SYMBOL INDEX (111 symbols across 13 files)

FILE: dataloader/dataset.py
  class SemKITTI (line 20) | class SemKITTI(data.Dataset):
    method __init__ (line 21) | def __init__(self, data_path, imageset = 'train', return_ref = False, ...
    method __len__ (line 53) | def __len__(self):
    method __getitem__ (line 57) | def __getitem__(self, index):
    method save_instance (line 72) | def save_instance(self, out_dir, min_points = 10):
  function absoluteFilePaths (line 118) | def absoluteFilePaths(directory):
  class voxel_dataset (line 123) | class voxel_dataset(data.Dataset):
    method __init__ (line 124) | def __init__(self, in_dataset, args, grid_size, ignore_label = 0, retu...
    method __len__ (line 143) | def __len__(self):
    method __getitem__ (line 147) | def __getitem__(self, index):
  function cart2polar (line 248) | def cart2polar(input_xyz):
  function polar2cat (line 253) | def polar2cat(input_xyz_polar):
  class spherical_dataset (line 258) | class spherical_dataset(data.Dataset):
    method __init__ (line 259) | def __init__(self, in_dataset, args, grid_size, ignore_label = 0, retu...
    method __len__ (line 278) | def __len__(self):
    method __getitem__ (line 282) | def __getitem__(self, index):
  function nb_process_label (line 405) | def nb_process_label(processed_label,sorted_label_voxel_pair):
  function nb_process_inst (line 421) | def nb_process_inst(processed_inst,sorted_inst_voxel_pair):
  function collate_fn_BEV (line 436) | def collate_fn_BEV(data):
  function collate_fn_BEV_test (line 447) | def collate_fn_BEV_test(data):

FILE: dataloader/instance_augmentation.py
  class instance_augmentation (line 7) | class instance_augmentation(object):
    method __init__ (line 8) | def __init__(self,instance_pkl_path,thing_list,class_weight,random_fli...
    method instance_aug (line 22) | def instance_aug(self, point_xyz, point_label, point_inst, point_feat ...
    method instance_flip (line 138) | def instance_flip(self, points,axis,center,flip_type = 1):
    method check_occlusion (line 160) | def check_occlusion(self,points,center,min_dist=2):
    method rotate_origin (line 168) | def rotate_origin(self,xyz,radians):
    method local_tranform (line 177) | def local_tranform(self,xyz,center):

FILE: dataloader/process_panoptic.py
  class PanopticLabelGenerator (line 5) | class PanopticLabelGenerator(object):
    method __init__ (line 6) | def __init__(self,grid_size,sigma=5,polar=False):
    method __call__ (line 24) | def __call__(self,inst,xyz,voxel_inst,voxel_position,label_dict,min_bo...

FILE: network/BEV_Unet.py
  class BEV_Unet (line 11) | class BEV_Unet(nn.Module):
    method __init__ (line 13) | def __init__(self,n_class,n_height,dilation = 1,group_conv=False,input...
    method forward (line 22) | def forward(self, x):
  class UNet (line 32) | class UNet(nn.Module):
    method __init__ (line 33) | def __init__(self, n_class,n_height,dilation,group_conv,input_batch_no...
    method forward (line 62) | def forward(self, x):
  class double_conv (line 88) | class double_conv(nn.Module):
    method __init__ (line 90) | def __init__(self, in_ch, out_ch,group_conv,dilation=1):
    method forward (line 111) | def forward(self, x):
  class double_conv_circular (line 115) | class double_conv_circular(nn.Module):
    method __init__ (line 117) | def __init__(self, in_ch, out_ch,group_conv,dilation=1):
    method forward (line 142) | def forward(self, x):
  class inconv (line 151) | class inconv(nn.Module):
    method __init__ (line 152) | def __init__(self, in_ch, out_ch, dilation, input_batch_norm, circular...
    method forward (line 171) | def forward(self, x):
  class down (line 176) | class down(nn.Module):
    method __init__ (line 177) | def __init__(self, in_ch, out_ch, dilation, group_conv, circular_paddi...
    method forward (line 190) | def forward(self, x):
  class up (line 195) | class up(nn.Module):
    method __init__ (line 196) | def __init__(self, in_ch, out_ch, circular_padding, bilinear=True, gro...
    method forward (line 217) | def forward(self, x1, x2):
  class outconv (line 238) | class outconv(nn.Module):
    method __init__ (line 239) | def __init__(self, in_ch, out_ch):
    method forward (line 243) | def forward(self, x):

FILE: network/instance_post_processing.py
  function find_instance_center (line 8) | def find_instance_center(ctr_hmp, threshold=0.1, nms_kernel=5, top_k=Non...
  function group_pixels (line 52) | def group_pixels(ctr, offsets, polar=False):
  function get_instance_segmentation (line 92) | def get_instance_segmentation(sem_seg, ctr_hmp, offsets, thing_list, thr...
  function merge_semantic_and_instance (line 128) | def merge_semantic_and_instance(sem_seg, sem, ins_seg, label_divisor, th...
  function get_panoptic_segmentation (line 164) | def get_panoptic_segmentation(sem, ctr_hmp, offsets, thing_list, label_d...

FILE: network/loss.py
  function _neg_loss (line 8) | def _neg_loss(pred, gt):
  class FocalLoss (line 27) | class FocalLoss(torch.nn.Module):
    method __init__ (line 29) | def __init__(self):
    method forward (line 33) | def forward(self, out, target):
  class panoptic_loss (line 36) | class panoptic_loss(torch.nn.Module):
    method __init__ (line 37) | def __init__(self, ignore_label = 255, center_loss_weight = 100, offse...
    method reset_loss_dict (line 62) | def reset_loss_dict(self):
    method forward (line 67) | def forward(self,prediction,center,offset,gt_label,gt_center,gt_offset...

FILE: network/lovasz_losses.py
  function lovasz_grad (line 17) | def lovasz_grad(gt_sorted):
  function iou_binary (line 32) | def iou_binary(preds, labels, EMPTY=1., ignore=None, per_image=True):
  function iou (line 52) | def iou(preds, labels, C, EMPTY=1., ignore=None, per_image=False):
  function lovasz_hinge (line 77) | def lovasz_hinge(logits, labels, per_image=True, ignore=None):
  function lovasz_hinge_flat (line 93) | def lovasz_hinge_flat(logits, labels):
  function flatten_binary_scores (line 113) | def flatten_binary_scores(scores, labels, ignore=None):
  class StableBCELoss (line 128) | class StableBCELoss(torch.nn.modules.Module):
    method __init__ (line 129) | def __init__(self):
    method forward (line 131) | def forward(self, input, target):
  function binary_xloss (line 137) | def binary_xloss(logits, labels, ignore=None):
  function lovasz_softmax (line 152) | def lovasz_softmax(probas, labels, classes='present', per_image=False, i...
  function lovasz_softmax_flat (line 170) | def lovasz_softmax_flat(probas, labels, classes='present'):
  function flatten_probas (line 201) | def flatten_probas(probas, labels, ignore=None):
  function xloss (line 223) | def xloss(logits, labels, ignore=None):
  function jaccard_loss (line 229) | def jaccard_loss(probas, labels,ignore=None, smooth = 100, bk_class = No...
  function hinge_jaccard_loss (line 257) | def hinge_jaccard_loss(probas, labels,ignore=None, classes = 'present', ...
  function isnan (line 294) | def isnan(x):
  function mean (line 298) | def mean(l, ignore_nan=False, empty=0):

FILE: network/ptBEV.py
  class ptBEVnet (line 11) | class ptBEVnet(nn.Module):
    method __init__ (line 13) | def __init__(self, BEV_net, grid_size, pt_model = 'pointnet', fea_dim ...
    method forward (line 66) | def forward(self, pt_fea, xy_ind, voxel_fea=None):
  function grp_range_torch (line 145) | def grp_range_torch(a,dev):
  function parallel_FPS (line 152) | def parallel_FPS(np_cat_fea,K):
  function nb_greedy_FPS (line 156) | def nb_greedy_FPS(xyz,K):

FILE: test_pretrain.py
  function SemKITTI2train (line 24) | def SemKITTI2train(label):
  function SemKITTI2train_single (line 30) | def SemKITTI2train_single(label):
  function main (line 33) | def main(args):

FILE: train.py
  function SemKITTI2train (line 23) | def SemKITTI2train(label):
  function SemKITTI2train_single (line 29) | def SemKITTI2train_single(label):
  function load_pretrained_model (line 32) | def load_pretrained_model(model,pretrained_model):
  function main (line 39) | def main(args):

FILE: utils/configs.py
  function merge_configs (line 4) | def merge_configs(cfgs,new_cfgs):

FILE: utils/eval_pq.py
  class PanopticEval (line 6) | class PanopticEval:
    method __init__ (line 12) | def __init__(self, n_classes, device=None, ignore=None, offset=2**32, ...
    method num_classes (line 26) | def num_classes(self):
    method reset (line 29) | def reset(self):
    method addBatchSemIoU (line 40) | def addBatchSemIoU(self, x_sem, y_sem):
    method getSemIoUStats (line 47) | def getSemIoUStats(self):
    method getSemIoU (line 62) | def getSemIoU(self):
    method getSemAcc (line 75) | def getSemAcc(self):
    method addBatchPanoptic (line 88) | def addBatchPanoptic(self, x_sem_row, x_inst_row, y_sem_row, y_inst_row):
    method getPQ (line 156) | def getPQ(self):
    method addBatch (line 174) | def addBatch(self, x_sem, x_inst, y_sem, y_inst):  # x=preds, y=targets

FILE: utils/visual.py
  function flow_to_img (line 6) | def flow_to_img(flow, normalize=True):