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Functions227 in github.com/KleinYuan/LiCaS3

⨍ Functions 227◇ Types & classes 31
↓ 19 callersFunctionconv_relu
(input, kernel_size, depth, stride=1, activate=True, subscope='0', padding='SAME', initializer=tf.contrib.laye
training/utils/tf_ops.py:15
↓ 15 callersMethodrun
(self, config_fp, *args, **kwargs)
training_data_serialization/data_generator_base.py:27
↓ 10 callersFunctionprint_stats
(metrics)
evaluation/evaluation_over_datasets/utils/metrics.py:4
↓ 10 callersMethodwrite_text
(img, text, x, y, fontColor=(0, 0, 255))
evaluation/evaluation_over_datasets/kitti_mis_sync_scenario_simulator.py:195
↓ 7 callersMethodinference
(self, data, profile_export=None)
evaluation/evaluation_over_datasets/utils/pb_server.py:70
↓ 4 callersMethodcustom_metrics
(labels, predictions, name)
training/models/licas3_model.py:156
↓ 4 callersFunctionpool
(input, size)
training/utils/tf_ops.py:5
↓ 4 callersFunctionresnet_v2_50
(inputs, num_classes=None, is_training=True, global_pool=Tr
training/utils/tf_ops.py:59
↓ 4 callersMethodrun
(self, config_fp, dataset, *args, **kwargs)
evaluation/evaluation_over_datasets/kitti_runner.py:35
↓ 4 callersFunctionupsampling
(input, factor)
training/utils/tf_ops.py:11
↓ 3 callersFunctioncreate_inference_graph
(graph, from_dir, to_dir, to_name, included_tensor_names)
training/utils/inference.py:38
↓ 3 callersMethoddown_sample
(data_info, downsample_ratio)
training_data_serialization/newer_college_labelling_data_genearator.py:400
↓ 3 callersMethoddown_sample
(data_info, downsample_ratio)
training_data_serialization/newer_college_data_generator.py:396
↓ 3 callersFunctionfreeze_graph_from_file
(model_folder, output_file_name, output_node_names)
training/utils/freeze.py:41
↓ 3 callersMethodgenerate_training_paris_and_serialize_to_tfrecords
(self, datasets, config, name)
training_data_serialization/newer_college_data_generator.py:322
↓ 3 callersMethodget_feed_dict
:param next_batch: tensorflow operators to retrieve value from tfrecords :param tensor_dict: a dictionary from compute model includi
training/core/base_trainer.py:83
↓ 3 callersFunctionload_cam_calibrations
(data_fp)
evaluation/evaluation_with_limo/utils/kitti_loader.py:167
↓ 3 callersFunctionload_cam_calibrations
(data_fp)
evaluation/evaluation_over_datasets/utils/kitti_loader.py:167
↓ 3 callersFunctionload_raw_data
Below we only import image_02, left rectified color image This is a helper function that will load all KITTI raw data into memory at once.
evaluation/evaluation_over_datasets/utils/kitti_loader.py:176
↓ 3 callersMethodwrite_text
(img, text, x, y)
training_data_serialization/newer_college_labelling_data_genearator.py:233
↓ 2 callersMethodbatch_run_over_psudo_gt
(self, config, *args, **kwargs)
evaluation/evaluation_over_datasets/newer_college_psudo_gt_runner.py:19
↓ 2 callersFunctioncart2hom
Input: nx3 points in Cartesian Output: nx4 points in Homogeneous by pending 1
training_data_serialization/utils/projection.py:7
↓ 2 callersFunctioncart2hom
Input: nx3 points in Cartesian Output: nx4 points in Homogeneous by pending 1
evaluation/evaluation_with_limo/utils/projection.py:7
↓ 2 callersFunctioncart2hom
Input: nx3 points in Cartesian Output: nx4 points in Homogeneous by pending 1
evaluation/evaluation_over_datasets/utils/projection.py:7
↓ 2 callersMethodcustom_metrics
(labels, predictions, name)
training/models/sl_model.py:123
↓ 2 callersMethodgenerate_demos
(self, config, evaluator)
evaluation/evaluation_over_datasets/kitti_mis_sync_scenario_simulator.py:209
↓ 2 callersMethodget_calibration_mtx
(calibrations, sensors_info)
training_data_serialization/newer_college_labelling_data_genearator.py:38
↓ 2 callersMethodget_calibration_mtx
(calibrations, sensors_info)
training_data_serialization/newer_college_data_generator.py:38
↓ 2 callersMethodget_calibration_mtx
(calibrations, sensors_info)
evaluation/evaluation_over_datasets/newer_college_mis_sync_scenario_simulator.py:32
↓ 2 callersMethodget_calibration_mtx
(calibrations, sensors_info)
evaluation/evaluation_over_datasets/newer_college_psudo_gt_runner.py:30
↓ 2 callersMethodget_calibration_mtx
(calibrations, sensors_info)
evaluation/evaluation_over_datasets/newer_college_gt_runner.py:75
↓ 2 callersFunctionget_depth_map
(pts_xyz, H, W, T, R, datasets_name, P=None, clip_distance=0, get_z_before_norm=False, norm_methods='group', l
training_data_serialization/utils/projection.py:43
↓ 2 callersFunctionget_depth_map
(pts_xyz, H, W, T, R, datasets_name, P=None, clip_distance=0, get_z_before_norm=False, norm_methods='group', l
evaluation/evaluation_with_limo/utils/projection.py:43
↓ 2 callersFunctionget_depth_map
(pts_xyz, H, W, T, R, datasets_name, P=None, clip_distance=0, get_z_before_norm=False, norm_methods='group', l
evaluation/evaluation_over_datasets/utils/projection.py:43
↓ 2 callersFunctionget_iterator_from_tfrecords
!!! Important !!! All features shall be serialized in tf.float32 with FixedLenFeature :param config: Config box instance :param
training/utils/tfrecords.py:27
↓ 2 callersFunctionget_raw_data_stats
This is a helper function that will scan KITTI raw data folder and output stats :param data_fp: absolute folder path :return: - s
evaluation/evaluation_with_limo/utils/kitti_loader.py:94
↓ 2 callersFunctionget_raw_data_stats
This is a helper function that will scan KITTI raw data folder and output stats :param data_fp: absolute folder path :return: - s
evaluation/evaluation_over_datasets/utils/kitti_loader.py:94
↓ 2 callersMethodget_restore_weights_fn
https://www.tensorflow.org/api_docs/python/tf/contrib/framework/get_variables_to_restore :param dir: Directory which you save the pre
training/core/base_model.py:94
↓ 2 callersMethodget_train_ops
(self)
training/core/base_model.py:175
↓ 2 callersFunctionload_raw_data
Below we only import image_02, left rectified color image This is a helper function that will load all KITTI raw data into memory at once.
training_data_serialization/utils/kitti_loader.py:176
↓ 2 callersFunctionload_velo_to_cam_calibrations
(data_fp)
evaluation/evaluation_with_limo/utils/kitti_loader.py:159
↓ 2 callersFunctionload_velo_to_cam_calibrations
(data_fp)
evaluation/evaluation_over_datasets/utils/kitti_loader.py:159
↓ 2 callersFunctionparse_from_kitti_txt
(data_fp)
training_data_serialization/utils/kitti_loader.py:144
↓ 2 callersFunctionparse_from_kitti_txt
(data_fp)
evaluation/evaluation_with_limo/utils/kitti_loader.py:144
↓ 2 callersFunctionparse_from_kitti_txt
(data_fp)
evaluation/evaluation_over_datasets/utils/kitti_loader.py:144
↓ 2 callersFunctionpool2d
2D Pooling Parameters: A: input 2D array kernel_size: int, the size of the window stride: int, the stride of the win
training_data_serialization/utils/projection.py:107
↓ 2 callersFunctionpool2d
2D Pooling Parameters: A: input 2D array kernel_size: int, the size of the window stride: int, the stride of the win
evaluation/evaluation_with_limo/utils/projection.py:104
↓ 2 callersFunctionpool2d
2D Pooling Parameters: A: input 2D array kernel_size: int, the size of the window stride: int, the stride of the win
evaluation/evaluation_over_datasets/utils/projection.py:104
↓ 2 callersFunctionreduce_lidar_lines
(xyz_intensity, reduce_lidar_line_to, original_lines=64)
evaluation/evaluation_over_datasets/utils/reduce_lidar_lines.py:4
↓ 2 callersMethodrun_benchmarks_multi_frame_test
(self, config, evaluator)
evaluation/evaluation_over_datasets/kitti_runner.py:157
↓ 2 callersMethodrun_one_epoch
This function is define to run one tf.session.run, either training/inference We assume: - The train_ops is static and if
training/core/base_trainer.py:113
↓ 2 callersMethodtrain
(self, data_generator, restore_graph_fns)
training/core/base_trainer.py:223
↓ 2 callersFunctionunet
(inputs, num_classes, base_depth, name)
training/utils/tf_ops.py:76
↓ 1 callersMethod_clean_up
(model_name)
commander.py:18
↓ 1 callersMethod_create_starter
(model_name, datasets_name=None)
commander.py:8
↓ 1 callersMethod_fetch_tensors
(self)
training/core/base_pb_server.py:43
↓ 1 callersMethod_fetch_tensors
(self)
evaluation/evaluation_with_limo/utils/pb_server.py:45
↓ 1 callersMethod_fetch_tensors
(self)
evaluation/evaluation_over_datasets/utils/pb_server.py:45
↓ 1 callersMethod_get_tf_config
Define Session configuration :return: tf_config
training/core/base_trainer.py:64
↓ 1 callersMethod_init_predictor
(self)
training/core/base_pb_server.py:36
↓ 1 callersMethod_init_predictor
(self)
evaluation/evaluation_with_limo/utils/pb_server.py:38
↓ 1 callersMethod_init_predictor
(self)
evaluation/evaluation_over_datasets/utils/pb_server.py:38
↓ 1 callersMethod_inspect_dependencies
A monitor function to print out all dependencies of interests.
training/core/base_trainer.py:29
↓ 1 callersMethod_load_model
(self)
training/core/base_pb_server.py:25
↓ 1 callersMethod_load_model
(self)
evaluation/evaluation_with_limo/utils/pb_server.py:27
↓ 1 callersMethod_load_model
(self)
evaluation/evaluation_over_datasets/utils/pb_server.py:27
↓ 1 callersMethod_set_feed_dict
(self, data)
training/core/base_pb_server.py:56
↓ 1 callersMethod_set_feed_dict
(self, data)
evaluation/evaluation_with_limo/utils/pb_server.py:62
↓ 1 callersMethod_set_feed_dict
(self, data)
evaluation/evaluation_over_datasets/utils/pb_server.py:62
↓ 1 callersMethodbatch_run
(self, config, *args, **kwargs)
evaluation/evaluation_over_datasets/kitti_runner.py:48
↓ 1 callersMethodbatch_run
(self, config, *args, **kwargs)
evaluation/evaluation_over_datasets/kitti_mis_sync_scenario_simulator.py:38
↓ 1 callersMethodbatch_run_over_gt
(self, config, *args, **kwargs)
evaluation/evaluation_over_datasets/newer_college_gt_runner.py:19
↓ 1 callersMethodcal_classification_loss
(self)
training/models/sl_model.py:100
↓ 1 callersMethodcal_classification_loss
(self)
training/models/licas3_model.py:112
↓ 1 callersMethodchunks
Yield successive n-sized chunks from lst.
training_data_serialization/newer_college_labelling_data_genearator.py:249
↓ 1 callersMethodchunks
Yield successive n-sized chunks from lst.
training_data_serialization/newer_college_data_generator.py:236
↓ 1 callersMethodchunks
Yield successive n-sized chunks from lst.
training_data_serialization/kitti_data_generator.py:123
↓ 1 callersMethoddefine_graph
(self)
training/core/base_model.py:146
↓ 1 callersMethoddefine_graph
(self)
training/experiments/licas3_inference_g.py:86
↓ 1 callersMethoddefine_graph
(self)
training/experiments/sl_inference_h.py:93
↓ 1 callersMethoddefine_graph
(self)
training/experiments/licas3_inference_h.py:93
↓ 1 callersMethoddefine_loss
Put your loss here
training/core/base_model.py:27
↓ 1 callersMethoddefine_net
Put your neural network architecture here
training/core/base_model.py:39
↓ 1 callersMethoddefine_net
(self)
training/experiments/licas3_inference_g.py:60
↓ 1 callersMethoddefine_net
(self)
training/experiments/sl_inference_h.py:60
↓ 1 callersMethoddefine_net
(self)
training/experiments/licas3_inference_h.py:60
↓ 1 callersMethoddefine_optimizer
Put your optimizer here
training/core/base_model.py:33
↓ 1 callersMethoddefine_restore_graph_fns
(self)
training/core/base_model.py:119
↓ 1 callersMethoddefine_summary_list
(self)
training/core/base_model.py:167
↓ 1 callersMethoddefine_tensor_dict
Define a dictionary such as following: self.tensor_dict = { 'X': self.x_pl, 'Y': self.y_pl, # Bel
training/core/base_model.py:45
↓ 1 callersMethodgenerate_demos
(self, config, evaluator)
evaluation/evaluation_over_datasets/newer_college_mis_sync_scenario_simulator.py:274
↓ 1 callersMethodgenerate_inference_data
data_info = { lidar_sub_folder: {}, camera_sub_folder: {}, "sorted_{}_ts".format(lidar_sub_fo
evaluation/evaluation_over_datasets/newer_college_mis_sync_scenario_simulator.py:366
↓ 1 callersMethodgenerate_inference_data
data_info = { lidar_sub_folder: {}, camera_sub_folder: {}, "sorted_{}_ts".format(lidar_sub_fo
evaluation/evaluation_over_datasets/newer_college_psudo_gt_runner.py:347
↓ 1 callersMethodgenerate_inference_data
data_info = { lidar_sub_folder: {}, camera_sub_folder: {}, "sorted_{}_ts".format(lidar_sub_fo
evaluation/evaluation_over_datasets/newer_college_gt_runner.py:428
↓ 1 callersMethodgenerate_inference_data_multi_frame
(self, config, *args, **kwargs)
evaluation/evaluation_over_datasets/kitti_runner.py:59
↓ 1 callersMethodgenerate_inference_data_multi_frame
(self, config, *args, **kwargs)
evaluation/evaluation_over_datasets/kitti_mis_sync_scenario_simulator.py:48
↓ 1 callersMethodgenerate_labelling_data
(self, config, training_examples_data_info, *args, **kwargs)
training_data_serialization/newer_college_labelling_data_genearator.py:403
↓ 1 callersMethodgenerate_labelling_data_and_save_to_disk
(self, datasets, config, name)
training_data_serialization/newer_college_labelling_data_genearator.py:325
↓ 1 callersMethodgenerate_labelling_data_with_one_chunk_and_save_to_disk
(self, config, output_fp, chunk_idx, data_chunk,
training_data_serialization/newer_college_labelling_data_genearator.py:254
↓ 1 callersMethodgenerate_training_data
example = { 'x.lidar.fp': _paired_frame[0], 'y.camera.fp': _paired_frame[1], 'x.camera.fps': [x[1] for x
training_data_serialization/newer_college_labelling_data_genearator.py:344
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