SYMBOL INDEX (219 symbols across 27 files)

FILE: datasets/MiddleburyLoader.py
  function is_image_file (line 17) | def is_image_file(filename):
  function default_loader (line 21) | def default_loader(path):
  function disparity_loader (line 25) | def disparity_loader(path):
  class myImageFloder (line 36) | class myImageFloder(data.Dataset):
    method __init__ (line 38) | def __init__(self, left, right, left_disparity, training, right_dispar...
    method __getitem__ (line 48) | def __getitem__(self, index):
    method __len__ (line 175) | def __len__(self):

FILE: datasets/data_io.py
  function get_transform (line 6) | def get_transform():
  function get_transform_aug (line 15) | def get_transform_aug():
  function read_all_lines (line 25) | def read_all_lines(filename):
  function pfm_imread (line 32) | def pfm_imread(filename):

FILE: datasets/eth3dLoader.py
  function is_image_file (line 17) | def is_image_file(filename):
  function default_loader (line 21) | def default_loader(path):
  function disparity_loader (line 25) | def disparity_loader(path):
  class myImageFloder (line 36) | class myImageFloder(data.Dataset):
    method __init__ (line 38) | def __init__(self, left, right, left_disparity, training, right_dispar...
    method __getitem__ (line 47) | def __getitem__(self, index):
    method __len__ (line 165) | def __len__(self):

FILE: datasets/eth3d_dataset.py
  class ETH3DStereoDataset (line 25) | class ETH3DStereoDataset(BaseDataset):
    method __init__ (line 27) | def __init__(self,
    method load_images (line 42) | def load_images(self, idx, do_flip=False):
    method load_disparity (line 50) | def load_disparity(self, idx, do_flip=False):
    method __getitem__ (line 58) | def __getitem__(self, idx):

FILE: datasets/flow_transforms.py
  class Compose (line 10) | class Compose(object):
    method __init__ (line 14) | def __init__(self, co_transforms):
    method __call__ (line 17) | def __call__(self, input, target):
  class Compose_mask (line 22) | class Compose_mask(object):
    method __init__ (line 26) | def __init__(self, co_transforms):
    method __call__ (line 29) | def __call__(self, input, target, mask):
  class Scale (line 36) | class Scale(object):
    method __init__ (line 40) | def __init__(self, size, order=2):
    method __call__ (line 50) | def __call__(self, inputs, target):
  class RandomCrop (line 61) | class RandomCrop(object):
    method __init__ (line 65) | def __init__(self, size):
    method __call__ (line 71) | def __call__(self, inputs,target):
  class RandomCrop_mask (line 83) | class RandomCrop_mask(object):
    method __init__ (line 87) | def __init__(self, size):
    method __call__ (line 93) | def __call__(self, inputs,target,mask):
  class RandomVdisp (line 106) | class RandomVdisp(object):
    method __init__ (line 110) | def __init__(self, angle, px, diff_angle=0, order=2, reshape=False):
    method __call__ (line 117) | def __call__(self, inputs,target):

FILE: datasets/kitti_dataset_1215.py
  class KITTIDataset (line 13) | class KITTIDataset(Dataset):
    method __init__ (line 14) | def __init__(self, kitti15_datapath, kitti12_datapath, list_filename, ...
    method load_path (line 22) | def load_path(self, list_filename):
    method load_image (line 33) | def load_image(self, filename):
    method load_disp (line 36) | def load_disp(self, filename):
    method __len__ (line 41) | def __len__(self):
    method __getitem__ (line 44) | def __getitem__(self, index):

FILE: datasets/kitti_dataset_1215_augmentation.py
  class KITTIDataset (line 15) | class KITTIDataset(Dataset):
    method __init__ (line 16) | def __init__(self, kitti15_datapath, kitti12_datapath, list_filename, ...
    method load_path (line 24) | def load_path(self, list_filename):
    method load_image (line 35) | def load_image(self, filename):
    method load_disp (line 38) | def load_disp(self, filename):
    method __len__ (line 43) | def __len__(self):
    method __getitem__ (line 46) | def __getitem__(self, index):

FILE: datasets/kittiraw_loader.py
  function listfiles (line 14) | def listfiles(filepath):
  class ImageLoader (line 32) | class ImageLoader(Dataset):
    method __init__ (line 33) | def __init__(self, left, right):
    method load_path (line 37) | def load_path(self, list_filename):
    method load_image (line 48) | def load_image(self, filename):
    method load_disp (line 51) | def load_disp(self, filename):
    method __len__ (line 56) | def __len__(self):
    method __getitem__ (line 59) | def __getitem__(self, index):
    method __len__ (line 86) | def __len__(self):

FILE: datasets/listfiles.py
  function dataloader (line 11) | def dataloader(filepath):

FILE: datasets/middlebury_data.py
  function pil_loader (line 9) | def pil_loader(path):
  function readlines (line 16) | def readlines(filename):
  function read_pfm (line 22) | def read_pfm(file):
  class MiddleburyStereoDataset (line 31) | class MiddleburyStereoDataset:
    method __init__ (line 33) | def __init__(self,
    method load_images (line 53) | def load_images(self, idx, do_flip=False):
    method load_disparity (line 62) | def load_disparity(self, idx, do_flip=False):
    method preprocess (line 70) | def preprocess(self, inputs):
    method __len__ (line 78) | def __len__(self):
    method __getitem__ (line 81) | def __getitem__(self, idx):

FILE: datasets/middlebury_data_our.py
  function pil_loader (line 10) | def pil_loader(path):
  function readlines (line 17) | def readlines(filename):
  function read_pfm (line 23) | def read_pfm(file):
  class MiddleburyStereoDataset (line 32) | class MiddleburyStereoDataset:
    method __init__ (line 34) | def __init__(self,
    method load_images (line 55) | def load_images(self, idx, do_flip=False):
    method load_disparity (line 64) | def load_disparity(self, idx, do_flip=False):
    method preprocess (line 72) | def preprocess(self, inputs):
    method __len__ (line 80) | def __len__(self):
    method __getitem__ (line 83) | def __getitem__(self, idx):

FILE: datasets/middlebury_loader.py
  function mb_loader (line 10) | def mb_loader(filepath, res):
  function img_loader (line 41) | def img_loader(path):
  function disparity_loader (line 45) | def disparity_loader(path):
  class myDataset (line 49) | class myDataset(data.Dataset):
    method __init__ (line 51) | def __init__(self, left, right, left_disp, training, imgloader=img_loa...
    method __getitem__ (line 62) | def __getitem__(self, index):
    method __len__ (line 116) | def __len__(self):
  function horizontal_flip (line 120) | def horizontal_flip(img):

FILE: datasets/readpfm.py
  function readPFM (line 6) | def readPFM(file):

FILE: datasets/sceneflow_dataset.py
  class SceneFlowDatset (line 14) | class SceneFlowDatset(Dataset):
    method __init__ (line 15) | def __init__(self, datapath, list_filename, training):
    method load_path (line 20) | def load_path(self, list_filename):
    method load_image (line 28) | def load_image(self, filename):
    method load_disp (line 31) | def load_disp(self, filename):
    method __len__ (line 36) | def __len__(self):
    method __getitem__ (line 39) | def __getitem__(self, index):

FILE: datasets/sceneflow_dataset_augmentation.py
  class SceneFlowDatset (line 12) | class SceneFlowDatset(Dataset):
    method __init__ (line 13) | def __init__(self, datapath, list_filename, training):
    method load_path (line 18) | def load_path(self, list_filename):
    method load_image (line 26) | def load_image(self, filename):
    method load_disp (line 29) | def load_disp(self, filename):
    method __len__ (line 34) | def __len__(self):
    method __getitem__ (line 37) | def __getitem__(self, index):

FILE: main_kitti.py
  function train (line 95) | def train():
  function train_sample (line 147) | def train_sample(sample, compute_metrics=False):
  function test_sample (line 179) | def test_sample(sample, compute_metrics=True):

FILE: main_sceneflow.py
  function train (line 92) | def train():
  function train_sample (line 148) | def train_sample(sample, compute_metrics=False):
  function test_sample (line 179) | def test_sample(sample, compute_metrics=True):

FILE: models/Fast_ACV.py
  class SubModule (line 13) | class SubModule(nn.Module):
    method __init__ (line 14) | def __init__(self):
    method weight_init (line 17) | def weight_init(self):
  class Feature (line 33) | class Feature(SubModule):
    method __init__ (line 34) | def __init__(self):
    method forward (line 50) | def forward(self, x):
  class FeatUp (line 59) | class FeatUp(SubModule):
    method __init__ (line 60) | def __init__(self):
    method forward (line 70) | def forward(self, featL, featR=None):
  class channelAtt (line 88) | class channelAtt(SubModule):
    method __init__ (line 89) | def __init__(self, cv_chan, im_chan):
    method forward (line 98) | def forward(self, cv, im):
  class hourglass (line 104) | class hourglass(nn.Module):
    method __init__ (line 105) | def __init__(self, in_channels):
    method forward (line 133) | def forward(self, x, imgs):
  class hourglass_att (line 150) | class hourglass_att(nn.Module):
    method __init__ (line 151) | def __init__(self, in_channels):
    method forward (line 179) | def forward(self, x, imgs):
  class Fast_ACVNet (line 196) | class Fast_ACVNet(nn.Module):
    method __init__ (line 197) | def __init__(self, maxdisp, att_weights_only):
    method concat_volume_generator (line 243) | def concat_volume_generator(self, left_input, right_input, disparity_s...
    method forward (line 249) | def forward(self, left, right):

FILE: models/Fast_ACV_plus.py
  class SubModule (line 13) | class SubModule(nn.Module):
    method __init__ (line 14) | def __init__(self):
    method weight_init (line 17) | def weight_init(self):
  class Feature (line 33) | class Feature(SubModule):
    method __init__ (line 34) | def __init__(self):
    method forward (line 49) | def forward(self, x):
  class FeatUp (line 58) | class FeatUp(SubModule):
    method __init__ (line 59) | def __init__(self):
    method forward (line 69) | def forward(self, featL, featR=None):
  class channelAtt (line 84) | class channelAtt(SubModule):
    method __init__ (line 85) | def __init__(self, cv_chan, im_chan):
    method forward (line 94) | def forward(self, cv, im):
  class hourglass (line 99) | class hourglass(nn.Module):
    method __init__ (line 100) | def __init__(self, in_channels):
    method forward (line 127) | def forward(self, x, imgs):
  class hourglass_att (line 143) | class hourglass_att(nn.Module):
    method __init__ (line 144) | def __init__(self, in_channels):
    method forward (line 186) | def forward(self, x, imgs):
  class Fast_ACVNet_plus (line 212) | class Fast_ACVNet_plus(nn.Module):
    method __init__ (line 213) | def __init__(self, maxdisp, att_weights_only):
    method concat_volume_generator (line 248) | def concat_volume_generator(self, left_input, right_input, disparity_s...
    method forward (line 256) | def forward(self, left, right):

FILE: models/loss.py
  function model_loss_train (line 4) | def model_loss_train(disp_ests, disp_gts, img_masks):
  function model_loss_test (line 11) | def model_loss_test(disp_ests, disp_gts,img_masks):

FILE: models/submodule.py
  class BasicConv (line 12) | class BasicConv(nn.Module):
    method __init__ (line 14) | def __init__(self, in_channels, out_channels, deconv=False, is_3d=Fals...
    method forward (line 32) | def forward(self, x):
  class Conv2x (line 41) | class Conv2x(nn.Module):
    method __init__ (line 43) | def __init__(self, in_channels, out_channels, deconv=False, is_3d=Fals...
    method forward (line 68) | def forward(self, x, rem):
  function disparity_regression (line 83) | def disparity_regression(x, maxdisp):
  function build_concat_volume (line 90) | def build_concat_volume(refimg_fea, targetimg_fea, maxdisp):
  function groupwise_correlation (line 104) | def groupwise_correlation(fea1, fea2, num_groups):
  function build_gwc_volume (line 112) | def build_gwc_volume(refimg_fea, targetimg_fea, maxdisp, num_groups):
  function groupwise_correlation_norm (line 124) | def groupwise_correlation_norm(fea1, fea2, num_groups):
  function build_gwc_volume_norm (line 135) | def build_gwc_volume_norm(refimg_fea, targetimg_fea, maxdisp, num_groups):
  function norm_correlation (line 148) | def norm_correlation(fea1, fea2):
  function build_norm_correlation_volume (line 152) | def build_norm_correlation_volume(refimg_fea, targetimg_fea, maxdisp):
  function disparity_variance (line 163) | def disparity_variance(x, maxdisp, disparity):
  function SpatialTransformer_grid (line 171) | def SpatialTransformer_grid(x, y, disp_range_samples):
  class Propagation (line 196) | class Propagation(nn.Module):
    method __init__ (line 197) | def __init__(self):
    method forward (line 201) | def forward(self, disparity_samples):
  class Propagation_prob (line 216) | class Propagation_prob(nn.Module):
    method __init__ (line 217) | def __init__(self):
    method forward (line 221) | def forward(self, prob_volume):
  function context_upsample (line 236) | def context_upsample(depth_low, up_weights):
  function regression_topk (line 251) | def regression_topk(cost, disparity_samples, k):

FILE: save_disp.py
  function test (line 59) | def test():
  function test_sample (line 82) | def test_sample(sample):

FILE: test_mid.py
  function test_trainset (line 50) | def test_trainset():

FILE: utils/experiment.py
  function make_iterative_func (line 13) | def make_iterative_func(func):
  function make_nograd_func (line 27) | def make_nograd_func(func):
  function tensor2float (line 37) | def tensor2float(vars):
  function tensor2numpy (line 47) | def tensor2numpy(vars):
  function check_allfloat (line 57) | def check_allfloat(vars):
  function save_scalars (line 61) | def save_scalars(logger, mode_tag, scalar_dict, global_step):
  function save_images (line 73) | def save_images(logger, mode_tag, images_dict, global_step):
  function adjust_learning_rate (line 91) | def adjust_learning_rate(optimizer, epoch, base_lr, lrepochs):
  class AverageMeter (line 112) | class AverageMeter(object):
    method __init__ (line 113) | def __init__(self):
    method update (line 117) | def update(self, x):
    method mean (line 122) | def mean(self):
  class AverageMeterDict (line 126) | class AverageMeterDict(object):
    method __init__ (line 127) | def __init__(self):
    method update (line 131) | def update(self, x):
    method mean (line 146) | def mean(self):
  function get_world_size (line 155) | def get_world_size():
  function reduce_scalar_outputs (line 164) | def reduce_scalar_outputs(scalar_outputs):

FILE: utils/metrics.py
  function check_shape_for_metric_computation (line 15) | def check_shape_for_metric_computation(*vars):
  function compute_metric_for_each_image (line 22) | def compute_metric_for_each_image(metric_func):
  function D1_metric (line 45) | def D1_metric(D_est, D_gt, mask):
  function Thres_metric (line 53) | def Thres_metric(D_est, D_gt, mask, thres):
  function EPE_metric (line 63) | def EPE_metric(D_est, D_gt, mask):
  function D1_metric_mask (line 71) | def D1_metric_mask(D_est, D_gt, mask, mask_img):
  function Thres_metric_mask (line 80) | def Thres_metric_mask(D_est, D_gt, mask, thres, mask_img):
  function EPE_metric_mask (line 91) | def EPE_metric_mask(D_est, D_gt, mask, mask_img):

FILE: utils/misc.py
  function setup_for_distributed (line 5) | def setup_for_distributed(is_master):
  function init_distributed_mode (line 20) | def init_distributed_mode(args):

FILE: utils/visualization.py
  function gen_error_colormap (line 11) | def gen_error_colormap():
  class disp_error_image_func (line 30) | class disp_error_image_func(Function):
    method forward (line 31) | def forward(self, D_est_tensor, D_gt_tensor, abs_thres=3., rel_thres=0...
    method backward (line 57) | def backward(self, grad_output):