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Functions537 in github.com/Banconxuan/RTM3D

⨍ Functions 537◇ Types & classes 86

↓ 1 callersFunctionloadDetections

src/tools/kitti_eval/evaluate_object_3d.cpp:132

↓ 1 callersFunctionloadGroundtruth

src/tools/kitti_eval/evaluate_object_3d_offline.cpp:179

↓ 1 callersFunctionloadGroundtruth

src/tools/kitti_eval/evaluate_object_3d.cpp:179

↓ 1 callersMethodload_pretrained_model

(self, data='imagenet', name='dla34', hash='ba72cf86')

src/lib/models/networks/pose_dla_dcn.py:294

↓ 1 callersFunctionmain

↓ 1 callersFunctionmake_cnv_layer

(inp_dim, out_dim)

src/lib/models/networks/large_hourglass.py:114

↓ 1 callersFunctionmake_hg_layer

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

src/lib/models/networks/large_hourglass.py:277

↓ 1 callersFunctionmake_inter_layer

src/lib/models/networks/large_hourglass.py:111

↓ 1 callersFunctionmake_merge_layer

src/lib/models/networks/large_hourglass.py:93

↓ 1 callersFunctionmake_pool_layer

src/lib/models/networks/large_hourglass.py:99

↓ 1 callersFunctionmake_unpool_layer

src/lib/models/networks/large_hourglass.py:102

↓ 1 callersMethodmerge_outputs

(self, detections)

src/lib/detectors/base_detector.py:84

↓ 1 callersMethodparallel_apply

(self, replicas, inputs, kwargs)

src/lib/models/data_parallel.py:80

↓ 1 callersFunctionpoint_in_2Dbox

Select points contained in object 2D box Inputs: points_im: N x 2 numpy array in image obj: KittiObject Retur

src/lib/utils/kitti_read.py:548

↓ 1 callersMethodpost_process

(self, dets, meta, scale=1)

src/lib/detectors/base_detector.py:81

↓ 1 callersMethodpre_process

(self, image, scale, meta=None)

src/lib/detectors/base_detector.py:43

↓ 1 callersMethodprocess

(self, images,meta, return_time=False)

src/lib/detectors/base_detector.py:78

↓ 1 callersFunctionproject_to_image

Projects a 3D point cloud to 2D points for plotting Inputs: point_cloud: 3D point cloud (3, N) p: Camera matrix (3,

src/lib/utils/kitti_read.py:527

↓ 1 callersMethodproject_to_image

(self, pts_3d, P)

src/lib/utils/debugger.py:474

↓ 1 callersFunctionquadrilateral_intersection

(pts1, pts2, int_pts)

src/tools/kitti-object-eval-python/rotate_iou.py:180

↓ 1 callersFunctionread_clib

src/tools/kitti.py:50

↓ 1 callersMethodread_clib

(self,calib_path)

src/lib/detectors/base_detector.py:93

↓ 1 callersFunctionread_clib0

src/tools/kitti.py:64

↓ 1 callersFunctionread_clib3

src/tools/kitti.py:57

↓ 1 callersMethodreplicate

(self, module, device_ids)

src/lib/models/data_parallel.py:74

↓ 1 callersMethodreset

src/lib/utils/utils.py:12

↓ 1 callersMethodreset_parameters

src/lib/models/networks/DCNv2/dcn_v2.py:75

↓ 1 callersFunctionsaveStats

src/tools/kitti_eval/evaluate_object_3d_offline.cpp:205

↓ 1 callersFunctionsaveStats

src/tools/kitti_eval/evaluate_object_3d.cpp:205

↓ 1 callersMethodsave_all_imgs

(self, path='./cache/debug/', prefix='', genID=False)

src/lib/utils/debugger.py:387

↓ 1 callersMethodsave_kitti_format

(self, results, img_path,opt,img_id='default',is_faster=False)

src/lib/utils/debugger.py:264

↓ 1 callersMethodsave_result

(self, output, batch, results)

src/lib/trains/base_trainer.py:152

↓ 1 callersMethodscatter

(self, inputs, kwargs, device_ids, chunk_sizes)

src/lib/models/data_parallel.py:77

↓ 1 callersFunctionscatter_map

src/lib/models/scatter_gather.py:13

↓ 1 callersMethodshow_results

(self, debugger, image, results, calib)

src/lib/detectors/base_detector.py:90

↓ 1 callersFunctionsort_vertex_in_convex_polygon

(int_pts, num_of_inter)

src/tools/kitti-object-eval-python/rotate_iou.py:33

↓ 1 callersFunctionunproject_2d_to_3d

(pt_2d, depth, P)

src/lib/utils/ddd_utils.py:113

↓ 1 callersMethodwrite_detection_results

One by one write detection results to KITTI format label files.

src/lib/utils/debugger.py:283

↓ 1 callersMethodwrite_points_results

One by one write detection results to KITTI format label files.

src/lib/utils/debugger.py:326

FunctionBox3D2ellipsoid_param

(dim, pos, rotation_y, method='in')

src/lib/utils/vis_3d_utils.py:351

FunctionBox3D2ellipsoid_param_front

(dim, pos, rotation_y, method='in')

src/lib/utils/vis_3d_utils.py:439

src/tools/kitti_eval/mail.h:12

FunctionPYBIND11_MODULE

src/lib/utils/iou3d/src/iou3d.cpp:174

FunctionPYBIND11_MODULE

src/lib/models/networks/DCNv2/src/vision.cpp:4

Method__getitem__

src/lib/datasets/sample/car_pose.py:38

src/lib/opts.py:10

(self, entries)

src/lib/opts.py:349

Create a summary writer logging to log_dir.

src/lib/logger.py:17

(self, ipynb=False, theme='black', num_classes=-1, dataset=None, down_ratio=4)

src/lib/utils/debugger.py:12

src/lib/utils/utils.py:9

src/lib/utils/kitti_read.py:15

src/lib/utils/kitti_read.py:23

src/lib/utils/kitti_read.py:55

(self, model, loss)

src/lib/trains/base_trainer.py:23

(self, opt, model, optimizer=None)

src/lib/trains/car_pose.py:60

src/lib/detectors/base_detector.py:17

src/lib/detectors/car_pose.py:28

(self, opt, split)

src/lib/datasets/dataset/nusceneshp.py:20

(self, opt, split)

src/lib/datasets/dataset/kittihp.py:20

src/lib/models/losses.py:170

src/lib/models/losses.py:187

src/lib/models/losses.py:197

src/lib/models/losses.py:210

src/lib/models/losses.py:224

src/lib/models/losses.py:268

src/lib/models/losses.py:280

src/lib/models/losses.py:301

src/lib/models/losses.py:477

src/lib/models/losses.py:496

(self, module, device_ids=None, output_device=None, dim=0, chunk_sizes=None)

src/lib/models/data_parallel.py:44

(self, inplanes, planes, stride=1, dilation=1)

src/lib/models/networks/dlav0.py:29

(self, inplanes, planes, stride=1, dilation=1)

src/lib/models/networks/dlav0.py:62

(self, inplanes, planes, stride=1, dilation=1)

src/lib/models/networks/dlav0.py:104

(self, in_channels, out_channels, kernel_size, residual)

src/lib/models/networks/dlav0.py:145

(self, levels, block, in_channels, out_channels, stride=1, level_root=False, root_dim=0, root

src/lib/models/networks/dlav0.py:166

src/lib/models/networks/dlav0.py:421

(self, node_kernel, out_dim, channels, up_factors)

src/lib/models/networks/dlav0.py:441

(self, channels, scales=(1, 2, 4, 8, 16), in_channels=None)

src/lib/models/networks/dlav0.py:500

(self, base_name, heads, pretrained=True, down_ratio=4, head_conv=256)

src/lib/models/networks/dlav0.py:534

(self, inplanes, planes, stride=1, downsample=None)

src/lib/models/networks/msra_resnet.py:71

(self, block, layers, heads, head_conv, **kwargs)

src/lib/models/networks/msra_resnet.py:111

(self, inplanes, planes, stride=1, downsample=None)

src/lib/models/networks/resnet_dcn.py:73

(self, block, layers, heads, head_conv)

src/lib/models/networks/resnet_dcn.py:132

(self, inplanes, planes, stride=1, dilation=1)

src/lib/models/networks/pose_dla_dcn.py:32

(self, inplanes, planes, stride=1, dilation=1)

src/lib/models/networks/pose_dla_dcn.py:65

(self, inplanes, planes, stride=1, dilation=1)

src/lib/models/networks/pose_dla_dcn.py:107

(self, in_channels, out_channels, kernel_size, residual)

src/lib/models/networks/pose_dla_dcn.py:148

(self, levels, block, in_channels, out_channels, stride=1, level_root=False, root_dim=0, root

src/lib/models/networks/pose_dla_dcn.py:169

src/lib/models/networks/pose_dla_dcn.py:319

(self, chi, cho)

src/lib/models/networks/pose_dla_dcn.py:346

(self, o, channels, up_f)

src/lib/models/networks/pose_dla_dcn.py:362

(self, startp, channels, scales, in_channels=None)

src/lib/models/networks/pose_dla_dcn.py:391

(self, scale, mode)

src/lib/models/networks/pose_dla_dcn.py:417

(self, base_name, heads, pretrained, down_ratio, final_kernel, last_level, head_conv, out_cha

src/lib/models/networks/pose_dla_dcn.py:428

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

src/lib/models/networks/large_hourglass.py:18

(self, inp_dim, out_dim, with_bn=True)

src/lib/models/networks/large_hourglass.py:33

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

src/lib/models/networks/large_hourglass.py:49

( self, n, dims, modules, layer=residual, make_up_layer=make_layer, make_low_layer=make_layer,

src/lib/models/networks/large_hourglass.py:118

(self, heads, num_stacks=2)

src/lib/models/networks/large_hourglass.py:284

(self, in_channels, out_channels, kernel_size, stride, padding, dilation=1, deformable_groups

src/lib/models/networks/DCNv2/dcn_v2.py:59

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