SYMBOL INDEX (362 symbols across 30 files)

FILE: app.py
  function plot_results (line 32) | def plot_results(support_img, query_img, support_kp, support_w, query_kp,
  function process (line 76) | def process(query_img, state,
  function update_examples (line 174) | def update_examples(support_img, posed_support, query_img, state, r=0.01...
  function get_select_coords (line 201) | def get_select_coords(kp_support,
  function get_limbs (line 232) | def get_limbs(kp_support,
  function set_query (line 279) | def set_query(support_img, state, example=False):

FILE: demo.py
  class Resize_Pad (line 26) | class Resize_Pad:
    method __init__ (line 27) | def __init__(self, w=256, h=256):
    method __call__ (line 31) | def __call__(self, image):
  function transform_keypoints_to_pad_and_resize (line 51) | def transform_keypoints_to_pad_and_resize(keypoints, image_size):
  function parse_args (line 70) | def parse_args():
  function merge_configs (line 95) | def merge_configs(cfg1, cfg2):
  function main (line 106) | def main():

FILE: models/apis/train.py
  function train_model (line 13) | def train_model(model,

FILE: models/core/custom_hooks/shuffle_hooks.py
  class ShufflePairedSamplesHook (line 6) | class ShufflePairedSamplesHook(Hook):
    method __init__ (line 11) | def __init__(self,
    method after_train_epoch (line 22) | def after_train_epoch(self, runner):

FILE: models/datasets/builder.py
  function _concat_cfg (line 7) | def _concat_cfg(cfg):
  function _check_vaild (line 26) | def _check_vaild(cfg):
  function build_dataset (line 34) | def build_dataset(cfg, default_args=None):

FILE: models/datasets/datasets/mp100/fewshot_base_dataset.py
  class FewShotBaseDataset (line 14) | class FewShotBaseDataset(Dataset, metaclass=ABCMeta):
    method __init__ (line 16) | def __init__(self,
    method _get_db (line 48) | def _get_db(self):
    method _select_kpt (line 53) | def _select_kpt(self, obj, kpt_id):
    method evaluate (line 58) | def evaluate(self, cfg, preds, output_dir, *args, **kwargs):
    method _write_keypoint_results (line 63) | def _write_keypoint_results(keypoints, res_file):
    method _report_metric (line 69) | def _report_metric(self,
    method _merge_obj (line 130) | def _merge_obj(self, Xs_list, Xq, idx):
    method __len__ (line 159) | def __len__(self):
    method __getitem__ (line 163) | def __getitem__(self, idx):
    method _sort_and_unique_bboxes (line 216) | def _sort_and_unique_bboxes(self, kpts, key='bbox_id'):

FILE: models/datasets/datasets/mp100/fewshot_dataset.py
  class FewShotKeypointDataset (line 13) | class FewShotKeypointDataset(FewShotBaseDataset):
    method __init__ (line 15) | def __init__(self,
    method random_paired_samples (line 70) | def random_paired_samples(self):
    method make_paired_samples (line 85) | def make_paired_samples(self):
    method _select_kpt (line 100) | def _select_kpt(self, obj, kpt_id):
    method _get_mapping_id_name (line 108) | def _get_mapping_id_name(imgs):
    method _get_db (line 128) | def _get_db(self):
    method _load_coco_keypoint_annotation_kernel (line 141) | def _load_coco_keypoint_annotation_kernel(self, img_id):
    method _xywh2cs (line 219) | def _xywh2cs(self, x, y, w, h):
    method evaluate (line 249) | def evaluate(self, outputs, res_folder, metric='PCK', **kwargs):

FILE: models/datasets/datasets/mp100/test_base_dataset.py
  class TestBaseDataset (line 15) | class TestBaseDataset(Dataset, metaclass=ABCMeta):
    method __init__ (line 17) | def __init__(self,
    method _get_db (line 51) | def _get_db(self):
    method _select_kpt (line 56) | def _select_kpt(self, obj, kpt_id):
    method evaluate (line 61) | def evaluate(self, cfg, preds, output_dir, *args, **kwargs):
    method _write_keypoint_results (line 66) | def _write_keypoint_results(keypoints, res_file):
    method _report_metric (line 72) | def _report_metric(self,
    method _merge_obj (line 161) | def _merge_obj(self, Xs_list, Xq, idx):
    method __len__ (line 190) | def __len__(self):
    method __getitem__ (line 194) | def __getitem__(self, idx):
    method _sort_and_unique_bboxes (line 222) | def _sort_and_unique_bboxes(self, kpts, key='bbox_id'):

FILE: models/datasets/datasets/mp100/test_dataset.py
  class TestPoseDataset (line 13) | class TestPoseDataset(TestBaseDataset):
    method __init__ (line 15) | def __init__(self,
    method random_paired_samples (line 73) | def random_paired_samples(self):
    method make_paired_samples (line 88) | def make_paired_samples(self):
    method _select_kpt (line 103) | def _select_kpt(self, obj, kpt_id):
    method _get_mapping_id_name (line 111) | def _get_mapping_id_name(imgs):
    method _get_db (line 131) | def _get_db(self):
    method _load_coco_keypoint_annotation_kernel (line 144) | def _load_coco_keypoint_annotation_kernel(self, img_id):
    method _xywh2cs (line 226) | def _xywh2cs(self, x, y, w, h):
    method evaluate (line 256) | def evaluate(self, outputs, res_folder, metric='PCK', **kwargs):

FILE: models/datasets/datasets/mp100/transformer_base_dataset.py
  class TransformerBaseDataset (line 14) | class TransformerBaseDataset(Dataset, metaclass=ABCMeta):
    method __init__ (line 16) | def __init__(self,
    method _get_db (line 48) | def _get_db(self):
    method _select_kpt (line 53) | def _select_kpt(self, obj, kpt_id):
    method evaluate (line 58) | def evaluate(self, cfg, preds, output_dir, *args, **kwargs):
    method _write_keypoint_results (line 63) | def _write_keypoint_results(keypoints, res_file):
    method _report_metric (line 69) | def _report_metric(self,
    method _merge_obj (line 130) | def _merge_obj(self, Xs_list, Xq, idx):
    method __len__ (line 159) | def __len__(self):
    method __getitem__ (line 163) | def __getitem__(self, idx):
    method _sort_and_unique_bboxes (line 190) | def _sort_and_unique_bboxes(self, kpts, key='bbox_id'):

FILE: models/datasets/datasets/mp100/transformer_dataset.py
  class TransformerPoseDataset (line 13) | class TransformerPoseDataset(TransformerBaseDataset):
    method __init__ (line 15) | def __init__(self,
    method random_paired_samples (line 72) | def random_paired_samples(self):
    method make_paired_samples (line 87) | def make_paired_samples(self):
    method _select_kpt (line 102) | def _select_kpt(self, obj, kpt_id):
    method _get_mapping_id_name (line 110) | def _get_mapping_id_name(imgs):
    method _get_db (line 130) | def _get_db(self):
    method _load_coco_keypoint_annotation_kernel (line 144) | def _load_coco_keypoint_annotation_kernel(self, img_id):
    method _xywh2cs (line 226) | def _xywh2cs(self, x, y, w, h):
    method evaluate (line 256) | def evaluate(self, outputs, res_folder, metric='PCK', **kwargs):

FILE: models/datasets/pipelines/post_transforms.py
  function get_affine_transform (line 10) | def get_affine_transform(center,
  function affine_transform (line 67) | def affine_transform(pt, trans_mat):
  function _get_3rd_point (line 83) | def _get_3rd_point(a, b):
  function rotate_point (line 105) | def rotate_point(pt, angle_rad):

FILE: models/datasets/pipelines/top_down_transform.py
  class TopDownAffineFewShot (line 12) | class TopDownAffineFewShot:
    method __init__ (line 25) | def __init__(self, use_udp=False):
    method __call__ (line 28) | def __call__(self, results):
  class TopDownGenerateTargetFewShot (line 65) | class TopDownGenerateTargetFewShot:
    method __init__ (line 93) | def __init__(self,
    method _msra_generate_target (line 107) | def _msra_generate_target(self, cfg, joints_3d, joints_3d_visible, sig...
    method _udp_generate_target (line 195) | def _udp_generate_target(self, cfg, joints_3d, joints_3d_visible, factor,
    method __call__ (line 316) | def __call__(self, results):

FILE: models/models/backbones/simmim.py
  function norm_targets (line 17) | def norm_targets(targets, patch_size):
  class SwinTransformerForSimMIM (line 40) | class SwinTransformerForSimMIM(SwinTransformer):
    method __init__ (line 41) | def __init__(self, **kwargs):
    method forward (line 49) | def forward(self, x, mask):
    method no_weight_decay (line 74) | def no_weight_decay(self):
  class SwinTransformerV2ForSimMIM (line 78) | class SwinTransformerV2ForSimMIM(SwinTransformerV2):
    method __init__ (line 79) | def __init__(self, **kwargs):
    method forward (line 87) | def forward(self, x, mask):
    method no_weight_decay (line 112) | def no_weight_decay(self):
  class SimMIM (line 116) | class SimMIM(nn.Module):
    method __init__ (line 117) | def __init__(self, config, encoder, encoder_stride, in_chans, patch_si...
    method forward (line 133) | def forward(self, x, mask):
    method no_weight_decay (line 149) | def no_weight_decay(self):
    method no_weight_decay_keywords (line 155) | def no_weight_decay_keywords(self):
  function build_simmim (line 161) | def build_simmim(config):

FILE: models/models/backbones/swin_mlp.py
  class Mlp (line 15) | class Mlp(nn.Module):
    method __init__ (line 16) | def __init__(self, in_features, hidden_features=None, out_features=Non...
    method forward (line 25) | def forward(self, x):
  function window_partition (line 34) | def window_partition(x, window_size):
  function window_reverse (line 49) | def window_reverse(windows, window_size, H, W):
  class SwinMLPBlock (line 66) | class SwinMLPBlock(nn.Module):
    method __init__ (line 82) | def __init__(self, dim, input_resolution, num_heads, window_size=7, sh...
    method forward (line 113) | def forward(self, x):
    method extra_repr (line 162) | def extra_repr(self) -> str:
    method flops (line 166) | def flops(self):
  class PatchMerging (line 185) | class PatchMerging(nn.Module):
    method __init__ (line 194) | def __init__(self, input_resolution, dim, norm_layer=nn.LayerNorm):
    method forward (line 201) | def forward(self, x):
    method extra_repr (line 224) | def extra_repr(self) -> str:
    method flops (line 227) | def flops(self):
  class BasicLayer (line 234) | class BasicLayer(nn.Module):
    method __init__ (line 251) | def __init__(self, dim, input_resolution, depth, num_heads, window_size,
    method forward (line 278) | def forward(self, x):
    method extra_repr (line 288) | def extra_repr(self) -> str:
    method flops (line 291) | def flops(self):
  class PatchEmbed (line 300) | class PatchEmbed(nn.Module):
    method __init__ (line 311) | def __init__(self, img_size=224, patch_size=4, in_chans=3, embed_dim=9...
    method forward (line 330) | def forward(self, x):
    method flops (line 340) | def flops(self):
  class SwinMLP (line 348) | class SwinMLP(nn.Module):
    method __init__ (line 369) | def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes...
    method _init_weights (line 425) | def _init_weights(self, m):
    method no_weight_decay (line 435) | def no_weight_decay(self):
    method no_weight_decay_keywords (line 439) | def no_weight_decay_keywords(self):
    method forward_features (line 442) | def forward_features(self, x):
    method forward (line 456) | def forward(self, x):
    method flops (line 461) | def flops(self):

FILE: models/models/backbones/swin_transformer.py
  class Mlp (line 26) | class Mlp(nn.Module):
    method __init__ (line 27) | def __init__(self, in_features, hidden_features=None, out_features=Non...
    method forward (line 36) | def forward(self, x):
  function window_partition (line 45) | def window_partition(x, window_size):
  function window_reverse (line 60) | def window_reverse(windows, window_size, H, W):
  class WindowAttention (line 77) | class WindowAttention(nn.Module):
    method __init__ (line 91) | def __init__(self, dim, window_size, num_heads, qkv_bias=True, qk_scal...
    method forward (line 125) | def forward(self, x, mask=None):
    method extra_repr (line 158) | def extra_repr(self) -> str:
    method flops (line 161) | def flops(self, N):
  class SwinTransformerBlock (line 175) | class SwinTransformerBlock(nn.Module):
    method __init__ (line 195) | def __init__(self, dim, input_resolution, num_heads, window_size=7, sh...
    method forward (line 248) | def forward(self, x):
    method extra_repr (line 296) | def extra_repr(self) -> str:
    method flops (line 300) | def flops(self):
  class PatchMerging (line 315) | class PatchMerging(nn.Module):
    method __init__ (line 324) | def __init__(self, input_resolution, dim, norm_layer=nn.LayerNorm):
    method forward (line 331) | def forward(self, x):
    method extra_repr (line 354) | def extra_repr(self) -> str:
    method flops (line 357) | def flops(self):
  class BasicLayer (line 364) | class BasicLayer(nn.Module):
    method __init__ (line 385) | def __init__(self, dim, input_resolution, depth, num_heads, window_size,
    method forward (line 415) | def forward(self, x):
    method extra_repr (line 425) | def extra_repr(self) -> str:
    method flops (line 428) | def flops(self):
  class PatchEmbed (line 437) | class PatchEmbed(nn.Module):
    method __init__ (line 448) | def __init__(self, img_size=224, patch_size=4, in_chans=3, embed_dim=9...
    method forward (line 467) | def forward(self, x):
    method flops (line 477) | def flops(self):
  class SwinTransformer (line 485) | class SwinTransformer(nn.Module):
    method __init__ (line 512) | def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes...
    method _init_weights (line 571) | def _init_weights(self, m):
    method no_weight_decay (line 581) | def no_weight_decay(self):
    method no_weight_decay_keywords (line 585) | def no_weight_decay_keywords(self):
    method forward_features (line 588) | def forward_features(self, x):
    method forward (line 602) | def forward(self, x):
    method flops (line 607) | def flops(self):

FILE: models/models/backbones/swin_transformer_moe.py
  class Mlp (line 23) | class Mlp(nn.Module):
    method __init__ (line 24) | def __init__(self, in_features, hidden_features=None, out_features=Non...
    method forward (line 34) | def forward(self, x):
  class MoEMlp (line 43) | class MoEMlp(nn.Module):
    method __init__ (line 44) | def __init__(self, in_features, hidden_features, num_local_experts, to...
    method forward (line 86) | def forward(self, x):
    method extra_repr (line 90) | def extra_repr(self) -> str:
    method _init_weights (line 96) | def _init_weights(self):
  function window_partition (line 104) | def window_partition(x, window_size):
  function window_reverse (line 119) | def window_reverse(windows, window_size, H, W):
  class WindowAttention (line 136) | class WindowAttention(nn.Module):
    method __init__ (line 151) | def __init__(self, dim, window_size, num_heads, qkv_bias=True, qk_scal...
    method forward (line 205) | def forward(self, x, mask=None):
    method extra_repr (line 239) | def extra_repr(self) -> str:
    method flops (line 243) | def flops(self, N):
  class SwinTransformerBlock (line 257) | class SwinTransformerBlock(nn.Module):
    method __init__ (line 292) | def __init__(self, dim, input_resolution, num_heads, window_size=7, sh...
    method forward (line 369) | def forward(self, x):
    method extra_repr (line 414) | def extra_repr(self) -> str:
    method flops (line 418) | def flops(self):
  class PatchMerging (line 436) | class PatchMerging(nn.Module):
    method __init__ (line 445) | def __init__(self, input_resolution, dim, norm_layer=nn.LayerNorm):
    method forward (line 452) | def forward(self, x):
    method extra_repr (line 475) | def extra_repr(self) -> str:
    method flops (line 478) | def flops(self):
  class BasicLayer (line 485) | class BasicLayer(nn.Module):
    method __init__ (line 521) | def __init__(self, dim, input_resolution, depth, num_heads, window_size,
    method forward (line 569) | def forward(self, x):
    method extra_repr (line 587) | def extra_repr(self) -> str:
    method flops (line 590) | def flops(self):
  class PatchEmbed (line 599) | class PatchEmbed(nn.Module):
    method __init__ (line 610) | def __init__(self, img_size=224, patch_size=4, in_chans=3, embed_dim=9...
    method forward (line 629) | def forward(self, x):
    method flops (line 639) | def flops(self):
  class SwinTransformerMoE (line 647) | class SwinTransformerMoE(nn.Module):
    method __init__ (line 690) | def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes...
    method _init_weights (line 774) | def _init_weights(self, m):
    method no_weight_decay (line 786) | def no_weight_decay(self):
    method no_weight_decay_keywords (line 790) | def no_weight_decay_keywords(self):
    method forward_features (line 794) | def forward_features(self, x):
    method forward (line 809) | def forward(self, x):
    method add_param_to_skip_allreduce (line 814) | def add_param_to_skip_allreduce(self, param_name):
    method flops (line 817) | def flops(self):

FILE: models/models/backbones/swin_transformer_v2.py
  class Mlp (line 17) | class Mlp(nn.Module):
    method __init__ (line 18) | def __init__(self, in_features, hidden_features=None, out_features=Non...
    method forward (line 27) | def forward(self, x):
  function window_partition (line 36) | def window_partition(x, window_size):
  function window_reverse (line 51) | def window_reverse(windows, window_size, H, W):
  class WindowAttention (line 68) | class WindowAttention(nn.Module):
    method __init__ (line 82) | def __init__(self, dim, window_size, num_heads, qkv_bias=True, attn_dr...
    method forward (line 141) | def forward(self, x, mask=None):
    method extra_repr (line 182) | def extra_repr(self) -> str:
    method flops (line 186) | def flops(self, N):
  class SwinTransformerBlock (line 200) | class SwinTransformerBlock(nn.Module):
    method __init__ (line 219) | def __init__(self, dim, input_resolution, num_heads, window_size=7, sh...
    method forward (line 271) | def forward(self, x):
    method extra_repr (line 309) | def extra_repr(self) -> str:
    method flops (line 313) | def flops(self):
  class PatchMerging (line 328) | class PatchMerging(nn.Module):
    method __init__ (line 337) | def __init__(self, input_resolution, dim, norm_layer=nn.LayerNorm):
    method forward (line 344) | def forward(self, x):
    method extra_repr (line 367) | def extra_repr(self) -> str:
    method flops (line 370) | def flops(self):
  class BasicLayer (line 377) | class BasicLayer(nn.Module):
    method __init__ (line 397) | def __init__(self, dim, input_resolution, depth, num_heads, window_size,
    method forward (line 427) | def forward(self, x):
    method extra_repr (line 437) | def extra_repr(self) -> str:
    method flops (line 440) | def flops(self):
    method _init_respostnorm (line 448) | def _init_respostnorm(self):
  class PatchEmbed (line 456) | class PatchEmbed(nn.Module):
    method __init__ (line 467) | def __init__(self, img_size=224, patch_size=4, in_chans=3, embed_dim=9...
    method forward (line 486) | def forward(self, x):
    method flops (line 496) | def flops(self):
  class SwinTransformerV2 (line 505) | class SwinTransformerV2(nn.Module):
    method __init__ (line 531) | def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes...
    method _init_weights (line 620) | def _init_weights(self, m):
    method no_weight_decay (line 630) | def no_weight_decay(self):
    method no_weight_decay_keywords (line 634) | def no_weight_decay_keywords(self):
    method forward_features (line 637) | def forward_features(self, x):
    method forward (line 668) | def forward(self, x):
    method flops (line 673) | def flops(self):

FILE: models/models/backbones/swin_utils.py
  function load_pretrained (line 14) | def load_pretrained(config, model, logger):
  function remap_pretrained_keys_swin (line 33) | def remap_pretrained_keys_swin(model, checkpoint_model, logger):

FILE: models/models/detectors/pam.py
  class PoseAnythingModel (line 11) | class PoseAnythingModel(BasePose):
    method __init__ (line 21) | def __init__(self,
    method init_backbone (line 36) | def init_backbone(self, pretrained, encoder_config):
    method with_keypoint (line 61) | def with_keypoint(self):
    method init_weights (line 65) | def init_weights(self, pretrained=None):
    method forward (line 71) | def forward(self,
    method forward_dummy (line 92) | def forward_dummy(self, img_s, target_s, target_weight_s, img_q, targe...
    method forward_train (line 97) | def forward_train(self,
    method forward_test (line 133) | def forward_test(self,
    method predict (line 162) | def predict(self,
    method extract_features (line 183) | def extract_features(self, img_s, img_q):
    method parse_keypoints_from_img_meta (line 203) | def parse_keypoints_from_img_meta(self, img_meta, device, keyword='que...
    method show_result (line 233) | def show_result(self,

FILE: models/models/keypoint_heads/head.py
  function inverse_sigmoid (line 17) | def inverse_sigmoid(x, eps=1e-3):
  class TokenDecodeMLP (line 24) | class TokenDecodeMLP(nn.Module):
    method __init__ (line 29) | def __init__(self,
    method forward (line 46) | def forward(self, x):
  class PoseHead (line 51) | class PoseHead(nn.Module):
    method __init__ (line 57) | def __init__(self,
    method init_weights (line 115) | def init_weights(self):
    method forward (line 132) | def forward(self, x, feature_s, target_s, mask_s, skeleton):
    method get_loss (line 202) | def get_loss(self, output, initial_proposals, similarity_map, target, ...
    method get_max_coords (line 244) | def get_max_coords(self, heatmap, heatmap_size=64):
    method heatmap_loss (line 252) | def heatmap_loss(self, similarity_map, target_heatmap, target_weight,
    method get_accuracy (line 277) | def get_accuracy(self, output, target, target_weight, target_sizes, he...
    method decode (line 305) | def decode(self, img_metas, output, img_size, **kwargs):

FILE: models/models/utils/builder.py
  function build_backbone (line 10) | def build_backbone(cfg, default_args=None):
  function build_transformer (line 15) | def build_transformer(cfg, default_args=None):
  function build_linear_layer (line 23) | def build_linear_layer(cfg, *args, **kwargs):

FILE: models/models/utils/encoder_decoder.py
  function inverse_sigmoid (line 13) | def inverse_sigmoid(x, eps=1e-3):
  class MLP (line 20) | class MLP(nn.Module):
    method __init__ (line 23) | def __init__(self, input_dim, hidden_dim, output_dim, num_layers):
    method forward (line 30) | def forward(self, x):
  class ProposalGenerator (line 36) | class ProposalGenerator(nn.Module):
    method __init__ (line 38) | def __init__(self, hidden_dim, proj_dim, dynamic_proj_dim):
    method forward (line 48) | def forward(self, query_feat, support_feat, spatial_shape):
  class EncoderDecoder (line 114) | class EncoderDecoder(nn.Module):
    method __init__ (line 116) | def __init__(self,
    method init_weights (line 153) | def init_weights(self):
    method forward (line 159) | def forward(self, src, mask, support_embed, pos_embed, support_order_e...
  class GraphTransformerDecoder (line 199) | class GraphTransformerDecoder(nn.Module):
    method __init__ (line 201) | def __init__(self,
    method forward (line 218) | def forward(self,
    method update (line 302) | def update(self, query_coordinates, delta_unsig):
  class GraphTransformerDecoderLayer (line 309) | class GraphTransformerDecoderLayer(nn.Module):
    method __init__ (line 311) | def __init__(self,
    method with_pos_embed (line 351) | def with_pos_embed(self, tensor, pos: Optional[Tensor]):
    method forward (line 354) | def forward(self,
  class TransformerEncoder (line 409) | class TransformerEncoder(nn.Module):
    method __init__ (line 411) | def __init__(self, encoder_layer, num_layers, norm=None):
    method forward (line 417) | def forward(self,
  class TransformerEncoderLayer (line 457) | class TransformerEncoderLayer(nn.Module):
    method __init__ (line 459) | def __init__(self,
    method with_pos_embed (line 481) | def with_pos_embed(self, tensor, pos: Optional[Tensor]):
    method forward (line 484) | def forward(self,
  function adj_from_skeleton (line 507) | def adj_from_skeleton(num_pts, skeleton, mask, device='cuda'):
  class GCNLayer (line 524) | class GCNLayer(nn.Module):
    method __init__ (line 525) | def __init__(self,
    method forward (line 539) | def forward(self, x, adj):
  function _get_clones (line 558) | def _get_clones(module, N):
  function _get_activation_fn (line 562) | def _get_activation_fn(activation):
  function clones (line 573) | def clones(module, N):

FILE: models/models/utils/positional_encoding.py
  class SinePositionalEncoding (line 13) | class SinePositionalEncoding(BaseModule):
    method __init__ (line 38) | def __init__(self,
    method forward (line 58) | def forward(self, mask):
    method forward_coordinates (line 97) | def forward_coordinates(self, coord):
    method __repr__ (line 125) | def __repr__(self):
  class LearnedPositionalEncoding (line 137) | class LearnedPositionalEncoding(BaseModule):
    method __init__ (line 151) | def __init__(self,
    method forward (line 163) | def forward(self, mask):
    method __repr__ (line 187) | def __repr__(self):

FILE: models/models/utils/transformer.py
  class Transformer (line 14) | class Transformer(BaseModule):
    method __init__ (line 32) | def __init__(self, encoder=None, decoder=None, init_cfg=None):
    method init_weights (line 38) | def init_weights(self):
    method forward (line 45) | def forward(self, x, mask, query_embed, pos_embed, mask_query):
  class DetrTransformerDecoderLayer (line 106) | class DetrTransformerDecoderLayer(BaseTransformerLayer):
    method __init__ (line 127) | def __init__(self,
  class DetrTransformerEncoder (line 151) | class DetrTransformerEncoder(TransformerLayerSequence):
    method __init__ (line 158) | def __init__(self, *args, post_norm_cfg=dict(type='LN'), **kwargs):
    method forward (line 169) | def forward(self, *args, **kwargs):
  class DetrTransformerDecoder (line 181) | class DetrTransformerDecoder(TransformerLayerSequence):
    method __init__ (line 189) | def __init__(self,
    method forward (line 203) | def forward(self, query, *args, **kwargs):
  class DynamicConv (line 231) | class DynamicConv(BaseModule):
    method __init__ (line 256) | def __init__(self,
    method forward (line 290) | def forward(self, param_feature, input_feature):

FILE: setup.py
  function readme (line 7) | def readme():
  function get_git_hash (line 16) | def get_git_hash():
  function get_hash (line 42) | def get_hash():
  function write_version_py (line 57) | def write_version_py():
  function get_version (line 76) | def get_version():
  function get_requirements (line 82) | def get_requirements(filename='requirements.txt'):

FILE: test.py
  function parse_args (line 23) | def parse_args():
  function merge_configs (line 67) | def merge_configs(cfg1, cfg2):
  function main (line 78) | def main():

FILE: tools/fix_carfuxion.py
  function search_match (line 9) | def search_match(bbox, num_keypoints, segmentation):

FILE: tools/visualization.py
  function plot_results (line 16) | def plot_results(support_img, query_img, support_kp, support_w, query_kp...
  function str_is_int (line 62) | def str_is_int(s):

FILE: train.py
  function parse_args (line 22) | def parse_args():
  function main (line 80) | def main():