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Functions1,672 in github.com/Angzz/panoptic-fpn-gluon

↓ 5 callersMethod_slice
since some stages won't see partial anchors, so we have to slice the correct targets
gluoncv/model_zoo/yolo/yolo_target.py:134
↓ 5 callersMethod_sync_transform
(self, img, mask)
gluoncv/data/segbase.py:46
↓ 5 callersMethod_val_sync_transform
(self, img, mask)
gluoncv/data/segbase.py:24
↓ 5 callersMethodall_blocking
--------------------------------------------------------------- @brief returns true if all children is blocking */
scripts/deployment/cpp-inference/src/clipp.hpp:3163
↓ 5 callersMethodevaluate
evaluating network with inputs and targets
gluoncv/model_zoo/segbase.py:78
↓ 5 callersFunctionfwd_to_unsigned_int
/ * @brief forwards string to first non-whitespace char; * std string -> unsigned conv yields max value, but we want 0; * also checks
scripts/deployment/cpp-inference/src/clipp.hpp:297
↓ 5 callersFunctionget_affine_transform
(center, scale, rot, output_size,
gluoncv/data/transforms/pose.py:90
↓ 5 callersFunctionget_fcn
r"""FCN model from the paper `"Fully Convolutional Network for semantic segmentation" <https://people.eecs.berkeley.edu/~jonlong/long_shelhamer_fc
gluoncv/model_zoo/fcn.py:93
↓ 5 callersFunctionget_psp
r"""Pyramid Scene Parsing Network Parameters ---------- dataset : str, default pascal_voc The dataset that model pretrained on. (p
gluoncv/model_zoo/pspnet.py:145
↓ 5 callersMethodinfer_shape
(self, in_shape)
gluoncv/nn/sampler.py:343
↓ 5 callersMethodundo
scripts/deployment/cpp-inference/src/clipp.hpp:3014
↓ 5 callersMethodupdate
(self, labels, preds)
scripts/instance/mask_rcnn/train_mask_rcnn.py:99
↓ 4 callersFunction_PSP1x1Conv
(in_channels, out_channels, norm_layer, norm_kwargs)
gluoncv/model_zoo/pspnet.py:75
↓ 4 callersMethod__init__
(self, ratio, min_samples=0, thresh=0.5)
gluoncv/nn/sampler.py:49
↓ 4 callersFunction_add_sigmoid_layer
(out, channels, norm_layer, norm_kwargs)
gluoncv/model_zoo/residual_attentionnet.py:114
↓ 4 callersFunction_conv3x3
(channels, stride, in_channels)
gluoncv/model_zoo/cifarresnet.py:34
↓ 4 callersFunction_make_C
(channels_7x7, prefix, norm_layer, norm_kwargs)
gluoncv/model_zoo/inception.py:80
↓ 4 callersFunction_transform_label
(label, height=None, width=None)
gluoncv/data/recordio/detection.py:7
↓ 4 callersMethodblank_lines_before_paragraph
scripts/deployment/cpp-inference/src/clipp.hpp:5682
↓ 4 callersMethodblocked
scripts/deployment/cpp-inference/src/clipp.hpp:4357
↓ 4 callersMethodcommon_flag_prefix
--------------------------------------------------------------- @brief returns longest common prefix of all flags */
scripts/deployment/cpp-inference/src/clipp.hpp:3394
↓ 4 callersMethoddemo
(self, x)
gluoncv/model_zoo/pspnet.py:64
↓ 4 callersFunctiondoc_column
scripts/deployment/cpp-inference/src/clipp.hpp:5267
↓ 4 callersFunctionexport_block
Helper function to export a HybridBlock to symbol JSON to be used by `SymbolBlock.imports`, `mxnet.mod.Module` or the C++ interface.. Paramet
gluoncv/utils/export_helper.py:39
↓ 4 callersFunctionget_densenet
r"""Densenet-BC model from the `"Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf>`_ paper. Parameters ---
gluoncv/model_zoo/densenet.py:131
↓ 4 callersFunctionget_mask_rcnn
r"""Utility function to return mask rcnn networks. Parameters ---------- name : str Model name. dataset : str The nam
gluoncv/model_zoo/mask_rcnn/mask_rcnn.py:303
↓ 4 callersFunctionget_max_pred
(batch_heatmaps)
gluoncv/data/transforms/pose.py:167
↓ 4 callersFunctionget_mobilenet_v2
r"""MobileNetV2 model from the `"Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation"
gluoncv/model_zoo/mobilenet.py:293
↓ 4 callersFunctionget_nasnet
r"""NASNet A model from `"Learning Transferable Architectures for Scalable Image Recognition" <https://arxiv.org/abs/1707.07012>`_ paper
gluoncv/model_zoo/nasnet.py:672
↓ 4 callersMethodignore_newline_chars
scripts/deployment/cpp-inference/src/clipp.hpp:5613
↓ 4 callersMethodinvalidate
scripts/deployment/cpp-inference/src/clipp.hpp:3929
↓ 4 callersMethodis_alternative
scripts/deployment/cpp-inference/src/clipp.hpp:5918
↓ 4 callersFunctionlast_column
scripts/deployment/cpp-inference/src/clipp.hpp:5283
↓ 4 callersMethodlast_column
scripts/deployment/cpp-inference/src/clipp.hpp:5572
↓ 4 callersMethodplot
r"""Update the training history Parameters --------- labels: list of str List of label names to plot. col
gluoncv/utils/plot_history.py:35
↓ 4 callersFunctiontest_net_sync
(net, criterion, sync, nDevices)
tests/unittests/test_utils_parallel.py:25
↓ 4 callersFunctiontry_import_cv2
Try import cv2 at runtime. Returns ------- cv2 module if found. Raise ImportError otherwise
gluoncv/utils/filesystem.py:43
↓ 4 callersFunctionvalue
scripts/deployment/cpp-inference/src/clipp.hpp:2164
↓ 4 callersFunctionwith_prefix
scripts/deployment/cpp-inference/src/clipp.hpp:3809
↓ 4 callersFunctionwith_prefixes_short_long
scripts/deployment/cpp-inference/src/clipp.hpp:3862
↓ 4 callersMethodwrap_hard
@brief go to new line, and start a new paragraph */
scripts/deployment/cpp-inference/src/clipp.hpp:5639
↓ 4 callersFunctionwrite_line
(img_path, im_shape, boxes, ids, idx)
tests/unittests/test_data_datasets.py:121
↓ 3 callersFunction_ASPPConv
(in_channels, out_channels, atrous_rate, norm_layer, norm_kwargs)
gluoncv/model_zoo/deeplabv3.py:103
↓ 3 callersMethod__init__
(self)
scripts/detection/faster_rcnn/train_faster_rcnn.py:114
↓ 3 callersMethod__init__
(self, **kwargs)
gluoncv/model_zoo/mobilenet.py:48
↓ 3 callersMethod__init__
(self, block, layers, channels, classes=10, norm_layer=BatchNorm, norm_kwargs=None, **kwargs)
gluoncv/model_zoo/cifarresnet.py:167
↓ 3 callersMethod__init__
(self, in_channels, atrous_rates, norm_layer, norm_kwargs, height=60, width=60)
gluoncv/model_zoo/deeplabv3.py:132
↓ 3 callersFunction_crop_image
(img, h0, h1, w0, w1)
gluoncv/model_zoo/segbase.py:222
↓ 3 callersFunction_make_A
(pool_features, prefix, norm_layer, norm_kwargs)
gluoncv/model_zoo/inception.py:52
↓ 3 callersFunction_make_fire_conv
(channels, kernel_size, padding=0)
gluoncv/model_zoo/squeezenet.py:40
↓ 3 callersMethod_mixup_forward
(self, F, pred, label1, label2, lam, sample_weight=None)
gluoncv/loss.py:319
↓ 3 callersFunction_pad_image
(img, crop_size=480)
gluoncv/model_zoo/segbase.py:203
↓ 3 callersFunction_parse_network
Parse network with specified outputs and other arguments. Parameters ---------- network : str or HybridBlock or Symbol Logic chai
gluoncv/nn/feature.py:16
↓ 3 callersMethod_print_summary_map
Print summary of certain result map.
tests/lint.py:36
↓ 3 callersFunctionaffine_transform
(pt, t)
gluoncv/data/transforms/pose.py:127
↓ 3 callersMethodall_optional
@brief returns true if all children are optional (=non-required) */
scripts/deployment/cpp-inference/src/clipp.hpp:3138
↓ 3 callersMethodat
@brief position of the match within the subject string */
scripts/deployment/cpp-inference/src/clipp.hpp:111
↓ 3 callersMethodconflict
scripts/deployment/cpp-inference/src/clipp.hpp:4358
↓ 3 callersFunctiondarknet53
Darknet v3 53 layer network. Reference: https://arxiv.org/pdf/1804.02767.pdf. Parameters ---------- norm_layer : object Norma
gluoncv/model_zoo/yolo/darknet.py:164
↓ 3 callersFunctiondefault_logger
A logger used to output seed information to nosetests logs.
tests/unittests/common.py:70
↓ 3 callersFunctiondefine_G
(output_nc, ngf, which_model_netG, use_dropout=False)
scripts/gan/cycle_gan/train_cgan.py:288
↓ 3 callersFunctiondetector_to_simple_pose
(img, class_IDs, scores, bounding_boxs, output_shape=(256, 192), scale=1.25, ctx=m
gluoncv/data/transforms/pose.py:252
↓ 3 callersFunctiondoc_label
/ * * @brief prints first flag or value label of a parameter * *****************************************************************************/
scripts/deployment/cpp-inference/src/clipp.hpp:6725
↓ 3 callersFunctionfirst_integer_match
scripts/deployment/cpp-inference/src/clipp.hpp:993
↓ 3 callersFunctionget_cifar_wide_resnet
r"""ResNet V1 model from `"Deep Residual Learning for Image Recognition" <http://arxiv.org/abs/1512.03385>`_ paper. ResNet V2 model from `"Ide
gluoncv/model_zoo/cifarwideresnet.py:157
↓ 3 callersFunctionget_path_pairs
(img_folder, mask_folder)
gluoncv/data/cityscapes.py:81
↓ 3 callersFunctionheatmap_to_coord
(heatmaps, bbox_list)
gluoncv/data/transforms/pose.py:271
↓ 3 callersFunctionignore_newline_chars
scripts/deployment/cpp-inference/src/clipp.hpp:5483
↓ 3 callersFunctionimport_try_install
Try import the specified package. If the package not installed, try use pip to install and import if success. Parameters ---------- p
gluoncv/utils/filesystem.py:55
↓ 3 callersMethodis_last_in_path
scripts/deployment/cpp-inference/src/clipp.hpp:2800
↓ 3 callersMethodis_singleton
scripts/deployment/cpp-inference/src/clipp.hpp:5915
↓ 3 callersFunctionmse_loss
(input,target)
scripts/gan/srgan/train_srgan.py:213
↓ 3 callersMethodparam_count
--------------------------------------------------------------- @brief returns recursive parameter count */
scripts/deployment/cpp-inference/src/clipp.hpp:3352
↓ 3 callersMethodreset_class
Reset class categories and class predictors. Parameters ---------- classes : iterable of str The new categories. [
gluoncv/model_zoo/yolo/yolo3.py:440
↓ 3 callersMethodstart_of_repeat_group
scripts/deployment/cpp-inference/src/clipp.hpp:3932
↓ 3 callersFunctiontrim
scripts/deployment/cpp-inference/src/clipp.hpp:728
↓ 2 callersFunctionEndsWith
scripts/deployment/cpp-inference/src/common.hpp:118
↓ 2 callersFunctionHSV2BGR
convert color from hsv to bgr for plotting
scripts/deployment/cpp-inference/src/common.hpp:136
↓ 2 callersMethod__init__
(self, dataset, batch_size=None, shuffle=False, sampler=None, last_batch=None, batch_sampler=
gluoncv/data/dataloader.py:109
↓ 2 callersMethod__init__
(self, network, outputs, num_filters, use_1x1_transition=True, use_bn=True, reduce_ratio=1.0,
gluoncv/nn/feature.py:131
↓ 2 callersMethod__init__
(self, threshold)
gluoncv/nn/matcher.py:113
↓ 2 callersMethod__init__
(self, block, layers, classes=1000, dilated=False, norm_layer=BatchNorm, norm_kwargs=None, la
gluoncv/model_zoo/resnetv1b.py:146
↓ 2 callersMethod__init__
(self, nclass, backbone='resnet50', aux=True, ctx=cpu(), pretrained_base=True, base_size=520,
gluoncv/model_zoo/pspnet.py:36
↓ 2 callersMethod__init__
(self, num_class, ignore_iou_thresh, **kwargs)
gluoncv/model_zoo/yolo/yolo_target.py:215
↓ 2 callersMethod__init__
(self, stages, channels, anchors, strides, classes, alloc_size=(128, 128), nms_thresh=0.45, n
gluoncv/model_zoo/yolo/yolo3.py:276
↓ 2 callersMethod__init__
(self, fpn_features, seg_classes, seg_channels, **kwargs)
gluoncv/model_zoo/panoptic/panoptic_fpn.py:64
↓ 2 callersMethod__init__
(self, n_channel, initial=1, eps=1e-5)
gluoncv/model_zoo/ssd/vgg_atrous.py:27
↓ 2 callersFunction_conv3x3
(channels, stride, in_channels)
gluoncv/model_zoo/cifarwideresnet.py:33
↓ 2 callersFunction_flip_image
(img)
gluoncv/model_zoo/segbase.py:226
↓ 2 callersMethod_gen_seg_mask
(self, target, h, w)
gluoncv/data/mscoco/segmentation.py:93
↓ 2 callersMethod_img_transform
(self, img)
gluoncv/data/cityscapes_panoptic.py:158
↓ 2 callersMethod_load_label
Parse xml file and return labels.
gluoncv/data/pascal_voc/detection.py:97
↓ 2 callersFunction_make_E
(prefix, norm_layer, norm_kwargs)
gluoncv/model_zoo/inception.py:113
↓ 2 callersMethod_mask_transform
(self, mask)
gluoncv/data/segbase.py:86
↓ 2 callersMethod_mask_transform
(self, mask)
gluoncv/data/ade20k/segmentation.py:132
↓ 2 callersMethod_pyramid_roi_feats
Assign rpn_rois to specific FPN layers according to its area and then perform `ROIPooling` or `ROIAlign` to generate final regio
gluoncv/model_zoo/faster_rcnn/faster_rcnn.py:235
↓ 2 callersFunction_resize_image
(img, h, w)
gluoncv/model_zoo/segbase.py:199
↓ 2 callersMethod_update
Use coco to get real scores.
gluoncv/utils/metrics/coco_instance.py:104
↓ 2 callersMethodafter_index
scripts/deployment/cpp-inference/src/clipp.hpp:4392
↓ 2 callersMethodall_flagless
@brief returns if all children are value parameters (recursive) */
scripts/deployment/cpp-inference/src/clipp.hpp:3180
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