SYMBOL INDEX (262 symbols across 37 files)

FILE: configs/default_img.py
  function update_config (line 128) | def update_config(config, args):
  function get_img_config (line 159) | def get_img_config(args):

FILE: configs/default_vid.py
  function update_config (line 134) | def update_config(config, args):
  function get_vid_config (line 165) | def get_vid_config(args):

FILE: data/__init__.py
  function get_names (line 30) | def get_names():
  function build_dataset (line 34) | def build_dataset(config):
  function build_img_transforms (line 49) | def build_img_transforms(config):
  function build_vid_transforms (line 67) | def build_vid_transforms(config):
  function build_dataloader (line 94) | def build_dataloader(config):

FILE: data/dataloader.py
  class BackgroundGenerator (line 29) | class BackgroundGenerator(threading.Thread):
    method __init__ (line 38) | def __init__(self, generator, local_rank, max_prefetch=10):
    method run (line 73) | def run(self):
    method next (line 81) | def next(self):
    method __next__ (line 88) | def __next__(self):
    method __iter__ (line 91) | def __iter__(self):
  class DataLoaderX (line 95) | class DataLoaderX(DataLoader):
    method __init__ (line 96) | def __init__(self, **kwargs):
    method __iter__ (line 102) | def __iter__(self):
    method _shutdown_background_thread (line 108) | def _shutdown_background_thread(self):
    method preload (line 124) | def preload(self):
    method __next__ (line 135) | def __next__(self):
    method shutdown (line 146) | def shutdown(self):

FILE: data/dataset_loader.py
  function read_image (line 8) | def read_image(img_path):
  class ImageDataset (line 24) | class ImageDataset(Dataset):
    method __init__ (line 26) | def __init__(self, dataset, transform=None):
    method __len__ (line 30) | def __len__(self):
    method __getitem__ (line 33) | def __getitem__(self, index):
  function pil_loader (line 41) | def pil_loader(path):
  function accimage_loader (line 48) | def accimage_loader(path):
  function get_default_image_loader (line 57) | def get_default_image_loader():
  function image_loader (line 65) | def image_loader(path):
  function video_loader (line 73) | def video_loader(img_paths, image_loader):
  function get_default_video_loader (line 84) | def get_default_video_loader():
  class VideoDataset (line 89) | class VideoDataset(Dataset):
    method __init__ (line 102) | def __init__(self,
    method __len__ (line 114) | def __len__(self):
    method __getitem__ (line 117) | def __getitem__(self, index):

FILE: data/datasets/ccvid.py
  class CCVID (line 14) | class CCVID(object):
    method __init__ (line 20) | def __init__(self, root='/data/datasets/', sampling_step=64, seq_len=1...
    method _check_before_run (line 79) | def _check_before_run(self):
    method _clothes2label_test (line 90) | def _clothes2label_test(self, query_path, gallery_path):
    method _process_data (line 114) | def _process_data(self, data_path, relabel=False, clothes2label=None):
    method _densesampling_for_trainingset (line 165) | def _densesampling_for_trainingset(self, dataset, sampling_step=64):
    method _recombination_for_testset (line 192) | def _recombination_for_testset(self, dataset, seq_len=16, stride=4):

FILE: data/datasets/deepchange.py
  class DeepChange (line 14) | class DeepChange(object):
    method __init__ (line 23) | def __init__(self, root='data', **kwargs):
    method _get_names (line 87) | def _get_names(self, fpath):
    method get_pid2label_and_clothes2label (line 95) | def get_pid2label_and_clothes2label(self, img_names1, img_names2=None):
    method _check_before_run (line 130) | def _check_before_run(self):
    method _process_dir (line 145) | def _process_dir(self, home_dir, img_names, clothes2label, pid2label=N...

FILE: data/datasets/last.py
  class LaST (line 14) | class LaST(object):
    method __init__ (line 25) | def __init__(self, root='data', **kwargs):
    method get_pid2label_and_clothes2label (line 71) | def get_pid2label_and_clothes2label(self, dir_path):
    method _check_before_run (line 102) | def _check_before_run(self):
    method _process_dir (line 117) | def _process_dir(self, dir_path, pid2label=None, clothes2label=None, r...

FILE: data/datasets/ltcc.py
  class LTCC (line 14) | class LTCC(object):
    method __init__ (line 23) | def __init__(self, root='data', **kwargs):
    method _check_before_run (line 61) | def _check_before_run(self):
    method _process_dir_train (line 72) | def _process_dir_train(self, dir_path):
    method _process_dir_test (line 108) | def _process_dir_test(self, query_path, gallery_path):

FILE: data/datasets/prcc.py
  class PRCC (line 14) | class PRCC(object):
    method __init__ (line 23) | def __init__(self, root='data', **kwargs):
    method _check_before_run (line 71) | def _check_before_run(self):
    method _process_dir_train (line 82) | def _process_dir_train(self, dir_path):
    method _process_dir_test (line 127) | def _process_dir_test(self, test_path):

FILE: data/datasets/vcclothes.py
  class VCClothes (line 14) | class VCClothes(object):
    method __init__ (line 23) | def __init__(self, root='data', mode='all', **kwargs):
    method _check_before_run (line 61) | def _check_before_run(self):
    method _process_dir_train (line 72) | def _process_dir_train(self):
    method _process_dir_test (line 109) | def _process_dir_test(self):
  function VCClothesSameClothes (line 178) | def VCClothesSameClothes(root='data', **kwargs):
  function VCClothesClothesChanging (line 182) | def VCClothesClothesChanging(root='data', **kwargs):

FILE: data/img_transforms.py
  class ResizeWithEqualScale (line 7) | class ResizeWithEqualScale(object):
    method __init__ (line 17) | def __init__(self, height, width, interpolation=Image.BILINEAR, fill_c...
    method __call__ (line 23) | def __call__(self, img):
  class RandomCroping (line 39) | class RandomCroping(object):
    method __init__ (line 46) | def __init__(self, p=0.5, interpolation=Image.BILINEAR):
    method __call__ (line 50) | def __call__(self, img):
  class RandomErasing (line 73) | class RandomErasing(object):
    method __init__ (line 88) | def __init__(self, probability = 0.5, sl = 0.02, sh = 0.4, r1 = 0.3, m...
    method __call__ (line 95) | def __call__(self, img):

FILE: data/samplers.py
  class RandomIdentitySampler (line 10) | class RandomIdentitySampler(Sampler):
    method __init__ (line 19) | def __init__(self, data_source, num_instances=4):
    method __iter__ (line 37) | def __iter__(self):
    method __len__ (line 60) | def __len__(self):
  class DistributedRandomIdentitySampler (line 64) | class DistributedRandomIdentitySampler(Sampler):
    method __init__ (line 81) | def __init__(self, data_source, num_instances=4,
    method __iter__ (line 124) | def __iter__(self):
    method __len__ (line 157) | def __len__(self):
    method set_epoch (line 160) | def set_epoch(self, epoch):
  class DistributedInferenceSampler (line 172) | class DistributedInferenceSampler(Sampler):
    method __init__ (line 184) | def __init__(self, dataset, rank=None, num_replicas=None):
    method __iter__ (line 200) | def __iter__(self):
    method __len__ (line 208) | def __len__(self):

FILE: data/spatial_transforms.py
  class Compose (line 15) | class Compose(object):
    method __init__ (line 28) | def __init__(self, transforms):
    method __call__ (line 31) | def __call__(self, img):
    method randomize_parameters (line 36) | def randomize_parameters(self):
  class ToTensor (line 41) | class ToTensor(object):
    method __init__ (line 47) | def __init__(self, norm_value=255):
    method __call__ (line 50) | def __call__(self, pic):
    method randomize_parameters (line 92) | def randomize_parameters(self):
  class Normalize (line 96) | class Normalize(object):
    method __init__ (line 108) | def __init__(self, mean, std):
    method __call__ (line 112) | def __call__(self, tensor):
    method randomize_parameters (line 124) | def randomize_parameters(self):
  class Scale (line 128) | class Scale(object):
    method __init__ (line 141) | def __init__(self, size, interpolation=Image.BILINEAR):
    method __call__ (line 146) | def __call__(self, img):
    method randomize_parameters (line 168) | def randomize_parameters(self):
  class RandomHorizontalFlip (line 172) | class RandomHorizontalFlip(object):
    method __call__ (line 175) | def __call__(self, img):
    method randomize_parameters (line 186) | def randomize_parameters(self):
  class RandomCrop (line 190) | class RandomCrop(object):
    method __init__ (line 199) | def __init__(self, size, p=0.5, interpolation=Image.BILINEAR):
    method __call__ (line 209) | def __call__(self, img):
    method randomize_parameters (line 228) | def randomize_parameters(self):
  class RandomErasing (line 234) | class RandomErasing(object):
    method __init__ (line 249) | def __init__(self, height=256, width=128, probability = 0.5, sl = 0.02...
    method __call__ (line 258) | def __call__(self, img):
    method randomize_parameters (line 270) | def randomize_parameters(self):

FILE: data/temporal_transforms.py
  class TemporalRandomCrop (line 5) | class TemporalRandomCrop(object):
    method __init__ (line 16) | def __init__(self, size=4, stride=8):
    method __call__ (line 20) | def __call__(self, frame_indices):
  class TemporalBeginCrop (line 49) | class TemporalBeginCrop(object):
    method __init__ (line 60) | def __init__(self, size=8, stride=4):
    method __call__ (line 64) | def __call__(self, frame_indices):
  class TemporalDivisionCrop (line 80) | class TemporalDivisionCrop(object):
    method __init__ (line 86) | def __init__(self, size=4):
    method __call__ (line 89) | def __call__(self, frame_indices):

FILE: losses/__init__.py
  function build_losses (line 11) | def build_losses(config, num_train_clothes):

FILE: losses/arcface_loss.py
  class ArcFaceLoss (line 7) | class ArcFaceLoss(nn.Module):
    method __init__ (line 17) | def __init__(self, scale=16, margin=0.1):
    method forward (line 22) | def forward(self, inputs, targets):

FILE: losses/circle_loss.py
  class CircleLoss (line 8) | class CircleLoss(nn.Module):
    method __init__ (line 18) | def __init__(self, scale=96, margin=0.3, **kwargs):
    method forward (line 23) | def forward(self, inputs, targets):
  class PairwiseCircleLoss (line 43) | class PairwiseCircleLoss(nn.Module):
    method __init__ (line 53) | def __init__(self, scale=48, margin=0.35, **kwargs):
    method forward (line 58) | def forward(self, inputs, targets):

FILE: losses/clothes_based_adversarial_loss.py
  class ClothesBasedAdversarialLoss (line 7) | class ClothesBasedAdversarialLoss(nn.Module):
    method __init__ (line 17) | def __init__(self, scale=16, epsilon=0.1):
    method forward (line 22) | def forward(self, inputs, targets, positive_mask):
  class ClothesBasedAdversarialLossWithMemoryBank (line 46) | class ClothesBasedAdversarialLossWithMemoryBank(nn.Module):
    method __init__ (line 59) | def __init__(self, num_clothes, feat_dim, momentum=0., scale=16, epsil...
    method forward (line 71) | def forward(self, inputs, targets, positive_mask):
    method _update_memory (line 109) | def _update_memory(self, features, labels):

FILE: losses/contrastive_loss.py
  class ContrastiveLoss (line 8) | class ContrastiveLoss(nn.Module):
    method __init__ (line 14) | def __init__(self, scale=16, **kwargs):
    method forward (line 18) | def forward(self, inputs, targets):

FILE: losses/cosface_loss.py
  class CosFaceLoss (line 8) | class CosFaceLoss(nn.Module):
    method __init__ (line 18) | def __init__(self, scale=16, margin=0.1, **kwargs):
    method forward (line 23) | def forward(self, inputs, targets):
  class PairwiseCosFaceLoss (line 37) | class PairwiseCosFaceLoss(nn.Module):
    method __init__ (line 47) | def __init__(self, scale=16, margin=0):
    method forward (line 52) | def forward(self, inputs, targets):

FILE: losses/cross_entropy_loss_with_label_smooth.py
  class CrossEntropyWithLabelSmooth (line 5) | class CrossEntropyWithLabelSmooth(nn.Module):
    method __init__ (line 16) | def __init__(self, epsilon=0.1):
    method forward (line 21) | def forward(self, inputs, targets):

FILE: losses/gather.py
  class GatherLayer (line 5) | class GatherLayer(torch.autograd.Function):
    method forward (line 9) | def forward(ctx, input):
    method backward (line 17) | def backward(ctx, *grads):

FILE: losses/triplet_loss.py
  class TripletLoss (line 8) | class TripletLoss(nn.Module):
    method __init__ (line 19) | def __init__(self, margin=0.3):
    method forward (line 24) | def forward(self, inputs, targets):

FILE: main.py
  function parse_option (line 30) | def parse_option():
  function main (line 53) | def main(config):

FILE: models/__init__.py
  function build_model (line 17) | def build_model(config, num_identities, num_clothes):

FILE: models/classifier.py
  class Classifier (line 11) | class Classifier(nn.Module):
    method __init__ (line 12) | def __init__(self, feature_dim, num_classes):
    method forward (line 18) | def forward(self, x):
  class NormalizedClassifier (line 24) | class NormalizedClassifier(nn.Module):
    method __init__ (line 25) | def __init__(self, feature_dim, num_classes):
    method forward (line 30) | def forward(self, x):

FILE: models/img_resnet.py
  class ResNet50 (line 7) | class ResNet50(nn.Module):
    method __init__ (line 8) | def __init__(self, config, **kwargs):
    method forward (line 32) | def forward(self, x):

FILE: models/utils/c3d_blocks.py
  class APM (line 6) | class APM(nn.Module):
    method __init__ (line 7) | def __init__(self, in_channels, out_channels, time_dim=3, temperature=...
    method forward (line 27) | def forward(self, x):
  class C2D (line 64) | class C2D(nn.Module):
    method __init__ (line 65) | def __init__(self, conv2d, **kwargs):
    method forward (line 84) | def forward(self, x):
  class I3D (line 90) | class I3D(nn.Module):
    method __init__ (line 91) | def __init__(self, conv2d, time_dim=3, time_stride=1, **kwargs):
    method forward (line 111) | def forward(self, x):
  class API3D (line 117) | class API3D(nn.Module):
    method __init__ (line 118) | def __init__(self, conv2d, time_dim=3, time_stride=1, temperature=4, c...
    method forward (line 141) | def forward(self, x):
  class P3DA (line 148) | class P3DA(nn.Module):
    method __init__ (line 149) | def __init__(self, conv2d, time_dim=3, time_stride=1, **kwargs):
    method forward (line 186) | def forward(self, x):
  class P3DB (line 193) | class P3DB(nn.Module):
    method __init__ (line 194) | def __init__(self, conv2d, time_dim=3, time_stride=1, **kwargs):
    method forward (line 226) | def forward(self, x):
  class P3DC (line 237) | class P3DC(nn.Module):
    method __init__ (line 238) | def __init__(self, conv2d, time_dim=3, time_stride=1, **kwargs):
    method forward (line 270) | def forward(self, x):
  class APP3DA (line 278) | class APP3DA(nn.Module):
    method __init__ (line 279) | def __init__(self, conv2d, time_dim=3, time_stride=1, temperature=4, c...
    method forward (line 319) | def forward(self, x):
  class APP3DB (line 326) | class APP3DB(nn.Module):
    method __init__ (line 327) | def __init__(self, conv2d, time_dim=3, time_stride=1, temperature=4, c...
    method forward (line 362) | def forward(self, x):
  class APP3DC (line 370) | class APP3DC(nn.Module):
    method __init__ (line 371) | def __init__(self, conv2d, time_dim=3, time_stride=1, temperature=4, c...
    method forward (line 406) | def forward(self, x):

FILE: models/utils/inflate.py
  function inflate_conv (line 7) | def inflate_conv(conv2d,
  function inflate_linear (line 43) | def inflate_linear(linear2d, time_dim):
  function inflate_batch_norm (line 58) | def inflate_batch_norm(batch2d):
  function inflate_pool (line 69) | def inflate_pool(pool2d,
  class MaxPool2dFor3dInput (line 95) | class MaxPool2dFor3dInput(nn.Module):
    method __init__ (line 100) | def __init__(self, kernel_size, stride=None, padding=0, dilation=1):
    method forward (line 103) | def forward(self, x):

FILE: models/utils/nonlocal_blocks.py
  class NonLocalBlockND (line 8) | class NonLocalBlockND(nn.Module):
    method __init__ (line 9) | def __init__(self, in_channels, inter_channels=None, dimension=3, sub_...
    method forward (line 82) | def forward(self, x):
  class NonLocalBlock1D (line 107) | class NonLocalBlock1D(NonLocalBlockND):
    method __init__ (line 108) | def __init__(self, in_channels, inter_channels=None, sub_sample=True, ...
  class NonLocalBlock2D (line 115) | class NonLocalBlock2D(NonLocalBlockND):
    method __init__ (line 116) | def __init__(self, in_channels, inter_channels=None, sub_sample=True, ...
  class NonLocalBlock3D (line 123) | class NonLocalBlock3D(NonLocalBlockND):
    method __init__ (line 124) | def __init__(self, in_channels, inter_channels=None, sub_sample=True, ...

FILE: models/utils/pooling.py
  class GeMPooling (line 6) | class GeMPooling(nn.Module):
    method __init__ (line 7) | def __init__(self, p=3, eps=1e-6):
    method forward (line 12) | def forward(self, x):
  class MaxAvgPooling (line 16) | class MaxAvgPooling(nn.Module):
    method __init__ (line 17) | def __init__(self):
    method forward (line 22) | def forward(self, x):

FILE: models/vid_resnet.py
  class Bottleneck3D (line 15) | class Bottleneck3D(nn.Module):
    method __init__ (line 16) | def __init__(self, bottleneck2d, block, inflate_time=False, temperatur...
    method _inflate_downsample (line 34) | def _inflate_downsample(self, downsample2d, time_stride=1):
    method forward (line 41) | def forward(self, x):
  class ResNet503D (line 63) | class ResNet503D(nn.Module):
    method __init__ (line 64) | def __init__(self, config, block, c3d_idx, nl_idx, **kwargs):
    method _inflate_reslayer (line 97) | def _inflate_reslayer(self, reslayer2d, c3d_idx, nonlocal_idx=[], nonl...
    method forward (line 113) | def forward(self, x):
  function C2DResNet50 (line 137) | def C2DResNet50(config, **kwargs):
  function AP3DResNet50 (line 144) | def AP3DResNet50(config, **kwargs):
  function I3DResNet50 (line 151) | def I3DResNet50(config, **kwargs):
  function AP3DNLResNet50 (line 158) | def AP3DNLResNet50(config, **kwargs):
  function NLResNet50 (line 165) | def NLResNet50(config, **kwargs):

FILE: test.py
  function concat_all_gather (line 14) | def concat_all_gather(tensors, num_total_examples):
  function extract_img_feature (line 30) | def extract_img_feature(model, dataloader):
  function extract_vid_feature (line 50) | def extract_vid_feature(model, dataloader, vid2clip_index, data_length):
  function test (line 86) | def test(config, model, queryloader, galleryloader, dataset):
  function test_prcc (line 152) | def test_prcc(model, queryloader_same, queryloader_diff, galleryloader, ...

FILE: tools/eval_metrics.py
  function compute_ap_cmc (line 5) | def compute_ap_cmc(index, good_index, junk_index):
  function evaluate (line 30) | def evaluate(distmat, q_pids, g_pids, q_camids, g_camids):
  function evaluate_with_clothes (line 75) | def evaluate_with_clothes(distmat, q_pids, g_pids, q_camids, g_camids, q...

FILE: tools/utils.py
  function set_seed (line 13) | def set_seed(seed=None):
  function mkdir_if_missing (line 26) | def mkdir_if_missing(directory):
  function read_json (line 35) | def read_json(fpath):
  function write_json (line 41) | def write_json(obj, fpath):
  class AverageMeter (line 47) | class AverageMeter(object):
    method __init__ (line 52) | def __init__(self):
    method reset (line 55) | def reset(self):
    method update (line 61) | def update(self, val, n=1):
  function save_checkpoint (line 68) | def save_checkpoint(state, is_best, fpath='checkpoint.pth.tar'):
  function get_logger (line 114) | def get_logger(fpath, local_rank=0, name=''):

FILE: train.py
  function train_cal (line 9) | def train_cal(config, epoch, model, classifier, clothes_classifier, crit...
  function train_cal_with_memory (line 95) | def train_cal_with_memory(config, epoch, model, classifier, criterion_cl...