| import torch | |
| import json | |
| import os | |
| from model import Model | |
| model = Model(device="cuda", dtype=torch.float16) | |
| jsonl_path = "/home/wangjuntong/video_editing_dataset/prompt/multi_object/multi_object_prompt.jsonl" | |
| with open(jsonl_path, "r") as f: | |
| for line in f: | |
| data = json.loads(line) | |
| video_part = data["video"] | |
| edit_prompt = data["edit_prompt"] | |
| input_video = os.path.join("/home/wangjuntong/video_editing_dataset/all_sourse", video_part) | |
| output_path = os.path.join("./outputs/multi_object", video_part) | |
| os.makedirs(os.path.dirname(output_path), exist_ok=True) | |
| try: | |
| model.process_pix2pix( | |
| input_video, | |
| prompt=edit_prompt, | |
| save_path=output_path | |
| ) | |
| print(f"Successfully processed: {input_video}") | |
| except Exception as e: | |
| print(f"Error processing {input_video}: {str(e)}") |