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Functions1,446 in github.com/alpha2phi/python-apps

↓ 2 callersFunction__Pyx_Import
Import */
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/_mask.c:13597
↓ 2 callersFunction__Pyx_Import
Import */
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/pycocotools/_mask.c:13597
↓ 2 callersFunction__Pyx_IsSubtype
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/_mask.c:15126
↓ 2 callersFunction__Pyx_IsSubtype
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/pycocotools/_mask.c:15126
↓ 2 callersFunction__Pyx_Is_Little_Endian
IsLittleEndian */
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/_mask.c:11989
↓ 2 callersFunction__Pyx_Is_Little_Endian
IsLittleEndian */
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/pycocotools/_mask.c:11989
↓ 2 callersFunction__Pyx_ListComp_Append
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/_mask.c:1536
↓ 2 callersFunction__Pyx_ListComp_Append
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/pycocotools/_mask.c:1536
↓ 2 callersFunction__Pyx_PyFunction_FastCallNoKw
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/_mask.c:11182
↓ 2 callersFunction__Pyx_PyFunction_FastCallNoKw
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/pycocotools/_mask.c:11182
↓ 2 callersFunction__Pyx_PyIndex_AsSsize_t
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/_mask.c:15418
↓ 2 callersFunction__Pyx_PyIndex_AsSsize_t
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/pycocotools/_mask.c:15418
↓ 2 callersFunction__Pyx_PyInt_AddObjC
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/_mask.c:11598
↓ 2 callersFunction__Pyx_PyInt_AddObjC
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/pycocotools/_mask.c:11598
↓ 2 callersFunction__Pyx_PyList_Append
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/_mask.c:1404
↓ 2 callersFunction__Pyx_PyList_Append
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/pycocotools/_mask.c:1404
↓ 2 callersFunction__Pyx_PyObject_GetAttrStrNoError
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/_mask.c:13436
↓ 2 callersFunction__Pyx_PyObject_GetAttrStrNoError
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/pycocotools/_mask.c:13436
↓ 2 callersFunction__Pyx_RaiseBufferFallbackError
BufferFallbackError */
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/_mask.c:13205
↓ 2 callersFunction__Pyx_RaiseBufferFallbackError
BufferFallbackError */
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/pycocotools/_mask.c:13205
↓ 2 callersFunction__Pyx_RefNannyImportAPI
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/_mask.c:10823
↓ 2 callersFunction__Pyx_RefNannyImportAPI
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/pycocotools/_mask.c:10823
↓ 2 callersFunction__Pyx_div_Py_ssize_t
None */
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/_mask.c:13211
↓ 2 callersFunction__Pyx_div_Py_ssize_t
None */
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/pycocotools/_mask.c:13211
↓ 2 callersFunction__Pyx_get_object_dict_version
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/_mask.c:11793
↓ 2 callersFunction__Pyx_get_object_dict_version
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/pycocotools/_mask.c:11793
↓ 2 callersFunction__Pyx_setup_reduce
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/_mask.c:13468
↓ 2 callersFunction__Pyx_setup_reduce
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/pycocotools/_mask.c:13468
↓ 2 callersFunction__Pyx_setup_reduce_is_named
SetupReduce */
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/_mask.c:13452
↓ 2 callersFunction__Pyx_setup_reduce_is_named
SetupReduce */
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/pycocotools/_mask.c:13452
↓ 2 callersMethod__init__
(self, pred_idx=-1, label_idx=-1, name='RPNAcc')
serving-ml-models/backend/detection/RetinaFace/rcnn/core/metric.py:16
↓ 2 callersMethod__init__
(self, pred_idx=-1, label_idx=-1, name='RPNAcc')
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/core/metric.py:16
↓ 2 callersFunction__pyx_bisect_code_objects
CodeObjectCache */
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/_mask.c:13704
↓ 2 callersFunction__pyx_bisect_code_objects
CodeObjectCache */
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/pycocotools/_mask.c:13704
↓ 2 callersFunction_mask_umap
(mask_targets, mask_labels, mask_inds)
serving-ml-models/backend/detection/RetinaFace/rcnn/io/rcnn.py:399
↓ 2 callersFunction_mask_umap
(mask_targets, mask_labels, mask_inds)
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/io/rcnn.py:399
↓ 2 callersFunction_mkanchors
Given a vector of widths (ws) and heights (hs) around a center (x_ctr, y_ctr), output a set of anchors (windows).
serving-ml-models/backend/detection/RetinaFace/rcnn/processing/generate_anchor.py:99
↓ 2 callersFunction_mkanchors
Given a vector of widths (ws) and heights (hs) around a center (x_ctr, y_ctr), output a set of anchors (windows).
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/processing/generate_anchor.py:99
↓ 2 callersFunction_whctrs
Return width, height, x center, and y center for an anchor (window).
serving-ml-models/backend/detection/RetinaFace/rcnn/processing/generate_anchor.py:87
↓ 2 callersFunction_whctrs
Return width, height, x center, and y center for an anchor (window).
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/processing/generate_anchor.py:87
↓ 2 callersMethodannToRLE
Convert annotation which can be polygons, uncompressed RLE to RLE. :return: binary mask (numpy 2D array)
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/coco.py:449
↓ 2 callersMethodannToRLE
Convert annotation which can be polygons, uncompressed RLE to RLE. :return: binary mask (numpy 2D array)
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/pycocotools/coco.py:449
↓ 2 callersMethodappend_flipped_images
append flipped images to an roidb flip boxes coordinates, images will be actually flipped when loading into network :param ro
serving-ml-models/backend/detection/RetinaFace/rcnn/dataset/imdb.py:170
↓ 2 callersMethodappend_flipped_images
append flipped images to an roidb flip boxes coordinates, images will be actually flipped when loading into network :param ro
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/dataset/imdb.py:170
↓ 2 callersMethodassign_anchor_fpn
(self, gt_label, anchors, landma
serving-ml-models/backend/detection/RetinaFace/rcnn/PY_OP/cascade_refine.py:90
↓ 2 callersMethodassign_anchor_fpn
(self, gt_label, anchors, landma
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/PY_OP/cascade_refine.py:90
↓ 2 callersMethodbbox_pred
Transform the set of class-agnostic boxes into class-specific boxes by applying the predicted offsets (box_deltas) :param boxes: !i
serving-ml-models/backend/detection/RetinaFace/retinaface.py:727
↓ 2 callersFunctionclip_boxes
Clip boxes to image boundaries. :param boxes: [N, 4* num_classes] :param im_shape: tuple of 2 :return: [N, 4* num_classes]
serving-ml-models/backend/detection/RetinaFace/rcnn/processing/bbox_transform.py:37
↓ 2 callersFunctionclip_boxes
Clip boxes to image boundaries. :param boxes: [N, 4* num_classes] :param im_shape: tuple of 2 :return: [N, 4* num_classes]
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/processing/bbox_transform.py:41
↓ 2 callersFunctioncolor_aug
(img, x)
serving-ml-models/backend/detection/RetinaFace/rcnn/io/image.py:38
↓ 2 callersFunctioncolor_aug
(img, x)
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/io/image.py:38
↓ 2 callersFunctionconvert_context
:param params: dict of str to NDArray :param ctx: the context to convert to :return: dict of str of NDArray with context ctx
serving-ml-models/backend/detection/RetinaFace/rcnn/utils/load_model.py:27
↓ 2 callersFunctionconvert_context
:param params: dict of str to NDArray :param ctx: the context to convert to :return: dict of str of NDArray with context ctx
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/utils/load_model.py:27
↓ 2 callersFunctioncpu_nms_wrapper
(thresh)
serving-ml-models/backend/detection/RetinaFace/rcnn/processing/nms.py:16
↓ 2 callersFunctioncpu_nms_wrapper
(thresh)
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/processing/nms.py:16
↓ 2 callersMethodcreateIndex
(self)
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/coco.py:90
↓ 2 callersMethodcreateIndex
(self)
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/pycocotools/coco.py:90
↓ 2 callersFunctioncreate_time_series
(dff, axis_type, title)
sagemaker-dash/tutorials/app15.py:136
↓ 2 callersMethoddetect
(self, img, threshold=0.5, scales=[1.0], do_flip=False)
serving-ml-models/backend/detection/RetinaFaceAntiCov/retinaface_cov.py:254
↓ 2 callersMethodevaluate_detections
(self, detections)
serving-ml-models/backend/detection/RetinaFace/rcnn/dataset/imdb.py:49
↓ 2 callersMethodevaluate_detections
(self, detections)
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/dataset/imdb.py:49
↓ 2 callersFunctionf
()
debugging/python/loop_subprocess.py:5
↓ 2 callersFunctionfilter_roidb
remove roidb entries without usable rois
serving-ml-models/backend/detection/RetinaFace/rcnn/utils/load_data.py:46
↓ 2 callersFunctionfilter_roidb
remove roidb entries without usable rois
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/utils/load_data.py:46
↓ 2 callersMethodfindDistance
(self, p1, p2, img, draw=True, r=15, t=3)
computer-vision/hand_tracking.py:91
↓ 2 callersMethodforward
(self, data_batch, is_train=None)
serving-ml-models/backend/detection/RetinaFace/rcnn/core/module.py:193
↓ 2 callersMethodforward
(self, data_batch, is_train=None)
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/core/module.py:193
↓ 2 callersMethodgetImgIds
Get img ids that satisfy given filter conditions. :param imgIds (int array) : get imgs for given ids :param catIds (int array
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/coco.py:193
↓ 2 callersMethodgetImgIds
Get img ids that satisfy given filter conditions. :param imgIds (int array) : get imgs for given ids :param catIds (int array
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/pycocotools/coco.py:193
↓ 2 callersFunctiongetTokenPayload
(token)
hackernews/backend-nodejs/src/utils.js:4
↓ 2 callersFunctiongetUserId
(req, authToken)
hackernews/backend-nodejs/src/utils.js:8
↓ 2 callersMethodget_batch
(self)
serving-ml-models/backend/detection/RetinaFace/rcnn/core/loader.py:192
↓ 2 callersMethodget_batch
(self)
serving-ml-models/backend/detection/RetinaFace/rcnn/core/loader.py:499
↓ 2 callersMethodget_batch
(self)
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/core/loader.py:192
↓ 2 callersMethodget_batch
(self)
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/core/loader.py:499
↓ 2 callersMethodget_conn_str
Return the connection string.
excel-ingester/loader/__init__.py:99
↓ 2 callersFunctionget_crop_batch
prototype for rpn batch: data, im_info, gt_boxes :param roidb: ['image', 'flipped'] + ['gt_boxes', 'boxes', 'gt_classes'] :return: data,
serving-ml-models/backend/detection/RetinaFace/rcnn/io/rpn.py:72
↓ 2 callersFunctionget_crop_batch
prototype for rpn batch: data, im_info, gt_boxes :param roidb: ['image', 'flipped'] + ['gt_boxes', 'boxes', 'gt_classes'] :return: data,
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/io/rpn.py:72
↓ 2 callersFunctionget_out
(conv_fpn_feat, prefix, stride, landmark=False, lr_mult=1.0)
serving-ml-models/backend/detection/RetinaFace/rcnn/symbol/symbol_ssh.py:512
↓ 2 callersFunctionget_out
(conv_fpn_feat, prefix, stride, landmark=False, lr_mult=1.0)
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/symbol/symbol_ssh.py:512
↓ 2 callersMethodget_outputs
(self, merge_multi_context=True)
serving-ml-models/backend/detection/RetinaFace/rcnn/core/module.py:242
↓ 2 callersMethodget_outputs
(self, merge_multi_context=True)
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/core/module.py:242
↓ 2 callersMethodget_params
(self)
serving-ml-models/backend/detection/RetinaFace/rcnn/core/module.py:86
↓ 2 callersFunctionget_sym_by_name
(name, sym_buffer)
serving-ml-models/backend/detection/RetinaFace/rcnn/symbol/symbol_common.py:327
↓ 2 callersFunctionget_sym_by_name
(name, sym_buffer)
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/symbol/symbol_common.py:327
↓ 2 callersFunctionget_sym_train
(sym)
serving-ml-models/backend/detection/RetinaFace/rcnn/symbol/symbol_common.py:735
↓ 2 callersFunctionget_sym_train
(sym)
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/symbol/symbol_common.py:735
↓ 2 callersFunctionglobal_store
(value)
sagemaker-dash/tutorials/app17.py:70
↓ 2 callersFunctionim_proposal
(predictor, data_batch, data_names, scale)
serving-ml-models/backend/detection/RetinaFace/rcnn/core/tester.py:76
↓ 2 callersFunctionim_proposal
(predictor, data_batch, data_names, scale)
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/core/tester.py:76
↓ 2 callersFunctionload_gt_roidb
load ground truth roidb
serving-ml-models/backend/detection/RetinaFace/rcnn/utils/load_data.py:7
↓ 2 callersMethodload_rpn_roidb
turn rpn detection boxes into roidb :param gt_roidb: [image_index]['boxes', 'gt_classes', 'gt_overlaps', 'flipped'] :return:
serving-ml-models/backend/detection/RetinaFace/rcnn/dataset/imdb.py:85
↓ 2 callersMethodload_rpn_roidb
turn rpn detection boxes into roidb :param gt_roidb: [image_index]['boxes', 'gt_classes', 'gt_overlaps', 'flipped'] :return:
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/dataset/imdb.py:85
↓ 2 callersMethodmain
(self)
gui-apps/app_remi.py:7
↓ 2 callersFunctionmerge_roidb
roidb are list, concat them together
serving-ml-models/backend/detection/RetinaFace/rcnn/utils/load_data.py:38
↓ 2 callersFunctionmerge_roidb
roidb are list, concat them together
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/utils/load_data.py:38
↓ 2 callersFunctionnms
greedily select boxes with high confidence and overlap with current maximum <= thresh rule out overlap >= thresh :param dets: [[x1, y1, x
serving-ml-models/backend/detection/RetinaFace/rcnn/processing/nms.py:33
↓ 2 callersFunctionnms
greedily select boxes with high confidence and overlap with current maximum <= thresh rule out overlap >= thresh :param dets: [[x1, y1, x
serving-ml-models/backend/detection/RetinaFaceAntiCov/rcnn/processing/nms.py:33
↓ 2 callersMethodregister_builder
(self, key, builder)
excel-ingester/loader/__init__.py:45
↓ 2 callersFunctionrleArea
serving-ml-models/backend/detection/RetinaFace/rcnn/pycocotools/maskApi.c:72
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