Download build_pose_dict/useless/main.py from SignerX/StableSigner: direct link, hf CLI and curl.
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https://huggingface.co/datasets/SignerX/StableSigner/resolve/main/build_pose_dict/useless/main.py
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hf download hf://datasets/SignerX/StableSigner/build_pose_dict/useless/main.py
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curl -L -o main.py https://huggingface.co/datasets/SignerX/StableSigner/resolve/main/build_pose_dict/useless/main.py
3.27 kB
| #!/usr/bin/env python3 | |
| import csv | |
| import subprocess | |
| import sys | |
| import os | |
| import argparse | |
| from pathlib import Path | |
| def read_mapping(gloss, csv_path): | |
| result = [] | |
| with open(csv_path, 'r', encoding='utf-8') as f: | |
| reader = csv.DictReader(f) | |
| for row in reader: | |
| if row['gloss'].strip().lower() == gloss.strip().lower(): | |
| result.append((row['video_id'], row['npz_dir'])) | |
| return result | |
| def run_merge_step1(npz_dir, output_dir="posedict"): | |
| cmd = [sys.executable, "step1_merge_npz.py", npz_dir, "--output", output_dir] | |
| ret = subprocess.run(cmd, capture_output=True, text=True) | |
| return ret.returncode == 0 | |
| def run_merge_step2(npz_dir, output_dir="posedict"): | |
| cmd = [sys.executable, "step2_merge_npz.py", npz_dir, "--output", output_dir] | |
| ret = subprocess.run(cmd, capture_output=True, text=True) | |
| return ret.returncode == 0 | |
| def run_render_step3(merged_npz_path, output_folder="pose_videos"): | |
| cmd = [sys.executable, "step3_read_and_vis_merge_npz_to_pose_video.py", merged_npz_path, "--output", output_folder] | |
| ret = subprocess.run(cmd, capture_output=True, text=True) | |
| return ret.returncode == 0 | |
| def main(): | |
| parser = argparse.ArgumentParser(description="gloss → npz → merged.npz → pose video pipeline") | |
| parser.add_argument("--gloss", required=True, help="输入 gloss 关键词") | |
| parser.add_argument("--csv", default="assets/WLASL_small_results/gloss_npz_mapping.csv", help="gloss→video_id→npz 映射表") | |
| parser.add_argument("--merge1_out", default="posedict", help="step1 输出合并目录") | |
| parser.add_argument("--merge2_out", default="posedict", help="step2 输出 merged npz 目录") | |
| parser.add_argument("--video_out", default="pose_videos", help="step3 输出视频目录") | |
| args = parser.parse_args() | |
| mapping = read_mapping(args.gloss, args.csv) | |
| if not mapping: | |
| print(f"❌ 没找到 gloss={args.gloss} 对应路径") | |
| sys.exit(1) | |
| os.makedirs(args.merge1_out, exist_ok=True) | |
| os.makedirs(args.video_out, exist_ok=True) | |
| for video_id, npz_path in mapping: | |
| if not os.path.isdir(npz_path): | |
| print(f"[跳过] npz目录不存在: {npz_path}") | |
| continue | |
| print(f"\n🔹 处理 video_id={video_id}") | |
| # Step1 | |
| print("▶ step1 合并原始 npz") | |
| if not run_merge_step1(npz_path, args.merge1_out): | |
| print("❌ step1失败,跳过") | |
| continue | |
| # Step2 | |
| print("▶ step2 再次合并成大npz") | |
| if not run_merge_step2(npz_path, args.merge2_out): | |
| print("❌ step2失败,跳过") | |
| continue | |
| # Step3 | |
| merged_npz = Path(args.merge2_out) / f"{video_id}.npz" | |
| if not merged_npz.exists(): | |
| print(f"❌ step2结果不存在: {merged_npz}") | |
| continue | |
| print("▶ step3 渲染视频") | |
| if run_render_step3(str(merged_npz), args.video_out): | |
| print(f"✅ 渲染完成: {args.video_out}/{video_id}_pose_video.mp4") | |
| else: | |
| print("❌ 渲染失败") | |
| print("\n🎉 所有流程完成") | |
| if __name__ == "__main__": | |
| main() | |