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Functions409 in github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB

⨍ Functions 409◇ Types & classes 89
↓ 92 callersFunctionconv_dw
(x, out_ch, stride, padding=1, prefix='conv_dw')
tf/backend/op.py:86
↓ 28 callersFunctionseparable_conv
(x, out_ch, kernel_size, stride, padding, prefix='separable_conv')
tf/backend/op.py:60
↓ 15 callersMethodload
(self, model)
vision/ssd/ssd.py:137
↓ 12 callersFunctionbasic_conv
(x, out_ch, kernel_size, stride=(1, 1), padding=0, dilation=1, relu=True, bn=True, prefix='basi
tf/backend/op.py:4
↓ 12 callersFunctionbasic_conv
(x, out_ch, kernel_size, stride=(1, 1), padding=0, dilation=1, relu=True, bn=True, prefix='basi
tflite/model/tflite_RFB_320_without_postprocessing.py:7
↓ 11 callersMethodunsupported_op_configuration
(self, node, # type: Node err_message, #
caffe/onnx2caffe/_error_utils.py:40
↓ 8 callersFunctionconv_bn
(x, out_ch, stride, padding=1, prefix='conv_bn')
tf/backend/op.py:73
↓ 7 callersFunctionSeperableConv2d
Replace Conv2d with a depthwise Conv2d and Pointwise Conv2d.
paddle/vision/ssd/mb_tiny_fd.py:9
↓ 7 callersFunctionSeperableConv2d
Replace Conv2d with a depthwise Conv2d and Pointwise Conv2d.
paddle/vision/ssd/mb_tiny_RFB_fd.py:9
↓ 7 callersFunctionSeperableConv2d
Replace Conv2d with a depthwise Conv2d and Pointwise Conv2d.
vision/ssd/mb_tiny_fd.py:9
↓ 7 callersFunctionSeperableConv2d
Replace Conv2d with a depthwise Conv2d and Pointwise Conv2d.
vision/ssd/mb_tiny_RFB_fd.py:9
↓ 6 callersFunctioncreate_Mb_Tiny_RFB_fd
(num_classes, is_test=False, device="cuda")
vision/ssd/mb_tiny_RFB_fd.py:20
↓ 6 callersFunctiondefine_img_size
(size)
vision/ssd/config/fd_config.py:18
↓ 6 callersMethodmissing_initializer
Missing initializer error
caffe/onnx2caffe/_error_utils.py:49
↓ 6 callersMethodsave
(self, model_path)
vision/ssd/ssd.py:140
↓ 5 callersMethod__init__
(self, num_nodes, # type: int )
caffe/onnx2caffe/_transformers.py:18
↓ 5 callersMethodpredict
(self, image, top_k=-1, prob_threshold=None)
vision/ssd/predictor.py:29
↓ 4 callersMethodadd_child
(self, child_node)
caffe/onnx2caffe/_graph.py:85
↓ 4 callersFunctioncreate_Mb_Tiny_RFB_fd_predictor
(net, candidate_size=200, nms_method=None, sigma=0.5, device=None)
vision/ssd/mb_tiny_RFB_fd.py:56
↓ 4 callersFunctioncreate_mb_tiny_fd
(num_classes, is_test=False, device="cuda")
vision/ssd/mb_tiny_fd.py:20
↓ 4 callersMethodforward
(self, x: torch.Tensor)
vision/ssd/ssd.py:42
↓ 4 callersFunctionfreeze_net_layers
(net)
paddle/vision/utils/misc.py:39
↓ 4 callersFunctionfreeze_net_layers
(net)
vision/utils/misc.py:39
↓ 4 callersMethodget_unique_edge_name
(self, graph, name)
caffe/onnx2caffe/_transformers.py:382
↓ 4 callersMethodload
(self, model)
paddle/vision/ssd/ssd.py:137
↓ 3 callersFunctionarea_of
(left_top, right_bottom)
caffe/ultra_face_caffe_inference.py:92
↓ 3 callersFunctionarea_of
(left_top, right_bottom)
caffe/ultra_face_opencvdnn_inference.py:88
↓ 3 callersFunctionarea_of
Compute the areas of rectangles given two corners. Args: left_top (N, 2): left top corner. right_bottom (N, 2): right bottom corn
paddle/vision/utils/box_utils_numpy.py:39
↓ 3 callersFunctionarea_of
Compute the areas of rectangles given two corners. Args: left_top (N, 2): left top corner. right_bottom (N, 2): right bottom corn
paddle/vision/utils/box_utils.py:62
↓ 3 callersFunctionarea_of
Compute the areas of rectangles given two corners. Args: left_top (N, 2): left top corner. right_bottom (N, 2): right bottom corn
vision/utils/box_utils_numpy.py:40
↓ 3 callersFunctionarea_of
Compute the areas of rectangles given two corners. Args: left_top (N, 2): left top corner. right_bottom (N, 2): right bottom corn
vision/utils/box_utils.py:68
↓ 3 callersFunctionassign_proto
Assign a Python object to a protobuf message, based on the Python type (in recursive fashion). Lists become repeated fields/messages, dicts be
caffe/MyCaffe.py:21
↓ 3 callersFunctioncreate_mb_tiny_fd_predictor
(net, candidate_size=200, nms_method=None, sigma=0.5, device=None)
vision/ssd/mb_tiny_fd.py:56
↓ 3 callersMethodend
(self, key="default")
vision/utils/misc.py:17
↓ 3 callersFunctioniou_of
Return intersection-over-union (Jaccard index) of boxes. Args: boxes0 (N, 4): ground truth boxes. boxes1 (N or 1, 4): predicted b
paddle/vision/utils/box_utils.py:76
↓ 3 callersFunctioniou_of
Return intersection-over-union (Jaccard index) of boxes. Args: boxes0 (N, 4): ground truth boxes. boxes1 (N or 1, 4): predicted b
vision/utils/box_utils.py:82
↓ 3 callersMethodsave
(self, model_path)
paddle/vision/ssd/ssd.py:140
↓ 3 callersMethodstart
(self, key="default")
vision/utils/misc.py:14
↓ 2 callersMethod__init__
(self, in_planes, out_planes, stride=1, scale=0.1, map_reduce=8, vision=1, groups=1)
paddle/vision/nn/mb_tiny_RFB.py:31
↓ 2 callersMethod__init__
(self, in_planes, out_planes, stride=1, scale=0.1, map_reduce=8, vision=1, groups=1)
vision/nn/mb_tiny_RFB.py:31
↓ 2 callersMethod_get_annotation
(self, image_id)
paddle/vision/datasets/voc_dataset.py:87
↓ 2 callersMethod_get_annotation
(self, image_id)
vision/datasets/voc_dataset.py:88
↓ 2 callersFunction_input_from_onnx_input
(input)
caffe/onnx2caffe/_graph.py:20
↓ 2 callersMethod_read_image
(self, image_id)
paddle/vision/datasets/voc_dataset.py:114
↓ 2 callersMethod_read_image
(self, image_id)
vision/datasets/voc_dataset.py:115
↓ 2 callersFunctionbasic_rfb
(x, in_ch, out_ch, stride=1, scale=0.1, map_reduce=8, vision=1, prefix='basic_rfb')
tf/backend/op.py:24
↓ 2 callersFunctionbox_is_valid
Check if box is valid.
masked_face/mafa2voc.py:92
↓ 2 callersMethodcompute_header
(self, i, x)
paddle/vision/ssd/ssd.py:103
↓ 2 callersMethodcompute_header
(self, i, x)
vision/ssd/ssd.py:103
↓ 2 callersMethodend
(self, key="default")
paddle/vision/utils/misc.py:17
↓ 2 callersMethodfrom_onnx
(node)
caffe/onnx2caffe/_graph.py:98
↓ 2 callersMethodget_only_parent
(self)
caffe/onnx2caffe/_graph.py:91
↓ 2 callersMethodinference
(self, img)
tflite/TFLiteFaceDetector.py:76
↓ 2 callersFunctionintersect
(box_a, box_b)
paddle/vision/transforms/transforms.py:13
↓ 2 callersFunctionintersect
(box_a, box_b)
vision/transforms/transforms.py:13
↓ 2 callersFunctionmethod_name
(bboxes, filename, saveimg, vocannotationdir, lms, img_set)
data/wider_face_2_voc_add_landmark.py:129
↓ 2 callersFunctionpost_processing
(reg_list, cls_list, num_classes, image_size, feature_map_wh_list, min_boxes, center_varia
tf/backend/utils.py:8
↓ 2 callersMethodstart
(self, key="default")
paddle/vision/utils/misc.py:14
↓ 2 callersMethodunsupported_op
Either raise an error for an unsupported op type or return custom layer add function
caffe/onnx2caffe/_error_utils.py:24
↓ 1 callersFunction_convertAttributeProto
Convert an ONNX AttributeProto into an appropriate Python object for the type. NB: Tensor attribute gets returned as numpy array
caffe/onnx2caffe/_graph.py:27
↓ 1 callersMethod_decode_regression
(self, reg)
tflite/TFLiteFaceDetector.py:109
↓ 1 callersMethod_generate_anchors
(self)
tflite/TFLiteFaceDetector.py:43
↓ 1 callersMethod_get_top_name
(self, top, names, autonames)
caffe/MyCaffe.py:73
↓ 1 callersMethod_post_processing
(self, boxes, scores)
tflite/TFLiteFaceDetector.py:94
↓ 1 callersMethod_pre_processing
(self, img)
tflite/TFLiteFaceDetector.py:68
↓ 1 callersMethod_read_image_ids
(image_sets_file)
paddle/vision/datasets/voc_dataset.py:80
↓ 1 callersMethod_read_image_ids
(image_sets_file)
vision/datasets/voc_dataset.py:81
↓ 1 callersMethod_to_proto
(self)
caffe/MyCaffe.py:79
↓ 1 callersMethodadd_parent
(self, parent_node)
caffe/onnx2caffe/_graph.py:79
↓ 1 callersFunctionadjust_learning_rate
Sets the learning rate to the initial LR divided by 5 at 60th, 120th and 160th epochs
train.py:125
↓ 1 callersFunctionadjust_learning_rate
Sets the learning rate to the initial LR divided by 5 at 60th, 120th and 160th epochs
paddle/train.py:135
↓ 1 callersFunctionbox_in_image
Check if the box is in image
masked_face/mafa2voc.py:85
↓ 1 callersFunctioncenter_form_to_corner_form
(locations)
caffe/ultra_face_caffe_inference.py:146
↓ 1 callersFunctioncenter_form_to_corner_form
(locations)
caffe/ultra_face_opencvdnn_inference.py:142
↓ 1 callersFunctionconvertToCaffe
(graph, prototxt_save_path, caffe_model_save_path)
caffe/convertCaffe.py:25
↓ 1 callersFunctionconvert_locations_to_boxes
(locations, priors, center_variance, size_variance)
caffe/ultra_face_caffe_inference.py:136
↓ 1 callersFunctionconvert_locations_to_boxes
(locations, priors, center_variance, size_variance)
caffe/ultra_face_opencvdnn_inference.py:132
↓ 1 callersFunctionconvertdataset
()
data/wider_face_2_voc_add_landmark.py:311
↓ 1 callersFunctionconvertimgset
(img_set="train")
data/wider_face_2_voc_add_landmark.py:22
↓ 1 callersFunctioncreate_rfb_net
(input_shape, base_channel, num_classes)
tf/model/rfb_320.py:18
↓ 1 callersFunctioncreate_slim_net
(input_shape, base_channel, num_classes)
tf/model/slim_320.py:18
↓ 1 callersFunctiondataset_pr_info
(thresh_num, pr_curve, count_face)
widerface_evaluate/evaluation.py:198
↓ 1 callersFunctiondecode_regression
(reg, image_size, feature_map_w_h_list, min_boxes, center_variance, size_variance)
tf/backend/utils.py:44
↓ 1 callersFunctiondefine_img_size
(image_size)
caffe/ultra_face_caffe_inference.py:34
↓ 1 callersFunctiondefine_img_size
(image_size)
caffe/ultra_face_opencvdnn_inference.py:30
↓ 1 callersFunctiondefine_img_size
(size)
paddle/vision/ssd/config/fd_config.py:18
↓ 1 callersFunctiondefine_img_size
(image_size)
MNN/python/ultraface_py_mnn.py:42
↓ 1 callersFunctiondraw_mask
(image, labels, color=(0, 0, 255))
masked_face/mafa2voc.py:302
↓ 1 callersFunctionevaluation
(pred, gt_path, iou_thresh=0.5)
widerface_evaluate/evaluation.py:226
↓ 1 callersFunctionexpand_box
Scale up the box
masked_face/mafa2voc.py:27
↓ 1 callersFunctionfit_box
Try to fit the box, make sure it satisfy following conditions: - A square. - Inside the image. - Contains all the points. If all
masked_face/mafa2voc.py:152
↓ 1 callersFunctionfit_by_shifting
Method 1: Try to move the box.
masked_face/mafa2voc.py:38
↓ 1 callersFunctionfit_by_shrinking
Method 2: Try to shrink the box.
masked_face/mafa2voc.py:108
↓ 1 callersMethodforward
(self, x: paddle.Tensor)
paddle/vision/ssd/ssd.py:42
↓ 1 callersFunctiongenerate_priors
(feature_map_list, shrinkage_list, image_size, min_boxes)
caffe/ultra_face_caffe_inference.py:47
↓ 1 callersFunctiongenerate_priors
(feature_map_list, shrinkage_list, image_size, min_boxes)
caffe/ultra_face_opencvdnn_inference.py:43
↓ 1 callersFunctiongenerate_priors
(feature_map_list, shrinkage_list, image_size, min_boxes, clamp=True)
paddle/vision/utils/box_utils.py:6
↓ 1 callersFunctiongenerate_priors
(feature_map_list, shrinkage_list, image_size, min_boxes, clamp=True)
vision/utils/box_utils.py:6
↓ 1 callersFunctiongenerate_priors
(feature_map_list, shrinkage_list, image_size, min_boxes, clamp=True)
MNN/python/ultraface_py_mnn.py:55
↓ 1 callersFunctiongetGraph
(onnx_path)
caffe/convertCaffe.py:94
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