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Functions537 in github.com/Banconxuan/RTM3D

⨍ Functions 537◇ Types & classes 86

(self, spatial_scale, pooled_size, output_dim,

src/lib/models/networks/DCNv2/dcn_v2.py:189

(self, spatial_scale, pooled_size, output_dim,

src/lib/models/networks/DCNv2/dcn_v2.py:225

src/lib/datasets/dataset/nusceneshp.py:67

Method_get_losses

src/lib/trains/car_pose.py:63

Method_make_level

(self, block, inplanes, planes, blocks, stride=1)

src/lib/models/networks/dlav0.py:260

Method_make_level

(self, block, inplanes, planes, blocks, stride=1)

src/lib/models/networks/pose_dla_dcn.py:257

Function_neg_loss

Modified focal loss. Exactly the same as CornerNet. Runs faster and costs a little bit more memory Arguments: pred (batch x c x

src/lib/models/losses.py:91

Function_not_faster_neg_loss

src/lib/models/losses.py:119

Function_read_imageset_file

src/tools/prepare_data.py:10

Function_slow_neg_loss

focal loss from CornerNet

src/lib/models/losses.py:66

Function_slow_reg_loss

(regr, gt_regr, mask)

src/lib/models/losses.py:137

Method_to_float

src/lib/datasets/dataset/nusceneshp.py:64

Method_to_float

src/lib/datasets/dataset/kittihp.py:68

Methodadd_2d_detection

( self, img, dets, show_box=False, show_txt=True, center_thresh=0.5, img_id='det')

src/lib/utils/debugger.py:512

Methodadd_bird_view

(self, dets, center_thresh=0.3, img_id='bird')

src/lib/utils/debugger.py:525

Methodadd_bird_views

(self, dets_dt, dets_gt, center_thresh=0.3, img_id='bird')

src/lib/utils/debugger.py:549

Methodadd_ct_detection

( self, img, dets, show_box=False, show_txt=True, center_thresh=0.5, img_id='det')

src/lib/utils/debugger.py:423

(self, mask, bg, imgId = 'default', trans = 0.8)

src/lib/utils/debugger.py:120

Methodadd_points

(self, points, img_id='default')

src/lib/utils/debugger.py:348

(self, rect1, rect2, c, conf=1, img_id='default')

src/lib/utils/debugger.py:206

Functionagnex_ct_decode

( t_heat, l_heat, b_heat, r_heat, ct_heat, t_regr=None, l_regr=None, b_regr=None, r_regr=None, K

src/lib/models/decode.py:122

Functionalpha2rot_y

Get rotation_y by alpha + theta - 180 alpha : Observation angle of object, ranging [-pi..pi] x : Object center x to the camera center (x-

src/tools/prepare_data.py:16

(ctx, grad_output)

src/lib/models/networks/DCNv2/dcn_v2.py:163

Functionbox2D_sourround_box3dimimage

(box3d_in_image)

src/lib/utils/kitti_read.py:565

Functionbox2D_sourround_box3dimimage_mat

(box3d_in_image)

src/lib/utils/kitti_read.py:577

Functionbox3DOverlap

measure overlap between 3D bounding boxes, parametrized by (ry, h, w, l, tx, ty, tz)

src/tools/kitti_eval/evaluate_object_3d_offline.cpp:318

Functionbox3DOverlap

measure overlap between 3D bounding boxes, parametrized by (ry, h, w, l, tx, ty, tz)

src/tools/kitti_eval/evaluate_object_3d.cpp:318

Functionboxes3d_to_bev_torch

:param boxes3d: (N, 7) [x, y, z, h, w, l, ry] :return: boxes_bev: (N, 5) [x1, y1, x2, y2, ry]

src/lib/utils/kitti_utils_torch.py:134

Functionboxes3d_to_corners3d

:param boxes3d: (N, 7) [x, y, z, h, w, l, ry] :param rotate: :return: corners3d: (N, 8, 3)

src/lib/utils/kitti_utils_torch.py:66

Functionboxes3d_to_corners3d_torch

:param boxes3d: (N, 7) [x, y, z, h, w, l, ry] :return: corners_rotated: (N, 8, 3)

src/lib/utils/kitti_utils_torch.py:104

Functionboxes_iou3d_gpu

:param boxes_a: (N, 7) [x, y, z, h, w, l, ry] :param boxes_b: (M, 7) [x, y, z, h, w, l, ry] :return: ans_iou: (M, N)

src/lib/utils/iou3d/iou3d_utils.py:21

Functionboxes_iou_bev

:param boxes_a: (M, 5) :param boxes_b: (N, 5) :return: ans_iou: (M, N)

src/lib/utils/iou3d/iou3d_utils.py:6

Functionboxes_iou_bev

:param boxes_a: (M, 5) :param boxes_b: (N, 5) :return: ans_iou: (M, N)

src/lib/models/losses.py:19

Functionboxes_iou_bev_gpu

src/lib/utils/iou3d/src/iou3d.cpp:52

Functionboxes_overlap_bev_gpu

src/lib/utils/iou3d/src/iou3d.cpp:31

Functionbrightness_

(data_rng, image, gs, gs_mean, var)

src/lib/utils/image.py:214

Functioncalib2P

src/lib/utils/kitti_read.py:764

Methodcompose_vis_add

( self, img_path, dets, calib, center_thresh, pred, bev, img_id='out')

src/lib/utils/debugger.py:484

Functioncompute_orientation_3d

(dim, location, rotation_y)

src/lib/utils/ddd_utils.py:83

Functioncontrast_

(data_rng, image, gs, gs_mean, var)

src/lib/utils/image.py:218

Functionconv3x3

3x3 convolution with padding

src/lib/models/networks/dlav0.py:22

Functionconv3x3

3x3 convolution with padding

src/lib/models/networks/pose_dla_dcn.py:25

(img, center, scale, output_size, rot=0)

src/lib/utils/image.py:84

Functionctdet_decode

(heat, wh, reg=None, cat_spec_wh=False, K=100)

src/lib/models/decode.py:464

Functionctdet_post_process

(dets, c, s, h, w, num_classes)

src/lib/utils/post_process.py:83

Functiondata_parallel

r"""Evaluates module(input) in parallel across the GPUs given in device_ids. This is the functional version of the DataParallel module. Args

src/lib/models/data_parallel.py:87

Functiondcn_v2_backward

src/lib/models/networks/DCNv2/src/dcn_v2.h:41

Functiondcn_v2_cpu_backward

src/lib/models/networks/DCNv2/src/cpu/dcn_v2_cpu.cpp:26

Functiondcn_v2_cpu_forward

src/lib/models/networks/DCNv2/src/cpu/dcn_v2_cpu.cpp:7

Functiondcn_v2_forward

src/lib/models/networks/DCNv2/src/dcn_v2.h:9

Functiondcn_v2_psroi_pooling_backward

src/lib/models/networks/DCNv2/src/dcn_v2.h:109

Functiondcn_v2_psroi_pooling_cpu_backward

src/lib/models/networks/DCNv2/src/cpu/dcn_v2_cpu.cpp:58

Functiondcn_v2_psroi_pooling_cpu_forward

src/lib/models/networks/DCNv2/src/cpu/dcn_v2_cpu.cpp:42

Functiondcn_v2_psroi_pooling_forward

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

Functionddd_decode

(heat, rot, depth, dim, wh=None, reg=None, K=40)

src/lib/models/decode.py:426

Functionddd_post_process

(dets, c, s, calibs, opt)

src/lib/utils/post_process.py:75

(self, batch, output, iter_id)

src/lib/trains/car_pose.py:69

(self, debugger, images, dets, output, scale=1)

src/lib/detectors/car_pose.py:89

Functiondist_to_plane

Calculates the signed distance from a 3D plane to each point in a list of points :param plane: (a, b, c, d) :param points: (N, 3) :re

src/lib/utils/kitti_utils_torch.py:15

(pretrained=None, **kwargs)

src/lib/models/networks/dlav0.py:378

Functiondla102x

(pretrained=None, **kwargs)

src/lib/models/networks/dlav0.py:387

Functiondla102x2

(pretrained=None, **kwargs)

src/lib/models/networks/dlav0.py:396

(pretrained=None, **kwargs)

src/lib/models/networks/dlav0.py:405

(pretrained, **kwargs)

src/lib/models/networks/dlav0.py:319

(pretrained=True, **kwargs)

src/lib/models/networks/pose_dla_dcn.py:309

Functiondla46_c

(pretrained=None, **kwargs)

src/lib/models/networks/dlav0.py:328

Functiondla46x_c

(pretrained=None, **kwargs)

src/lib/models/networks/dlav0.py:338

(pretrained=None, **kwargs)

src/lib/models/networks/dlav0.py:358

(pretrained=None, **kwargs)

src/lib/models/networks/dlav0.py:368

Functiondla60x_c

(pretrained, **kwargs)

src/lib/models/networks/dlav0.py:348

Functiondraw_Box3D

(box3d, ax, color_set='b')

src/lib/utils/vis_3d_utils.py:327

Functiondraw_Box3DinImage

(box2d, img, color_set=(255, 0, 0))

src/lib/utils/vis_3d_utils.py:341

Functiondraw_box2D

(box, image, color_set=(255, 0, 0))

src/lib/utils/vis_3d_utils.py:488

Functiondraw_ellipse2D

(param, img, color_set=(100, 0, 100))

src/lib/utils/vis_3d_utils.py:468

Functiondraw_ellipsoid3D

(ellipsodi_param, ax, color_set='r')

src/lib/utils/vis_3d_utils.py:271

Functiondraw_ellipsoid3D_fasle

(ellipsodi_param, ax, color_set='r')

src/lib/utils/vis_3d_utils.py:220

Methoddraw_features

(self,width, height, x, savename)

src/lib/models/networks/msra_resnet.py:233

Functiondraw_msra_gaussian

(heatmap, center, sigma)

src/lib/utils/image.py:175

Functiondraw_umich_gaussian

(heatmap, center, radius, k=1)

src/lib/utils/image.py:126

Functionenlarge_box3d

:param boxes3d: (N, 7) [x, y, z, h, w, l, ry]

src/lib/utils/kitti_utils_torch.py:150

Functionevaluate

(label_path, result_path, label_split_file, current_class=0,

src/tools/kitti-object-eval-python/evaluate.py:22

Functionexct_decode

( t_heat, l_heat, b_heat, r_heat, ct_heat, t_regr=None, l_regr=None, b_regr=None, r_regr=None, K

src/lib/models/decode.py:273

Functionfilter_annos_low_score

(image_annos, thresh)

src/tools/kitti-object-eval-python/kitti_common.py:190

Functionfilter_kitti_anno

(image_anno, used_classes, used_difficulty=None,

src/tools/kitti-object-eval-python/kitti_common.py:151

Functionfind_bottom_keypoint

(BOX3D_in_image,BOX3D_param,box_2D)

src/lib/utils/kitti_read.py:1100

src/lib/utils/image.py:16

(self, batch,unlabel=False,phase=None)

src/lib/trains/base_trainer.py:28

(self, outputs, batch,phase=None)

src/lib/trains/car_pose.py:27

(self, out, target)

src/lib/models/losses.py:174

(self, output, mask, ind, target)

src/lib/models/losses.py:190

(self, output, mask, ind, target)

src/lib/models/losses.py:200

(self, output, mask, ind, target)

src/lib/models/losses.py:213

(self, output, mask, ind, target,dep)

src/lib/models/losses.py:227

(self, output, mask, ind, target)

src/lib/models/losses.py:260

(self, output, mask, ind, target)

src/lib/models/losses.py:271

(self, output, mask, ind, rotbin, rotres)

src/lib/models/losses.py:283

(self, output, batch,phase=None)

src/lib/models/losses.py:312

(self, output, batch)

src/lib/models/losses.py:481

src/lib/models/losses.py:502

(self, *inputs, **kwargs)

src/lib/models/data_parallel.py:64

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