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Functions825 in github.com/AlexGeControl/3D-Point-Cloud-Analytics

⨍ Functions 825◇ Types & classes 125↳ Endpoints 2
↓ 3 callersMethodforward_pass
Forward propagation ---
workspace/assignments/project-01-kitti-detection-pipeline/pointnet++/models/cls_msg_model.py:69
↓ 3 callersMethodforward_pass
(self, input, training)
workspace/assignments/project-01-kitti-detection-pipeline/pointnet++/models/sem_seg_model.py:104
↓ 3 callersMethodforward_pass
(self, input, training)
workspace/assignments/project-01-kitti-detection-pipeline/pointnet++/models/cls_ssg_model.py:70
↓ 3 callersMethodforward_pass
Forward propagation ---
workspace/assignments/05-deep-classification/models/cls_msg_model.py:68
↓ 3 callersMethodforward_pass
(self, input, training)
workspace/assignments/05-deep-classification/models/sem_seg_model.py:104
↓ 3 callersMethodforward_pass
(self, input, training)
workspace/assignments/05-deep-classification/models/cls_ssg_model.py:70
↓ 3 callersFunctionh
()
image/usr/lib/web/static/scripts/9cd97fdd.vendor.js:1
↓ 3 callersFunctionload_dataset
Load dataset Parameters ---------- input_filename: str Filename of dataset as TFRecord. batch_size: int Mini-batch size.
workspace/assignments/project-01-kitti-detection-pipeline/pointnet++/train_modelnet.py:27
↓ 3 callersFunctionload_dataset
Load dataset Parameters ---------- input_filename: str Filename of dataset as TFRecord. batch_size: int Mini-batch size.
workspace/assignments/05-deep-classification/train_modelnet.py:27
↓ 3 callersFunctionmake_event
(name, props)
image/usr/lib/noVNC/tests/fake.websocket.js:5
↓ 3 callersFunctionmake_image_canvas
(input_data)
image/usr/lib/noVNC/tests/test.display.js:18
↓ 3 callersFunctionp
(a)
image/usr/lib/web/static/scripts/9cd97fdd.vendor.js:1
↓ 3 callersFunctionrandomf
workspace/assignments/project-01-kitti-detection-pipeline/pointnet++/tf_ops/3d_interpolation/interpolate.cpp:9
↓ 3 callersFunctionrandomf
workspace/assignments/05-deep-classification/tf_ops/3d_interpolation/interpolate.cpp:9
↓ 3 callersFunctionread_off
(filename)
workspace/assignments/01-introduction/00_off_to_ply.py:15
↓ 3 callersFunctionread_reg_results
(file_path, splitter=',')
workspace/data/registration_dataset/evaluate_rt.py:53
↓ 3 callersMethodrecv_frames
Receive and decode Websocket frames Returns: [bufs_list, closed_string]
image/usr/lib/noVNC/utils/websockify/other/websocket.rb:272
↓ 3 callersMethodrecvmsg
Read a single message from the WebSocket. This will return a single WebSocket message from the socket. If the socket is closed then a
image/usr/lib/noVNC/utils/websockify/websockify/websocket.py:360
↓ 3 callersFunctionreg_result_row_to_array
(reg_result_row)
workspace/data/registration_dataset/evaluate_rt.py:65
↓ 3 callersFunctions
(a,b)
image/usr/lib/web/static/scripts/9cd97fdd.vendor.js:1
↓ 3 callersFunctionsend
(msg)
image/usr/lib/noVNC/utils/websockify/tests/echo_client.py:26
↓ 3 callersMethodterminate
(self)
image/usr/lib/noVNC/utils/websockify/websockify/websockifyserver.py:595
↓ 3 callersFunctionv
(a,b)
image/usr/lib/web/static/scripts/9cd97fdd.vendor.js:1
↓ 3 callersFunctiony
(b,c)
image/usr/lib/web/static/scripts/9cd97fdd.vendor.js:1
↓ 2 callersFunctionC
(a,b)
image/usr/lib/web/static/scripts/9cd97fdd.vendor.js:1
↓ 2 callersFunctionE
(a,b,c,d,e)
image/usr/lib/web/static/scripts/9cd97fdd.vendor.js:1
↓ 2 callersFunctionH
()
image/usr/lib/web/static/scripts/9cd97fdd.vendor.js:1
↓ 2 callersFunctionN
(a)
image/usr/lib/web/static/scripts/9cd97fdd.vendor.js:1
↓ 2 callersFunctionO
(a,b,c,d)
image/usr/lib/web/static/scripts/9cd97fdd.vendor.js:1
↓ 2 callersFunctionPCA
Calculate PCA for given point cloud Parameters ---------- data：点云，NX3的矩阵 correlation：区分np的cov和corrcoef，不输入时默认为False
workspace/assignments/01-introduction/01_pca_normal.py:12
↓ 2 callersFunctionQ
(a,b,c)
image/usr/lib/web/static/scripts/9cd97fdd.vendor.js:1
↓ 2 callersFunctionR
(a,b,c,d)
image/usr/lib/web/static/scripts/9cd97fdd.vendor.js:1
↓ 2 callersFunctionS
(a,b,c,d)
image/usr/lib/web/static/scripts/9cd97fdd.vendor.js:1
↓ 2 callersFunctionT
()
image/usr/lib/web/static/scripts/9cd97fdd.vendor.js:1
↓ 2 callersFunctionV
(a)
image/usr/lib/web/static/scripts/9cd97fdd.vendor.js:1
↓ 2 callersMethod__assign
Assign data point to centroids of minimum L2 distance Parameters ---------- data: numpy.ndarray Training
workspace/assignments/03-clustering/KMeans.py:179
↓ 2 callersMethod__do_search
kNN & RNN search implementation Parameters ---------- root: KDTree.Node KDTree root query: nump
workspace/assignments/02-nearest-neighbor/kdtree.py:223
↓ 2 callersMethod__floats_feature
Returns a float_list from a numpy.ndarray.
workspace/assignments/project-01-kitti-detection-pipeline/pointnet++/preprocess.py:207
↓ 2 callersMethod__floats_feature
Returns a float_list from a numpy.ndarray.
workspace/assignments/05-deep-classification/preprocess.py:204
↓ 2 callersMethod__get_expectation
Update posteriori Parameters ---------- data: numpy.ndarray Training set as N-by-D numpy.ndarray
workspace/assignments/03-clustering/GMM.py:150
↓ 2 callersMethod__get_label
Get label of example Parameters ---------- filename_example: str Short filename of example.
workspace/assignments/project-01-kitti-detection-pipeline/pointnet++/preprocess.py:116
↓ 2 callersMethod__get_label
Get label of example Parameters ---------- filename_example: str Short filename of example.
workspace/assignments/05-deep-classification/preprocess.py:113
↓ 2 callersMethod__init__
(self, src=None)
image/usr/lib/noVNC/utils/websockify/websockify/auth_plugins.py:2
↓ 2 callersMethod__init__
Creates an unconnected WebSocket
image/usr/lib/noVNC/utils/websockify/websockify/websocket.py:83
↓ 2 callersMethod__init__
( self, npoint, radius, nsample, mlp, group_all=False, knn=False, use_xyz=True, activation=tf.nn.relu, bn=Fa
workspace/assignments/project-01-kitti-detection-pipeline/pointnet++/pnet2_layers/layers.py:9
↓ 2 callersMethod__init__
( self, npoint, radius, nsample, mlp, group_all=False, knn=False, use_xyz=True, activation=tf.nn.relu, bn=Fa
workspace/assignments/05-deep-classification/pnet2_layers/layers.py:9
↓ 2 callersMethod__load_examples
Load examples Parameters ---------- filename_split: str Filename of split specification.
workspace/assignments/project-01-kitti-detection-pipeline/pointnet++/preprocess.py:99
↓ 2 callersMethod__load_examples
Load examples Parameters ---------- filename_split: str Filename of split specification.
workspace/assignments/05-deep-classification/preprocess.py:96
↓ 2 callersMethod_get_server
(self, handler_class=websockifyserver.WebSockifyRequestHandler, **kwargs)
image/usr/lib/noVNC/utils/websockify/tests/test_websockifyserver.py:89
↓ 2 callersMethod_load_targets
(self)
image/usr/lib/noVNC/utils/websockify/websockify/token_plugins.py:19
↓ 2 callersMethod_recv
(self)
image/usr/lib/noVNC/utils/websockify/websockify/websocket.py:503
↓ 2 callersMethod_recvmsg
(self)
image/usr/lib/noVNC/utils/websockify/websockify/websocket.py:555
↓ 2 callersMethod_sendmsg
(self, opcode, msg)
image/usr/lib/noVNC/utils/websockify/websockify/websocket.py:681
↓ 2 callersMethod_unmask
(self, buf, mask)
image/usr/lib/noVNC/utils/websockify/websockify/websocket.py:704
↓ 2 callersFunctionadd_label
Add new label for extracted classification dataset Parameters ---------- dataset_label: dict label container for extracted c
workspace/assignments/project-01-kitti-detection-pipeline/extract.py:309
↓ 2 callersFunctionalloc_ws_ctx
image/usr/lib/noVNC/utils/websockify/other/websocket.c:103
↓ 2 callersMethodbuild
(self, input_shape)
workspace/assignments/project-01-kitti-detection-pipeline/pointnet++/pnet2_layers/layers.py:27
↓ 2 callersMethodbuild
(self, input_shape)
workspace/assignments/project-01-kitti-detection-pipeline/pointnet++/pnet2_layers/utils.py:72
↓ 2 callersMethodbuild
(self, input_shape)
workspace/assignments/05-deep-classification/pnet2_layers/layers.py:27
↓ 2 callersMethodbuild
(self, input_shape)
workspace/assignments/05-deep-classification/pnet2_layers/utils.py:72
↓ 2 callersFunctiondecode_hixie
image/usr/lib/noVNC/utils/websockify/other/websocket.c:226
↓ 2 callersFunctiondecode_hybi
image/usr/lib/noVNC/utils/websockify/other/websocket.c:306
↓ 2 callersFunctiondetect
Detect point cloud key points using Intrinsic Shape Signature(ISS) Parameters ---------- point_cloud: Open3D.geometry.PointCloud
workspace/assignments/10-pose-estimation/detection/iss.py:6
↓ 2 callersFunctiondetect
Detect point cloud key points using Intrinsic Shape Signature(ISS) Parameters ---------- point_cloud: Open3D.geometry.PointCloud
workspace/assignments/09-point-cloud-registration/detection/iss.py:6
↓ 2 callersFunctiondo_handshake
image/usr/lib/noVNC/utils/websockify/other/websocket.c:568
↓ 2 callersMethoddo_handshake
do_handshake does the following: - Peek at the first few bytes from the socket. - If the connection is an HTTPS/SSL/TLS conne
image/usr/lib/noVNC/utils/websockify/websockify/websockifyserver.py:497
↓ 2 callersFunctiondo_proxy
image/usr/lib/noVNC/utils/websockify/other/websockify.c:53
↓ 2 callersFunctiondo_send
()
image/usr/lib/noVNC/utils/websockify/tests/include/wsirc.js:32
↓ 2 callersFunctiondo_send
()
image/usr/lib/noVNC/utils/websockify/tests/include/wstelnet.js:46
↓ 2 callersFunctiondo_send
()
image/usr/lib/noVNC/utils/websockify/include/wsirc.js:32
↓ 2 callersFunctiondo_send
()
image/usr/lib/noVNC/utils/websockify/include/wstelnet.js:46
↓ 2 callersFunctiondraw_class_distribution
Visualize class distribution Parameters ---------- labels: dict of pandas.DataFrame labels of the extracted dataset obje
workspace/assignments/project-01-kitti-detection-pipeline/generate-training-set.py:63
↓ 2 callersFunctionenc8
(text)
image/usr/lib/noVNC/core/des.js:188
↓ 2 callersFunctionencode_hixie
image/usr/lib/noVNC/utils/websockify/other/websocket.c:213
↓ 2 callersFunctionerror
image/usr/lib/noVNC/utils/websockify/other/websocket.c:46
↓ 2 callersFunctionexport_ply_points_faces
(pc,fc,filename)
workspace/assignments/01-introduction/00_off_to_ply.py:70
↓ 2 callersFunctionget_P_from_Rt
(R, t)
workspace/data/registration_dataset/evaluate_rt.py:9
↓ 2 callersMethodget_decoder
(self)
workspace/assignments/project-01-kitti-detection-pipeline/pointnet++/preprocess.py:187
↓ 2 callersMethodget_logger
()
image/usr/lib/noVNC/utils/websockify/websockify/websockifyserver.py:397
↓ 2 callersFunctionget_object_category
Map KITTI 3D Object category to that of extracted classification dataset Parameters ---------- object_type: str KITTI 3D Obj
workspace/assignments/project-01-kitti-detection-pipeline/extract.py:388
↓ 2 callersFunctionget_object_pcd_df
Format point cloud with normal as dataframe Parameters ---------- pcd: open3d.PointCloud Velodyne measurements as Open3D Poi
workspace/assignments/project-01-kitti-detection-pipeline/extract.py:362
↓ 2 callersFunctionget_path_cwd
(/* arguments */)
image/usr/lib/noVNC/tests/run_from_console.js:46
↓ 2 callersFunctionget_point_cloud_diameter
Get point cloud diameter by min-max bounding box
workspace/assignments/10-pose-estimation/utils/visualize.py:17
↓ 2 callersFunctionget_point_cloud_diameter
Get point cloud diameter by min-max bounding box
workspace/assignments/09-point-cloud-registration/utils/visualize.py:17
↓ 2 callersFunctionget_spfh
Describe the selected keypoint using Simplified Point Feature Histogram(SPFH) Parameters ---------- point_cloud: Open3D.geometry.Po
workspace/assignments/10-pose-estimation/description/fpfh.py:5
↓ 2 callersFunctionget_spfh
Describe the selected keypoint using Simplified Point Feature Histogram(SPFH) Parameters ---------- point_cloud: Open3D.geometry.Po
workspace/assignments/08-feature-description/description/fpfh.py:5
↓ 2 callersFunctionget_spfh
Describe the selected keypoint using Simplified Point Feature Histogram(SPFH) Parameters ---------- point_cloud: Open3D.geometry.Po
workspace/assignments/09-point-cloud-registration/description/fpfh.py:5
↓ 2 callersFunctiongroup_point
(points, idx)
workspace/assignments/project-01-kitti-detection-pipeline/pointnet++/pnet2_layers/cpp_modules.py:49
↓ 2 callersFunctiongroup_point
(points, idx)
workspace/assignments/05-deep-classification/pnet2_layers/cpp_modules.py:49
↓ 2 callersFunctionhasCharModifier
(charModifier, currentModifiers)
image/usr/lib/noVNC/core/input/util.js:61
↓ 2 callersMethodis_leaf
Whether the node is a leaf
workspace/assignments/02-nearest-neighbor/kdtree.py:53
↓ 2 callersFunctionkeysymFromKeyCode
(keycode, shiftPressed)
image/usr/lib/noVNC/core/input/util.js:204
↓ 2 callersMethodknn_search
K nearest neighbor search Parameters ---------- query : numpy.ndarray query point knn_result_set
workspace/assignments/02-nearest-neighbor/octree.py:78
↓ 2 callersMethodknn_search
K nearest neighbor search Parameters ---------- query : numpy.ndarray query point knn_result_set
workspace/assignments/02-nearest-neighbor/kdtree.py:90
↓ 2 callersFunctionl
(a,b,c)
image/usr/lib/web/static/scripts/9cd97fdd.vendor.js:1
↓ 2 callersFunctionload_dataset
(in_file, batch_size)
workspace/assignments/project-01-kitti-detection-pipeline/pointnet++/train_scannet.py:17
↓ 2 callersFunctionload_dataset
(in_file, batch_size)
workspace/assignments/05-deep-classification/train_scannet.py:17
↓ 2 callersFunctionmake_browserify
(src_files, opts)
image/usr/lib/noVNC/utils/use_require.js:24
↓ 2 callersFunctionmake_image_png
(input_data)
image/usr/lib/noVNC/tests/test.display.js:29
↓ 2 callersFunctionparse_hixie76_key
image/usr/lib/noVNC/utils/websockify/other/websocket.c:518
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