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PaddleDetection
未验证 提交 02700af9 编写于 作者: W wangguanzhong 提交者： GitHub
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cherry-pick fix data_feed (#68)

上级 3923340d
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Showing with 6 addition and 6 deletion
ppdet/data/data_feed.py
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......@@ -453,7 +453,7 @@ class FasterRCNNTrainFeed(DataFeed):
'image', 'im_info', 'im_id', 'gt_box', 'gt_label',
'is_crowd'
],
image_shape=[3, 800, 1333],
image_shape=[None, 3, None, None],
sample_transforms=[
DecodeImage(to_rgb=True),
RandomFlipImage(prob=0.5),
......@@ -505,7 +505,7 @@ class FasterRCNNEvalFeed(DataFeed):
COCO_VAL_IMAGE_DIR).__dict__,
fields=['image', 'im_info', 'im_id', 'im_shape', 'gt_box',
'gt_label', 'is_difficult'],
image_shape=[3, 800, 1333],
image_shape=[None, 3, None, None],
sample_transforms=[
DecodeImage(to_rgb=True),
NormalizeImage(mean=[0.485, 0.456, 0.406],
......@@ -552,7 +552,7 @@ class FasterRCNNTestFeed(DataFeed):
dataset=SimpleDataSet(COCO_VAL_ANNOTATION,
COCO_VAL_IMAGE_DIR).__dict__,
fields=['image', 'im_info', 'im_id', 'im_shape'],
image_shape=[3, 800, 1333],
image_shape=[None, 3, None, None],
sample_transforms=[
DecodeImage(to_rgb=True),
NormalizeImage(mean=[0.485, 0.456, 0.406],
......@@ -600,7 +600,7 @@ class MaskRCNNTrainFeed(DataFeed):
'image', 'im_info', 'im_id', 'gt_box', 'gt_label',
'is_crowd', 'gt_mask'
],
image_shape=[3, 800, 1333],
image_shape=[None, 3, None, None],
sample_transforms=[
DecodeImage(to_rgb=True),
RandomFlipImage(prob=0.5, is_mask_flip=True),
......@@ -646,7 +646,7 @@ class MaskRCNNEvalFeed(DataFeed):
dataset=CocoDataSet(COCO_VAL_ANNOTATION,
COCO_VAL_IMAGE_DIR).__dict__,
fields=['image', 'im_info', 'im_id', 'im_shape'],
image_shape=[3, 800, 1333],
image_shape=[None, 3, None, None],
sample_transforms=[
DecodeImage(to_rgb=True),
NormalizeImage(mean=[0.485, 0.456, 0.406],
......@@ -698,7 +698,7 @@ class MaskRCNNTestFeed(DataFeed):
dataset=SimpleDataSet(COCO_VAL_ANNOTATION,
COCO_VAL_IMAGE_DIR).__dict__,
fields=['image', 'im_info', 'im_id', 'im_shape'],
image_shape=[3, 800, 1333],
image_shape=[None, 3, None, None],
sample_transforms=[
DecodeImage(to_rgb=True),
NormalizeImage(
......
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