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Functions621 in github.com/YCG09/chinese_ocr

⨍ Functions 621◇ Types & classes 34
Function__Pyx_c_is_zerof
ctpn/lib/utils/gpu_nms.c:5808
Function__Pyx_c_is_zerof
ctpn/lib/utils/gpu_nms.cpp:5825
Function__Pyx_c_is_zerof
ctpn/lib/utils/bbox.c:6468
Function__Pyx_call_destructor
ctpn/lib/utils/gpu_nms.cpp:223
Method__init__
Set the roidb to be used by this layer during training.
ctpn/lib/roi_data_layer/layer.py:24
Method__init__
(self)
ctpn/lib/utils/timer.py:3
Method__init__
(self, inputs, trainable=True)
ctpn/lib/networks/network.py:33
Method__init__
(self, trainable=True)
ctpn/lib/networks/VGGnet_test.py:7
Method__init__
(self, trainable=True)
ctpn/lib/networks/VGGnet_train.py:8
Method__init__
Initialize the SolverWrapper.
ctpn/lib/fast_rcnn/train.py:13
Method__init__
(self)
ctpn/lib/text_connector/text_proposal_connector.py:6
Method__init__
(self)
ctpn/lib/text_connector/detectors.py:12
Method__init__
(self)
ctpn/lib/text_connector/text_proposal_connector_oriented.py:10
Method__init__
(self, graph)
ctpn/lib/text_connector/other.py:24
Method__init__
(self, name)
ctpn/lib/datasets/imdb.py:13
Method__init__
(self, image_set, year, devkit_path=None)
ctpn/lib/datasets/pascal_voc.py:18
Method__init__
(self, total)
train/train.py:60
Function__pyx_f_5numpy_PyArray_MultiIterNew1
ctpn/lib/utils/cython_nms.c:4416
Function__pyx_f_5numpy_PyArray_MultiIterNew1
ctpn/lib/utils/gpu_nms.c:2727
Function__pyx_f_5numpy_PyArray_MultiIterNew1
ctpn/lib/utils/gpu_nms.cpp:2744
Function__pyx_f_5numpy_PyArray_MultiIterNew1
ctpn/lib/utils/bbox.c:3571
Function__pyx_f_5numpy_PyArray_MultiIterNew2
ctpn/lib/utils/cython_nms.c:4463
Function__pyx_f_5numpy_PyArray_MultiIterNew2
ctpn/lib/utils/gpu_nms.c:2774
Function__pyx_f_5numpy_PyArray_MultiIterNew2
ctpn/lib/utils/gpu_nms.cpp:2791
Function__pyx_f_5numpy_PyArray_MultiIterNew2
ctpn/lib/utils/bbox.c:3618
Function__pyx_f_5numpy_PyArray_MultiIterNew3
ctpn/lib/utils/cython_nms.c:4510
Function__pyx_f_5numpy_PyArray_MultiIterNew3
ctpn/lib/utils/gpu_nms.c:2821
Function__pyx_f_5numpy_PyArray_MultiIterNew3
ctpn/lib/utils/gpu_nms.cpp:2838
Function__pyx_f_5numpy_PyArray_MultiIterNew3
ctpn/lib/utils/bbox.c:3665
Function__pyx_f_5numpy_PyArray_MultiIterNew4
ctpn/lib/utils/cython_nms.c:4557
Function__pyx_f_5numpy_PyArray_MultiIterNew4
ctpn/lib/utils/gpu_nms.c:2868
Function__pyx_f_5numpy_PyArray_MultiIterNew4
ctpn/lib/utils/gpu_nms.cpp:2885
Function__pyx_f_5numpy_PyArray_MultiIterNew4
ctpn/lib/utils/bbox.c:3712
Function__pyx_f_5numpy_PyArray_MultiIterNew5
ctpn/lib/utils/cython_nms.c:4604
Function__pyx_f_5numpy_PyArray_MultiIterNew5
ctpn/lib/utils/gpu_nms.c:2915
Function__pyx_f_5numpy_PyArray_MultiIterNew5
ctpn/lib/utils/gpu_nms.cpp:2932
Function__pyx_f_5numpy_PyArray_MultiIterNew5
ctpn/lib/utils/bbox.c:3759
Function__pyx_f_5numpy_get_array_base
ctpn/lib/utils/cython_nms.c:5502
Function__pyx_f_5numpy_get_array_base
ctpn/lib/utils/gpu_nms.c:3813
Function__pyx_f_5numpy_get_array_base
ctpn/lib/utils/gpu_nms.cpp:3830
Function__pyx_f_5numpy_get_array_base
ctpn/lib/utils/bbox.c:4657
Function__pyx_f_5numpy_set_array_base
ctpn/lib/utils/cython_nms.c:5406
Function__pyx_f_5numpy_set_array_base
ctpn/lib/utils/gpu_nms.c:3717
Function__pyx_f_5numpy_set_array_base
ctpn/lib/utils/gpu_nms.cpp:3734
Function__pyx_f_5numpy_set_array_base
ctpn/lib/utils/bbox.c:4561
Function__pyx_pw_4ctpn_3lib_5utils_10cython_nms_1nms
ctpn/lib/utils/cython_nms.c:1494
Function__pyx_pw_4ctpn_3lib_5utils_10cython_nms_3nms_new
ctpn/lib/utils/cython_nms.c:2442
Function__pyx_pw_4ctpn_3lib_5utils_4bbox_1bbox_overlaps
ctpn/lib/utils/bbox.c:1316
Function__pyx_pw_4ctpn_3lib_5utils_4bbox_3bbox_intersections
ctpn/lib/utils/bbox.c:2006
Function__pyx_pw_4ctpn_3lib_5utils_7gpu_nms_1gpu_nms
ctpn/lib/utils/gpu_nms.c:1326
Function__pyx_pw_5utils_7gpu_nms_1gpu_nms
ctpn/lib/utils/gpu_nms.cpp:1343
Function__pyx_t_double_complex __Pyx_c_conj
ctpn/lib/utils/gpu_nms.cpp:5950
Function__pyx_t_double_complex __Pyx_c_diff
ctpn/lib/utils/gpu_nms.cpp:5922
Function__pyx_t_double_complex __Pyx_c_neg
ctpn/lib/utils/gpu_nms.cpp:5941
Function__pyx_t_double_complex __Pyx_c_pow
ctpn/lib/utils/gpu_nms.cpp:5964
Function__pyx_t_double_complex __Pyx_c_prod
ctpn/lib/utils/gpu_nms.cpp:5928
Function__pyx_t_double_complex __Pyx_c_quot
ctpn/lib/utils/gpu_nms.cpp:5934
Function__pyx_t_double_complex __Pyx_c_sum
ctpn/lib/utils/gpu_nms.cpp:5916
Function__pyx_t_double_complex __pyx_t_double_complex_from_parts
ctpn/lib/utils/gpu_nms.cpp:5893
Function__pyx_t_float_complex __Pyx_c_conjf
ctpn/lib/utils/gpu_nms.cpp:5828
Function__pyx_t_float_complex __Pyx_c_difff
ctpn/lib/utils/gpu_nms.cpp:5800
Function__pyx_t_float_complex __Pyx_c_negf
ctpn/lib/utils/gpu_nms.cpp:5819
Function__pyx_t_float_complex __Pyx_c_powf
ctpn/lib/utils/gpu_nms.cpp:5842
Function__pyx_t_float_complex __Pyx_c_prodf
ctpn/lib/utils/gpu_nms.cpp:5806
Function__pyx_t_float_complex __Pyx_c_quotf
ctpn/lib/utils/gpu_nms.cpp:5812
Function__pyx_t_float_complex __Pyx_c_sumf
ctpn/lib/utils/gpu_nms.cpp:5794
Function__pyx_t_float_complex __pyx_t_float_complex_from_parts
ctpn/lib/utils/gpu_nms.cpp:5771
Function_compile
(obj, src, ext, cc_args, extra_postargs, pp_opts)
ctpn/lib/utils/setup_cpu.py:25
Function_compile
(obj, src, ext, cc_args, extra_postargs, pp_opts)
ctpn/lib/utils/setup.py:50
Function_filter_irregular_boxes
Remove all boxes with any side smaller than min_size.
ctpn/lib/rpn_msr/proposal_layer_tf.py:168
Function_selective_search_IJCV_top_k
(split, year, top_k)
ctpn/lib/datasets/factory.py:4
Function_vis_minibatch
Visualize a mini-batch for debugging.
ctpn/lib/roi_data_layer/minibatch.py:180
Function_which
(program)
ctpn/lib/datasets/__init__.py:5
Method_write_voc_results_file
(self, all_boxes)
ctpn/lib/datasets/pascal_voc.py:236
Methodadd
contribution by miraclebiu
ctpn/lib/networks/network.py:342
Functionadd_bbox_regression_targets
Add information needed to train bounding-box regressors. For each roi find the corresponding gt box, and compute the distance. then norma
ctpn/lib/roi_data_layer/roidb.py:37
Functionanchor_target_layer
Assign anchors to ground-truth targets. Produces anchor classification labels and bounding-box regression targets. Parameters -------
ctpn/lib/rpn_msr/anchor_target_layer_tf.py:10
Methodavg_pool
(self, input, k_h, k_w, s_h, s_w, name, padding=DEFAULT_PADDING)
ctpn/lib/networks/network.py:201
Methodbatch_normalization
contribution by miraclebiu
ctpn/lib/networks/network.py:347
Methodbuild_extensions
(self)
ctpn/lib/utils/setup_cpu.py:36
Methodbuild_extensions
(self)
ctpn/lib/utils/setup.py:70
Methodcache_path
(self)
ctpn/lib/datasets/imdb.py:66
Functioncfg_from_list
Set config keys via list (e.g., from command line).
ctpn/lib/fast_rcnn/config.py:296
Methodclasses
(self)
ctpn/lib/datasets/imdb.py:34
Functionclip_boxes
Clip boxes to image boundaries.
ctpn/lib/fast_rcnn/bbox_transform.py:67
Functionctc_lambda_func
(args)
train/train.py:114
Methoddefault_roidb
(self)
ctpn/lib/datasets/imdb.py:79
Functiondense_blstm
(input)
densenet/densenet.py:80
Functiondense_blstm
(input)
train/densenet.py:80
Methoddropout
(self, input, keep_prob, name)
ctpn/lib/networks/network.py:356
Methodfc
(self, input, num_out, name, relu=True, trainable=True)
ctpn/lib/networks/network.py:296
Functionfilter_small_boxes
(boxes, min_size)
ctpn/lib/datasets/ds_utils.py:31
Functionfind_in_path
(name, path)
ctpn/lib/utils/setup_cpu.py:9
Functionget_boxes_grid
Return the boxes on image grid. calling this function when cfg.IS_MULTISCALE is True, otherwise, calling rdl_roidb.prepare_roidb(imdb) instea
ctpn/lib/utils/boxes_grid.py:15
Methodget_text_lines
text_proposals:boxes
ctpn/lib/text_connector/text_proposal_connector_oriented.py:25
Methodimage_index
(self)
ctpn/lib/datasets/imdb.py:38
Methodimage_path_at
Return the absolute path to image i in the image sequence.
ctpn/lib/datasets/pascal_voc.py:50
Functionlayer
(op)
ctpn/lib/networks/network.py:11
Functionlayer_decorated
(self, *args, **kwargs)
ctpn/lib/networks/network.py:12
Methodlrn
(self, input, radius, alpha, beta, name, bias=1.0)
ctpn/lib/networks/network.py:283
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