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Functions1,314 in github.com/MVIG-SJTU/AlphaPose

Method__init__
( self, dep_mul, wid_mul, out_features=("dark3", "dark4", "dark5"), de
detector/yolox/yolox/models/darknet.py:98
Method__init__
( self, in_channels, out_channels, ksize, stride, groups=1, bias=False, act="silu" )
detector/yolox/yolox/models/network_blocks.py:32
Method__init__
(self, in_channels, out_channels, ksize, stride=1, act="silu")
detector/yolox/yolox/models/network_blocks.py:60
Method__init__
( self, in_channels, out_channels, shortcut=True, expansion=0.5,
detector/yolox/yolox/models/network_blocks.py:81
Method__init__
(self, in_channels: int)
detector/yolox/yolox/models/network_blocks.py:107
Method__init__
( self, in_channels, out_channels, kernel_sizes=(5, 9, 13), activation="silu" )
detector/yolox/yolox/models/network_blocks.py:125
Method__init__
Args: in_channels (int): input channels. out_channels (int): output channels. n (int): number of Bottlene
detector/yolox/yolox/models/network_blocks.py:150
Method__init__
Args: act (str): activation type of conv. Defalut value: "silu". depthwise (bool): whether apply depthwise conv in co
detector/yolox/yolox/models/yolo_head.py:20
Method__init__
(self, reduction="none", loss_type="iou")
detector/yolox/yolox/models/losses.py:10
Method__init__
(self, backbone=None, head=None)
detector/yolox/yolox/models/yolox.py:18
Method__init__
( self, depth=1.0, width=1.0, in_features=("dark3", "dark4", "dark5"),
detector/yolox/yolox/models/yolo_pafpn.py:17
Method__init__
(self)
detector/yolox/exps/example/yolox_voc/yolox_voc_s.py:12
Method__init__
(self)
detector/yolox/exps/example/custom/yolox_s.py:10
Method__init__
(self)
detector/yolox/exps/example/custom/nano.py:13
Method__init__
(self)
detector/yolox/exps/default/yolox_l.py:11
Method__init__
(self)
detector/yolox/exps/default/yolox_tiny.py:11
Method__init__
(self)
detector/yolox/exps/default/yolov3.py:13
Method__init__
(self)
detector/yolox/exps/default/yolox_m.py:11
Method__init__
(self)
detector/yolox/exps/default/yolox_s.py:11
Method__init__
(self)
detector/yolox/exps/default/yolox_x.py:11
Method__init__
(self)
detector/yolox/exps/default/yolox_nano.py:13
Method__init__
(self)
detector/efficientdet/utils.py:8
Method__init__
(self, *args)
detector/efficientdet/effdet/efficientdet.py:24
Method__init__
(self, *args)
detector/efficientdet/effdet/efficientdet.py:34
Method__init__
(self, in_channels, out_channels, kernel_size, stride=1, dilation=1, padding='', bias=False,
detector/efficientdet/effdet/efficientdet.py:44
Method__init__
(self, in_channels, out_channels, kernel_size=3, stride=1, dilation=1, padding='', bias=False,
detector/efficientdet/effdet/efficientdet.py:65
Method__init__
(self, in_channels, out_channels, reduction_ratio=1., pad_type='', pooling_type='max', norm_l
detector/efficientdet/effdet/efficientdet.py:93
Method__init__
(self, feature_info, fpn_config, fpn_channels, inputs_offsets, target_reduction, pad_type='',
detector/efficientdet/effdet/efficientdet.py:143
Method__init__
(self, feature_info, fpn_config, fpn_channels, num_levels=5, pad_type='', pooling_type='max',
detector/efficientdet/effdet/efficientdet.py:196
Method__init__
(self, config, num_outputs, norm_layer=nn.BatchNorm2d, norm_kwargs=None, act_layer=_ACT_LAYER
detector/efficientdet/effdet/efficientdet.py:347
Method__init__
(self, config, norm_kwargs=None)
detector/efficientdet/effdet/efficientdet.py:400
Method__init__
Constructs anchor labeler to assign labels to anchors. Args: anchors: an instance of class Anchors. num_classes: int
detector/efficientdet/effdet/anchors.py:284
Method__init__
(self, model, config)
detector/efficientdet/effdet/bench.py:77
Method__init__
Constructs box collection. Args: boxes: a tensor of shape [N, 4] representing box corners Raises: ValueError
detector/efficientdet/effdet/object_detection/box_list.py:42
Method__init__
Constructor for FasterRcnnBoxCoder. Args: scale_factors: List of 4 positive scalars to scale ty, tx, th and tw. I
detector/efficientdet/effdet/object_detection/faster_rcnn_box_coder.py:41
Method__init__
Construct ArgMaxMatcher. Args: matched_threshold: Threshold for positive matches. Positive if sim >= matched_thre
detector/efficientdet/effdet/object_detection/argmax_matcher.py:52
Method__init__
Constructs a Match object. Args: match_results: Integer tensor of shape [N] with (1) match_results[i]>=0, meaning
detector/efficientdet/effdet/object_detection/matcher.py:46
Method__init__
Construct Object Detection Target Assigner. Args: similarity_calc: a RegionSimilarityCalculator matcher: Matcher use
detector/efficientdet/effdet/object_detection/target_assigner.py:43
Method__init__
(self, config_dict=None)
detector/efficientdet/effdet/config/config.py:27
Method__init__
(self, cfg, opt, save_video=False, video_save_opt=DEFAULT_VIDEO_SAVE_OPT, qu
alphapose/utils/writer_smpl.py:24
Method__init__
(self, input_source, cfg, opt, queueSize=128)
alphapose/utils/file_detector.py:16
Method__init__
(self, cfg, opt, save_video=False, video_save_opt=DEFAULT_VIDEO_SAVE_OPT, qu
alphapose/utils/writer.py:25
Method__init__
(self, input_source, detector, cfg, opt, mode='image', batchSize=1, queueSize=128)
alphapose/utils/detector.py:16
Method__init__
(self)
alphapose/utils/metrics.py:16
Method__init__
(self, name)
alphapose/utils/registry.py:6
Method__init__
(self, input_source, detector, cfg, opt, queueSize=1)
alphapose/utils/webcam_detector.py:15
Method__init__
(self, dataset, scale_factor, add_dpg, input_size, output_size, rot, sigma,
alphapose/utils/presets/simple_transform.py:53
Method__init__
(self, dataset, scale_factor, color_factor, occlusion, add_dpg, input_size, output_size, dept
alphapose/utils/presets/simple_transform_3d_smpl.py:81
Method__init__
(self, out_size, spatial_scale=1, sample_num=0,
alphapose/utils/roi_align/roi_align.py:61
Method__init__
(self, det_file=None, opt=None, **cfg)
alphapose/datasets/halpe_136_det.py:27
Method__init__
(self, det_file=None, opt=None, **cfg)
alphapose/datasets/coco_det.py:27
Method__init__
(self, train=True, dpg=False, skip_empty=True,
alphapose/datasets/custom.py:38
Method__init__
(self, det_file=None, opt=None, **cfg)
alphapose/datasets/coco_wholebody_det.py:27
Method__init__
(self, det_file=None, opt=None, **cfg)
alphapose/datasets/halpe_68_noface_det.py:27
Method__init__
(self, det_file=None, opt=None, **cfg)
alphapose/datasets/single_hand_det.py:27
Method__init__
(self, train=True, dpg=False, skip_empty=True,
alphapose/datasets/concat_dataset.py:30
Method__init__
(self, det_file=None, opt=None, **cfg)
alphapose/datasets/halpe_coco_wholebody_136_det.py:27
Method__init__
(self, det_file=None, opt=None, **cfg)
alphapose/datasets/halpe_26_det.py:27
Method__init__
(self, det_file=None, opt=None, **cfg)
alphapose/datasets/halpe_coco_wholebody_26_det.py:27
Method__init__
(self, norm_layer=nn.BatchNorm2d, **cfg)
alphapose/models/simplepose.py:14
Method__init__
(self)
alphapose/models/hardnet.py:30
Method__init__
(self, in_channels, out_channels, norm_layer, kernel=1, stride=1, dropout=0.1, bias=False)
alphapose/models/hardnet.py:45
Method__init__
(self, in_channels, out_channels, norm_layer, stride=1, bias=False)
alphapose/models/hardnet.py:55
Method__init__
(self, in_channels, out_channels, norm_layer, kernel=3, stride=1, padding=0, bias=False)
alphapose/models/hardnet.py:73
Method__init__
(self, in_channels, norm_layer)
alphapose/models/hardnet.py:90
Method__init__
(self, in_channels, growth_rate, grmul, n_layers, norm_layer, keepBase=False, residual_out=False, dwconv=False
alphapose/models/hardnet.py:122
Method__init__
(self, in_channels, growth_rate, grmul, n_layers, norm_layer, dwconv=False)
alphapose/models/hardnet.py:195
Method__init__
(self, arch, norm_layer, depth_wise=False)
alphapose/models/hardnet.py:310
Method__init__
(self, in_channels, out_channels)
alphapose/models/hardnet.py:383
Method__init__
(self, norm_layer=nn.BatchNorm2d, **cfg)
alphapose/models/hardnet.py:398
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
alphapose/models/hrnet.py:60
Method__init__
(self, num_branches, blocks, num_blocks, num_inchannels, num_channels, fuse_method, multi_sca
alphapose/models/hrnet.py:99
Method__init__
(self, **cfg)
alphapose/models/hrnet.py:272
Method__init__
(self,norm_layer=nn.BatchNorm2d,**cfg)
alphapose/models/fastpose_duc_dense.py:17
Method__init__
(self, norm_layer=nn.BatchNorm2d, **kwargs)
alphapose/models/simple3dposeSMPLWithCam.py:33
Method__init__
(self, norm_layer=nn.BatchNorm2d, **cfg)
alphapose/models/fastpose_duc.py:18
Method__init__
(self, OUTPUT_3D=False, size_average=True, reduce=True, NORM_TYPE='softmax')
alphapose/models/criterion.py:50
Method__init__
(self, norm_layer=nn.BatchNorm2d, **cfg)
alphapose/models/fastpose.py:16
Method__init__
(self, channel, reduction=1)
alphapose/models/layers/SE_module.py:10
Method__init__
(self, inplanes, planes, stride=1, downsample=None, reduction=False, norm_la
alphapose/models/layers/ShuffleResnet.py:63
Method__init__
(self, architecture, norm_layer=nn.BatchNorm2d, dcn=None, stage_with_dcn=(False, False, False, False))
alphapose/models/layers/ShuffleResnet.py:129
Method__init__
(self, inplanes, planes, stride=1, downsample=None, reduction=False, norm_layer=nn.BatchNorm2
alphapose/models/layers/SE_Resnet.py:21
Method__init__
(self, inplanes, planes, stride=1, downsample=None, reduction=False, norm_la
alphapose/models/layers/SE_Resnet.py:62
Method__init__
(self, inplanes, planes, upscale_factor=2, norm_layer=nn.BatchNorm2d)
alphapose/models/layers/DUC.py:15
Method__init__
(self, downscale_factor=2)
alphapose/models/layers/PixelUnshuffle.py:15
Method__init__
(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1, norm
alphapose/models/layers/Resnet.py:20
Method__init__
(self, inplanes, planes, stride=1, downsample=None, norm_layer=nn.BatchNorm2d, dcn=None)
alphapose/models/layers/Resnet.py:60
Method__init__
(self, spatial_scale, out_size, out_channels,
alphapose/models/layers/dcn/deform_pool.py:115
Method__init__
(self, spatial_scale, out_size, out_channels,
alphapose/models/layers/dcn/deform_pool.py:176
Method__init__
(self, inplanes, planes, dcn, kernel_size, stride=1, padding=0, bias=False)
alphapose/models/layers/dcn/DCN.py:17
Method__init__
(self, *args, **kwargs)
alphapose/models/layers/dcn/deform_conv.py:241
Method__init__
(self, in_channels, out_channels, kernel_size,
alphapose/models/layers/dcn/deform_conv.py:266
Method__init__
(self, *args, **kwargs)
alphapose/models/layers/dcn/deform_conv.py:313
Method__init__
SMPL model layers Parameters: ---------- model_path: str The path to the folder or to the file where the model
alphapose/models/layers/smpl/SMPL.py:62
Method__iter__
(self)
detector/tracker/utils/datasets.py:32
Method__iter__
(self)
detector/tracker/utils/datasets.py:99
Method__len__
(self)
detector/tracker/utils/datasets.py:75
Method__len__
(self)
detector/tracker/utils/datasets.py:123
Method__len__
(self)
detector/tracker/utils/datasets.py:231
Method__len__
(self)
alphapose/datasets/halpe_136_det.py:82
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