| |
| |
|
|
| import time, pdb, argparse, subprocess, pickle, os, gzip, glob |
| import tempfile |
| import uuid |
| import shutil |
|
|
| from SyncNetInstance import * |
|
|
|
|
| |
|
|
| def run_syncnet(video_path, |
| model_path="data/syncnet_v2.model", |
| batch_size=20, |
| vshift=15, |
| tmp_dir=None, |
| cleanup=True): |
| """ |
| 运行SyncNet评估视频的音频-视频同步 |
| |
| 参数: |
| video_path (str): 输入视频文件路径 |
| model_path (str): SyncNet模型路径，默认为 "data/syncnet_v2.model" |
| batch_size (int): 批次大小，默认为 20 |
| vshift (int): 视频偏移量，默认为 15 |
| tmp_dir (str): 临时目录路径，如果为None则使用系统临时目录 |
| cleanup (bool): 是否在完成后清理临时文件，默认为 True |
| |
| 返回: |
| dict: 包含以下键的字典 |
| - 'offset': 音频-视频偏移量 (numpy array) |
| - 'confidence': 置信度 (numpy array) |
| - 'dists': 距离矩阵 (numpy array) |
| """ |
| |
| if tmp_dir is None: |
| tmp_dir = os.path.join(tempfile.gettempdir(), 'syncnet_' + str(uuid.uuid4())[:8]) |
| |
| reference = 'temp_ref' |
| work_tmp_dir = os.path.join(tmp_dir, reference) |
| |
| |
| class Opt: |
| pass |
| |
| opt = Opt() |
| opt.tmp_dir = tmp_dir |
| opt.reference = reference |
| opt.batch_size = batch_size |
| opt.vshift = vshift |
| |
| try: |
| |
| s = SyncNetInstance() |
| |
| |
| if not os.path.exists(model_path): |
| raise FileNotFoundError(f"模型文件不存在: {model_path}") |
| s.loadParameters(model_path) |
| print(f"Model {model_path} loaded.") |
| |
| |
| offset, conf, dists = s.evaluate(opt, videofile=video_path) |
| |
| |
| result = { |
| 'offset': offset, |
| 'confidence': conf, |
| 'dists': dists |
| } |
| |
| return result |
| |
| finally: |
| |
| if cleanup and os.path.exists(work_tmp_dir): |
| shutil.rmtree(work_tmp_dir) |
| print(f"Cleaned up temporary directory: {work_tmp_dir}") |
|
|
| |
|
|
| parser = argparse.ArgumentParser(description = "SyncNet"); |
| parser.add_argument('--initial_model', type=str, default="syncnet_models/syncnet_v2.model", help=''); |
| parser.add_argument('--batch_size', type=int, default='20', help=''); |
| parser.add_argument('--vshift', type=int, default='15', help=''); |
| parser.add_argument('--data_dir', type=str, default='data/work', help=''); |
| parser.add_argument('--videofile', type=str, default='/share/zhaohu_workspace/light-video-gen-v2/test_videos/man_2.mp4', help=''); |
| parser.add_argument('--reference', type=str, default='', help=''); |
| opt = parser.parse_args(); |
|
|
| setattr(opt,'avi_dir',os.path.join(opt.data_dir,'pyavi')) |
| setattr(opt,'tmp_dir',os.path.join(opt.data_dir,'pytmp')) |
| setattr(opt,'work_dir',os.path.join(opt.data_dir,'pywork')) |
| setattr(opt,'crop_dir',os.path.join(opt.data_dir,'pycrop')) |
|
|
|
|
| s = SyncNetInstance(); |
|
|
| s.loadParameters(opt.initial_model) |
| print("Model %s loaded."%opt.initial_model) |
|
|
| flist = glob.glob(os.path.join(opt.crop_dir,opt.reference,'0*.avi')) |
| flist.sort() |
|
|
| |
|
|
| dists = [] |
| for idx, fname in enumerate(flist): |
| print(f"fname is {fname}") |
| offset, conf, dist = s.evaluate(opt,videofile=fname) |
| dists.append(dist) |
| |
| |
|
|
| with open(os.path.join(opt.work_dir,opt.reference,'activesd.pckl'), 'wb') as fil: |
| pickle.dump(dists, fil) |
|
|
|
|
| |
| |
| |
| |
| |
| |
| |
|
|
| |
