Functions — github.com/XJTU-CVLAB-LOWLEVEL/RNN-MBP

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Functions234 in github.com/XJTU-CVLAB-LOWLEVEL/RNN-MBP

⨍ Functions 234◇ Types & classes 71

Method__init__

(self, in_chs, growth_rate, activation='relu')

model/arches.py:136

Method__init__

(self, in_chs, growth_rate, num_layer, activation='relu')

(self, input_chans, num_features, filter_size)

model/arches.py:228

Method__init__

(self)

model/correlation.py:417

Method__init__

(self, load_pretrain=True, pretrain_fn='./model/network-default.pytorch', device='cuda')

model/flow_pwc.py:23

Method__init__

(self)

model/flow_pwc.py:138

Method__init__

(self, intLevel)

model/flow_pwc.py:206

Method__init__

(self)

model/flow_pwc.py:300

Method__init__

(self, in_planes, out_planes, kernel_size, stride=1, padding=0, dilation=1, groups=1, relu=True,

model/attention.py:7

Method__init__

(self, gate_channels, reduction_ratio=16, pool_types=['avg', 'max'])

model/attention.py:31

Method__init__

(self)

model/attention.py:81

Method__init__

(self, channel, reduction=16, bias=False)

model/RNN-MBP.py:12

Method__init__

(self, n_feat, kernel_size, reduction, act, bias, num_cab)

(self, para, kernel_size=3, reduction=4, bias=False, scale_unetfeats=48)

model/RNN-MBP.py:79

Method__init__

(self, para, kernel_size=3, reduction=4, bias=False, scale_unetfeats=48)

model/RNN-MBP.py:129

Method__init__

(self, n_feat, kernel_size, reduction, act, bias, scale_unetfeats, num_cab)

(self, path, frames, future_frames, past_frames, crop_size=(256, 256), ds_type='train', centralize=True,

data/reds_lmdb.py:15

Method__init__

(self, para, device_id, ds_type='train')

(self, path, frames, future_frames, past_frames, crop_size=(256, 256), data_format='RGB', cen

data/BSD.py:22

Method__init__

(self, para, device_id, ds_type='train')

data/BSD.py:92

Method__init__

(self, path, frames, future_frames, past_frames, crop_size=(256, 256), ds_type='train', centralize=True,

data/gopro_ds_lmdb.py:15

Method__init__

(self, para, device_id, ds_type='train')

data/gopro_ds_lmdb.py:97

Method__init__

(self, path, frames, future_frames, past_frames, crop_size=(256, 256), centralize=True, norm

data/reds.py:22

Method__init__

(self, para, device_id, ds_type='train')

data/reds.py:87

Method__init__

(self, path, frames, future_frames, past_frames, crop_size=(256, 256), ds_type='train', centralize=True,

data/rbvd_lmdb.py:15

Method__init__

(self, para, device_id, ds_type='train')

data/rbvd_lmdb.py:97

Method__init__

(self, path, frames, future_frames, past_frames, crop_size=(256, 256), centralize=True, norm

data/gopro.py:22

Method__init__

(self, para, device_id, ds_type='train')

data/gopro.py:89

Method__init__

(self, para, device_id)

data/data.py:5

Method__init__

(self, path, frames, future_frames, past_frames, crop_size=(256, 256), ds_type='train', centralize=True,

data/DeepVideoDeblurring_lmdb.py:15

Method__init__

(self, para, device_id, ds_type='train')

data/DeepVideoDeblurring_lmdb.py:105

(self, in_channels, out_channels, kernel_size=3, stride=1, padding=1)

(self, centralize=True, normalize=True, val_range=255.)

data/reds_lmdb.py:125

data/gopro_ds_lmdb.py:131

data/rbvd_lmdb.py:131

data/DeepVideoDeblurring_lmdb.py:139

data/reds_lmdb.py:128

data/gopro_ds_lmdb.py:92

Method__len__

(self)

data/gopro_ds_lmdb.py:134

data/rbvd_lmdb.py:134

data/DeepVideoDeblurring_lmdb.py:100

Method__len__

(self)

data/DeepVideoDeblurring_lmdb.py:142

Functioncalc_grad_sobel

(img, device='cuda')

model/utils.py:142

Functioncalc_meanFilter

(img, kernel_size=11, n_channel=1, device='cuda')

model/utils.py:163

Functioncalc_psnr

(img1, img2, rgb_range=1., shave=4)

model/utils.py:128

Functioncost_profile

(model, H, W, seq_length)

model/RNN-MBP.py:291

Functiondata_augment

(*args, hflip=True, rot=True)

model/utils.py:97

Functiondeconv4x4

(in_channels, out_channels, stride=2)

model/arches.py:20

Functiondeconv5x5

(in_channels, out_channels, stride=2)

model/arches.py:24

Functiondist_process

distributed data parallel training

train/ddp.py:22

Functiondownload_file_from_google_drive

(id, destination)

data/download_reds.py:5

Functionestimate_mask

(model, iter_samples)

model/basicvsr.py:138

Methodforward

(self, x)

model/basicvsr.py:150

(self, input, hidden_state)

model/arches.py:238

Methodforward

(self, first, second)

model/correlation.py:291

Methodforward

(self, tensorFirst, tensorSecond)

model/correlation.py:422

Methodforward

(self, frame_1, frame_2)

model/flow_pwc.py:88

Methodforward

(self, tensorInput)

model/flow_pwc.py:195

Methodforward

(self, tensorFirst, tensorSecond, objectPrevious)

model/flow_pwc.py:259

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