From b1e7799beab73b06a706b5d42bc5f53be036b308 Mon Sep 17 00:00:00 2001 From: dengkaipeng Date: Mon, 15 Apr 2019 04:06:34 +0000 Subject: [PATCH] fix yolov3_loss param name. test=develop --- python/paddle/fluid/layers/detection.py | 34 ++++++++++++------------- 1 file changed, 17 insertions(+), 17 deletions(-) diff --git a/python/paddle/fluid/layers/detection.py b/python/paddle/fluid/layers/detection.py index 0a1ddbc1db..cf06a117ef 100644 --- a/python/paddle/fluid/layers/detection.py +++ b/python/paddle/fluid/layers/detection.py @@ -509,14 +509,14 @@ def polygon_box_transform(input, name=None): @templatedoc(op_type="yolov3_loss") def yolov3_loss(x, - gtbox, - gtlabel, + gt_box, + gt_label, anchors, anchor_mask, class_num, ignore_thresh, downsample_ratio, - gtscore=None, + gt_score=None, use_label_smooth=True, name=None): """ @@ -524,12 +524,12 @@ def yolov3_loss(x, Args: x (Variable): ${x_comment} - gtbox (Variable): groud truth boxes, should be in shape of [N, B, 4], + gt_box (Variable): groud truth boxes, should be in shape of [N, B, 4], in the third dimenstion, x, y, w, h should be stored and x, y, w, h should be relative value of input image. N is the batch number and B is the max box number in an image. - gtlabel (Variable): class id of ground truth boxes, shoud be in shape + gt_label (Variable): class id of ground truth boxes, shoud be in shape of [N, B]. anchors (list|tuple): ${anchors_comment} anchor_mask (list|tuple): ${anchor_mask_comment} @@ -537,7 +537,7 @@ def yolov3_loss(x, ignore_thresh (float): ${ignore_thresh_comment} downsample_ratio (int): ${downsample_ratio_comment} name (string): the name of yolov3 loss. Default None. - gtscore (Variable): mixup score of ground truth boxes, shoud be in shape + gt_score (Variable): mixup score of ground truth boxes, shoud be in shape of [N, B]. Default None. use_label_smooth (bool): ${use_label_smooth_comment} @@ -558,13 +558,13 @@ def yolov3_loss(x, .. code-block:: python x = fluid.layers.data(name='x', shape=[255, 13, 13], dtype='float32') - gtbox = fluid.layers.data(name='gtbox', shape=[6, 4], dtype='float32') - gtlabel = fluid.layers.data(name='gtlabel', shape=[6], dtype='int32') - gtscore = fluid.layers.data(name='gtscore', shape=[6], dtype='float32') + gt_box = fluid.layers.data(name='gt_box', shape=[6, 4], dtype='float32') + gt_label = fluid.layers.data(name='gt_label', shape=[6], dtype='int32') + gt_score = fluid.layers.data(name='gt_score', shape=[6], dtype='float32') anchors = [10, 13, 16, 30, 33, 23, 30, 61, 62, 45, 59, 119, 116, 90, 156, 198, 373, 326] anchor_mask = [0, 1, 2] - loss = fluid.layers.yolov3_loss(x=x, gtbox=gtbox, gtlabel=gtlabel, - gtscore=gtscore, anchors=anchors, + loss = fluid.layers.yolov3_loss(x=x, gt_box=gt_box, gt_label=gt_label, + gt_score=gt_score, anchors=anchors, anchor_mask=anchor_mask, class_num=80, ignore_thresh=0.7, downsample_ratio=32) """ @@ -572,11 +572,11 @@ def yolov3_loss(x, if not isinstance(x, Variable): raise TypeError("Input x of yolov3_loss must be Variable") - if not isinstance(gtbox, Variable): + if not isinstance(gt_box, Variable): raise TypeError("Input gtbox of yolov3_loss must be Variable") - if not isinstance(gtlabel, Variable): + if not isinstance(gt_label, Variable): raise TypeError("Input gtlabel of yolov3_loss must be Variable") - if gtscore is not None and not isinstance(gtscore, Variable): + if gt_score is not None and not isinstance(gt_score, Variable): raise TypeError("Input gtscore of yolov3_loss must be Variable") if not isinstance(anchors, list) and not isinstance(anchors, tuple): raise TypeError("Attr anchors of yolov3_loss must be list or tuple") @@ -602,11 +602,11 @@ def yolov3_loss(x, inputs = { "X": x, - "GTBox": gtbox, - "GTLabel": gtlabel, + "GTBox": gt_box, + "GTLabel": gt_label, } if gtscore: - inputs["GTScore"] = gtscore + inputs["GTScore"] = gt_score attrs = { "anchors": anchors, -- GitLab