Convert XML File into Pandas Dataframe

Question

I want to convert a XML file into an Pandas Dataframe.

XML file:

<image id="0" name="img1.jpg" width="1024" height="488">
  <polyline label="Heizung" points="1.0,1.0;1.0,2.0;1.5,1.5">
  </polyline>
  <polyline label="Fenster" points="2.0,1.0;3.0,1.0;0.5,1.5">
  </polyline>
</image>
<image id="1" name="img2.jpg" width="355" height="355">
  <polyline label="Heizung" points="3.0,2.0;1.3,1.0;2.5,1.5">
  </polyline>
  <polyline label="Fenster" points="1.5,2.0;3.0,1.0;0.5,1.5">
  </polyline>
</image>
<image id="2" name="img3.jpg" width="620" height="502">
  <polyline label="Heizung" points="3.0,1.0;2.0,0.5;1.0,1.0">
  </polyline>
</image>

I want my dataframe to look like this:

| id | name     | width | height | label   | points |
| -- | -------- | ----- | ------ | ------- | ------ |
| 0  | img1.jpg | 1024  | 488    | Heizung | [...] |
| 0  | img1.jpg | 1024  | 488    | Fenster | [...] |
| 1  | img2.jpg | 355   | 355    | Heizung | [...] |
| 1  | img2.jpg | 355   | 355    | Fenster | [...] |
| 2  | img3.jpg | 1024  | 488    | Heizung | [...] |

When I use the following code, I just get id, name, width, height, polyline as values and the values for polyline are nan. df1 is a (3,5) dataframe.

df1 = pd.read_xml("input.xml", xpath=".//image")

When I use the following code, I get the label and points, but not the ID, so i can't join the dataframes. df2 is a (5,2) dataframe

df2 = pd.read_xml("input.xml", xpath=".//polyline")

How can I merge or join both dataframes to get the wanted format?

Thank you very much in advance