Bounding Box error when training but no transformation function was passed #921
Description
Dataset
Sanity checks
`#initial the model and change the corresponding config file
m = main.deepforest()
m.config["train"]["csv_file"] = annotations_file
m.config["train"]["root_dir"] = os.path.dirname(annotations_file)
#Since this is a demo example and we aren't training for long, only show the higher quality boxes
m.config["score_thresh"] = 0.4
m.config["train"]['epochs'] = 2
m.config["validation"]["csv_file"] = validation_file
m.config["validation"]["root_dir"] = os.path.dirname(validation_file)
#create a pytorch lighting trainer used to training
m.create_trainer()
#load the lastest release model
m.use_release()
start_time = time.time()
m.trainer.fit(m)
print(f"--- Training on CPU: {(time.time() - start_time):.2f} seconds ---")
`
