared/liyangchen/v2a/AVE_Dataset/prediction/thinksound_wo_tp/0813_batch_size2/6a1dJ49KuuM.wav" + +info = torchaudio.info(path) +print(info) + +# 或者加载后查看时长(秒) +waveform, sr = torchaudio.load(path) +duration_sec = waveform.size(1) / sr +print(f"采样率: {sr} Hz") +print(f"采样点数: {waveform.size(1)}") +print(f"时长: {duration_sec:.2f} 秒") diff --git a/test/video.txt b/test/video.txt new file mode 100644 index 0000000000000000000000000000000000000000..affd33bc2af61ce351706bbceb3d7b4e85476471 --- /dev/null +++ b/test/video.txt @@ -0,0 +1,402 @@ +--I2373YpgM.pth +--sbZ5YMSm4.pth +--vNfjUwxnc.pth +-0O7GsELcIQ.pth +-1Fcf1ifAho.pth +-1v35Pyt2v8.pth +-1wShjRIMEI.pth +-2C9ZpNhIvg.pth +-2ojh56BlSQ.pth +-44qKBR8bGQ.pth +-5EoTUVneQA.pth +-5QrBL6MzLg.pth +-5lX_xVW5oE.pth +-660yf6Dwb0.pth +-67UNKFmRLk.pth +-6TQKeeULa0.pth +-6yqaqO4Jco.pth 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