Comments (2)
(for info) My original plan was to label each object twice, once with a rectangle and once with a 45 degree rotated rectangle, make a 45-degree rotated version of the training images and train YOLO with both version of each image, with the appropriate bounding rectangle.
Then run each frame twice through YOLO, once normally and once rotated 45 deg. Then merge the resulting bounding boxes into an octagonal outline. This would need minimal changes to YOLO but would half the framerate and require each frame to be rotated 45 deg.
(Now thinking about a better solution that will require some larger changes to roLabelimg and YOLO.)
from rolabelimg.
@jwstolk Hi,bro,How is your 45-degree rotating YOLO model trained?
from rolabelimg.
Related Issues (20)
- TypeError: unsupported operand type(s) for -: 'QPoint' and 'QPointF'
- Image pan and zoom in and out from center are not working HOT 1
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- The 1.4.3 Linux download does not contain the rotated boxes. HOT 1
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- Image pan and zoom in and out from center are not working 【New 2021】
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from rolabelimg.