import os import numpy as np import argparse from scripts._obj import ObjHandle from multiprocessing import Pool, cpu_count def process_file(args_tuple): """Process a single input file.""" input_file, bs, vert_neutrals, output_dir = args_tuple arkit_seq = np.load(input_file) print(f"Processing: {input_file}") template_key = os.path.basename(input_file).split('_')[1] vert_seq = [] for frame_arkit in arkit_seq: vert_offset = bs.T @ frame_arkit vert_seq.append(vert_offset) vert_seq = np.stack(vert_seq, axis=0) vert_neutral = vert_neutrals.get(template_key, vert_neutrals.get('default', next(iter(vert_neutrals.values())))) vert_seq = vert_seq + vert_neutral print(f"Output: {vert_seq.shape}") output_file = os.path.join(output_dir, os.path.basename(input_file)) np.save(output_file, vert_seq) return output_file if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--input', '-i', type=str, default=os.path.join('..', 'face_ict'), help='Path to arkit npy file or folder') parser.add_argument('--templates', '-t', type=str, default=os.path.join('..', 'face_ict_templates'), help='Path to template obj file or folder') parser.add_argument('--output', '-o', type=str, default=os.path.join('..', 'face_vertices'), help='Folder path to store output npy sequence file') parser.add_argument('--bs', '-p', type=str, default='blendshape_ict.npy', help='Path to PCA model') parser.add_argument('--workers', '-w', type=int, default=cpu_count(), help='Number of parallel workers') args = parser.parse_args() os.makedirs(args.output, exist_ok=True) bs = np.load(args.bs) vert_neutrals = {} if os.path.isdir(args.templates): for f in sorted(os.listdir(args.templates)): if f.endswith('.obj'): template_path = os.path.join(args.templates, f) obj = ObjHandle(template_path, triangulate=True) vert_neutrals[f[:-4]] = obj.vertices.reshape(-1)[None] else: obj = ObjHandle(args.templates, triangulate=True) vert_neutrals['default'] = obj.vertices.reshape(-1)[None] if os.path.isdir(args.input): input_files = [os.path.join(args.input, f) for f in sorted(os.listdir(args.input)) if f.endswith('.npy')] else: input_files = [args.input] print(f"Processing {len(input_files)} files using {args.workers} workers...") # Prepare arguments for each file process_args = [(input_file, bs, vert_neutrals, args.output) for input_file in input_files] # Process files in parallel with Pool(args.workers) as pool: results = pool.map(process_file, process_args) print(f"Done! Processed {len(results)} files.")