We reproduced the experiments on cityscapes, but get the different results. Is anything wrong with our operation?
First, we follow the SfMLearner wich resized the image to the size of --img_width=416 --img_height=171 and cropped the image to the size of --img_width=416 --img_height=128.
Second, we follow the instruction in your readme instruction which use the instruction as:
python manydepth2.train.py
--data_path
/home/jsw/datasets/cityscapes/cs_raw_sequence_format
--log_dir
logs
--png
--freeze_teacher_epoch
5
--model_name
models_many2_new10
--pytorch_random_seed
1
--batch_size
12
--mode
many2
--split
cityscapes_preprocessed
--dataset
cityscapes_preprocessed
--eval_split
cityscapes
--height
192
--width
512
Is there anything wrong with my instruction or operation? Help!
We reproduced the experiments on cityscapes, but get the different results. Is anything wrong with our operation?
First, we follow the SfMLearner wich resized the image to the size of --img_width=416 --img_height=171 and cropped the image to the size of --img_width=416 --img_height=128.
Second, we follow the instruction in your readme instruction which use the instruction as:
python manydepth2.train.py
--data_path
/home/jsw/datasets/cityscapes/cs_raw_sequence_format
--log_dir
logs
--png
--freeze_teacher_epoch
5
--model_name
models_many2_new10
--pytorch_random_seed
1
--batch_size
12
--mode
many2
--split
cityscapes_preprocessed
--dataset
cityscapes_preprocessed
--eval_split
cityscapes
--height
192
--width
512
Is there anything wrong with my instruction or operation? Help!