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[Fix] fix bug in merge_data_samples after refactoring PackInputs #2693

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merged 1 commit into from
Sep 15, 2023
Merged

[Fix] fix bug in merge_data_samples after refactoring PackInputs #2693

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16 changes: 7 additions & 9 deletions mmpose/structures/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -50,8 +50,7 @@ def merge_data_samples(data_samples: List[PoseDataSample]) -> PoseDataSample:
0].pred_fields:
reverted_heatmaps = [
revert_heatmap(data_sample.pred_fields.heatmaps,
data_sample.gt_instances.bbox_centers,
data_sample.gt_instances.bbox_scales,
data_sample.input_center, data_sample.input_scale,
data_sample.ori_shape)
for data_sample in data_samples
]
Expand All @@ -65,8 +64,7 @@ def merge_data_samples(data_samples: List[PoseDataSample]) -> PoseDataSample:
0].gt_fields:
reverted_heatmaps = [
revert_heatmap(data_sample.gt_fields.heatmaps,
data_sample.gt_instances.bbox_centers,
data_sample.gt_instances.bbox_scales,
data_sample.input_center, data_sample.input_scale,
data_sample.ori_shape)
for data_sample in data_samples
]
Expand All @@ -79,13 +77,13 @@ def merge_data_samples(data_samples: List[PoseDataSample]) -> PoseDataSample:
return merged


def revert_heatmap(heatmap, bbox_center, bbox_scale, img_shape):
def revert_heatmap(heatmap, input_center, input_scale, img_shape):
"""Revert predicted heatmap on the original image.

Args:
heatmap (np.ndarray or torch.tensor): predicted heatmap.
bbox_center (np.ndarray): bounding box center coordinate.
bbox_scale (np.ndarray): bounding box scale.
input_center (np.ndarray): bounding box center coordinate.
input_scale (np.ndarray): bounding box scale.
img_shape (tuple or list): size of original image.
"""
if torch.is_tensor(heatmap):
Expand All @@ -99,8 +97,8 @@ def revert_heatmap(heatmap, bbox_center, bbox_scale, img_shape):
hm_h, hm_w = heatmap.shape[:2]
img_h, img_w = img_shape
warp_mat = get_warp_matrix(
bbox_center.reshape((2, )),
bbox_scale.reshape((2, )),
input_center.reshape((2, )),
input_scale.reshape((2, )),
rot=0,
output_size=(hm_w, hm_h),
inv=True)
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