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Functions340 in github.com/Michel-liu/GroupPose

Functioninit_distributed_mode
(args)
util/misc.py:471
Functioninverse_sigmoid
(x, eps=1e-5)
util/utils.py:198
Functionkeypoint_xyxyzz_to_xyzxyz
_summary_ Args: keypoints (torch.Tensor): ..., 51
util/keypoint_ops.py:3
Methodloss_cardinality
(self, outputs, targets, indices, num_boxes)
models/grouppose/criterion.py:52
Methodloss_keypoints
(self, outputs, targets, indices, num_boxes)
models/grouppose/criterion.py:62
Methodloss_labels
(self, outputs, targets, indices, num_boxes, log=True)
models/grouppose/criterion.py:27
Methodloss_matching_cost
(self, outputs, targets, indices, num_boxes)
models/grouppose/criterion.py:88
Functionmasks_to_boxes
Compute the bounding boxes around the provided masks The masks should be in format [N, H, W] where N is the number of masks, (H, W) are the spati
util/box_ops.py:106
Methodmedian
(self)
util/misc.py:64
Functionmerge_configs
(cfg1, cfg2)
util/utils.py:473
Methodmodule_dict
(self)
models/registry.py:24
Functionms_deform_attn_backward
models/grouppose/ops/src/ms_deform_attn.h:41
Functionms_deform_attn_cpu_backward
models/grouppose/ops/src/cpu/ms_deform_attn_cpu.cpp:29
Functionms_deform_attn_cpu_forward
models/grouppose/ops/src/cpu/ms_deform_attn_cpu.cpp:17
Functionms_deform_attn_forward
models/grouppose/ops/src/ms_deform_attn.h:20
Methodname
(self)
models/registry.py:20
Methodorigin2compact
(self, idx)
util/utils.py:58
Functionpad
(image, target, padding)
datasets/transforms_crowdpose.py:163
Functionpad
(image, target, padding)
datasets/transforms.py:160
Methodpretty_text
(self)
util/slconfig.py:220
Functionrandom_boxes
Simple version of ``kwimage.Boxes.random`` Returns: Tensor: shape (n, 4) in x1, y1, x2, y2 format. References: https://gitla
util/utils.py:336
Functionreduce_dict
Args: input_dict (dict): all the values will be reduced average (bool): whether to do average or sum Reduce the values in the
util/misc.py:139
Methodregiste_with_name
(self, module_name=None, force=False)
models/registry.py:30
Methodregister
Register a module build function. Args: module (:obj:`nn.Module`): Module to be registered.
models/registry.py:33
Functionrenorm
(img: torch.FloatTensor, mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
util/utils.py:30
Functionsave_on_master
(*args, **kwargs)
util/misc.py:466
Methodset
(self, model)
util/utils.py:395
Methodshape
(self)
util/misc.py:364
Functionslprint
(x, name='x')
util/utils.py:9
Functionstat_tensors
(tensor)
util/utils.py:224
Methodsummarize
(self)
datasets/crowdpose_eval.py:75
Methodsynchronize_between_processes
(self)
datasets/crowdpose_eval.py:66
Methodsynchronize_between_processes
Warning: does not synchronize the deque!
util/misc.py:50
Methodtext
(self)
util/slconfig.py:216
Methodto_img_list
remove the padding and convert to img list Returns: [type]: [description]
util/misc.py:337
Methodupdate
(self, predictions)
datasets/crowdpose_eval.py:50
Methodupdate
Input: pred, gt: Tensor()
util/utils.py:181
Methodupdate
(self, new_res, ep)
util/utils.py:413
Methodupdate_cm
(self, tp, fp, tn, fn)
util/utils.py:192
Methodvalue
(self)
util/misc.py:84
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