TypeError: exceptions must derive from BaseException

[IamSparky]

When I tried to run the command
!python train.py --dataset csv --csv_train ../training.csv --csv_classes ../wheat_head_class_list.csv --csv_val ../validation.csv

got the error:

**CUDA available: True
Traceback (most recent call last):
File "/content/pytorch-retinanet/retinanet/dataloader.py", line 166, in _parse
return function(value)
ValueError: invalid literal for int() with base 10: '245.0'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "train.py", line 180, in
main()
File "train.py", line 57, in main
transform=transforms.Compose([Normalizer(), Augmenter(), Resizer()]))
File "/content/pytorch-retinanet/retinanet/dataloader.py", line 153, in init
self.image_data = self._read_annotations(csv.reader(file, delimiter=','), self.classes)
File "/content/pytorch-retinanet/retinanet/dataloader.py", line 270, in _read_annotations
x1 = self._parse(x1, int, 'line {}: malformed x1: {{}}'.format(line))
File "/content/pytorch-retinanet/retinanet/dataloader.py", line 168, in _parse
raise(ValueError(fmt.format(e)), None)
TypeError: exceptions must derive from BaseException**

Here's the link to my notebook

[yhenon]

The important part is here:
ValueError: invalid literal for int() with base 10: '245.0'

It looks like your class file is messed up somehow? Could you post it here?

[IamSparky]

here I am posting out the files that I have created

[yhenon]

- You need to have only 1 bounding box per line, i.e.: /data/imgs/img_001.jpg,837,346,981,456,wheat-head /data/imgs/img_002.jpg,215,312,279,391,wheat-head /data/imgs/img_002.jpg,22,5,89,84,wheat-head Values should be int, not float, so `942.0` -> `942`

…

On Sat, Jul 18, 2020 at 2:40 PM soumochatterjee ***@***.***> wrote: here I am posting out the files that I have created [image: image] <https://user-images.githubusercontent.com/42636586/87859619-0fef5380-c954-11ea-9039-538e1fb7d836.png> — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#175 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ACL3RSUUBUODNIVKFLMIZOLR4HUALANCNFSM4O7Y5KEA> .