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

⨍ Functions 380◇ Types & classes 44
↓ 2 callersFunctionrbbox_iou_3d_pair
ops/pybind11/box_ops.h:174
↓ 2 callersFunctionroty
Rotation about the y-axis.
kitti/kitti_util.py:250
↓ 2 callersFunctionrotz
Rotation about the z-axis.
sunrgbd/sunrgbd_utils.py:162
↓ 2 callersMethodscalar_summary
Log a scalar variable.
utils/logger.py:18
↓ 2 callersFunctionsize_encode
(gt, class_mean_size, size_class_label)
models/box_transform.py:15
↓ 2 callersFunctionsoftmax_focal_loss_ignore
(prob, target, alpha=0.25, gamma=2, ignore_idx=-1)
models/common.py:217
↓ 2 callersMethodupdate_states
(self, states, batch_size=1)
utils/training_states.py:20
↓ 2 callersFunctionvalidate
(data_loader, model, epoch, logger=None)
train/train_net_det.py:162
↓ 2 callersFunctionwrite_detection_results
(output_dir, det_results)
train/test_net_det_sunrgbd.py:85
↓ 2 callersFunctionwrite_detection_results
(output_dir, det_results)
train/test_net_det.py:88
↓ 1 callersMethodbackward
(ctx, grad_output)
ops/query_depth_point/query_depth_point.py:43
↓ 1 callersFunctionbbox_overlaps_2d
anchors: (N, 4) ndarray of float gt_boxes: (K, 4) ndarray of float overlaps: (N, K) ndarray of overlap between boxes and query_boxes
ops/pybind11/rbbox_iou_torch.py:34
↓ 1 callersFunctionbbox_overlaps_3d
(anchors, gt_boxes)
ops/pybind11/rbbox_iou_torch.py:67
↓ 1 callersFunctionbox_conversion
In upright depth camera coord
train/sunrgbd_eval/compare_matlab_python_eval.py:25
↓ 1 callersFunctioncleanData
train/kitti_eval/evaluate_object_3d_offline.cpp:383
↓ 1 callersFunctioncleanData
train/kitti_eval/evaluate_object.cpp:384
↓ 1 callersFunctioncompute_alpha
(x, z, ry)
datasets/provider_sample.py:389
↓ 1 callersFunctioncpp_flag
Return the -std=c++[11/14/17] compiler flag. The newer version is prefered over c++11 (when it is available).
ops/pybind11/setup.py:65
↓ 1 callersFunctiondraw_projected_box3d
Draw 3d bounding box in image qs: (8,3) array of vertices for the 3d box in following order: 1 -------- 0 /| /
kitti/draw_util.py:122
↓ 1 callersFunctioneval
train/kitti_eval/evaluate_object_3d_offline.cpp:792
↓ 1 callersFunctioneval
train/kitti_eval/evaluate_object.cpp:772
↓ 1 callersFunctioneval_det
Generic functions to compute precision/recall for object detection for multiple classes. Input: pred_all: map of {img_id:
train/sunrgbd_eval/eval_det.py:172
↓ 1 callersFunctioneval_det_cls
Generic functions to compute precision/recall for object detection for a single class. Input: pred: map of {img_id: [(bbo
train/sunrgbd_eval/eval_det.py:89
↓ 1 callersFunctionevaluate_cuda_wrapper
(result_dir, image_set='val', async_eval=False)
train/test_net_det.py:168
↓ 1 callersFunctionevaluate_py_wrapper
(output_dir, async_eval=False)
train/test_net_det.py:155
↓ 1 callersFunctionextract_boxes
(objects, type_whitelist, remove_diff=False)
kitti/prepare_data_refine.py:25
↓ 1 callersFunctionextract_boxes
(objects, type_whitelist)
kitti/prepare_data.py:80
↓ 1 callersFunctionextract_frustum_data_from_rgb_detection
(sunrgbd_dir, det_file,
sunrgbd/prepare_data.py:270
↓ 1 callersFunctionextract_frustum_data_rgb_detection
Extract point clouds in frustums extruded from 2D detection boxes. Update: Lidar points and 3d boxes are in *rect camera* coord system
kitti/prepare_data.py:462
↓ 1 callersFunctionextract_frustum_det_data
Extract point clouds and corresponding annotations in frustums defined generated from 2D bounding boxes Lidar points and 3d boxes are
kitti/prepare_data_refine.py:406
↓ 1 callersFunctionextract_pc_in_box3d
pc: (N,3), box3d: (8,3)
sunrgbd/sunrgbd_utils.py:231
↓ 1 callersFunctionfill_files
Create empty files if not exist for the filelist.
train/test_net_det.py:79
↓ 1 callersFunctionflip_axis_to_camera
Flip X-right,Y-forward,Z-up to X-right,Y-down,Z-forward Input and output are both (N,3) array
train/sunrgbd_eval/compare_matlab_python_eval.py:15
↓ 1 callersMethodforward
(self, xyz1, xyz2)
ops/query_depth_point/query_depth_point.py:53
↓ 1 callersFunctionfrom_prediction_to_label_format
Convert predicted box parameters to label format.
datasets/provider_sample.py:375
↓ 1 callersFunctionfrom_prediction_to_label_format
Convert predicted box parameters to label format.
datasets/provider_sample_sunrgbd.py:374
↓ 1 callersFunctiongather_object_pc
Gather object point clouds according to predicted masks. Input: point_cloud: (B,N,C) mask: shape (B,N) of 0 (not pick) or 1 (pick
models/model_util.py:125
↓ 1 callersMethodgenerate_labels
(self, center, dimension, angle, ref_xyz)
datasets/provider_sample_refine.py:318
↓ 1 callersMethodgenerate_labels
(self, center, dimension, angle, ref_xyz, P)
datasets/provider_sample.py:272
↓ 1 callersMethodgenerate_labels
(self, center, dimension, angle, ref_xyz)
datasets/provider_sample_sunrgbd.py:265
↓ 1 callersMethodgenerate_ref
(self, pred_box3d)
datasets/provider_sample_refine.py:336
↓ 1 callersMethodgenerate_ref
(self, box, P)
datasets/provider_sample.py:291
↓ 1 callersMethodgenerate_ref
(self, box, K, R)
datasets/provider_sample_sunrgbd.py:283
↓ 1 callersFunctiongetEvalIndices
train/kitti_eval/evaluate_object_3d_offline.cpp:775
↓ 1 callersFunctiongetThresholds
train/kitti_eval/evaluate_object_3d_offline.cpp:348
↓ 1 callersFunctiongetThresholds
train/kitti_eval/evaluate_object.cpp:349
↓ 1 callersMethodget_box3d_center
Get the center (XYZ) of 3D bounding box.
datasets/provider_sample.py:334
↓ 1 callersMethodget_box3d_center
Get the center (XYZ) of 3D bounding box.
datasets/provider_sample_sunrgbd.py:333
↓ 1 callersFunctionget_box3d_dim_statistics
(my_sunrgbd_dir, idx_filename, type_whitelist)
sunrgbd/prepare_data.py:56
↓ 1 callersFunctionget_box3d_dim_statistics
Collect 3D bounding box statistics
kitti/prepare_data.py:395
↓ 1 callersMethodget_center_loss
(self, pred_offsets, gt_offsets)
models/det_base_sunrgbd.py:308
↓ 1 callersMethodget_center_loss
(self, pred_offsets, gt_offsets)
models/det_base.py:280
↓ 1 callersMethodget_center_view_box3d_center
Frustum rotation of 3D bounding box center.
datasets/provider_sample.py:340
↓ 1 callersMethodget_center_view_box3d_center
Frustum rotation of 3D bounding box center.
datasets/provider_sample_sunrgbd.py:339
↓ 1 callersMethodget_center_view_point
(self, point, ref_center, ref_angle)
datasets/provider_sample_refine.py:149
↓ 1 callersMethodget_center_view_point_set
Frustum rotation of point clouds. NxC points with first 3 channels as XYZ z is facing forward, x is left ward, y is downward
datasets/provider_sample.py:354
↓ 1 callersMethodget_center_view_point_set
Frustum rotation of point clouds. NxC points with first 3 channels as XYZ z is facing forward, x is left ward, y is downward
datasets/provider_sample_sunrgbd.py:353
↓ 1 callersMethodget_corner_loss
(self, preds, gts)
models/det_base_sunrgbd.py:343
↓ 1 callersMethodget_corner_loss
(self, preds, gts)
models/det_base.py:315
↓ 1 callersFunctionget_gt_all
()
train/sunrgbd_eval/compare_matlab_python_eval.py:70
↓ 1 callersFunctionget_gt_cls
(classname)
train/sunrgbd_eval/compare_matlab_python_eval.py:54
↓ 1 callersMethodget_heading_loss
(self, heading_scores, heading_res_norm, heading_class_label, heading_res_norm_label)
models/det_base_sunrgbd.py:315
↓ 1 callersMethodget_heading_loss
(self, heading_scores, heading_res_norm, heading_class_label, heading_res_norm_label)
models/det_base.py:287
↓ 1 callersFunctionget_iou_cc
(bb1, bb2)
train/sunrgbd_eval/eval_det.py:84
↓ 1 callersFunctionget_lineset
corners: (8, 3) 1 -------- 0 /| /| 2 -------- 3 . | | | | . 5 -------- 4
sunrgbd/o3d_vis.py:31
↓ 1 callersFunctionget_pcd
(x)
sunrgbd/o3d_vis.py:16
↓ 1 callersMethodget_size_loss
(self, size_scores, size_res_norm, size_class_label, size_res_label_norm)
models/det_base_sunrgbd.py:327
↓ 1 callersMethodget_size_loss
(self, size_scores, size_res_norm, size_class_label, size_res_label_norm)
models/det_base.py:299
↓ 1 callersMethodimmutable
Set immutability to is_immutable and recursively apply the setting to all nested AttrDicts.
configs/collections.py:51
↓ 1 callersFunctionin_hull
(p, hull)
sunrgbd/sunrgbd_utils.py:224
↓ 1 callersFunctionin_hull
(p, hull)
datasets/data_utils.py:24
↓ 1 callersFunctioninitGlobals
initialize class names
train/kitti_eval/evaluate_object_3d_offline.cpp:63
↓ 1 callersFunctioninitGlobals
initialize class names
train/kitti_eval/evaluate_object.cpp:62
↓ 1 callersFunctioninverse_rigid_trans
Inverse a rigid body transform matrix (3x4 as [R|t]) [R'|-R't; 0|1]
kitti/kitti_util.py:275
↓ 1 callersFunctionis_clockwise
(p)
utils/box_util.py:87
↓ 1 callersFunctionloadDetections
train/kitti_eval/evaluate_object_3d_offline.cpp:133
↓ 1 callersFunctionloadDetections
======================================================================= FUNCTIONS TO LOAD DETECTION AND GROUND TRUTH DATA ONCE, SAVE RESULTS =========
train/kitti_eval/evaluate_object.cpp:133
↓ 1 callersFunctionloadGroundtruth
train/kitti_eval/evaluate_object_3d_offline.cpp:180
↓ 1 callersFunctionloadGroundtruth
train/kitti_eval/evaluate_object.cpp:181
↓ 1 callersFunctionload_cfg
Wrapper around yaml.load used for maintaining backward compatibility
configs/config.py:222
↓ 1 callersFunctionmain
()
train/train_net_det.py:206
↓ 1 callersFunctionmask_to_indices
(mask)
models/model_util.py:136
↓ 1 callersFunctionparse_args
()
train/test_net_det_sunrgbd.py:53
↓ 1 callersFunctionparse_args
()
train/test_net_det.py:48
↓ 1 callersFunctionparse_args
()
train/train_net_det.py:40
↓ 1 callersMethodprint_object
(self)
kitti/kitti_util.py:43
↓ 1 callersFunctionproject_image_to_camera
(uv_depth, K)
datasets/provider_sample_sunrgbd.py:28
↓ 1 callersMethodproject_image_to_camera
(self, uv_depth)
sunrgbd/sunrgbd_utils.py:131
↓ 1 callersMethodproject_rect_to_image
Input: nx3 points in rect camera coord. Output: nx2 points in image2 coord.
kitti/kitti_util.py:202
↓ 1 callersMethodproject_rect_to_ref
Input and Output are nx3 points
kitti/kitti_util.py:180
↓ 1 callersMethodproject_ref_to_rect
Input and Output are nx3 points
kitti/kitti_util.py:184
↓ 1 callersMethodproject_ref_to_velo
(self, pts_3d_ref)
kitti/kitti_util.py:176
↓ 1 callersMethodproject_upright_depth_to_camera
project point cloud from depth coord to camera coordinate Input: (N,3) Output: (N,3)
sunrgbd/sunrgbd_utils.py:109
↓ 1 callersMethodproject_velo_to_image
Input: nx3 points in velodyne coord. Output: nx2 points in image2 coord.
kitti/kitti_util.py:212
↓ 1 callersMethodproject_velo_to_ref
(self, pts_3d_velo)
kitti/kitti_util.py:172
↓ 1 callersFunctionrandom_shift_box2d
Randomly shift box center, randomly scale width and height
sunrgbd/sunrgbd_utils.py:208
↓ 1 callersFunctionravel_hash
(coord)
sunrgbd/prepare_data.py:24
↓ 1 callersFunctionrbbox_iou
(boxes_2d, qboxes_2d, standup_thresh=0.0)
ops/pybind11/rbbox_iou.py:158
↓ 1 callersFunctionrbbox_iou
(boxes_2d, qboxes_2d, standup_thresh=0.0)
ops/pybind11/rbbox_iou_torch.py:172
↓ 1 callersFunctionrbbox_iou_3d
boxes_3d: (cx, cy, cz, l, w, h, r) n, 7
ops/pybind11/rbbox_iou_torch.py:188
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