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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) |