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Functions112 in github.com/StevenWang30/R-PCC

↓ 7 callersMethodrange_image_to_point_cloud
(self, range_image)
dataset/transformer.py:94
↓ 6 callersMethodintra_predict
(self, seg_idx, model_param)
utils/segment_utils.py:219
↓ 5 callersFunctioncalc_chamfer_distance
(points1, points2, f1_threshold=0.02, out=True)
utils/evaluate_metrics.py:9
↓ 5 callersMethodcompress
(self, np_array)
utils/compress_utils.py:267
↓ 5 callersMethodextract_contour
Example: idx_map: 1 1 1 1 2 3 2 2 1 2 3 2 1 1 2 3
utils/contour_utils.py:180
↓ 5 callersFunctionmake_cpp_ext
(name, module, sources)
setup.py:19
↓ 5 callersMethodset_method
(self, method_name)
utils/compress_utils.py:250
↓ 4 callersFunctionbuild_dataset
(datalist=None, dataset_name=None, lidar_type=None, use_radius_outlier_removal=False)
dataset/__init__.py:52
↓ 4 callersFunctioncalc_point_to_point_plane_psnr
(points1, points2, idx1=None, idx2=None, r=59.7, out=True)
utils/evaluate_metrics.py:48
↓ 4 callersFunctioncompare_point_clouds
(pc1, pc2, vis_all=False, save_path=None, save=True, vis=False, output=True)
utils/visualize_utils.py:44
↓ 4 callersMethoddecompress
(self, bitstream)
utils/compress_utils.py:275
↓ 4 callersFunctiondecompress_point_cloud
(compressed_data, basic_compressor, model_num, H, W)
utils/compress_utils.py:199
↓ 4 callersMethoddequantize_residual
(self, quantized_residual, seg_idx, salience_level=None)
utils/compress_utils.py:114
↓ 4 callersFunctionload_compressor_cfg
(yaml_file)
utils/utils.py:18
↓ 4 callersMethodload_data
(self, file)
dataset/dataset.py:43
↓ 4 callersFunctionmark_as_picked
ops/cpp_modules/src/cpp_modules.cpp:10
↓ 4 callersFunctiono3d_draw_pcd
(o3d_pcd)
utils/visualize_utils.py:11
↓ 4 callersFunctionpsnr
(x, max_energy)
utils/evaluate_metrics.py:126
↓ 4 callersFunctionread_compressed_bitstream
(file, uniform=True)
utils/compress_utils.py:182
↓ 3 callersMethodcalc_plane_residual_depth
plane_param: 4 (ax + by + cz + d) transform_map: [A, B, C] for {x, y, z} --> x = A * depth, y = B * depth, z = C * depth
utils/segment_utils.py:54
↓ 3 callersMethodload_range_image_points_from_file
(self, file)
dataset/dataset.py:65
↓ 3 callersMethodpoint_cloud_to_range_image
(self, point_cloud)
dataset/transformer.py:62
↓ 3 callersMethodsegment
(self, point_cloud, range_image, segment_cfg, cpu=True)
utils/segment_utils.py:95
↓ 2 callersMethodcalc_cluster_residual_radius
(self, point_cloud, cluster_param, cpu=True)
utils/segment_utils.py:18
↓ 2 callersMethodcalc_plane_residual_vertical
plane_param: 4 (ax + by + cz + d) point to plane: d = |ax + by + cz + d| / sqrt(a**2 + b**2 + c**2) output: resid
utils/segment_utils.py:38
↓ 2 callersMethodcluster_modeling
(self, point_cloud, range_image, seg_idx, model_cfg)
utils/segment_utils.py:172
↓ 2 callersFunctioncompress_point_cloud
(basic_compressor, plane_param, cluster_idx, salience_level, nonzero_residual_quantized,
utils/compress_utils.py:138
↓ 2 callersMethodquantize_residual
(self, residual, seg_idx, point_cloud=None, range_image=None)
utils/compress_utils.py:57
↓ 2 callersMethodransac_plane_segmentation
(point_cloud, threshold=0.1, ransac_n=10, num_iterations=100)
utils/segment_utils.py:75
↓ 2 callersMethodrecover_map
(contour_map, idx_sequence)
utils/contour_utils.py:209
↓ 2 callersFunctionsave_compressed_bitstream
(file, compressed_data, uniform=True)
utils/compress_utils.py:167
↓ 2 callersMethodsave_point_cloud_to_file
(self, file, point_cloud, color=None)
dataset/dataset.py:72
↓ 1 callersFunctionassign_attr
Given point sets x1 and x2, transfers attributes attr1 from x1 to x2. idx1: N2 array containing the nearest neighbors indices of x2 in x1 idx2
utils/evaluate_metrics.py:107
↓ 1 callersMethodbzip2_compress
(np_array)
utils/compress_utils.py:297
↓ 1 callersMethodbzip2_decompress
(data)
utils/compress_utils.py:301
↓ 1 callersMethodcalculate_horizon_angle
(self, points)
dataset/transformer.py:59
↓ 1 callersMethodcalculate_vertical_angle
(self, points)
dataset/transformer.py:56
↓ 1 callersFunctioncompress
()
tools/compress.py:44
↓ 1 callersFunctioncompress
()
tools/compress_datalist.py:48
↓ 1 callersMethodcompress_dict
(self, data_dict)
utils/compress_utils.py:255
↓ 1 callersFunctioncompute_point_cloud_normal
(points)
utils/evaluate_metrics.py:130
↓ 1 callersMethodconvert
(self, x_s, y_s, z_s)
dataset/datasets/nclt_dataset.py:57
↓ 1 callersMethodcreate_transform_map
(self)
dataset/transformer.py:41
↓ 1 callersFunctiondecompress
()
tools/decompress_datalist.py:48
↓ 1 callersFunctiondecompress
()
tools/decompress.py:45
↓ 1 callersMethoddecompress_dict
(self, data_dict)
utils/compress_utils.py:261
↓ 1 callersFunctionextract_features_without_ground
(range_image, seg_idx, feature_region=3, segments=8, sharp_num=4, less_sharp_num=8, flat_num=6)
utils/compress_utils.py:27
↓ 1 callersMethodgzip_compress
(np_array)
utils/compress_utils.py:305
↓ 1 callersMethodgzip_decompress
(data)
utils/compress_utils.py:309
↓ 1 callersMethodindex_decoder
(self)
utils/contour_utils.py:86
↓ 1 callersMethodindex_encoder
(self)
utils/contour_utils.py:58
↓ 1 callersMethodload_original_utf8_data
(self, file)
dataset/datasets/nclt_dataset.py:36
↓ 1 callersMethodlz4_compress
(np_array)
utils/compress_utils.py:289
↓ 1 callersMethodlz4_decompress
(data)
utils/compress_utils.py:293
↓ 1 callersFunctionmake_cuda_ext
(name, module, sources)
setup.py:11
↓ 1 callersMethodplane_angle_validation
(self, plane_model, scan_idx, angle_threshold_scan_with_normal)
utils/segment_utils.py:84
↓ 1 callersFunctionsave_point_cloud_to_pcd
(pc_data, save_path=None, color=None, save=True, vis=False, output=True)
utils/visualize_utils.py:24
FunctionPYBIND11_MODULE
feature extractor
ops/cpp_modules/src/cpp_modules.cpp:597
FunctionPYBIND11_MODULE
ops/fps/src/fps_api.cpp:7
Method__getitem__
(self, index)
dataset/dataset.py:26
Method__getitem__
(self, index)
dataset/datasets/faro_focus_dataset.py:15
Method__init__
(self, contour_map, original_idx_map=None, compresed_idx=None)
utils/contour_utils.py:9
Method__init__
(self, transform_map, plane_num=1)
utils/segment_utils.py:13
Method__init__
(self, base_accuracy, level_kp_num=(30, 10, 3, 0), level_dacc=(0, 0.02, 0.04, 0.06), ground_s
utils/compress_utils.py:36
Method__init__
(self, compressor_yaml=None, method_name=None)
utils/compress_utils.py:233
Method__init__
(self, datalist, dataset_cfg, channel_distribute_csv=None, use_radius_outlier_removal=False)
dataset/dataset.py:8
Method__init__
(self, lidar_cfg=None, channel_distribute_csv=None)
dataset/transformer.py:12
Method__init__
(self, datalist=None, dataset_cfg=None, channel_distribute_csv=None, use_radius_outlier_removal=False)
dataset/datasets/nclt_dataset.py:9
Method__init__
(self, datalist=None, dataset_cfg=None, channel_distribute_csv=None, use_radius_outlier_removal=False)
dataset/datasets/hkust_dataset.py:10
Method__init__
(self, datalist=None, dataset_cfg=None, channel_distribute_csv=None, use_radius_outlier_removal=False)
dataset/datasets/kitti_dataset.py:10
Method__init__
(self, datalist=None, dataset_cfg=None, channel_distribute_csv=None, use_radius_outlier_removal=False)
dataset/datasets/faro_focus_dataset.py:11
Method__init__
(self, datalist=None, dataset_cfg=None, channel_distribute_csv=None, use_radius_outlier_removal=False)
dataset/datasets/oxford_dataset.py:10
Method__len__
(self)
dataset/dataset.py:23
Methodbackward
(xyz, a=None)
ops/fps/fps_utils.py:32
Functionbit_size
(data)
utils/utils.py:10
Methodcalc_cluster_residual_depth
(self, range_image, cluster_param, cpu=True)
utils/segment_utils.py:29
Methodcalc_compressed_bytes
(self, np_array)
utils/compress_utils.py:283
Functionchange_background_to_black
(vis)
utils/visualize_utils.py:12
Functioncompress_dataset
(index)
tools/compress_datalist.py:91
Functioncompress_plane_idx_map
(plane_idx, single_line=True)
utils/compress_utils.py:217
Functiondecompress_datalist
(file_path)
tools/decompress_datalist.py:94
Functiondraw_qualitative_point_clouds
(pc1, pc2, vis_all=False, save_path=None, save=True, vis=False, output=True)
utils/visualize_utils.py:77
Functionextract_contour
ops/cpp_modules/src/cpp_modules.cpp:521
Methodextract_contour
Example: idx_map: 1 1 1 1 2 3 2 2 1 2 3 2 1 1
utils/contour_utils.py:124
Functionextract_features
ops/cpp_modules/src/cpp_modules.cpp:125
Functionextract_features
(range_image, feature_region=3, segments=8, sharp_num=4, less_sharp_num=8, flat_num=6)
utils/compress_utils.py:20
Functionextract_features_with_segment
ops/cpp_modules/src/cpp_modules.cpp:28
Methodforward
Uses iterative furthest point sampling to select a set of npoint features that have the largest minimum distance :param ctx:
ops/fps/fps_utils.py:12
Functionfurthest_point_sampling_wrapper
ops/fps/src/sampling.cpp:24
Functionintra_predict
ops/cpp_modules/src/cpp_modules.cpp:248
Functionnonuniform_quantize
ops/cpp_modules/src/cpp_modules.cpp:337
Functionnp_size
(data)
utils/utils.py:14
Functionpoint_cloud_to_range_image_even
ops/cpp_modules/src/cpp_modules.cpp:427
Functionpoint_modeling
ops/cpp_modules/src/cpp_modules.cpp:471
Methodpreprocess_original_utf8_to_bin_file
(self, data_root='/data/NCLT_Dataset_32E_LiDAR')
dataset/datasets/nclt_dataset.py:13
Methodpreprocess_pcd_to_bin
(self, data_root='/data/HKUST_campus_VLP16/point_clouds')
dataset/datasets/hkust_dataset.py:14
Methodpreprocess_pcd_to_bin
(self, data_root='/data/Oxford_32E_dataset/point_cloud')
dataset/datasets/oxford_dataset.py:14
Methodpreprocess_txt_to_bin
(self, data_root='/data/KITTI_rawdata/city_unsync')
dataset/datasets/kitti_dataset.py:14
Functionrecover_map
ops/cpp_modules/src/cpp_modules.cpp:561
Methodrecover_map
(contour_map, idx_sequence)
utils/contour_utils.py:172
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