Thank you for sharing interesting research result.
To run the code, it seems a pre-trained car model on the COCO dataset is needed. I reviewed the provided configuration file for training this model, but noticed that the required annotations file is missing. Could you kindly share these files?
'annotations/instances_car_clean_train2017.json'
'annotations/instances_car_clean_val2017.json'
train=dict(
type=dataset_type,
ann_file=data_root + 'annotations/instances_car_clean_train2017.json',
img_prefix=data_root + 'train2017/',
pipeline=train_pipeline),
val=dict(
type=dataset_type,
ann_file=data_root + 'annotations/instances_car_clean_val2017.json',
img_prefix=data_root + 'val2017/',
pipeline=test_pipeline),
test=dict(
type=dataset_type,
ann_file=data_root + 'annotations/instances_car_clean_val2017.json',
img_prefix=data_root + 'val2017/',
pipeline=test_pipeline))
Thank you for sharing interesting research result.
To run the code, it seems a pre-trained car model on the COCO dataset is needed. I reviewed the provided configuration file for training this model, but noticed that the required annotations file is missing. Could you kindly share these files?
'annotations/instances_car_clean_train2017.json'
'annotations/instances_car_clean_val2017.json'