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Functions538 in github.com/amirassov/kaggle-imaterialist

⨍ Functions 538◇ Types & classes 90
Methodprepare_single
(img, scale, flip, proposal=None)
mmdetection/mmdet/datasets/custom.py:282
Functionpy_sigmoid_focal_loss
(pred, target, weight, gamma=2.0
mmdetection/mmdet/core/loss/losses.py:36
Methodregister_module
(self, cls)
mmdetection/mmdet/models/registry.py:33
Functionrle_decode
(rle, h: int, w: int)
mmdetection/mmdet/datasets/utils.py:119
Functionroi2bbox
(rois)
mmdetection/mmdet/core/bbox/transforms.py:128
Functionroi_align_backward_cuda
mmdetection/mmdet/ops/roi_align/src/roi_align_cuda.cpp:55
Functionroi_align_forward_cuda
mmdetection/mmdet/ops/roi_align/src/roi_align_cuda.cpp:27
Functionroi_pooling_backward_cuda
mmdetection/mmdet/ops/roi_pool/src/roi_pool_cuda.cpp:54
Functionroi_pooling_forward_cuda
mmdetection/mmdet/ops/roi_pool/src/roi_pool_cuda.cpp:26
Methodset_epoch
(self, epoch)
mmdetection/mmdet/datasets/loader/sampler.py:158
Functionshow_ann
(coco, img, ann_info)
mmdetection/mmdet/datasets/utils.py:70
Functionshow_result
Visualize the detection results on the image. Args: img (str or np.ndarray): Image filename or loaded image. result (tuple[list]
mmdetection/mmdet/apis/inference.py:103
Methodshow_result
(self, data, result, img_norm_cfg,
mmdetection/mmdet/models/detectors/base.py:88
Methodshow_result
(self, data, result, img_norm_cfg, **kwargs)
mmdetection/mmdet/models/detectors/cascade_rcnn.py:367
Methodsimple_test
(self, img, img_meta, proposals=None, rescale=False)
mmdetection/mmdet/models/detectors/htc.py:270
Methodsimple_test
(self, img, img_meta, **kwargs)
mmdetection/mmdet/models/detectors/ensemble_htc.py:12
Methodsimple_test
Test without augmentation.
mmdetection/mmdet/models/detectors/two_stage.py:192
Methodsimple_test
(self, img, img_meta, proposals=None, rescale=False)
mmdetection/mmdet/models/detectors/cascade_rcnn.py:240
Methodsimple_test
(self, img, img_meta, rescale=False)
mmdetection/mmdet/models/detectors/single_stage.py:58
Functionsoft_nms
(dets, iou_thr, method='linear', sigma=0.5, min_score=1e-3)
mmdetection/mmdet/ops/nms/nms_wrapper.py:52
Functionsplit_combined_polys
Split the combined 1-D polys into masks. A mask is represented as a list of polys, and a poly is represented as a 1-D array. In dataset, all
mmdetection/mmdet/core/mask/utils.py:4
Methodtargets_as_params
(self)
mmdetection/mmdet/datasets/transforms.py:203
Functiontpfp_default
Check if detected bboxes are true positive or false positive. Args: det_bbox (ndarray): the detected bbox gt_bboxes (ndarray): gr
mmdetection/mmdet/core/evaluation/mean_ap.py:137
Functiontpfp_imagenet
Check if detected bboxes are true positive or false positive. Args: det_bbox (ndarray): the detected bbox gt_bboxes (ndarray): gr
mmdetection/mmdet/core/evaluation/mean_ap.py:56
Methodtrain
(self, mode=True)
mmdetection/mmdet/models/backbones/resnet.py:472
Methodtrain
(self, mode=True)
mmdetection/mmdet/models/shared_heads/res_layer.py:64
Functionuniform_init
(module, a=0, b=1, bias=0)
mmdetection/mmdet/models/utils/weight_init.py:21
Functionunmap
Unmap a subset of item (data) back to the original set of items (of size count)
mmdetection/mmdet/core/utils/misc.py:27
Functionweighted_binary_cross_entropy
(pred, label, weight, avg_factor=None)
mmdetection/mmdet/core/loss/losses.py:26
Functionweighted_nll_loss
(pred, label, weight, avg_factor=None)
mmdetection/mmdet/core/loss/losses.py:9
Functionweighted_sigmoid_focal_loss
(pred, target, weight,
mmdetection/mmdet/core/loss/losses.py:59
Methodwith_bbox
(self)
mmdetection/mmdet/models/detectors/base.py:29
Methodwith_mask
(self)
mmdetection/mmdet/models/detectors/base.py:33
Methodwith_neck
(self)
mmdetection/mmdet/models/detectors/base.py:21
Methodwith_rpn
(self)
mmdetection/mmdet/models/detectors/two_stage.py:60
Methodwith_rpn
(self)
mmdetection/mmdet/models/detectors/cascade_rcnn.py:89
Methodwith_semantic
(self)
mmdetection/mmdet/models/detectors/htc.py:38
Methodwith_shared_head
(self)
mmdetection/mmdet/models/detectors/base.py:25
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