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Functions369 in github.com/atenpas/gpd

↓ 1 callersMethodgetMinInliers
* \brief Return the minimum number of cluster inliers. * \return the minimum number of cluster inliers */
include/gpd/clustering.h:75
↓ 1 callersFunctiongetTransform
(calibration, viewpoint_camera, referenceCamera, transformation)
contrib/multiple_transform.py:16
↓ 1 callersFunctiongetTransform
(calibration, viewpoint_camera, referenceCamera, transformation)
contrib/transform.py:16
↓ 1 callersFunctionhandToTransform4x4
src/detect_grasps_python.cpp:343
↓ 1 callersMethodloadPointCloudFromFile
src/gpd/util/cloud.cpp:643
↓ 1 callersMethodplotAntipodalHands
src/gpd/util/plot.cpp:254
↓ 1 callersMethodplotHandGeometry
src/gpd/util/plot.cpp:9
↓ 1 callersMethodplotLocalAxes
src/gpd/util/plot.cpp:670
↓ 1 callersMethodplotValidHands
src/gpd/util/plot.cpp:280
↓ 1 callersMethodplotVolumes3D
src/gpd/util/plot.cpp:97
↓ 1 callersMethodpruneGraspCandidates
src/gpd/grasp_detector.cpp:529
↓ 1 callersMethodreevaluateHypotheses
src/gpd/candidate/hand_search.cpp:66
↓ 1 callersMethodrefineNormals
src/gpd/util/cloud.cpp:176
↓ 1 callersMethodsetGraspWidth
* \brief Set the width of the object contained in the grasp. * \param w the width of the object contained in the grasp */
include/gpd/candidate/hand.h:195
↓ 1 callersMethodsetSample
* \brief Set the center of the point neighborhood. * \param sample the center of the point neighborhood */
include/gpd/candidate/hand_set.h:182
↓ 1 callersMethodsetSamples
src/gpd/util/cloud.cpp:662
↓ 1 callersMethodsubsampleUniformly
src/gpd/util/cloud.cpp:364
↓ 1 callersFunctiontrain
(model, criterion, optimizer, data, device)
pytorch/train_net3.py:19
↓ 1 callersFunctiontrain
(model, criterion, optimizer, data, device)
pytorch/train_net_zarr.py:55
↓ 1 callersFunctionwrite_multiple_channels
* creating, reading and writing multiple-channel matrices * are the same with single channel matrices */
src/tests/test_hdf5.cpp:56
↓ 1 callersFunctionwrite_root_group_single_channel
src/tests/test_hdf5.cpp:6
↓ 1 callersFunctionwrite_single_channel
src/tests/test_hdf5.cpp:26
MethodAntipodal
include/gpd/candidate/antipodal.h:57
MethodCaffeClassifier
src/gpd/net/caffe_classifier.cpp:6
MethodCandidatesGenerator
src/gpd/candidate/candidates_generator.cpp:6
MethodCloud
src/gpd/util/cloud.cpp:11
MethodClustering
* \brief Constructor. * \param min_inliers the minimum number of grasps a cluster is required to * contain */
include/gpd/clustering.h:59
MethodConfigFile
src/gpd/util/config_file.cpp:106
MethodConvLayer
src/gpd/net/conv_layer.cpp:6
FunctionCopyAndFree
src/detect_grasps_python.cpp:603
MethodDataGenerator
src/gpd/data_generator.cpp:10
MethodDenseLayer
* \brief Contructor. * \param num_units number of units/neurons in this layer */
include/gpd/net/dense_layer.h:59
MethodEigenClassifier
src/gpd/net/eigen_classifier.cpp:6
MethodFingerHand
src/gpd/candidate/finger_hand.cpp:6
MethodFingerHand
* \brief Default constructor. */
include/gpd/candidate/finger_hand.h:57
MethodFrameEstimator
* \brief Constructor. * \param num_threads the number of CPU threads to be used */
include/gpd/candidate/frame_estimator.h:64
MethodGraspDetector
src/gpd/grasp_detector.cpp:5
MethodHand
src/gpd/candidate/hand.cpp:6
MethodHandGeometry
src/gpd/candidate/hand_geometry.cpp:6
MethodHandSearch
src/gpd/candidate/hand_search.cpp:10
MethodHandSet
src/gpd/candidate/hand_set.cpp:16
MethodImage12ChannelsStrategy
* \brief Create a strategy for calculating grasp images. * \param image_params the grasp image parameters * \param num_threads the number of CPU
include/gpd/descriptor/image_12_channels_strategy.h:64
MethodImage15ChannelsStrategy
* \brief Create a strategy for calculating grasp images. * \param image_params the grasp image parameters * \param num_threads the number of CPU
include/gpd/descriptor/image_15_channels_strategy.h:66
MethodImage1ChannelsStrategy
* \brief Create a strategy for calculating grasp images. * \param image_params the grasp image parameters * \param num_threads the number of CPU
include/gpd/descriptor/image_1_channels_strategy.h:62
MethodImage3ChannelsStrategy
* \brief Create a strategy for calculating grasp images. * \param image_params the grasp image parameters * \param num_threads the number of CPU
include/gpd/descriptor/image_3_channels_strategy.h:62
MethodImageGenerator
src/gpd/descriptor/image_generator.cpp:6
MethodImageGeometry
src/gpd/descriptor/image_geometry.cpp:6
MethodImageStrategy
* \brief Constructor. * \param image_params the grasp image parameters * \param num_threads the number of CPU threads to be used * \param num
include/gpd/descriptor/image_strategy.h:79
MethodInstance
include/gpd/data_generator.h:64
MethodLabel
include/gpd/candidate/hand.h:57
MethodLocalFrame
* \brief Constructor. * \param T_cams the camera poses * \param sample the sample for which the point neighborhood was found */
include/gpd/candidate/local_frame.h:57
MethodOpenVinoClassifier
src/gpd/net/openvino_classifier.cpp:15
MethodPlot
* \brief Constructor. * \param num_axes the number of orientation axes * \param num_orientations the number of hand orientations */
include/gpd/util/plot.h:66
MethodPointList
src/gpd/util/point_list.cpp:6
MethodPointList
* \brief Default constructor. */
include/gpd/util/point_list.h:62
MethodSequentialImportanceSampling
src/gpd/sequential_importance_sampling.cpp:11
MethodT_to_string
include/gpd/util/config_file.h:122
Method__getitem__
(self, index)
pytorch/hdf5_loader.py:17
Method__getitem__
(self, index)
pytorch/overfit.py:20
Method__getitem__
(self, index)
pytorch/train_net2.py:23
Method__getitem__
(self, index)
pytorch/train_net_multiple_workers.py:23
Method__getitem__
(self, index)
pytorch/train_net4.py:23
Method__getitem__
(self, index)
pytorch/hdf5_dataset.py:16
Method__getitem__
(self, index)
pytorch/train_net.py:17
Method__getitem__
(self, index)
pytorch/reshape_hdf5.py:17
Method__getitem__
(self, index)
pytorch/train_net_zarr.py:24
Method__getitem__
(self, index)
pytorch/zarr_loader.py:18
Method__init__
(self, input_channels)
pytorch/network.py:14
Method__init__
(self, file_path)
pytorch/hdf5_loader.py:11
Method__init__
(self, file_path, start_idx, end_idx)
pytorch/overfit.py:13
Method__init__
(self, file_path, start_idx, end_idx)
pytorch/train_net2.py:16
Method__init__
(self, file_path, start_idx, end_idx)
pytorch/train_net_multiple_workers.py:16
Method__init__
(self, file_path)
pytorch/train_net4.py:16
Method__init__
(self, file_path, start=0, end=None)
pytorch/hdf5_dataset.py:9
Method__init__
(self, file_path)
pytorch/train_net.py:11
Method__init__
(self, file_path)
pytorch/reshape_hdf5.py:10
Method__init__
(self, file_path, start_idx, end_idx)
pytorch/train_net_zarr.py:16
Method__init__
(self, file_path)
pytorch/zarr_loader.py:12
Method__len__
(self)
pytorch/hdf5_loader.py:21
Method__len__
(self)
pytorch/overfit.py:27
Method__len__
(self)
pytorch/train_net2.py:30
Method__len__
(self)
pytorch/train_net_multiple_workers.py:30
Method__len__
(self)
pytorch/train_net4.py:34
Method__len__
(self)
pytorch/hdf5_dataset.py:23
Method__len__
(self)
pytorch/train_net.py:24
Method__len__
(self)
pytorch/reshape_hdf5.py:21
Method__len__
(self)
pytorch/train_net_zarr.py:31
Method__len__
(self)
pytorch/zarr_loader.py:22
MethodaddCloudNormalsToViewer
src/gpd/util/plot.cpp:724
MethodaddDimensions
src/gpd/util/plot.cpp:63
MethodaddDoubleArrow
src/gpd/util/plot.cpp:78
MethodaddInstances
src/gpd/data_generator.cpp:432
FunctionaugmentedCloudToCloud
src/detect_grasps_python.cpp:137
MethodbalanceInstances
src/gpd/data_generator.cpp:406
FunctioncalcGraspDescriptors
src/detect_grasps_python.cpp:579
FunctioncalcGraspDescriptorsAtIndices
src/detect_grasps_python.cpp:551
MethodcalculateChannels
src/gpd/descriptor/image_12_channels_strategy.cpp:71
MethodcalculateChannels
src/gpd/descriptor/image_15_channels_strategy.cpp:86
MethodcalculateFrame
src/gpd/candidate/frame_estimator.cpp:66
MethodcalculateGraspPositions
src/gpd/candidate/hand.cpp:41
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