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Functions130 in github.com/AiEson/CrossMatch

⨍ Functions 130◇ Types & classes 30
Methodforward
(self, input, turnoff_drop=False, need_fp=False)
LA/code/networks/vnet.py:304
Methodforward
(self, x)
LA/code/networks/vnet.py:356
Methodforward
(self, x)
ACDC/model/unet.py:35
Methodforward
(self, x)
ACDC/model/unet.py:48
Methodforward
(self, x1, x2)
ACDC/model/unet.py:69
Methodforward
(self, x)
ACDC/model/unet.py:93
Methodforward
(self, feature)
ACDC/model/unet.py:129
Methodforward
(self, x)
ACDC/model/unet.py:157
Methodforward
(self, x, need_fp=False, need_ema=False, both=False, drop_rate=0.5)
ACDC/model/unet.py:192
Methodforward
(self, out1, out2, ignore=None)
ACDC/util/utils.py:41
Methodforward
(self, out1, out2, ignore=None)
ACDC/util/utils.py:74
Methodforward
(self, inputs, target, weight=None, softmax=False, ignore=None)
ACDC/util/utils.py:109
Functiongenerate_param_report
(logfile, param)
LA/code/dataloaders/utils.py:146
Functionget_dice
(pred, gt)
LA/code/dataloaders/utils.py:214
Functionget_iou
(pred, gt, n_classes=21)
LA/code/dataloaders/utils.py:185
Functionget_mc_dice
(pred, gt, num=2)
LA/code/dataloaders/utils.py:232
Functionkaiming_normal_init_weight
(model)
ACDC/util/utils.py:22
Functionlinear_rampup
Linear rampup
LA/code/utils/ramps.py:29
Functionlr_poly
(base_lr, iter_, max_iter=100, power=0.9)
LA/code/dataloaders/utils.py:181
Functionmulticlass_dice_coeff
(input: Tensor, target: Tensor, reduce_batch_first: bool = False, epsilon=1e-6)
ACDC/util/soft_dice_loss.py:26
Functionpost_processing
(prediction)
LA/code/dataloaders/utils.py:250
Functionrecursive_glob
Performs recursive glob with given suffix and rootdir :param rootdir is the root directory :param suffix is the suffix to be searched
LA/code/dataloaders/utils.py:11
Functionseed_everything
(TORCH_SEED)
ACDC/util/utils.py:12
Functionsigmoid_rampup
Exponential rampup from https://arxiv.org/abs/1610.02242
LA/code/utils/ramps.py:19
Functionsoftmax_dice_loss
Takes softmax on both sides and returns MSE loss Note: - Returns the sum over all examples. Divide by the batch size afterwards if you
LA/code/utils/losses.py:38
Functionsoftmax_kl_loss
Takes softmax on both sides and returns KL divergence Note: - Returns the sum over all examples. Divide by the batch size afterwards if
LA/code/utils/losses.py:87
Functionsoftmax_mse_loss
Takes softmax on both sides and returns MSE loss Note: - Returns the sum over all examples. Divide by the batch size afterwards if you
LA/code/utils/losses.py:67
Functionsparse_init_weight
(model)
LA/code/networks/vnet.py:6
Functionsymmetric_mse_loss
Like F.mse_loss but sends gradients to both directions Note: - Returns the sum over all examples. Divide by the batch size afterwards i
LA/code/utils/losses.py:109
Functionworker_init_fn
(worker_id)
LA/code/train_cross_match.py:130
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