Spaces:
Running
Running
import os | |
from gradio_client import Client, handle_file | |
from shutil import copy2 | |
from tqdm import tqdm | |
# 定义输入视频目录和输出目录 | |
input_dir = "../Bakemonogatari_Videos_Splited" | |
output_dir = "../Bakemonogatari_Videos_Splited_Depth" | |
# 如果输出目录不存在,则创建它 | |
if not os.path.exists(output_dir): | |
os.makedirs(output_dir) | |
# 遍历输入目录中的所有 .mp4 文件 | |
for filename in tqdm(os.listdir(input_dir)): | |
print(filename) | |
#break | |
if filename.endswith(".mp4"): | |
video_path = os.path.join(input_dir, filename) | |
# 初始化 Gradio 客户端 | |
client = Client("http://127.0.0.1:7860") | |
# 调用 API | |
result = client.predict( | |
input_video={"video": handle_file(video_path)}, | |
max_len=500, | |
target_fps=15, | |
max_res=1280, | |
grayscale=False, | |
api_name="/infer_video_depth" | |
) | |
# 获取处理后的视频路径 | |
processed_video_path = result[1]["video"] | |
# 将处理后的视频拷贝到输出目录 | |
output_video_path = os.path.join(output_dir, os.path.basename(processed_video_path)) | |
copy2(processed_video_path, output_video_path) | |
print(f"Processed and copied {filename} to {output_video_path}") | |