Daft：简化多模态数据处理

import daft

# Load a dataframe from filepaths in an S3 bucket
df = daft.from_glob_path("images/") #非常方便的查阅图片，以表格的形式查看。

df = daft.read_video_frames(r"D:\installed\WeChat_Files\WeChat Files\***\FileStorage\Video\2023-06",
                            
                            
                                image_height=480,
    image_width=640,
    is_key_frame=True, # select only the key frames
                            ) # 非常方便的查阅微信其中的视频

# 1. Download column of image URLs as a column of bytes
# 2. Decode the column of bytes into a column of images
df = df.with_column("image", df["path"].url.download().image.decode())

# Resize each image into 32x32
df = df.with_column("resized", df["image"].image.resize(32, 32))