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

⨍ Functions 1,314◇ Types & classes 216
↓ 2 callersFunctionget_color
(idx)
detector/tracker/utils/visualization.py:14
↓ 2 callersFunctionget_color_fast
(idx)
alphapose/utils/vis.py:37
↓ 2 callersMethodget_data
(self, img_path, label_path)
detector/tracker/utils/datasets.py:149
↓ 2 callersFunctionget_intrinsic_metrix
(f, c, inv=False)
alphapose/utils/transforms.py:936
↓ 2 callersFunctionget_max_pred_batch
(batch_heatmaps)
alphapose/utils/transforms.py:739
↓ 2 callersMethodget_model
(self, sublinear=False)
detector/yolox/exps/default/yolov3.py:19
↓ 2 callersFunctionget_parametric_distance
(i, all_preds, keypoint_scores, ref_dist, use_dist_mask=False)
alphapose/utils/pPose_nms.py:573
↓ 2 callersFunctionget_smpl_color
(idx)
alphapose/utils/vis.py:44
↓ 2 callersMethodhalf_body_transform
(self, joints, joints_vis)
alphapose/utils/presets/simple_transform_3d_smpl.py:517
↓ 2 callersMethodimage_preprocess
(self)
alphapose/utils/detector.py:143
↓ 2 callersMethodinference
(self, img)
detector/yolox/tools/demo.py:132
↓ 2 callersFunctionis_installed
(package_name)
setup.py:176
↓ 2 callersFunctionletterbox_image
(img, img_size=(1088, 608), color=(127.5, 127.5, 127.5))
detector/tracker/preprocess.py:19
↓ 2 callersFunctionletterbox_image
resize image with unchanged aspect ratio using padding
detector/efficientdet/utils.py:49
↓ 2 callersMethodload_model
(self)
detector/yolox_api.py:39
↓ 2 callersMethodload_model
(self)
detector/yolo_api.py:44
↓ 2 callersMethodmark_lost
(self)
detector/tracker/tracker/basetrack.py:48
↓ 2 callersMethodmark_removed
(self)
trackers/tracking/basetrack.py:51
↓ 2 callersMethodmatched_column_indices
Returns column indices that match to some row. The indices returned by this op are always sorted in increasing order. Returns:
detector/efficientdet/effdet/object_detection/matcher.py:73
↓ 2 callersFunctionmeshgrid
(*tensors)
detector/yolox/yolox/utils/compat.py:11
↓ 2 callersMethodnext_id
()
trackers/tracking/basetrack.py:35
↓ 2 callersMethodnext_id
()
detector/tracker/tracker/basetrack.py:35
↓ 2 callersFunctionnon_max_suppression
Removes detections with lower object confidence score than 'conf_thres' Non-Maximum Suppression to further filter detections. Returns det
detector/tracker/utils/utils.py:430
↓ 2 callersFunctionoks_iou
Calculate oks ious. Args: g: Ground truth keypoints. d: Detected keypoints. a_g: Area of the ground truth object.
alphapose/utils/pPose_nms.py:148
↓ 2 callersFunctionparallel_process
A parallel version of the map function with a progress bar. Args: array (array-like): An array to iterate over.
trackers/PoseFlow/parallel_process.py:5
↓ 2 callersMethodpredict
(self)
detector/tracker/tracker/basetrack.py:42
↓ 2 callersFunctionpredict_transform
(prediction, inp_dim, anchors, num_classes, args)
detector/yolo/util.py:29
↓ 2 callersFunctionprep_frame
Prepare image for inputting to the neural network. Returns a Variable
detector/yolo/preprocess.py:49
↓ 2 callersFunctionprep_frame
Prepare image for inputting to the neural network. Returns a Variable
detector/efficientdet/utils.py:83
↓ 2 callersFunctionpreproc
(img, input_size, swap=(2, 0, 1))
detector/yolox/utils/preprocess.py:8
↓ 2 callersFunctionprint_finish_info
()
scripts/demo_inference.py:148
↓ 2 callersFunctionprint_finish_info
()
scripts/demo_3d_inference.py:150
↓ 2 callersMethodproject
Project state distribution to measurement space. Parameters ---------- mean : ndarray The state's mean vecto
trackers/utils/kalman_filter.py:126
↓ 2 callersMethodproject
Project state distribution to measurement space. Parameters ---------- mean : ndarray The state's mean vecto
trackers/tracking/utils/kalman_filter.py:125
↓ 2 callersMethodproject
Project state distribution to measurement space. Parameters ---------- mean : ndarray The state's mean vecto
detector/tracker/utils/kalman_filter.py:125
↓ 2 callersFunctionquat_to_rotmat
Convert quaternion coefficients to rotation matrix. Args: quat: size = [B, 4] 4 <===>(w, x, y, z) Returns: Rotation matrix cor
alphapose/models/layers/smpl/lbs.py:1275
↓ 2 callersMethodre_activate
(self, new_track, frame_id, new_id=False)
trackers/tracker_api.py:97
↓ 2 callersFunctionremove_duplicate_stracks
(stracksa, stracksb)
detector/tracker/tracker/multitracker.py:322
↓ 2 callersMethodreset_accumulator
(self)
detector/tracker/utils/evaluation.py:26
↓ 2 callersFunctionscale_coords
(img_size, coords, img0_shape)
detector/tracker/utils/utils.py:101
↓ 2 callersMethodsources
Get path list of source files of op. NOTE: the path should be elative to root of package during building, Otherwise, exception wi
detector/yolox/yolox/layers/jit_ops.py:30
↓ 2 callersFunctionsub_stracks
(tlista, tlistb)
trackers/tracker_api.py:343
↓ 2 callersMethodtlbr_to_tlwh
(tlbr)
detector/tracker/tracker/multitracker.py:132
↓ 2 callersFunctionto_numpy
(tensor)
trackers/utils/basetransforms.py:122
↓ 2 callersFunctionto_numpy
(tensor)
alphapose/utils/transforms.py:115
↓ 2 callersMethodto_xyah
(self)
trackers/tracker_api.py:172
↓ 2 callersFunctiontrack
(tracker,args,orig_img,inps,boxes,hm,cropped_boxes,im_name,scores)
trackers/__init__.py:3
↓ 2 callersFunctiontransform_preds
(coords, center, scale, output_size)
trackers/utils/basetransforms.py:716
↓ 2 callersFunctiontransform_preds
(coords, center, scale, output_size)
alphapose/utils/transforms.py:710
↓ 2 callersMethodupdate
(self, value, n=1)
alphapose/utils/metrics.py:25
↓ 2 callersMethodvisual
(self, output, img_info, cls_conf=0.35)
detector/yolox/tools/demo.py:171
↓ 2 callersMethodwait_and_put
(self, queue, item)
alphapose/utils/file_detector.py:129
↓ 2 callersMethodwrite_image
(self, img, im_name, stream=None)
alphapose/utils/writer_smpl.py:159
↓ 2 callersMethodwrite_image
(self, img, im_name, stream=None)
alphapose/utils/writer.py:182
↓ 2 callersMethodwrite_results
(self, prediction, confidence, num_classes, nms=True, nms_conf=0.4)
detector/yolo_api.py:126
↓ 1 callersFunctionPCK_match
(pick_pred, all_preds, ref_dist)
alphapose/utils/pPose_nms.py:613
↓ 1 callersFunctionPCK_match_fullbody
(pick_pred, pred_score, all_preds, ref_dist)
alphapose/utils/pPose_nms.py:627
↓ 1 callersMethod__init__
(self, n_ID)
trackers/ReidModels/ResBnLin.py:29
↓ 1 callersMethod__init__
(self, in_channels, out_channels, kernel_size=3, padding='same_padding', dilation=1, bn=False)
trackers/ReidModels/backbone/sqeezenet.py:8
↓ 1 callersMethod__init__
(self, in_planes, n1x1, n3x3red, n3x3, n5x5red, n5x5, pool_planes)
trackers/ReidModels/backbone/googlenet.py:10
↓ 1 callersMethod__init__
(self, name)
detector/yolox/yolox/layers/jit_ops.py:23
↓ 1 callersMethod__init__
Args: depth (int): depth of darknet used in model, usually use [21, 53] for this param. in_channels (int): number of
detector/yolox/yolox/models/darknet.py:14
↓ 1 callersMethod__init__
Constructs multiscale RetinaNet anchors. Args: min_level: integer number of minimum level of the output feature pyramid.
detector/efficientdet/effdet/anchors.py:232
↓ 1 callersMethod__init__
(self, model, config, nms_thres=0.5, max_dets=100)
detector/efficientdet/effdet/bench.py:50
↓ 1 callersMethod__init__
(self, **kwargs)
alphapose/models/layers/smpl/SMPL.py:27
↓ 1 callersMethod__setattr__
(self, k, v)
detector/efficientdet/effdet/config/config.py:30
↓ 1 callersMethod_cal_avg
(self)
alphapose/utils/metrics.py:31
↓ 1 callersMethod_check_branches
(self, num_branches, blocks, num_blocks, num_inchannels, num_channels)
alphapose/models/hrnet.py:116
↓ 1 callersMethod_check_load_keypoints
Check and load ground-truth keypoints
alphapose/datasets/mscoco.py:67
↓ 1 callersMethod_check_load_keypoints
Check and load ground-truth keypoints
alphapose/datasets/halpe_136.py:79
↓ 1 callersMethod_check_load_keypoints
Check and load ground-truth keypoints
alphapose/datasets/coco_wholebody.py:78
↓ 1 callersMethod_check_load_keypoints
Check and load ground-truth keypoints
alphapose/datasets/single_hand.py:71
↓ 1 callersMethod_check_load_keypoints
Check and load ground-truth keypoints
alphapose/datasets/halpe_26.py:70
↓ 1 callersMethod_check_load_keypoints
Check and load ground-truth keypoints for Halpe FullBody
alphapose/datasets/halpe_coco_wholebody_136.py:117
↓ 1 callersMethod_check_load_keypoints
Check and load ground-truth keypoints
alphapose/datasets/halpe_coco_wholebody_26.py:108
↓ 1 callersMethod_check_load_keypoints
Check and load ground-truth keypoints
alphapose/datasets/halpe_68_noface.py:75
↓ 1 callersMethod_check_load_keypoints
Check and load ground-truth keypoints
alphapose/datasets/mpii.py:68
↓ 1 callersMethod_check_load_keypoints_2
Check and load ground-truth keypoints for coco wholebody
alphapose/datasets/halpe_coco_wholebody_136.py:180
↓ 1 callersMethod_check_load_keypoints_2
Check and load ground-truth keypoints for coco wholebody
alphapose/datasets/halpe_coco_wholebody_26.py:173
↓ 1 callersFunction_clip_aspect_ratio
(boxes, aspect_ratio=1.0)
alphapose/utils/bbox.py:229
↓ 1 callersMethod_compare
(self, boxlist1, boxlist2)
detector/efficientdet/effdet/object_detection/region_similarity_calculator.py:101
↓ 1 callersMethod_construct_fc_layer
(self, fc_dims, input_dim, dropout_p=None)
trackers/ReidModels/osnet_ain.py:365
↓ 1 callersMethod_construct_fc_layer
Constructs fully connected layer Args: fc_dims (list or tuple): dimensions of fc layers, if None, no fc layers are constructed
trackers/ReidModels/resnet_fc.py:293
↓ 1 callersMethod_construct_fc_layer
(self, fc_dims, input_dim, dropout_p=None)
trackers/ReidModels/osnet.py:369
↓ 1 callersMethod_create_classification_targets
Create classification targets for each anchor. Assign a classification target of for each anchor to the matching groundtruth label th
detector/efficientdet/effdet/object_detection/target_assigner.py:192
↓ 1 callersMethod_create_classification_weights
Create classification weights for each anchor. Positive (matched) anchors are associated with a weight of positive_class_weight and n
detector/efficientdet/effdet/object_detection/target_assigner.py:235
↓ 1 callersMethod_create_regression_targets
Returns a regression target for each anchor. Args: anchors: a BoxList representing N anchors groundtruth_boxes: a Bo
detector/efficientdet/effdet/object_detection/target_assigner.py:148
↓ 1 callersMethod_create_regression_weights
Set regression weight for each anchor. Only positive anchors are set to contribute to the regression loss, so this method returns a w
detector/efficientdet/effdet/object_detection/target_assigner.py:217
↓ 1 callersMethod_decode
Method to be overridden by implementations. Args: rel_codes: a tensor representing N relative-encoded boxes anchors: BoxL
detector/efficientdet/effdet/object_detection/box_coder.py:98
↓ 1 callersMethod_default_regression_target
Returns the default target for anchors to regress to. Default regression targets are set to zero (though in this implementation what
detector/efficientdet/effdet/object_detection/target_assigner.py:180
↓ 1 callersMethod_encode
Method to be overridden by implementations. Args: boxes: BoxList holding N boxes to be encoded anchors: BoxList of N anch
detector/efficientdet/effdet/object_detection/box_coder.py:85
↓ 1 callersFunction_generate_anchor_boxes
Generates multiscale anchor boxes. Args: image_size: integer number of input image size. The input image has the same dimension for
detector/efficientdet/effdet/anchors.py:117
↓ 1 callersFunction_generate_anchor_configs
Generates mapping from output level to a list of anchor configurations. A configuration is a tuple of (num_anchors, scale, aspect_ratio). Ar
detector/efficientdet/effdet/anchors.py:88
↓ 1 callersMethod_generate_boxes
Generates multiscale anchor boxes.
detector/efficientdet/effdet/anchors.py:269
↓ 1 callersMethod_generate_configs
Generate configurations of anchor boxes.
detector/efficientdet/effdet/anchors.py:265
↓ 1 callersMethod_get_box_center_area
Get bbox center
alphapose/datasets/halpe_136.py:142
↓ 1 callersMethod_get_box_center_area
Get bbox center
alphapose/datasets/coco_wholebody.py:146
↓ 1 callersMethod_get_box_center_area
Get bbox center
alphapose/datasets/halpe_26.py:133
↓ 1 callersMethod_get_box_center_area
Get bbox center
alphapose/datasets/halpe_68_noface.py:144
↓ 1 callersMethod_get_keypoints_center_count
Get geometric center of all keypoints
alphapose/datasets/halpe_136.py:148
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