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Functions380 in github.com/Gorilla-Lab-SCUT/frustum-convnet

⨍ Functions 380◇ Types & classes 44

↓ 1 callersFunctionrbbox_iou_3d_pair

boxes_3d, qboxes_3d: (cx, cy, cz, l, w, h, r) n, 7

ops/pybind11/rbbox_iou.py:189

↓ 1 callersMethodread_calib_from_video

Read calibration for camera 2 from video calib files. there are calib_cam_to_cam and calib_velo_to_cam under the calib_root_dir

kitti/kitti_util.py:146

↓ 1 callersFunctionread_det_file

sunrgbd/prepare_data.py:88

↓ 1 callersFunctionread_det_file

Parse lines in 2D detection output files

kitti/prepare_data_refine.py:620

↓ 1 callersFunctionread_det_pkl_file

sunrgbd/prepare_data.py:105

↓ 1 callersFunctionread_det_pkl_file

Parse lines in 2D detection output files

kitti/prepare_data.py:449

↓ 1 callersMethodreset

utils/utils.py:57

↓ 1 callersFunctionroty

Rotation about the y-axis.

datasets/data_utils.py:37

↓ 1 callersFunctionsaveStats

train/kitti_eval/evaluate_object_3d_offline.cpp:206

↓ 1 callersFunctionsaveStats

train/kitti_eval/evaluate_object.cpp:207

↓ 1 callersFunctionset_random_seed

train/test_net_det_sunrgbd.py:78

↓ 1 callersFunctionset_random_seed

train/test_net_det.py:72

↓ 1 callersFunctionset_random_seed

train/train_net_det.py:64

↓ 1 callersFunctionshow_image_with_boxes

Show image with 2D bounding boxes

kitti/draw_util.py:26

↓ 1 callersFunctionshow_lidar_with_boxes

Show all LiDAR points. Draw 3d box in LiDAR point cloud (in velo coord system)

kitti/draw_util.py:69

↓ 1 callersFunctionsingle_overlap

kitti/prepare_data_refine.py:107

↓ 1 callersFunctiontest

(model, test_dataset, test_loader, output_filename, result_dir=None)

train/test_net_det_sunrgbd.py:148

↓ 1 callersFunctiontest

(model, test_dataset, test_loader, output_filename, result_dir=None)

train/test_net_det.py:193

↓ 1 callersFunctiontrain

(data_loader, model, optimizer, lr_scheduler, epoch, logger=None)

train/train_net_det.py:91

↓ 1 callersFunctionvoc_ap

ap = voc_ap(rec, prec, [use_07_metric]) Compute VOC AP given precision and recall. If use_07_metric is true, uses the VOC 07 11 point met

train/sunrgbd_eval/eval_det.py:41

↓ 1 callersFunctionwrapper

train/sunrgbd_eval/compare_matlab_python_eval.py:45

↓ 1 callersFunctionwrite_detection_results_nms

(output_dir, det_results, threshold=cfg.TEST.THRESH)

train/test_net_det_sunrgbd.py:120

↓ 1 callersFunctionwrite_detection_results_nms

(output_dir, det_results, threshold)

train/test_net_det.py:126

(i_c, o_c, k, s=1, p=0, bn=True)

models/common.py:52

FunctionDeConv2d

(i_c, o_c, k, s=1, p=0, bn=True)

models/common.py:66

FunctionDeConv3d

(i_c, o_c, k, s=1, p=0, bn=True)

models/common.py:73

train/kitti_eval/mail.h:12

FunctionPYBIND11_MODULE

ops/query_depth_point/query_depth_point_cuda.cpp:47

FunctionPYBIND11_MODULE

ops/pybind11/box_ops.cc:3

FunctionPYBIND11_MODULE

ops/pybind11/nms.cc:2

Method__getattr__

configs/collections.py:31

Method__getitem__

datasets/provider_sample_refine.py:174

Method__getitem__

datasets/provider_sample.py:133

Method__getitem__

datasets/provider_sample_sunrgbd.py:116

(self, *args, **kwargs)

configs/collections.py:27

(self, dis_z, nsample)

ops/query_depth_point/query_depth_point.py:48

(self, user=False)

ops/pybind11/setup.py:17

utils/utils.py:54

Create a summary writer logging to log_dir.

utils/logger.py:14

(self, state_names=[])

utils/training_states.py:7

sunrgbd/sunrgbd_utils.py:17

(self, calib_filepath=None, Rtilt=None, K=None)

sunrgbd/sunrgbd_utils.py:74

(self, root_dir, split='training')

sunrgbd/sunrgbd_object.py:13

root_dir contains training and testing folders

kitti/kitti_object.py:22

(self, img_dir, lidar_dir, calib_dir)

kitti/kitti_object.py:74

(self, label_file_line)

kitti/kitti_util.py:15

(self, calib_filepath, calib_dict=None, from_video=False)

kitti/kitti_util.py:95

(self, npoints, split, random_flip=False, random_shift=False, one_hot=True,

datasets/provider_sample_refine.py:40

(self, npoints, split, random_flip=False, random_shift=False, one_hot=True,

datasets/provider_sample.py:41

(self, npoints, split, random_flip=False, random_shift=False, one_hot=True,

datasets/provider_sample_sunrgbd.py:62

(self, K, C, depth_multiplier=1, with_X_transformation=True)

models/common.py:248

(self, Infea, mlp, dist, nsample, use_xyz=True, use_feature=True)

models/det_base_sunrgbd.py:36

(self, input_channel=3, num_vec=0)

models/det_base_sunrgbd.py:108

(self, input_channel=3, num_vec=0, num_classes=2)

models/det_base_sunrgbd.py:257

(self, Infea, mlp, dist, nsample, use_xyz=True, use_feature=True)

models/det_base.py:36

(self, input_channel=3, num_vec=0)

models/det_base.py:108

(self, input_channel=3, num_vec=0, num_classes=2)

models/det_base.py:229

sunrgbd/sunrgbd_object.py:33

kitti/kitti_object.py:41

kitti/kitti_object.py:87

datasets/provider_sample_refine.py:171

datasets/provider_sample.py:130

datasets/provider_sample_sunrgbd.py:113

Method__setattr__

(self, name, value)

configs/collections.py:39

ops/pybind11/setup.py:20

Functionbbox_overlaps_1d

ops/pybind11/rbbox_iou.py:6

Functionbbox_overlaps_1d

ops/pybind11/rbbox_iou_torch.py:10

Functionbev_nms_np

:param dets: [[cx, cz, l, w, ry, score]] :param thresh: retain overlap < thresh :return: indices to keep

ops/pybind11/rbbox_iou.py:239

Functionbox3DOverlap

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

train/kitti_eval/evaluate_object_3d_offline.cpp:319

Functionbox3DOverlap

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

train/kitti_eval/evaluate_object.cpp:320

Functionbox3d_iou_pair

Compute paired 3D bounding box IoU. /* camera coordinate 7 -------- 4 /| /| 6 --------

utils/box_util.py:121

Methodbuild_extensions

ops/pybind11/setup.py:96

Functioncheck_box_frustum

(box, P, center, dimension, angle)

datasets/check_utils.py:45

Functioncheck_norm

(self, points, ref_points, gt_box3d_corners, pred_box3d_corners)

datasets/check_utils.py:85

Functioncollate_fn

datasets/provider_sample_refine.py:388

Functioncollate_fn

datasets/provider_sample.py:396

Functioncollate_fn

datasets/provider_sample_sunrgbd.py:388

Functioncompute_alpha

(box_lidar_center, ry)

datasets/provider_sample_refine.py:434

Functioncompute_box_3d

Takes an object and a projection matrix (P) and projects the 3d bounding box into the image plane. Returns: corners_2d: (

sunrgbd/sunrgbd_utils.py:237

Functioncompute_box_3d

Takes an object and a projection matrix (P) and projects the 3d bounding box into the image plane. Returns: corners_2d: (

kitti/kitti_util.py:324

Functioncompute_box_3d_obj

Takes an object and a projection matrix (P) and projects the 3d bounding box into the image plane. Returns: corners_2d: (

kitti/prepare_data_refine.py:82

Functioncompute_box_3d_obj_array

cx, cy, cz, l, w, h, heading_angle Returns: corners_3d: (8,3) array in in upright depth coord.

sunrgbd/sunrgbd_utils.py:271

Functioncompute_orientation_3d

Takes an object and a projection matrix (P) and projects the 3d object orientation vector into the image plane. Returns:

sunrgbd/sunrgbd_utils.py:297

Functioncompute_orientation_3d

Takes an object and a projection matrix (P) and projects the 3d object orientation vector into the image plane. Returns:

kitti/kitti_util.py:362

Functionconstant

ops/pybind11/nms_cpu.h:16

Functionconstant

ops/pybind11/box_ops.h:13

Functioncube_nms_np

:param dets: [[cx, cy, cz, l, w, h, ry, score]] :param thresh: retain overlap < thresh :return: indices to keep

ops/pybind11/rbbox_iou.py:203

Functiondraw_projected_box3d

Draw 3d bounding box in image qs: (8,2) array of vertices for the 3d box in following order: 1 -------- 0 /| /

sunrgbd/sunrgbd_utils.py:318

Functionextract_frustum_det_data

(idx_filename, split, output_filename, det_filename, perturb_box2d=False, augment

kitti/prepare_data.py:102

Functionextract_pc_in_box2d

pc: (N,2), box2d: (xmin,ymin,xmax,ymax)

kitti/prepare_data_refine.py:133

Functionextract_pc_in_box2d

pc: (N,2), box2d: (xmin,ymin,xmax,ymax)

kitti/prepare_data.py:44

Input: dis_z: float32, depth distance search distance nsample: int32, number of points selected in each ball region

ops/query_depth_point/query_depth_point.py:12

pts: nn_pts_local (N, 3, P, K) nn_fts_input : (N, C, P, K)

models/common.py:294

(self, pc, feat, new_pc=None)

models/det_base_sunrgbd.py:62

(self, point_cloud, sample_pc, feat=None, one_hot_vec=None)

models/det_base_sunrgbd.py:130

(self, x1, x2, x3, x4, x5)

models/det_base_sunrgbd.py:213

(self, data_dicts)

models/det_base_sunrgbd.py:362

(self, pc, feat, new_pc=None)

models/det_base.py:62

(self, point_cloud, sample_pc, feat=None, one_hot_vec=None)

models/det_base.py:126

(self, x1, x2, x3, x4)

models/det_base.py:196

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