Training on custom data

[SashaNix]

Good day, I see in the inference branch that you use several models, like
0809_sched_v2_fixed_Flip(fixed)_weight0.1_val.h5
0809_reverse_sched_v2_fixed_Flip(fixed)_weight0.1_val
0809_reverse_sched_fixed_tf_cbl_2.0_second_Flip_val
0808_sched_fixed_tf_cbl_2.0_second_Flip_val
0805_mask_model_val

Is there any code related to training this models?

[limhoyeon]

Thank you for your interest in my research.
Im sorry but I dont have the codes you want now..
But these models are not much different from the codes in main branch except flip augmentation, scheduler setting and loss for contrastive boundary learning..
Thank you

[SashaNix]

I see, but can you tell what type of models are these?
in the main branch I see 3 type of models training: tgnet, tsegnet and pointnet

[limhoyeon]

I used my model(tgnet)!