Create annots_json_creation_from_csv.py

annots_json_creation_from_csv.py

@@ -0,0 +1,24 @@
+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)