Functions — github.com/Duankaiwen/CenterNet

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Functions232 in github.com/Duankaiwen/CenterNet

⨍ Functions 232◇ Types & classes 39

↓ 10 callersFunction_isArrayLike

(obj)

data/coco/PythonAPI/pycocotools/coco.py:66

↓ 10 callersFunction_tranpose_and_gather_feat

(feat, ind)

models/py_utils/kp_utils.py:58

↓ 9 callersMethodmean

(self)

db/base.py:49

↓ 7 callersMethodcuda

(self)

nnet/py_factory.py:68

↓ 5 callersMethod__init__

(self, dim, pool1, pool2)

models/CenterNet-104.py:8

↓ 5 callersMethod__init__

(self, dim, pool1, pool2)

models/CenterNet-52.py:8

↓ 5 callersFunction_gather_feat

(feat, ind, mask=None)

models/py_utils/kp_utils.py:41

↓ 5 callersMethodgetAnnIds

Get ann ids that satisfy given filter conditions. default skips that filter :param imgIds (int array) : get anns for given imgs

data/coco/PythonAPI/pycocotools/coco.py:129

↓ 5 callersMethodloadAnns

Load anns with the specified ids. :param ids (int array) : integer ids specifying anns :return: anns (object array) : l

data/coco/PythonAPI/pycocotools/coco.py:200

↓ 4 callersMethodbackward

(ctx, grad_output)

models/py_utils/_cpools/__init__.py:18

↓ 4 callersMethodforward

(self, x)

models/py_utils/_cpools/__init__.py:63

↓ 4 callersMethodgetImgIds

Get img ids that satisfy given filter conditions. :param imgIds (int array) : get imgs for given ids :param catIds (int array

data/coco/PythonAPI/pycocotools/coco.py:179

↓ 4 callersMethodloadImgs

Load anns with the specified ids. :param ids (int array) : integer ids specifying img :return: imgs (object array) : lo

data/coco/PythonAPI/pycocotools/coco.py:222

↓ 3 callersFunction_nms

(heat, kernel=1)

models/py_utils/kp_utils.py:51

↓ 3 callersFunction_sigmoid

(x)

models/py_utils/kp_utils.py:196

↓ 3 callersFunction_topk

(scores, K=20)

models/py_utils/kp_utils.py:64

↓ 3 callersFunctiondraw_gaussian

(heatmap, center, radius, k=1, delte=6)

sample/utils.py:12

↓ 3 callersMethodimage_file

(self, ind)

db/base.py:80

↓ 3 callersMethodmodel

(self)

db/base.py:45

↓ 3 callersMethodset_lr

(self, lr)

nnet/py_factory.py:116

↓ 3 callersMethodupdate_config

(self, new)

db/base.py:72

↓ 2 callersMethod__init__

(self, model, loss)

nnet/py_factory.py:13

↓ 2 callersMethod__init__

( self, db, n, nstack, dims, modules, out_dim, pre=None, cnv_dim=256, make_tl_layer=make_tl_l

models/py_utils/kp.py:77

↓ 2 callersMethod__init__

(self, k, inp_dim, out_dim, stride=1, with_bn=True)

models/py_utils/utils.py:36

↓ 2 callersFunction_get_border

(border, size)

sample/utils.py:49

↓ 2 callersMethod_prepare

Prepare ._gts and ._dts for evaluation based on params :return: None

data/coco/PythonAPI/pycocotools/cocoeval.py:85

↓ 2 callersMethodannToRLE

Convert annotation which can be polygons, uncompressed RLE to RLE. :return: binary mask (numpy 2D array)

data/coco/PythonAPI/pycocotools/coco.py:405

↓ 2 callersFunctionblend_

(alpha, image1, image2)

utils/image.py:16

↓ 2 callersMethodcreateIndex

(self)

data/coco/PythonAPI/pycocotools/coco.py:90

↓ 2 callersFunctioncrop_image

(image, center, size)

utils/image.py:42

↓ 2 callersMethodeval_mode

(self)

nnet/py_factory.py:74

↓ 2 callersMethodgather

(self, outputs, output_device)

models/py_utils/data_parallel.py:82

↓ 2 callersMethodgetCatIds

filtering parameters. default skips that filter. :param catNms (str array) : get cats for given cat names :param supNms (str

data/coco/PythonAPI/pycocotools/coco.py:157

↓ 2 callersMethodimage_ids

(self, ind)

db/base.py:77

↓ 2 callersFunctioninit_parallel_jobs

(dbs, queue, fn, data_aug)

train.py:61

↓ 2 callersMethodloadCats

Load cats with the specified ids. :param ids (int array) : integer ids specifying cats :return: cats (object array) : l

data/coco/PythonAPI/pycocotools/coco.py:211

↓ 2 callersMethodload_params

(self, iteration)

nnet/py_factory.py:127

↓ 2 callersFunctionnormalize_

(image, mean, std)

utils/image.py:8

↓ 2 callersFunctionscatter

r""" Slices variables into approximately equal chunks and distributes them across given GPUs. Duplicates references to objects that are no

models/py_utils/scatter_gather.py:6

↓ 2 callersFunctionscatter_kwargs

r"""Scatter with support for kwargs dictionary

models/py_utils/scatter_gather.py:28

↓ 2 callersMethodsummarize

Compute and display summary metrics for evaluation results. Note this functin can *only* be applied on the default parameter setting

data/coco/PythonAPI/pycocotools/cocoeval.py:652

↓ 2 callersMethodsummarize_fd

Compute and display summary metrics for evaluation results. Note this functin can *only* be applied on the default parameter setting

data/coco/PythonAPI/pycocotools/cocoeval.py:725

↓ 2 callersMethodtrain

(self, xs, ys, **kwargs)

nnet/py_factory.py:77

↓ 2 callersMethodtrain_mode

(self)

nnet/py_factory.py:71

↓ 1 callersFunction_clip_detections

(image, detections)

sample/coco.py:38

↓ 1 callersMethod_extract_data

(self)

db/coco.py:101

↓ 1 callersFunction_full_image_crop

(image, detections)

sample/coco.py:12

↓ 1 callersMethod_load_coco_data

(self)

db/coco.py:82

↓ 1 callersMethod_load_data

(self)

db/coco.py:71

↓ 1 callersFunction_rescale_dets

(detections, ratios, borders, sizes)

test/coco.py:20

↓ 1 callersFunction_resize_image

(image, detections, size)

sample/coco.py:25

↓ 1 callersMethod_test

(self, *xs, **kwargs)

models/py_utils/kp.py:240

↓ 1 callersMethod_train

(self, *xs)

models/py_utils/kp.py:187

↓ 1 callersMethodaccumulate

Accumulate per image evaluation results and store the result in self.eval :param p: input params for evaluation :return: None

data/coco/PythonAPI/pycocotools/cocoeval.py:438

↓ 1 callersMethodaccumulate_fd

Accumulate per image evaluation results and store the result in self.eval :param p: input params for evaluation :return: None

data/coco/PythonAPI/pycocotools/cocoeval.py:545

↓ 1 callersMethodclass_name

(self, cid)

db/coco.py:96

↓ 1 callersFunctioncolor_jittering_

(data_rng, image)

utils/image.py:33

↓ 1 callersMethodconvert_to_coco

(self, all_bboxes)

db/coco.py:144

↓ 1 callersMethoddetections

(self, ind)

db/coco.py:135

↓ 1 callersMethodevaluate

Run per image evaluation on given images and store results (a list of dict) in self.evalImgs :return: None

data/coco/PythonAPI/pycocotools/cocoeval.py:122

↓ 1 callersMethodevaluate

(self, name)

db/base.py:90

↓ 1 callersMethodevaluate_fd

Run per image evaluation on given images and store results (a list of dict) in self.evalImgs :return: None

data/coco/PythonAPI/pycocotools/cocoeval.py:164

↓ 1 callersFunctiongaussian2D

(shape, sigma=1)

sample/utils.py:4

↓ 1 callersFunctiongaussian_radius

(det_size, min_overlap)

sample/utils.py:27

↓ 1 callersFunctiongrayscale

(image)

utils/image.py:5

↓ 1 callersFunctionlighting_

(data_rng, image, alphastd, eigval, eigvec)

utils/image.py:12

↓ 1 callersMethodloadNumpyAnnotations

Convert result data from a numpy array [Nx7] where each row contains {imageID,x1,y1,w,h,score,class} :param data (numpy.ndarray)

data/coco/PythonAPI/pycocotools/coco.py:382

↓ 1 callersMethodloadRes

Load result file and return a result api object. :param resFile (str) : file name of result file :return: res (obj)

data/coco/PythonAPI/pycocotools/coco.py:297

↓ 1 callersMethodload_pretrained_params

(self, pretrained_model)

nnet/py_factory.py:121

↓ 1 callersFunctionmake_br_layer

(dim)

models/py_utils/kp_utils.py:17

↓ 1 callersFunctionmake_cnv_layer

(inp_dim, out_dim)

models/py_utils/kp_utils.py:38

↓ 1 callersFunctionmake_ct_layer

(dim)

models/py_utils/kp_utils.py:20

↓ 1 callersFunctionmake_dirs

(directories)

test.py:34

↓ 1 callersFunctionmake_hg_layer

(kernel, dim0, dim1, mod, layer=convolution, **kwargs)

models/CenterNet-52.py:122

↓ 1 callersFunctionmake_inter_layer

(dim)

models/py_utils/kp_utils.py:35

↓ 1 callersFunctionmake_merge_layer

(dim)

models/py_utils/kp_utils.py:11

↓ 1 callersFunctionmake_pool_layer

(dim)

models/py_utils/kp_utils.py:23

↓ 1 callersFunctionmake_tl_layer

(dim)

models/py_utils/kp_utils.py:14

↓ 1 callersFunctionmake_unpool_layer

(dim)

models/py_utils/kp_utils.py:26

↓ 1 callersMethodparallel_apply

(self, replicas, inputs, kwargs)

models/py_utils/data_parallel.py:79

↓ 1 callersFunctionparse_args

()

train.py:25

↓ 1 callersFunctionparse_args

()

test.py:19

↓ 1 callersFunctionrandom_crop

(image, detections, random_scales, view_size, border=64)

sample/utils.py:55

↓ 1 callersMethodreplicate

(self, module, device_ids)

models/py_utils/data_parallel.py:73

↓ 1 callersFunctionsample_data

(db, k_ind, data_aug=True, debug=False)

sample/coco.py:198

↓ 1 callersMethodsave_params

(self, iteration)

nnet/py_factory.py:134

↓ 1 callersMethodscatter

(self, inputs, kwargs, device_ids, chunk_sizes)

models/py_utils/data_parallel.py:76

↓ 1 callersFunctionscatter_map

(obj)

models/py_utils/scatter_gather.py:13

↓ 1 callersMethodsetDetParams

(self)

data/coco/PythonAPI/pycocotools/cocoeval.py:780

↓ 1 callersMethodsetKpParams

(self)

data/coco/PythonAPI/pycocotools/cocoeval.py:792

↓ 1 callersMethodshuffle_inds

(self, quiet=False)

db/base.py:93

↓ 1 callersFunctionstdout_to_tqdm

()

utils/tqdm.py:17

↓ 1 callersFunctiontest

(db, split, testiter, debug=False, suffix=None)

test.py:39

↓ 1 callersMethodtest

(self, xs, **kwargs)

nnet/py_factory.py:111

↓ 1 callersFunctiontesting

(db, nnet, result_dir, debug=False)

test/coco.py:320

↓ 1 callersFunctiontrain

(training_dbs, validation_db, start_iter=0)

train.py:68

↓ 1 callersMethodvalidate

(self, xs, ys, **kwargs)

nnet/py_factory.py:97

nnet/py_factory.py:27

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