SYMBOL INDEX (158 symbols across 8 files)

FILE: dataset.py
  class TrainSetLoader (line 8) | class TrainSetLoader(Dataset):
    method __init__ (line 9) | def __init__(self, dataset_dir, dataset_name, patch_size, img_norm_cfg...
    method __getitem__ (line 22) | def __getitem__(self, idx):
    method __len__ (line 54) | def __len__(self):
  class TrainSetLoader02 (line 57) | class TrainSetLoader02(Dataset):
    method __init__ (line 58) | def __init__(self, dataset_dir, dataset_name, patch_size, img_norm_cfg...
    method __getitem__ (line 71) | def __getitem__(self, idx):
    method __len__ (line 103) | def __len__(self):
  class TrainSetLoader03 (line 107) | class TrainSetLoader03(Dataset):
    method __init__ (line 108) | def __init__(self, dataset_dir, dataset_name, patch_size, img_norm_cfg...
    method __getitem__ (line 121) | def __getitem__(self, idx):
    method __len__ (line 153) | def __len__(self):
  class TrainSetLoader04 (line 157) | class TrainSetLoader04(Dataset):
    method __init__ (line 158) | def __init__(self, dataset_dir, dataset_name, patch_size, img_norm_cfg...
    method __getitem__ (line 171) | def __getitem__(self, idx):
    method __len__ (line 203) | def __len__(self):
  class TestSetLoader (line 206) | class TestSetLoader(Dataset):
    method __init__ (line 207) | def __init__(self, dataset_dir, train_dataset_name, test_dataset_name,...
    method __getitem__ (line 218) | def __getitem__(self, idx):
    method __len__ (line 246) | def __len__(self):
  class EvalSetLoader (line 250) | class EvalSetLoader(Dataset):
    method __init__ (line 251) | def __init__(self, dataset_dir, mask_pred_dir, test_dataset_name, mode...
    method __getitem__ (line 260) | def __getitem__(self, idx):
    method __len__ (line 279) | def __len__(self):
  class augumentation (line 283) | class augumentation(object):
    method __call__ (line 284) | def __call__(self, input, target):

FILE: metrics.py
  class ROCMetric (line 6) | class ROCMetric():
    method __init__ (line 10) | def __init__(self, nclass, bins):
    method update (line 24) | def update(self, preds, labels):
    method get (line 36) | def get(self):
    method reset (line 45) | def reset(self):
  class mIoU (line 53) | class mIoU():
    method __init__ (line 55) | def __init__(self):
    method update (line 59) | def update(self, preds, labels):
    method get (line 67) | def get(self):
    method reset (line 73) | def reset(self):
  class PD_FA (line 80) | class PD_FA():
    method __init__ (line 81) | def __init__(self, ):
    method update (line 90) | def update(self, preds, labels, size):
    method get (line 127) | def get(self):
    method reset (line 132) | def reset(self):
  function batch_pix_accuracy (line 137) | def batch_pix_accuracy(output, target):
  function batch_intersection_union (line 153) | def batch_intersection_union(output, target):

FILE: model/Config.py
  function get_SCTrans_config (line 17) | def get_SCTrans_config():

FILE: model/SCTransNet.py
  function get_CTranS_config (line 22) | def get_CTranS_config():
  class Channel_Embeddings (line 39) | class Channel_Embeddings(nn.Module):
    method __init__ (line 40) | def __init__(self, config, patchsize, img_size, in_channels):
    method forward (line 53) | def forward(self, x):
  class Reconstruct (line 60) | class Reconstruct(nn.Module):
    method __init__ (line 61) | def __init__(self, in_channels, out_channels, kernel_size, scale_factor):
    method forward (line 73) | def forward(self, x):
  class Attention_org (line 86) | class Attention_org(nn.Module):
    method __init__ (line 87) | def __init__(self, config, vis, channel_num):
    method forward (line 148) | def forward(self, emb1, emb2, emb3, emb4, emb_all):
  function to_3d (line 211) | def to_3d(x):
  function to_4d (line 215) | def to_4d(x, h, w):
  class BiasFree_LayerNorm (line 219) | class BiasFree_LayerNorm(nn.Module):
    method __init__ (line 220) | def __init__(self, normalized_shape):
    method forward (line 231) | def forward(self, x):
  class WithBias_LayerNorm (line 236) | class WithBias_LayerNorm(nn.Module):
    method __init__ (line 237) | def __init__(self, normalized_shape):
    method forward (line 249) | def forward(self, x):
  class LayerNorm3d (line 255) | class LayerNorm3d(nn.Module):
    method __init__ (line 256) | def __init__(self, dim, LayerNorm_type):
    method forward (line 263) | def forward(self, x):
  class eca_layer_2d (line 267) | class eca_layer_2d(nn.Module):
    method __init__ (line 268) | def __init__(self, channel, k_size=3):
    method forward (line 279) | def forward(self, x):
  class FeedForward (line 287) | class FeedForward(nn.Module):
    method __init__ (line 288) | def __init__(self, dim, ffn_expansion_factor, bias):
    method forward (line 304) | def forward(self, x):
  class Block_ViT (line 315) | class Block_ViT(nn.Module):
    method __init__ (line 316) | def __init__(self, config, vis, channel_num):
    method forward (line 337) | def forward(self, emb1, emb2, emb3, emb4):
  class Encoder (line 380) | class Encoder(nn.Module):
    method __init__ (line 381) | def __init__(self, config, vis, channel_num):
    method forward (line 393) | def forward(self, emb1, emb2, emb3, emb4):
  class ChannelTransformer (line 406) | class ChannelTransformer(nn.Module):
    method __init__ (line 407) | def __init__(self, config, vis, img_size, channel_num=[64, 128, 256, 5...
    method forward (line 425) | def forward(self, en1, en2, en3, en4):
  function get_activation (line 446) | def get_activation(activation_type):
  function _make_nConv (line 454) | def _make_nConv(in_channels, out_channels, nb_Conv, activation='ReLU'):
  class CBN (line 463) | class CBN(nn.Module):
    method __init__ (line 464) | def __init__(self, in_channels, out_channels, activation='ReLU'):
    method forward (line 471) | def forward(self, x):
  class DownBlock (line 477) | class DownBlock(nn.Module):
    method __init__ (line 478) | def __init__(self, in_channels, out_channels, nb_Conv, activation='ReL...
    method forward (line 483) | def forward(self, x):
  class Flatten (line 488) | class Flatten(nn.Module):
    method forward (line 489) | def forward(self, x):
  class CCA (line 493) | class CCA(nn.Module):
    method __init__ (line 494) | def __init__(self, F_g, F_x):
    method forward (line 504) | def forward(self, g, x):
  class UpBlock_attention (line 516) | class UpBlock_attention(nn.Module):
    method __init__ (line 517) | def __init__(self, in_channels, out_channels, nb_Conv, activation='ReL...
    method forward (line 523) | def forward(self, x, skip_x):
  class Res_block (line 530) | class Res_block(nn.Module):
    method __init__ (line 531) | def __init__(self, in_channels, out_channels, stride=1):
    method forward (line 546) | def forward(self, x):
  class SCTransNet (line 561) | class SCTransNet(nn.Module):
    method __init__ (line 562) | def __init__(self, config, n_channels=1, n_classes=1, img_size=256, vi...
    method _make_layer (line 594) | def _make_layer(self, block, input_channels, output_channels, num_bloc...
    method forward (line 601) | def forward(self, x):

FILE: test.py
  function cal_tp_pos_fp_neg (line 17) | def cal_tp_pos_fp_neg(output, target, nclass, score_thresh):
  class SamplewiseSigmoidMetric (line 44) | class SamplewiseSigmoidMetric(object):
    method __init__ (line 48) | def __init__(self, nclass, score_thresh=0.5):
    method update (line 54) | def update(self, preds, labels):
    method get (line 85) | def get(self):
    method reset (line 97) | def reset(self):
  function batch_intersection_union_n (line 105) | def batch_intersection_union_n(output, target, nclass, score_thresh):
  class ROCMetric05 (line 149) | class ROCMetric05():
    method __init__ (line 153) | def __init__(self, nclass, bins):
    method update (line 167) | def update(self, preds, labels):
    method get (line 179) | def get(self):
    method reset (line 189) | def reset(self):
  class mIoU (line 197) | class mIoU():
    method __init__ (line 199) | def __init__(self):
    method update (line 203) | def update(self, preds, labels):
    method get (line 211) | def get(self):
    method reset (line 217) | def reset(self):
  class PDFA (line 224) | class PDFA():
    method __init__ (line 225) | def __init__(self, ):
    method update (line 234) | def update(self, preds, labels, size):
    method get (line 271) | def get(self):
    method reset (line 276) | def reset(self):
  function batch_pix_accuracy (line 281) | def batch_pix_accuracy(output, target):
  function batch_intersection_union (line 297) | def batch_intersection_union(output, target):
  class PD_FA (line 320) | class PD_FA():
    method __init__ (line 321) | def __init__(self, ):
    method update (line 330) | def update(self, preds, labels, size):
    method get (line 369) | def get(self):
    method reset (line 374) | def reset(self):
  function test (line 402) | def test():

FILE: train.py
  function weights_init_kaiming (line 45) | def weights_init_kaiming(m):
  function train (line 56) | def train():
  function test (line 210) | def test(save_pth):
  function save_checkpoint (line 246) | def save_checkpoint(state, save_path):
  class Net (line 253) | class Net(nn.Module):
    method __init__ (line 254) | def __init__(self, model_name, mode):
    method forward (line 264) | def forward(self, img):
    method loss (line 267) | def loss(self, preds, gt_masks):

FILE: utils.py
  function seed_pytorch (line 22) | def seed_pytorch(seed=42):
  function weights_init_xavier (line 31) | def weights_init_xavier(m):
  function weights_init_kaiming (line 44) | def weights_init_kaiming(m):
  class Get_gradient_nopadding (line 55) | class Get_gradient_nopadding(nn.Module):
    method __init__ (line 56) | def __init__(self):
    method forward (line 69) | def forward(self, x):
  function random_crop (line 79) | def random_crop(img, mask, patch_size, pos_prob=None):
  function Normalized (line 105) | def Normalized(img, img_norm_cfg):
  function Denormalization (line 109) | def Denormalization(img, img_norm_cfg):
  function get_img_norm_cfg (line 113) | def get_img_norm_cfg(dataset_name, dataset_dir):
  function get_optimizer (line 160) | def get_optimizer(net, optimizer_name, scheduler_name, optimizer_setting...
  function PadImg (line 212) | def PadImg(img, times=32):

FILE: warmup_scheduler.py
  class GradualWarmupScheduler (line 4) | class GradualWarmupScheduler(_LRScheduler):
    method __init__ (line 17) | def __init__(self, optimizer, multiplier, total_epoch, after_scheduler...
    method get_lr (line 26) | def get_lr(self):
    method step_ReduceLROnPlateau (line 38) | def step_ReduceLROnPlateau(self, metrics, epoch=None):
    method step (line 57) | def step(self, epoch=None, metrics=None):