mmsegmentation/configs/fastfcn/fastfcn_r50-d32_jpu_enc_4xb4-80k_cityscapes-512x1024.py

# model settings
_base_ = './fastfcn_r50-d32_jpu_enc_4xb2-80k_cityscapes-512x1024.py'
train_dataloader = dict(batch_size=4, num_workers=4)
val_dataloader = dict(batch_size=1, num_workers=4)
test_dataloader = val_dataloader
[Feature] Support FastFCN (#885) * FastFCN first commit * FastFCN first commit * Fixing lint error * Fixing lint error * use for loop on JPU * Use For Loop * Refactor FastFCN * FastFCN * FastFCN * temp * Uploading models & logs (4x4) * Fixing typos * fix typos * rename config * change README.md * use _delete_=True * change configs * change start_level to 0 * change start_level to 0 * jpu * add unittest for start_level!=0 2021-10-01 02:41:24 +08:00			`# model settings`
[Refactor] Update config names (#1964) * rename ann configs * update ann yml * update * update * update * update * update * update ann readme * update * update deeplabv3 * update readme * fix yml * fix beit 2022-08-26 18:48:56 +08:00			`_base_ = './fastfcn_r50-d32_jpu_enc_4xb2-80k_cityscapes-512x1024.py'`
[Refactor] Refactor Dataset and its Transform Config files 2022-05-31 14:28:42 +00:00			`train_dataloader = dict(batch_size=4, num_workers=4)`
[Fix] Fix batch size of val_dataloader to 1. 2022-06-12 09:10:26 +00:00			`val_dataloader = dict(batch_size=1, num_workers=4)`
[Refactor] Refactor Dataset and its Transform Config files 2022-05-31 14:28:42 +00:00			`test_dataloader = val_dataloader`