forked from mindspore-Ecosystem/mindspore
!6964 adopt BoundingBoxEncode modification and disable save_graph in maskrcnn
Merge pull request !6964 from gengdongjie/master
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e7a5f31cee
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@ -77,7 +77,7 @@ class BboxAssignSampleForRcnn(nn.Cell):
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self.random_choice_with_mask_neg = P.RandomChoiceWithMask(self.num_expected_neg)
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self.reshape = P.Reshape()
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self.equal = P.Equal()
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self.bounding_box_encode = P.BoundingBoxEncode(means=(0.0, 0.0, 0.0, 0.0), stds=(10.0, 10.0, 5.0, 5.0))
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self.bounding_box_encode = P.BoundingBoxEncode(means=(0.0, 0.0, 0.0, 0.0), stds=(0.1, 0.1, 0.2, 0.2))
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self.concat_axis1 = P.Concat(axis=1)
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self.logicalnot = P.LogicalNot()
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self.tile = P.Tile()
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@ -37,7 +37,7 @@ parser.add_argument("--checkpoint_path", type=str, required=True, help="Checkpoi
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parser.add_argument("--device_id", type=int, default=0, help="Device id, default is 0.")
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args_opt = parser.parse_args()
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context.set_context(mode=context.GRAPH_MODE, device_target="Ascend", save_graphs=True, device_id=args_opt.device_id)
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context.set_context(mode=context.GRAPH_MODE, device_target="Ascend", device_id=args_opt.device_id)
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def MaskRcnn_eval(dataset_path, ckpt_path, ann_file):
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"""MaskRcnn evaluation."""
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@ -72,7 +72,7 @@ class BboxAssignSampleForRcnn(nn.Cell):
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self.random_choice_with_mask_neg = P.RandomChoiceWithMask(self.num_expected_neg)
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self.reshape = P.Reshape()
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self.equal = P.Equal()
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self.bounding_box_encode = P.BoundingBoxEncode(means=(0.0, 0.0, 0.0, 0.0), stds=(10.0, 10.0, 5.0, 5.0))
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self.bounding_box_encode = P.BoundingBoxEncode(means=(0.0, 0.0, 0.0, 0.0), stds=(0.1, 0.1, 0.2, 0.2))
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self.concat_axis1 = P.Concat(axis=1)
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self.logicalnot = P.LogicalNot()
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self.tile = P.Tile()
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@ -51,7 +51,7 @@ parser.add_argument("--device_num", type=int, default=1, help="Use device nums,
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parser.add_argument("--rank_id", type=int, default=0, help="Rank id, default is 0.")
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args_opt = parser.parse_args()
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context.set_context(mode=context.GRAPH_MODE, device_target="Ascend", save_graphs=True, device_id=args_opt.device_id)
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context.set_context(mode=context.GRAPH_MODE, device_target="Ascend", device_id=args_opt.device_id)
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if __name__ == '__main__':
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print("Start train for maskrcnn!")
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