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

⨍ Functions 1,314◇ Types & classes 216
↓ 3 callersMethod_make_transition_layer
( self, num_channels_pre_layer, num_channels_cur_layer)
alphapose/models/hrnet.py:329
↓ 3 callersFunctionaddDPG
Add dpg for data augmentation, including random crop and random sample.
alphapose/utils/transforms.py:43
↓ 3 callersMethodas_dict
Returns a dict representation.
detector/efficientdet/effdet/config/config.py:98
↓ 3 callersFunctionbbox_iou
Returns the IoU of two bounding boxes
detector/yolo/bbox.py:51
↓ 3 callersFunctionbest_matching_hungarian
(all_cors, all_pids_info, all_pids_fff, track_vid_next_fid, weights, weights_fff, num, mag, pool_size=5)
trackers/PoseFlow/utils.py:199
↓ 3 callersFunctionbifpn_sum_config
BiFPN config with sum.
detector/efficientdet/effdet/efficientdet.py:244
↓ 3 callersFunctionbuild
(cfg, registry, default_args=None)
alphapose/models/builder.py:11
↓ 3 callersFunctioncal_bbox_iou
(boxA, boxB)
trackers/PoseFlow/utils.py:64
↓ 3 callersMethodclear
(self, queue)
alphapose/utils/detector.py:133
↓ 3 callersFunctionconv1x1
1x1 convolution
trackers/ReidModels/resnet_fc.py:46
↓ 3 callersFunctionconv3x3
3x3 convolution with padding
trackers/ReidModels/resnet_fc.py:32
↓ 3 callersMethodevaluate
Run per image evaluation on given images and store results in self.evalImgs_cpp, a datastructure that isn't readable from Python but
detector/yolox/yolox/layers/fast_coco_eval_api.py:27
↓ 3 callersMethodfinal_result_by_name
(self, frame_name)
trackers/PoseFlow/poseflow_infer.py:179
↓ 3 callersMethodget_center_coordinates_and_sizes
Computes the center coordinates, height and width of the boxes. Returns: a list of 4 1-D tensors [ycenter, xcenter, height, width
detector/efficientdet/effdet/object_detection/box_list.py:145
↓ 3 callersFunctionget_dir
Rotate the point by `rot_rad` degree.
trackers/utils/basetransforms.py:336
↓ 3 callersFunctionget_dir
Rotate the point by `rot_rad` degree.
alphapose/utils/transforms.py:317
↓ 3 callersFunctionget_exp
get Exp object by file or name. If exp_file and exp_name are both provided, get Exp by exp_file. Args: exp_file (str): file path
detector/yolox/yolox/exp/build.py:27
↓ 3 callersMethodget_field
Accesses a box collection and associated fields. This function returns specified field with object; if no field is specified, it retu
detector/efficientdet/effdet/object_detection/box_list.py:110
↓ 3 callersFunctionget_max_pred
(heatmaps)
trackers/utils/basetransforms.py:723
↓ 3 callersMethodget_out_ch
(self)
alphapose/models/hardnet.py:119
↓ 3 callersMethodimages_detection
(self, imgs, orig_dim_list)
detector/apis.py:44
↓ 3 callersFunctioniou_distance
Compute cost based on IoU :type atracks: list[STrack] :type btracks: list[STrack] :rtype cost_matrix np.ndarray
trackers/tracking/matching.py:76
↓ 3 callersFunctionlinear_assignment
Simple linear assignment :type cost_matrix: np.ndarray :type thresh: float :return: matches, unmatched_a, unmatched_b
trackers/tracking/matching.py:39
↓ 3 callersMethodload_model
(self)
detector/effdet_api.py:51
↓ 3 callersFunctionnorm_heatmap
(norm_type, heatmap)
alphapose/models/simple3dposeSMPLWithCam.py:19
↓ 3 callersFunctionorb_matching
(img1_path, img2_path, vidname, img1_id, img2_id)
trackers/PoseFlow/matching.py:29
↓ 3 callersFunctionp_merge_fast
Score-weighted pose merging INPUT: ref_pose: reference pose -- [kp_num, 2] cluster_preds: redundant poses
alphapose/utils/pPose_nms.py:533
↓ 3 callersFunctionpose_nms
(bboxes, bbox_scores, bbox_ids, pose_preds, pose_scores, areaThres=0, use_heatmap_loss=True)
alphapose/utils/pPose_nms.py:227
↓ 3 callersFunctionpostprocess
( prediction, num_classes, conf_thre=0.7, nms_thre=0.45, classes=0, class_agnostic=Fal
detector/yolox/yolox/utils/boxes.py:32
↓ 3 callersFunctionread_results
(filename, data_type: str, is_gt=False, is_ignore=False)
detector/tracker/utils/io.py:36
↓ 3 callersFunctionstack_all_pids
(track_vid, frame_list, idxs, max_pid_id, link_len)
trackers/PoseFlow/utils.py:95
↓ 3 callersFunctionto_torch
(ndarray)
trackers/utils/basetransforms.py:132
↓ 3 callersFunctionto_torch
(ndarray)
alphapose/utils/transforms.py:125
↓ 3 callersMethodtransform
(self, blk, trt=False)
alphapose/models/hardnet.py:223
↓ 3 callersFunctionunique
(tensor)
detector/yolo/util.py:99
↓ 3 callersFunctionunzip_objs
(objs)
detector/tracker/utils/io.py:105
↓ 3 callersMethodupdate
(self, image)
trackers/ReidModels/classification/classifier.py:75
↓ 3 callersMethodupdate
(self, *args, **kwargs)
trackers/tracking/basetrack.py:45
↓ 3 callersMethodupdate
(self, val, n=1)
detector/efficientdet/utils.py:17
↓ 3 callersMethodupdate_features
(self, feat)
trackers/tracker_api.py:55
↓ 3 callersMethodupdate_features
(self, feat)
detector/tracker/tracker/multitracker.py:35
↓ 3 callersMethodwait_and_get
(self, queue)
alphapose/utils/detector.py:140
↓ 2 callersMethod__init__
( self, num_classes, loss, block, layers, zero_init_residual=F
trackers/ReidModels/resnet_fc.py:176
↓ 2 callersMethod__init__
(self, planes)
trackers/ReidModels/ResNet.py:31
↓ 2 callersMethod__init__
(self, inplanes, planes, stride=1, downsample=None, reduction=False, norm_layer=nn.BatchNorm2
alphapose/models/layers/ShuffleResnet.py:22
↓ 2 callersMethod__init__
(self, architecture, norm_layer=nn.BatchNorm2d, dcn=None, stage_with_dcn=(False, False, False
alphapose/models/layers/SE_Resnet.py:146
↓ 2 callersMethod__init__
(self, architecture, norm_layer=nn.BatchNorm2d, dcn=None, stage_with_dcn=(False, False, False, False))
alphapose/models/layers/Resnet.py:136
↓ 2 callersMethod__init__
(self, spatial_scale, out_size, out_channels,
alphapose/models/layers/dcn/deform_pool.py:84
↓ 2 callersFunction_assert_no_grad
(tensor)
alphapose/models/criterion.py:79
↓ 2 callersFunction_factor_closest
(num, factor, is_ceil=True)
trackers/ReidModels/classification/classifier.py:12
↓ 2 callersMethod_get_box_center_area
Get bbox center
alphapose/datasets/mscoco.py:129
↓ 2 callersMethod_get_box_center_area
Get bbox center
alphapose/datasets/single_hand.py:181
↓ 2 callersMethod_get_box_center_area
Get bbox center
alphapose/datasets/halpe_coco_wholebody_136.py:249
↓ 2 callersMethod_get_box_center_area
Get bbox center
alphapose/datasets/halpe_coco_wholebody_26.py:244
↓ 2 callersMethod_get_keypoints_center_count
Get geometric center of all keypoints
alphapose/datasets/mscoco.py:135
↓ 2 callersMethod_get_keypoints_center_count
Get geometric center of all keypoints
alphapose/datasets/single_hand.py:187
↓ 2 callersMethod_get_keypoints_center_count
Get geometric center of all keypoints
alphapose/datasets/halpe_coco_wholebody_136.py:255
↓ 2 callersMethod_get_keypoints_center_count
Get geometric center of all keypoints
alphapose/datasets/halpe_coco_wholebody_26.py:250
↓ 2 callersMethod_integral_target_generator
(self, joints_3d, num_joints, patch_height, patch_width)
alphapose/utils/presets/simple_transform.py:165
↓ 2 callersMethod_integral_xyz_target_generator
(self, joints_3d, joints_3d_vis, num_joints)
alphapose/utils/presets/simple_transform_3d_smpl.py:194
↓ 2 callersMethod_make_embedding
(self, filters_list, in_filters)
detector/yolox/yolox/models/yolo_fpn.py:41
↓ 2 callersMethod_target_generator
(self, joints_3d, num_joints)
alphapose/utils/presets/simple_transform.py:126
↓ 2 callersMethod_unpack_labels
Unpacks an array of labels into multiscales labels.
detector/efficientdet/effdet/anchors.py:309
↓ 2 callersMethod_update
Recursively update internal members.
detector/efficientdet/effdet/config/config.py:48
↓ 2 callersMethodabsolute_name
Get absolute build path for cases where the op is pre-installed.
detector/yolox/yolox/layers/jit_ops.py:26
↓ 2 callersMethodaccumulate
Accumulate per image evaluation results and store the result in self.eval. Does not support changing parameter settings from those u
detector/yolox/yolox/layers/fast_coco_eval_api.py:126
↓ 2 callersFunctionadd_nose
(array)
trackers/PoseFlow/utils.py:273
↓ 2 callersFunctionarea
Computes area of boxes. Args: boxlist: BoxList holding N boxes Returns: a tensor with shape [N] representing box areas.
detector/efficientdet/effdet/object_detection/region_similarity_calculator.py:26
↓ 2 callersFunctionbatch_get_3children_orient_svd
(rel_pose_skeleton, rel_rest_pose, rot_mat_chain_parent, children_list, dtype)
alphapose/models/layers/smpl/lbs.py:1114
↓ 2 callersFunctionbatch_get_pelvis_orient
(rel_pose_skeleton, rel_rest_pose, parents, children, dtype)
alphapose/models/layers/smpl/lbs.py:1047
↓ 2 callersFunctionbatch_get_pelvis_orient_svd
(rel_pose_skeleton, rel_rest_pose, parents, children, dtype)
alphapose/models/layers/smpl/lbs.py:1009
↓ 2 callersFunctionbatch_rigid_transform
Applies a batch of rigid transformations to the joints Parameters ---------- rot_mats : torch.tensor BxNx3x3 Tensor of rotat
alphapose/models/layers/smpl/lbs.py:493
↓ 2 callersFunctionbatch_rodrigues
Calculates the rotation matrices for a batch of rotation vectors Parameters ---------- rot_vecs: torch.tensor Nx3
alphapose/models/layers/smpl/lbs.py:446
↓ 2 callersFunctionblend_shapes
Calculates the per vertex displacement due to the blend shapes Parameters ---------- betas : torch.tensor Bx(num_betas) Blend s
alphapose/models/layers/smpl/lbs.py:422
↓ 2 callersFunctionbuild_from_cfg
Build a module from config dict. Args: cfg (dict): Config dict. It should at least contain the key "type". registry (:obj:`Regist
alphapose/utils/registry.py:46
↓ 2 callersFunctioncal_pose_iou
(pose1_box,pose2_box, num,mag)
trackers/PoseFlow/utils.py:134
↓ 2 callersFunctioncal_pose_iou_dm
(all_cors,pose1,pose2,num,mag)
trackers/PoseFlow/utils.py:147
↓ 2 callersFunctioncalc_accuracy
Calculate heatmap accuracy.
alphapose/utils/metrics.py:124
↓ 2 callersFunctioncalc_dist
Calculate normalized distances
alphapose/utils/metrics.py:227
↓ 2 callersFunctioncalc_integral_accuracy
Calculate integral coordinates accuracy.
alphapose/utils/metrics.py:156
↓ 2 callersFunctionconv3x3
3x3 convolution with padding
alphapose/models/hrnet.py:19
↓ 2 callersFunctionconv3x3
3x3 convolution with padding
alphapose/models/layers/ShuffleResnet.py:13
↓ 2 callersFunctionconv3x3
3x3 convolution with padding
alphapose/models/layers/SE_Resnet.py:12
↓ 2 callersFunctionconv3x3
3x3 convolution with padding
alphapose/models/layers/Resnet.py:11
↓ 2 callersMethodcxx_args
Get optional list of compiler flags to forward
detector/yolox/yolox/layers/jit_ops.py:52
↓ 2 callersMethoddecode
Decode boxes that are encoded relative to an anchor collection. Args: rel_codes: a tensor representing N relative-encoded boxes
detector/efficientdet/effdet/object_detection/box_coder.py:71
↓ 2 callersFunctiondist_acc
Calculate accuracy with given input distance.
alphapose/utils/metrics.py:245
↓ 2 callersMethoddynamic_write_results
( self, prediction, num_classes, conf_thres, nms_thres, classes=0 )
detector/yolox_api.py:114
↓ 2 callersMethoddynamic_write_results
(self, prediction, confidence, num_classes, nms=True, nms_conf=0.4)
detector/yolo_api.py:114
↓ 2 callersFunctionexpand_bbox
(left, right, top, bottom, img_width, img_height)
trackers/PoseFlow/utils.py:47
↓ 2 callersFunctionfind_region_cors_last
(box_pos, all_cors)
trackers/PoseFlow/utils.py:251
↓ 2 callersFunctionfind_region_cors_next
(box_pos, all_cors)
trackers/PoseFlow/utils.py:262
↓ 2 callersFunctionflip_xyz_joints_3d
Flip 3d xyz joints. Parameters ---------- joints_3d : numpy.ndarray Joints in shape (num_joints, 3) joint_pairs : list
alphapose/utils/transforms.py:832
↓ 2 callersMethodgating_distance
Compute gating distance between state distribution and measurements. A suitable distance threshold can be obtained from `chi2inv95`. If
trackers/tracking/utils/kalman_filter.py:188
↓ 2 callersFunctiongenerate_anchor
(nGh, nGw, anchor_wh)
trackers/utils/utils.py:436
↓ 2 callersFunctiongenerate_anchor
(nGh, nGw, anchor_wh)
trackers/tracking/utils/utils.py:372
↓ 2 callersFunctiongenerate_anchor
(nGh, nGw, anchor_wh)
detector/tracker/utils/utils.py:372
↓ 2 callersFunctiongenerate_fake_cor
(img, out_path)
trackers/PoseFlow/matching.py:18
↓ 2 callersMethodget_assignments
( self, batch_idx, num_gt, total_num_anchors, gt_bboxes_per_image,
detector/yolox/yolox/models/yolo_head.py:432
↓ 2 callersFunctionget_box
(pose, imgpath)
trackers/PoseFlow/utils.py:34
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