import json
import pandas as pd
from PIL import Image
img_root = f'data/images/'
full_df = pd.read_csv('/content/via_project_7May2024_23h18m_csv.csv')
for img in full_df['filename'].unique():
    df = full_df[full_df['filename']==img]
    obj_list = []
    for i in range(len(df)):
        folder = 'data'
        filename = df.iloc[i]['filename']
        name = json.loads(df['region_attributes'].iloc[i])['type']
        img = Image.open(f'{img_root}{filename}')
        w, h = (str(img.size[0]), str(img.size[1]))
        d = str(3)
        Xmin = json.loads(df['region_shape_attributes'].iloc[i])['x']
        Ymin = json.loads(df['region_shape_attributes'].iloc[i])['y']
        Xmax = Xmin + json.loads(df['region_shape_attributes'].iloc[i])['width']
        Ymax = Ymin + json.loads(df['region_shape_attributes'].iloc[i])['height']
        obj_list.append({"name": name, "bndbox":{"xmin": Xmin, "ymin":Ymin, "xmax":Xmax, "ymax":Ymax }})
    sampleDict = { "folder": folder, "filename": filename, "size": {"width":w, "height":h, "depth":d}, "object": obj_list,
                  }
    with open(f"data/annots/{filename.split('.')[0]}.json", 'w') as fp:
        json.dump(sampleDict, fp)