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github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB
/ functions
Functions
409 in github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB
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Functions
409
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Types & classes
89
Function
_convert_Softmax
(node, graph, err)
caffe/onnx2caffe/_operators.py:234
Function
_convert_Softmax
(net, node, graph, err)
caffe/onnx2caffe/_weightloader.py:86
Function
_convert_concat
(node, graph, err)
caffe/onnx2caffe/_operators.py:354
Function
_convert_concat
(net, node, graph, err)
caffe/onnx2caffe/_weightloader.py:122
Function
_convert_conv
(node, graph, err)
caffe/onnx2caffe/_operators.py:30
Function
_convert_conv
(net, node, graph, err)
caffe/onnx2caffe/_weightloader.py:10
Function
_convert_conv_transpose
(node, graph, err)
caffe/onnx2caffe/_operators.py:372
Function
_convert_conv_transpose
(net, node, graph, err)
caffe/onnx2caffe/_weightloader.py:126
Function
_convert_dropout
(node, graph, err)
caffe/onnx2caffe/_operators.py:270
Function
_convert_dropout
(net, node, graph, err)
caffe/onnx2caffe/_weightloader.py:78
Function
_convert_gemm
(node, graph, err)
caffe/onnx2caffe/_operators.py:280
Function
_convert_gemm
(net, node, graph, err)
caffe/onnx2caffe/_weightloader.py:90
Function
_convert_pool
(node, graph, err)
caffe/onnx2caffe/_operators.py:244
Function
_convert_pool
(net, node, graph, err)
caffe/onnx2caffe/_weightloader.py:74
Function
_convert_relu
(node, graph, err)
caffe/onnx2caffe/_operators.py:66
Function
_convert_relu
(net, node, graph, err)
caffe/onnx2caffe/_weightloader.py:34
Function
_convert_sigmoid
(node, graph, err)
caffe/onnx2caffe/_operators.py:84
Function
_convert_sigmoid
(net, node, graph, err)
caffe/onnx2caffe/_weightloader.py:38
Function
_convert_upsample
(node, graph, err)
caffe/onnx2caffe/_operators.py:314
Function
_convert_upsample
(net, node, graph, err)
caffe/onnx2caffe/_weightloader.py:112
Method
_get_name
(self, names, autonames)
caffe/MyCaffe.py:65
Function
_xavier_init_
(m: nn.Layer)
paddle/vision/ssd/ssd.py:160
Function
_xavier_init_
(m: nn.Module)
vision/ssd/ssd.py:164
Function
assign_priors
Assign ground truth boxes and targets to priors. Args: gt_boxes (num_targets, 4): ground truth boxes. gt_labels (num_targets): la
paddle/vision/utils/box_utils.py:102
Function
assign_priors
Assign ground truth boxes and targets to priors. Args: gt_boxes (num_targets, 4): ground truth boxes. gt_labels (num_targets): la
vision/utils/box_utils.py:101
Function
basic_rfb
(x, in_ch, out_ch, stride=1, scale=0.1, map_reduce=8, vision=1, prefix='basic_rfb')
tflite/model/tflite_RFB_320_without_postprocessing.py:27
Function
center_form_to_corner_form
(locations)
paddle/vision/utils/box_utils_numpy.py:72
Function
center_form_to_corner_form
(locations)
paddle/vision/utils/box_utils.py:158
Function
center_form_to_corner_form
(locations)
vision/utils/box_utils_numpy.py:73
Function
center_form_to_corner_form
(locations)
vision/utils/box_utils.py:156
Function
conv_bn
(x, out_ch, stride, padding=1, prefix='conv_bn')
tflite/model/tflite_RFB_320_without_postprocessing.py:76
Method
conv_bn
(inp, oup, stride)
paddle/vision/nn/mb_tiny_RFB.py:78
Method
conv_bn
(inp, oup, stride)
paddle/vision/nn/mb_tiny.py:11
Method
conv_bn
(inp, oup, stride)
vision/nn/mb_tiny_RFB.py:78
Method
conv_bn
(inp, oup, stride)
vision/nn/mb_tiny.py:11
Function
conv_dw
(x, out_ch, stride, padding=1, prefix='conv_dw')
tflite/model/tflite_RFB_320_without_postprocessing.py:89
Method
conv_dw
(inp, oup, stride)
paddle/vision/nn/mb_tiny_RFB.py:85
Method
conv_dw
(inp, oup, stride)
paddle/vision/nn/mb_tiny.py:18
Method
conv_dw
(inp, oup, stride)
vision/nn/mb_tiny_RFB.py:85
Method
conv_dw
(inp, oup, stride)
vision/nn/mb_tiny.py:18
Function
convert_boxes_to_locations
(center_form_boxes, center_form_priors, center_variance, size_variance)
paddle/vision/utils/box_utils_numpy.py:29
Function
convert_boxes_to_locations
(center_form_boxes, center_form_priors, center_variance, size_variance)
paddle/vision/utils/box_utils.py:52
Function
convert_boxes_to_locations
(center_form_boxes, center_form_priors, center_variance, size_variance)
vision/utils/box_utils_numpy.py:30
Function
convert_boxes_to_locations
(center_form_boxes, center_form_priors, center_variance, size_variance)
vision/utils/box_utils.py:58
Function
convert_locations_to_boxes
Convert regressional location results of SSD into boxes in the form of (center_x, center_y, h, w). The conversion: $$predicted\_center *
paddle/vision/utils/box_utils_numpy.py:4
Function
convert_locations_to_boxes
Convert regressional location results of SSD into boxes in the form of (center_x, center_y, h, w). The conversion: $$predicted\_center *
paddle/vision/utils/box_utils.py:27
Function
convert_locations_to_boxes
Convert regressional location results of SSD into boxes in the form of (center_x, center_y, h, w). The conversion: $$predicted\_center *
vision/utils/box_utils_numpy.py:4
Function
convert_locations_to_boxes
Convert regressional location results of SSD into boxes in the form of (center_x, center_y, h, w). The conversion: $$predicted\_center *
vision/utils/box_utils.py:32
Function
corner_form_to_center_form
(boxes)
paddle/vision/utils/box_utils_numpy.py:77
Function
corner_form_to_center_form
(boxes)
paddle/vision/utils/box_utils.py:163
Function
corner_form_to_center_form
(boxes)
vision/utils/box_utils_numpy.py:78
Function
corner_form_to_center_form
(boxes)
vision/utils/box_utils.py:161
Function
create_Mb_Tiny_RFB_fd
(num_classes, is_test=False, device="cuda")
paddle/vision/ssd/mb_tiny_RFB_fd.py:20
Function
create_Mb_Tiny_RFB_fd_predictor
(net, candidate_size=200, nms_method=None, sigma=0.5, device=None)
paddle/vision/ssd/mb_tiny_RFB_fd.py:56
Function
create_mb_tiny_fd
(num_classes, is_test=False, device="cuda")
paddle/vision/ssd/mb_tiny_fd.py:20
Function
create_mb_tiny_fd_predictor
(net, candidate_size=200, nms_method=None, sigma=0.5, device=None)
paddle/vision/ssd/mb_tiny_fd.py:56
Function
create_rfb_net
(input_shape, base_channel, num_classes)
tflite/model/tflite_RFB_320_without_postprocessing.py:104
Function
create_slim_net
(input_shape, base_channel, num_classes)
tflite/model/tflite_slim_320_without_postprocessing.py:8
Function
draw_face
(image, labels, color=(0, 255, 0))
masked_face/mafa2voc.py:296
Function
export_face
Export face areas in an image. Args: image: the image as a numpy array. labels: MAFA labels. export_file: the output
masked_face/mafa2voc.py:312
Method
extract_value_info
(shape_dict, # type: Dict[Text,Tuple[int,...]] value_info, # type: ValueInfoPro
caffe/onnx2caffe/_graph.py:211
Method
forward
(self, x)
paddle/vision/nn/mb_tiny_RFB.py:20
Method
forward
(self, x)
paddle/vision/nn/mb_tiny_RFB.py:58
Method
forward
(self, x)
paddle/vision/nn/mb_tiny_RFB.py:113
Method
forward
(self, x)
paddle/vision/nn/mb_tiny.py:46
Method
forward
Compute classification loss and smooth l1 loss. Args: confidence (batch_size, num_priors, num_classes): class predictions.
paddle/vision/nn/multibox_loss.py:22
Method
forward
(self, x)
vision/nn/mb_tiny_RFB.py:20
Method
forward
(self, x)
vision/nn/mb_tiny_RFB.py:58
Method
forward
(self, x)
vision/nn/mb_tiny_RFB.py:113
Method
forward
(self, x)
vision/nn/mb_tiny.py:46
Method
forward
Compute classification loss and smooth l1 loss. Args: confidence (batch_size, num_priors, num_classes): class predictions.
vision/nn/multibox_loss.py:23
Method
from_onnx
(args)
caffe/onnx2caffe/_graph.py:53
Method
from_onnx
(graph)
caffe/onnx2caffe/_graph.py:168
Function
generatetxt
(img_set="train")
data/wider_face_2_voc_add_landmark.py:273
Function
generatevocsets
(img_set="train")
data/wider_face_2_voc_add_landmark.py:290
Method
get_annotation
(self, index)
paddle/vision/datasets/voc_dataset.py:72
Method
get_annotation
(self, index)
vision/datasets/voc_dataset.py:73
Function
get_gt_boxes_from_txt
(gt_path, cache_dir)
widerface_evaluate/evaluation.py:36
Method
get_image
(self, index)
paddle/vision/datasets/voc_dataset.py:65
Method
get_image
(self, index)
vision/datasets/voc_dataset.py:66
Method
get_unique_edge_name
(self, name)
caffe/onnx2caffe/_graph.py:159
Function
hard_negative_mining
It used to suppress the presence of a large number of negative prediction. It works on image level not batch level. For any example/image
paddle/vision/utils/box_utils.py:134
Function
hard_negative_mining
It used to suppress the presence of a large number of negative prediction. It works on image level not batch level. For any example/image
vision/utils/box_utils.py:131
Function
hard_nms
Args: box_scores (N, 5): boxes in corner-form and probabilities. iou_threshold: intersection over union threshold. top_k
paddle/vision/utils/box_utils_numpy.py:84
Function
hard_nms
Args: box_scores (N, 5): boxes in corner-form and probabilities. iou_threshold: intersection over union threshold. top_k
vision/utils/box_utils_numpy.py:85
Method
init
(self)
paddle/vision/ssd/ssd.py:130
Method
init
(self)
vision/ssd/ssd.py:130
Method
is_eligible
(self, graph, nodes)
caffe/onnx2caffe/_transformers.py:95
Method
is_eligible
(self, graph, nodes)
caffe/onnx2caffe/_transformers.py:150
Method
is_eligible
(self, graph, nodes)
caffe/onnx2caffe/_transformers.py:192
Method
is_eligible
(self, graph, nodes)
caffe/onnx2caffe/_transformers.py:232
Method
is_eligible
(self, graph, nodes)
caffe/onnx2caffe/_transformers.py:340
Method
layer_fn
(*args, **kwargs)
caffe/MyCaffe.py:116
Function
load_checkpoint
(checkpoint_path)
paddle/vision/utils/misc.py:35
Function
load_checkpoint
(checkpoint_path)
vision/utils/misc.py:35
Function
make_input
(input)
caffe/onnx2caffe/_operators.py:20
Method
merge
(self, graph, nodes)
caffe/onnx2caffe/_transformers.py:122
Method
merge
(self, graph, nodes)
caffe/onnx2caffe/_transformers.py:172
Method
merge
(self, graph, nodes)
caffe/onnx2caffe/_transformers.py:214
Method
merge
(self, graph, nodes)
caffe/onnx2caffe/_transformers.py:236
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