Merge pull request #16882 from heavengate/fix_yolo_param_pick

[cherry-pick] fix yolo param

Author: heavengate

paddle/fluid/API.spec

@@ -347,7 +347,7 @@ paddle.fluid.layers.generate_mask_labels (ArgSpec(args=['im_info', 'gt_classes',
 paddle.fluid.layers.iou_similarity (ArgSpec(args=['x', 'y', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '587845f60c5d97ffdf2dfd21da52eca1'))
 paddle.fluid.layers.box_coder (ArgSpec(args=['prior_box', 'prior_box_var', 'target_box', 'code_type', 'box_normalized', 'name', 'axis'], varargs=None, keywords=None, defaults=('encode_center_size', True, None, 0)), ('document', '032d0f4b7d8f6235ee5d91e473344f0e'))
 paddle.fluid.layers.polygon_box_transform (ArgSpec(args=['input', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '0e5ac2507723a0b5adec473f9556799b'))
-paddle.fluid.layers.yolov3_loss (ArgSpec(args=['x', 'gtbox', 'gtlabel', 'anchors', 'anchor_mask', 'class_num', 'ignore_thresh', 'downsample_ratio', 'gtscore', 'use_label_smooth', 'name'], varargs=None, keywords=None, defaults=(None, True, None)), ('document', '57fa96922e42db8f064c3fb77f2255e8'))
+paddle.fluid.layers.yolov3_loss (ArgSpec(args=['x', 'gt_box', 'gt_label', 'anchors', 'anchor_mask', 'class_num', 'ignore_thresh', 'downsample_ratio', 'gt_score', 'use_label_smooth', 'name'], varargs=None, keywords=None, defaults=(None, True, None)), ('document', '059021025283ad1ee6f4d32228cf3e4e'))
 paddle.fluid.layers.yolo_box (ArgSpec(args=['x', 'img_size', 'anchors', 'class_num', 'conf_thresh', 'downsample_ratio', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '5566169a5ab993d177792c023c7fb340'))
 paddle.fluid.layers.box_clip (ArgSpec(args=['input', 'im_info', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '397e9e02b451d99c56e20f268fa03f2e'))
 paddle.fluid.layers.multiclass_nms (ArgSpec(args=['bboxes', 'scores', 'score_threshold', 'nms_top_k', 'keep_top_k', 'nms_threshold', 'normalized', 'nms_eta', 'background_label', 'name'], varargs=None, keywords=None, defaults=(0.3, True, 1.0, 0, None)), ('document', 'ca7d1107b6c5d2d6d8221039a220fde0'))

python/paddle/fluid/layers/detection.py

@@ -509,35 +509,35 @@ 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):
     """
     ${comment}
 
     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}
         class_num (int): ${class_num_comment}
         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}
 
@@ -558,25 +558,25 @@ 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)
     """
     helper = LayerHelper('yolov3_loss', **locals())
 
     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
+    if gt_score:
+        inputs["GTScore"] = gt_score
 
     attrs = {
         "anchors": anchors,

python/paddle/fluid/tests/test_detection.py

@@ -474,17 +474,17 @@ def test_yolov3_loss(self):
         program = Program()
         with program_guard(program):
             x = layers.data(name='x', shape=[30, 7, 7], dtype='float32')
-            gtbox = layers.data(name='gtbox', shape=[10, 4], dtype='float32')
-            gtlabel = layers.data(name='gtlabel', shape=[10], dtype='int32')
-            gtscore = layers.data(name='gtscore', shape=[10], dtype='float32')
+            gt_box = layers.data(name='gt_box', shape=[10, 4], dtype='float32')
+            gt_label = layers.data(name='gt_label', shape=[10], dtype='int32')
+            gt_score = layers.data(name='gt_score', shape=[10], dtype='float32')
             loss = layers.yolov3_loss(
                 x,
-                gtbox,
-                gtlabel, [10, 13, 30, 13], [0, 1],
+                gt_box,
+                gt_label, [10, 13, 30, 13], [0, 1],
                 10,
                 0.7,
                 32,
-                gtscore=gtscore,
+                gt_score=gt_score,
                 use_label_smooth=False)
 
             self.assertIsNotNone(loss)