Functions — github.com/anshulpaigwar/Frustum-Pointpillars

↓ 1 callersMethodstate_dict

(self)

torchplus/train/optim.py:79

↓ 1 callersMethodstep

(self, step=None)

torchplus/train/learning_schedules.py:39

↓ 1 callersFunctionsurface_equ_3d_jit

(polygon_surfaces)

second/core/geometry.py:85

↓ 1 callersFunctiontorch_to_np_dtype

(ttype)

torchplus/tools.py:47

↓ 1 callersMethodupdate_global_step

(self)

second/pytorch/models/voxelnet.py:650

↓ 1 callersMethodupdate_metrics

(self, cls_loss, loc_loss, cls_preds,

second/pytorch/models/voxelnet.py:991

↓ 1 callersFunctionwrite_kitti_labels

(ref_det_file, results_dir)

scripts/fpointnet_to_kitti_label.py:45

↓ 1 callersFunctionwrite_labels

(data_dir, results_dir, set_file)

scripts/select_val.py:45

↓ 1 callersFunctionyolo_to_kitti_labels

(yolo_results_dir, out_dir, thres)

scripts/yolov5_to_kitti.py:10

FunctionKittiDataset

(root, set, rgb = False)

scripts/kitti_visualiser_ros.py:109

FunctionPYBIND11_MODULE

second/core/cc/box_ops.cc:3

FunctionPYBIND11_MODULE

second/core/cc/point_cloud_ops.cc:4

FunctionPYBIND11_MODULE

second/core/cc/nms/nms.cc:3

Method__call__

(self, *nodes)

second/utils/buildtools/command.py:202

Method__call__

(self, db_infos)

second/core/preprocess.py:54

Method__call__

(self, db_infos)

second/core/preprocess.py:97

Method__call__

Call the loss function. Args: prediction_tensor: an N-d tensor of shape [batch, anchors, ...] representing predicted quantities.

second/pytorch/core/losses.py:69

Method__enter__

(self)

torchplus/train/checkpoint.py:11

Method__exit__

(self, type, value, traceback)

torchplus/train/checkpoint.py:19

Method__getitem__

(self, index)

second/data/dataset.py:21

Method__getitem__

(self, idx)

second/data/dataset.py:63

Method__getitem__

(self, idx)

second/pytorch/builder/input_reader_builder.py:41

Method__getitem__

(self, idx)

torchplus/nn/modules/common.py:65

Method__getstate__

(self)

torchplus/train/optim.py:70

Method__init__

(self, width=20, with_ptg=True, step_time_average=50,

second/utils/progress_bar.py:124

Method__init__

(self, pos=None, text=None, color=None, font=QtGui.QFont())

second/utils/bbox_plot.py:209

Method__init__

(self, outs, target, compiler="ld", build_directory: str = None)

second/utils/buildtools/command.py:81

Method__init__

(self, sources, target, arch=None, std="c+

second/utils/buildtools/command.py:109

Method__init__

(self, sources, target, std="c++11", inclu

second/utils/buildtools/command.py:148

Method__init__

(self, name=None)

second/utils/buildtools/command.py:196

Method__init__

(self, srcs, hdrs, deps, copts, name=None)

second/utils/buildtools/command.py:233

Method__init__

(self, sources, target, std="c++11", inclu

second/utils/buildtools/pybind11_build.py:45

Method__init__

(self, db_infos, groups, db_prepor=None, rate=1.0, global_rot_range=None)

second/core/sample_ops.py:17

Method__init__

(self, sizes=[1.6, 3.9, 1.56], anchor_strides=[0.4, 0.4, 1.0],

second/core/anchor_generator.py:6

Method__init__

(self, anchor_ranges, sizes=[1.6, 3.9, 1.56], rotations=[0,

second/core/anchor_generator.py:48

Method__init__

(self, sampled_list, name=None, epoch=None, shuffle=True, drop_reminder=False)

second/core/preprocess.py:18

Method__init__

(self, removed_difficulties)

second/core/preprocess.py:63

Method__init__

(self, min_gt_point_dict)

second/core/preprocess.py:78

Method__init__

(self, preprocessors)

second/core/preprocess.py:94

Method__init__

(self, linear_dim=False, vec_encode=False)

second/core/box_coders.py:31

Method__init__

(self, box_coder, anchor_generators, region_similarity_calc

second/core/target_assigner.py:7

Method__init__

(self, voxel_size, point_cloud_range, max_num_points,

second/core/voxel_generator.py:7

Method__init__

(self, distance_norm, with_rotation=False, rotation_alpha=0.5)

second/core/region_similarity.py:102

Method__init__

(self)

second/core/inference.py:12

Method__init__

(self, info_path, root_path, num_point_features, target_assigner, feature_map_size, prep_func

second/data/dataset.py:30

Method__init__

(self)

second/pytorch/inference.py:16

Method__init__

(self, sigma=3.0, code_weights=None, codewise=True)

second/pytorch/core/losses.py:158

Method__init__

Constructor. Args: gamma: exponent of the modulating factor (1 - p_t) ^ gamma. alpha: optional alpha weighting factor to balance posi

second/pytorch/core/losses.py:257

Method__init__

Constructor. Args: gamma: exponent of the modulating factor (1 - p_t) ^ gamma. alpha: optional alpha weighting factor to balance posi

second/pytorch/core/losses.py:318

Method__init__

Constructor. Args: logit_scale: When this value is high, the prediction is "diffused" and when this value is low, the pr

second/pytorch/core/losses.py:375

Method__init__

Constructor. Args: alpha: a float32 scalar tensor between 0 and 1 representing interpolation weight bootstrap_type: set to ei

second/pytorch/core/losses.py:426

Method__init__

(self, in_channels, out_channels, use_norm=True, name='vfe')

second/pytorch/models/voxelnet.py:42

Method__init__

(self, num_input_features=4, use_norm=True, num_filters=[32

second/pytorch/models/voxelnet.py:75

Method__init__

(self, num_input_features=4, use_norm=True, num_filters=[32

second/pytorch/models/voxelnet.py:133

Method__init__

(self, output_shape, use_norm=True, num_input_features=128,

second/pytorch/models/voxelnet.py:193

Method__init__

(self, padding)

second/pytorch/models/voxelnet.py:264

Method__init__

(self, output_shape, use_norm=True, num_input_features=128,

second/pytorch/models/voxelnet.py:269

Method__init__

(self, output_shape, num_class=2, num_input_features=4,

second/pytorch/models/voxelnet.py:490

Method__init__

Pillar Feature Net. The network prepares the pillar features and performs forward pass through PFNLayers. This net performs a

second/pytorch/models/pointpillars.py:67

Method__init__

Point Pillar's Scatter. Converts learned features from dense tensor to sparse pseudo image. This replaces SECOND's second.pyt

second/pytorch/models/pointpillars.py:152

Method__init__

(self, dataset)

second/pytorch/builder/input_reader_builder.py:35

Method__init__

(self, *args, **kw)

torchplus/tools.py:35

Method__init__

(self, dim=1, ignore_idx=-1, threshold=0.5,

torchplus/metrics.py:28

Method__init__

(self, dim=1, ignore_idx=-1, threshold=0.5)

torchplus/metrics.py:77

Method__init__

(self, dim=1, ignore_idx=-1, threshold=0.5)

torchplus/metrics.py:127

Method__init__

(self, dim=1, ignore_idx=-1, thresholds=0.5,

torchplus/metrics.py:196

Method__init__

(self, *args, **kwargs)

torchplus/nn/modules/common.py:50

Method__init__

(self, num_channels, num_groups, eps=1e-5, affine=True)

torchplus/nn/modules/normalization.py:5

Method__init__

(self, optimizer, scale=None, auto_scale=True,

torchplus/train/optim.py:42

Method__init__

(self, optimizer, last_step=-1)

torchplus/train/learning_schedules.py:7

Method__init__

(self, optimizer, boundaries, rates, last_step=-1)

torchplus/train/learning_schedules.py:60

Method__init__

(self, optimizer, learning_rate_decay_steps, learning_rate_

torchplus/train/learning_schedules.py:94

Method__init__

(self, optimizer, learning_rate_decay_steps, learning_rate_

torchplus/train/learning_schedules.py:121

Method__init__

(self, optimizer, total_steps, warmup_learning_rate,

torchplus/train/learning_schedules.py:146

Method__init__

(self, cfg_path)

scripts/frustumPP_ros_kitti.py:253

Method__init__

(self, config_path, ckpt_path, label_dir = None)

scripts/frustumPP_ros_kitti.py:285

Method__init__

(self, cfg_path)

scripts/frustumPP_ros_bag.py:280

Method__init__

(self, calib_path, config_path, ckpt_path)

scripts/frustumPP_ros_bag.py:312

Method__init__

(self, cfg_path)

scripts/pointpillar_ros.py:132

Method__init__

(self, calib_path, config_path, ckpt_path)

scripts/pointpillar_ros.py:164

Method__init__

(self, cfg_path)

scripts/frustumPP_results.py:64

Method__init__

(self, config_path, ckpt_path, result_path, class_names)

scripts/frustumPP_results.py:96

Method__len__

(self)

second/data/dataset.py:24

Method__len__

(self)

second/data/dataset.py:56

Method__len__

(self)

second/pytorch/builder/input_reader_builder.py:38

Method__len__

(self)

torchplus/nn/modules/common.py:75

Method__repr__

(self)

torchplus/train/optim.py:76

Method__setstate__

(self, state)

torchplus/train/optim.py:73

Function_box_single_to_corner_jit

(boxes)

second/core/preprocess.py:229

Method_build

(self)

second/pytorch/inference.py:21

Method_compare

Compute pairwise IOU similarity between the two BoxLists. Args: boxlist1: BoxList holding N boxes. boxlist2: BoxList holding M boxes.

second/core/region_similarity.py:59

Method_compare

Compute matrix of (negated) sq distances. Args: boxlist1: BoxList holding N boxes. boxlist2: BoxList holding M boxes. Returns:

second/core/region_similarity.py:80

Method_compare

Compute matrix of (negated) sq distances. Args: boxlist1: BoxList holding N boxes. boxlist2: BoxList holding M boxes. Returns:

second/core/region_similarity.py:107

Method_compute_loss

Compute loss function. Args: prediction_tensor: A float tensor of shape [batch_size, num_anchors, code_size] representing the (enco

second/pytorch/core/losses.py:127

Method_compute_loss

Compute loss function. Args: prediction_tensor: A float tensor of shape [batch_size, num_anchors, code_size] representing the (enco

second/pytorch/core/losses.py:167

Method_compute_loss