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[Feature] Support RBox CopyPaste #877

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[Feature] Support RBox CopyPaste #877

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ad78a2f
[Feature] Support RBox CopyPaste
nijkah Jun 14, 2023
f53b708
fix error
nijkah Jun 14, 2023
03224d1
lint
nijkah Jun 14, 2023
1df65c2
Fix mask2rbox bug
nijkah Jun 14, 2023
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6 changes: 3 additions & 3 deletions configs/h2rbox/README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -38,9 +38,9 @@ DOTA2.0

DIOR

| Backbone | AP50:95 | AP50 | AP75 | Angle | lr schd | Mem (GB) | Inf Time (fps) | MS | Batch Size | Configs | Download |
| :----------------------: | :-----: | :---: | :---: | :---: | :-----: | :------: | :------------: | :-: | :--------: | :------------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
| ResNet50 (800,800) | 33.06 | 57.40 | 32.50 | le90 | 1x | 3.83 | | - | 2 | [h2rbox-le90_r50_fpn_adamw-1x_dior](./dior/h2rbox-le90_r50_fpn_adamw-1x_dior.py) | [model](https://download.openmmlab.com/mmrotate/v1.0/h2rbox/h2rbox-le90_r50_fpn_adamw-1x_dior/h2rbox-le90_r50_fpn_adamw-1x_dior-949b0e4c.pth) \| [log](https://download.openmmlab.com/mmrotate/v1.0/h2rbox/h2rbox-le90_r50_fpn_adamw-1x_dior/h2rbox-le90_r50_fpn_adamw-1x_dior-20221130_204038.json) |
| Backbone | AP50:95 | AP50 | AP75 | Angle | lr schd | Mem (GB) | Inf Time (fps) | MS | Batch Size | Configs | Download |
| :----------------: | :-----: | :---: | :---: | :---: | :-----: | :------: | :------------: | :-: | :--------: | :------------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
| ResNet50 (800,800) | 33.06 | 57.40 | 32.50 | le90 | 1x | 3.83 | | - | 2 | [h2rbox-le90_r50_fpn_adamw-1x_dior](./dior/h2rbox-le90_r50_fpn_adamw-1x_dior.py) | [model](https://download.openmmlab.com/mmrotate/v1.0/h2rbox/h2rbox-le90_r50_fpn_adamw-1x_dior/h2rbox-le90_r50_fpn_adamw-1x_dior-949b0e4c.pth) \| [log](https://download.openmmlab.com/mmrotate/v1.0/h2rbox/h2rbox-le90_r50_fpn_adamw-1x_dior/h2rbox-le90_r50_fpn_adamw-1x_dior-20221130_204038.json) |

**Notes:**

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16 changes: 16 additions & 0 deletions mmrotate/structures/bbox/quadri_boxes.py
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Expand Up @@ -296,6 +296,22 @@ def find_inside_points(self,
values = (x1 - pt_x) * (y2 - pt_y) - (y1 - pt_y) * (x2 - pt_x)
return (values >= eps).all(dim=-1) | (values <= -eps).all(dim=-1)

def create_masks(self, img_shape: Tuple[int, int]) -> BitmapMasks:
"""
Args:
img_shape (Tuple[int, int]): A tuple of image height and width.
Returns:
:obj:`BitmapMasks`: Converted masks
"""
img_h, img_w = img_shape
polygons = self.vertices.numpy().astype(np.int0)

gt_masks = np.zeros((len(polygons), img_h, img_w), dtype=np.uint8)

for i, polygon in enumerate(polygons):
cv2.drawContours(gt_masks[i], [polygon], 0, 1, -1)
return BitmapMasks(gt_masks, img_h, img_w)

@staticmethod
def overlaps(boxes1: BaseBoxes,
boxes2: BaseBoxes,
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13 changes: 12 additions & 1 deletion mmrotate/structures/bbox/rotated_boxes.py
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Expand Up @@ -389,6 +389,16 @@ def find_inside_points(self,
return (offset_x <= w / 2 - eps) & (offset_x >= - w / 2 + eps) & \
(offset_y <= h / 2 - eps) & (offset_y >= - h / 2 + eps)

def create_masks(self, img_shape: Tuple[int, int]) -> BitmapMasks:
"""
Args:
img_shape (Tuple[int, int]): A tuple of image height and width.
Returns:
:obj:`BitmapMasks`: Converted masks
"""
qbox = self.convert_to('qbox')
return qbox.create_masks(img_shape)

@staticmethod
def overlaps(boxes1: BaseBoxes,
boxes2: BaseBoxes,
Expand Down Expand Up @@ -442,7 +452,8 @@ def from_instance_masks(masks: MaskType) -> 'RotatedBoxes':
if isinstance(masks, BitmapMasks):
for idx in range(num_masks):
mask = masks.masks[idx]
points = np.stack(np.nonzero(mask), axis=-1).astype(np.float32)
coor_y, coor_x = np.nonzero(mask)
points = np.stack([coor_x, coor_y], axis=-1).astype(np.float32)
(x, y), (w, h), angle = cv2.minAreaRect(points)
boxes.append([x, y, w, h, angle / 180 * np.pi])
elif isinstance(masks, PolygonMasks):
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