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Functions288 in github.com/YonghaoHe/LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices

⨍ Functions 288◇ Types & classes 50
↓ 28 callersMethodresize
:param image: :param size_in_pixel: tuple (width, height) :param size_in_scale: tuple (width_scale, height_scale) :r
ChasingTrainFramework_GeneralOneClassDetection/image_augmentation/augmentor.py:237
↓ 24 callersMethodflip
:param image: :param orientation: :return:
ChasingTrainFramework_GeneralOneClassDetection/image_augmentation/augmentor.py:217
↓ 16 callersFunctionloss_branch
(input_data, prefix_name, mask=None, label=None, deploy_flag=False)
face_detection/symbol_farm/symbol_10_560_25L_8scales_v1.py:14
↓ 16 callersMethodwrite
(self)
face_detection/data_provider_farm/pickle_provider.py:58
↓ 12 callersMethodappend_label
(self, new_label)
ChasingTrainFramework_GeneralOneClassDetection/data_iterator_base/data_batch.py:13
↓ 11 callersMethodupdate
(self, labels, preds)
face_detection/metric_farm/metric_default.py:16
↓ 10 callersMethodforward
(self, is_train, req, in_data, out_data, aux)
ChasingTrainFramework_GeneralOneClassDetection/loss_layer_farm/cross_entropy_with_focal_loss_for_one_class_detection.py:22
↓ 10 callersFunctionloss_branch
(input_data, prefix_name, mask=None, label=None, deploy_flag=False)
face_detection/symbol_farm/symbol_10_320_20L_5scales_v2.py:16
↓ 9 callersMethodrun_speed_eval
(self, warm_run_loops=10, real_run_loops=100)
ChasingTrainFramework_GeneralOneClassDetection/inference_speed_eval/inference_speed_eval_with_mxnet_cudnn.py:51
↓ 8 callersMethodlist_arguments
(self)
ChasingTrainFramework_GeneralOneClassDetection/loss_layer_farm/cross_entropy_with_focal_loss_for_one_class_detection.py:62
↓ 8 callersFunctionloss_branch
(input_data, prefix_name, mask=None, label=None, deploy_flag=False)
head_detection/symbol_farm/symbol_10_160_17L_4scales_v1.py:16
↓ 8 callersFunctionloss_branch
(input_data, prefix_name, mask=None, label=None, deploy_flag=False)
pedestrian_detection/symbol_farm/symbol_30_320_20L_4scales_v1.py:14
↓ 7 callersMethodinfer_shape
(self, in_shape)
ChasingTrainFramework_GeneralOneClassDetection/loss_layer_farm/cross_entropy_with_focal_loss_for_one_class_detection.py:68
↓ 6 callersMethodappend_data
(self, new_data)
ChasingTrainFramework_GeneralOneClassDetection/data_iterator_base/data_batch.py:10
↓ 6 callersMethodblur
:param image: :param mode: options 'normalized' 'gaussian' 'median' :param kernel_size: :param sigma: used for gauss
ChasingTrainFramework_GeneralOneClassDetection/image_augmentation/augmentor.py:158
↓ 6 callersMethodbrightness
adjust the image brightness :param image: :param min_factor: :param max_factor: :return:
ChasingTrainFramework_GeneralOneClassDetection/image_augmentation/augmentor.py:84
↓ 6 callersMethodcontrast
adjust the image contrast :param image: :param min_factor: :param max_factor: :return:
ChasingTrainFramework_GeneralOneClassDetection/image_augmentation/augmentor.py:129
↓ 6 callersMethodget
(self)
face_detection/metric_farm/metric_default.py:40
↓ 6 callersMethodlist_outputs
(self)
ChasingTrainFramework_GeneralOneClassDetection/loss_layer_farm/cross_entropy_with_focal_loss_for_one_class_detection.py:65
↓ 6 callersFunctionloss_branch
(input_data, prefix_name, mask=None, label=None, deploy_flag=False)
license_plate_detection/symbol_farm/symbol_64_512_16L_3scales_v1_small.py:14
↓ 6 callersFunctionloss_branch
(input_data, prefix_name, mask=None, label=None, deploy_flag=False)
license_plate_detection/symbol_farm/symbol_64_512_16L_3scales_v1.py:14
↓ 6 callersMethodread_by_index
(self, index)
license_plate_detection/data_provider_farm/pickle_provider.py:84
↓ 6 callersMethodsaturation
adjust the image saturation :param image: :param min_factor: :param max_factor: :return:
ChasingTrainFramework_GeneralOneClassDetection/image_augmentation/augmentor.py:104
↓ 5 callersMethodpredict
(self, image, resize_scale=1, score_threshold=0.8, top_k=100, NMS_threshold=0.3, NMS_flag=True, skip_scale_bra
face_detection/accuracy_evaluation/predict.py:139
↓ 5 callersMethodread_by_index
(self, index)
face_detection/data_provider_farm/pickle_provider.py:86
↓ 5 callersMethodwrite
(self)
head_detection/data_provider_farm/pickle_provider.py:56
↓ 5 callersMethodwrite
(self)
license_plate_detection/data_provider_farm/pickle_provider.py:56
↓ 4 callersMethodread_by_index
(self, index)
head_detection/data_provider_farm/pickle_provider.py:84
↓ 4 callersMethodread_by_index
(self, index)
pedestrian_detection/data_provider_farm/pickle_provider.py:84
↓ 3 callersMethodnext
(self)
face_detection/data_iterator_farm/multithread_dataiter_for_cross_entropy_v2.py:158
↓ 3 callersMethodpredict
(self, image, resize_scale=1., score_threshold=0.8, top_k=100, NMS_threshold=0.3, NMS_flag=True, skip_scale_br
license_plate_detection/accuracy_evaluation/predict.py:137
↓ 3 callersMethodwrite
(self)
pedestrian_detection/data_provider_farm/pickle_provider.py:56
↓ 2 callersMethod__as_ndarray
(self, in_data)
ChasingTrainFramework_GeneralOneClassDetection/data_iterator_base/data_batch.py:16
↓ 2 callersFunctionannotation_from_name
(file_name)
license_plate_detection/data_provider_farm/reformat_CCPD.py:9
↓ 2 callersMethodget
(self)
license_plate_detection/metric_farm/metric_default.py:41
↓ 2 callersFunctionget_net_symbol
(deploy_flag=False)
face_detection/symbol_farm/symbol_10_320_20L_5scales_v2.py:77
↓ 2 callersFunctionget_net_symbol
(deploy_flag=False)
face_detection/symbol_farm/symbol_10_560_25L_8scales_v1.py:75
↓ 2 callersFunctionget_net_symbol
(deploy_flag=False)
head_detection/symbol_farm/symbol_10_160_17L_4scales_v1.py:77
↓ 2 callersFunctionget_net_symbol
(deploy_flag=False)
license_plate_detection/symbol_farm/symbol_64_512_16L_3scales_v1_small.py:75
↓ 2 callersFunctionget_net_symbol
(deploy_flag=False)
license_plate_detection/symbol_farm/symbol_64_512_16L_3scales_v1.py:75
↓ 2 callersFunctionget_net_symbol
(deploy_flag=False)
pedestrian_detection/symbol_farm/symbol_30_320_20L_4scales_v1.py:75
↓ 2 callersMethodpredict
(self, image, resize_scale=1, score_threshold=0.8, top_k=100, NMS_threshold=0.3, NMS_flag=True, skip_scale_bra
head_detection/accuracy_evaluation/predict.py:138
↓ 2 callersMethodpredict
(self, image, resize_scale=1., score_threshold=0.8, top_k=100, NMS_threshold=0.3, NMS_flag=True, skip_scale_br
pedestrian_detection/accuracy_evaluation/predict.py:137
↓ 2 callersMethodreset
(self)
face_detection/metric_farm/metric_default.py:48
↓ 2 callersMethodupdate
(self, labels, preds)
head_detection/metric_farm/metric_default.py:17
↓ 2 callersMethodupdate
(self, labels, preds)
license_plate_detection/metric_farm/metric_default.py:17
↓ 2 callersMethodupdate
(self, labels, preds)
pedestrian_detection/metric_farm/metric_default.py:17
↓ 1 callersFunctionNMS
:param boxes: numpy nx5, n is the number of boxes, 0:4->x1, y1, x2, y2, 4->score :param overlap_threshold: :return:
face_detection/accuracy_evaluation/predict.py:14
↓ 1 callersFunctionNMS
:param boxes: numpy nx5, n is the number of boxes, 0:4->x1, y1, x2, y2, 4->score :param overlap_threshold: :return:
face_detection/caffemodel/predict_caffemodel.py:15
↓ 1 callersFunctionNMS
:param boxes: numpy nx5, n is the number of boxes, 0:4->x1, y1, x2, y2, 4->score :param overlap_threshold: :return:
face_detection/caffemodel/predict_caffemodel_v2.py:15
↓ 1 callersFunctionNMS
:param boxes: numpy nx5, n is the number of boxes, 0:4->x1, y1, x2, y2, 4->score :param overlap_threshold: :return:
face_detection/deploy_tensorrt/predict_tensorrt.py:13
↓ 1 callersFunctionNMS
:param boxes: numpy nx5, n is the number of boxes, 0:4->x1, y1, x2, y2, 4->score :param overlap_threshold: :return:
head_detection/accuracy_evaluation/predict.py:13
↓ 1 callersFunctionNMS
:param boxes: numpy nx5, n is the number of boxes, 0:4->x1, y1, x2, y2, 4->score :param overlap_threshold: :return:
license_plate_detection/accuracy_evaluation/predict.py:12
↓ 1 callersFunctionNMS
:param boxes: numpy nx5, n is the number of boxes, 0:4->x1, y1, x2, y2, 4->score :param overlap_threshold: :return:
pedestrian_detection/accuracy_evaluation/predict.py:12
↓ 1 callersMethod__allocate_buffers
(self, engine)
face_detection/deploy_tensorrt/predict_tensorrt.py:177
↓ 1 callersMethod__init__
(self, hnm_ratio)
ChasingTrainFramework_GeneralOneClassDetection/loss_layer_farm/mean_squared_error_with_hnm_for_one_class_detection.py:9
↓ 1 callersMethod__init__
(self, ohem_ratio)
ChasingTrainFramework_GeneralOneClassDetection/loss_layer_farm/mean_squared_error_with_ohem_for_one_class_detection.py:9
↓ 1 callersMethod__init__
(self, hnm_ratio)
ChasingTrainFramework_GeneralOneClassDetection/loss_layer_farm/cross_entropy_with_hnm_for_one_class_detection.py:6
↓ 1 callersMethod__init__
(self, alpha=0.25, gamma=2)
ChasingTrainFramework_GeneralOneClassDetection/loss_layer_farm/cross_entropy_with_focal_loss_for_one_class_detection.py:17
↓ 1 callersMethod__init_module
(self)
ChasingTrainFramework_GeneralOneClassDetection/solver_GOCD.py:61
↓ 1 callersMethod__load_model
(self)
face_detection/accuracy_evaluation/predict.py:104
↓ 1 callersMethod__load_model
(self)
face_detection/caffemodel/predict_caffemodel.py:102
↓ 1 callersMethod__load_model
(self)
face_detection/caffemodel/predict_caffemodel_v2.py:102
↓ 1 callersMethod__load_model
(self)
head_detection/accuracy_evaluation/predict.py:103
↓ 1 callersMethod__load_model
(self)
license_plate_detection/accuracy_evaluation/predict.py:102
↓ 1 callersMethod__load_model
(self)
pedestrian_detection/accuracy_evaluation/predict.py:102
↓ 1 callersMethod__prepare_batch
(self)
face_detection/data_iterator_farm/multithread_dataiter_for_cross_entropy_v2.py:161
↓ 1 callersMethod__prepare_batch
(self)
face_detection/data_iterator_farm/multithread_dataiter_for_cross_entropy_v1.py:160
↓ 1 callersMethod__prepare_batch
(self)
head_detection/data_iterator_farm/multithread_dataiter_for_cross_entropy_v1.py:172
↓ 1 callersMethod__prepare_batch
(self)
license_plate_detection/data_iterator_farm/multithread_dataiter_for_cross_entropy_v1_small.py:172
↓ 1 callersMethod__prepare_batch
(self)
license_plate_detection/data_iterator_farm/multithread_dataiter_for_cross_entropy_v1.py:172
↓ 1 callersMethod__prepare_batch
(self)
pedestrian_detection/data_iterator_farm/multithread_dataiter_for_cross_entropy_v1.py:172
↓ 1 callersMethod__str__
(self)
face_detection/deploy_tensorrt/predict_tensorrt.py:79
↓ 1 callersMethod__str__
(self)
ChasingTrainFramework_GeneralOneClassDetection/inference_speed_eval/inference_speed_eval_with_tensorrt_cudnn.py:21
↓ 1 callersMethodbackward
(self, req, out_grad, in_data, out_data, in_grad, aux)
ChasingTrainFramework_GeneralOneClassDetection/loss_layer_farm/cross_entropy_with_focal_loss_for_one_class_detection.py:31
↓ 1 callersFunctioncheck_txt
()
face_detection/data_provider_farm/reformat_WIDERFACE.py:152
↓ 1 callersFunctiondataset_statistics
()
head_detection/data_provider_farm/reformat_brainwash.py:85
↓ 1 callersFunctiondataset_statistics
()
license_plate_detection/data_provider_farm/reformat_CCPD.py:99
↓ 1 callersMethoddo_inference
(self, image, score_threshold=0.4, top_k=10000, NMS_threshold=0.4, NMS_flag=True, skip_scale_branch_list=[])
face_detection/deploy_tensorrt/predict_tensorrt.py:196
↓ 1 callersMethodfit
(self)
ChasingTrainFramework_GeneralOneClassDetection/solver_GOCD.py:89
↓ 1 callersFunctiongenerate_onnx_file
()
face_detection/deploy_tensorrt/to_onnx.py:11
↓ 1 callersFunctiongenerate_predicted_files
()
head_detection/accuracy_evaluation/evaluation_on_brainwash.py:52
↓ 1 callersFunctiongenerate_predicted_files
()
license_plate_detection/accuracy_evaluation/evaluation_on_CCPD.py:51
↓ 1 callersMethodget
(self)
head_detection/metric_farm/metric_default.py:41
↓ 1 callersMethodget
(self)
pedestrian_detection/metric_farm/metric_default.py:41
↓ 1 callersMethodget_batch_size
(self)
face_detection/data_iterator_farm/multithread_dataiter_for_cross_entropy_v2.py:474
↓ 1 callersMethodget_one
This function use 'yield' to return samples
face_detection/data_provider_farm/text_list_adapter.py:25
↓ 1 callersMethodget_one
This function use 'yield' to return samples
head_detection/data_provider_farm/text_list_adapter.py:25
↓ 1 callersMethodget_one
This function use 'yield' to return samples
license_plate_detection/data_provider_farm/text_list_adapter.py:26
↓ 1 callersMethodget_one
This function use 'yield' to return samples
pedestrian_detection/data_provider_farm/text_list_adapter.py:25
↓ 1 callersMethodget_one
This function use 'yield' to return samples
ChasingTrainFramework_GeneralOneClassDetection/data_provider_base/text_list_adapter.py:25
↓ 1 callersFunctioninit_logging
(log_file_path=None, log_file_mode='w', log_overwrite_flag=False, log_level=logging.INFO)
ChasingTrainFramework_GeneralOneClassDetection/logging_GOCD.py:11
↓ 1 callersMethodload_checkpoint
(self)
ChasingTrainFramework_GeneralOneClassDetection/solver_GOCD.py:155
↓ 1 callersFunctionmain
()
face_detection/demo/demo.py:27
↓ 1 callersMethodnext
(self)
face_detection/data_iterator_farm/multithread_dataiter_for_cross_entropy_v1.py:157
↓ 1 callersMethodnext
(self)
head_detection/data_iterator_farm/multithread_dataiter_for_cross_entropy_v1.py:169
↓ 1 callersMethodnext
(self)
license_plate_detection/data_iterator_farm/multithread_dataiter_for_cross_entropy_v1_small.py:169
↓ 1 callersMethodnext
(self)
license_plate_detection/data_iterator_farm/multithread_dataiter_for_cross_entropy_v1.py:169
↓ 1 callersMethodnext
(self)
pedestrian_detection/data_iterator_farm/multithread_dataiter_for_cross_entropy_v1.py:169
↓ 1 callersFunctionparse_args
()
face_detection/demo/demo.py:13
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