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the yolo annoation format for a bounding box is class xctr yctr xwidth ywidth
the center and width values relative (0 to 1) scaled by the image size.
Does keras_cv/src/converters.py support this format?
rel_xywh uses the left, top for xy, not the center xy
Is there another API that supports this conversion?
yolo. In yolo , a bounding box is represented by four values [x_center, y_center, width, height] . x_center and y_center are the normalized coordinates of the center of the bounding box. To make coordinates normalized, we take pixel values of x and y, which marks the center of the bounding box on the x- and y-axis.
The text was updated successfully, but these errors were encountered:
the yolo annoation format for a bounding box is class xctr yctr xwidth ywidth
the center and width values relative (0 to 1) scaled by the image size.
Does keras_cv/src/converters.py support this format?
rel_xywh uses the left, top for xy, not the center xy
Is there another API that supports this conversion?
yolo. In yolo , a bounding box is represented by four values [x_center, y_center, width, height] . x_center and y_center are the normalized coordinates of the center of the bounding box. To make coordinates normalized, we take pixel values of x and y, which marks the center of the bounding box on the x- and y-axis.
The text was updated successfully, but these errors were encountered: