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the file loss.py in line 181 182 183: euclidean = tf.linalg.norm(b2_center - b1_center) diag_length = tf.linalg.norm([enclose_ymax - enclose_ymin, enclose_xmax - enclose_xmin]) diou = iou - (euclidean ** 2) / (diag_length ** 2)
the result of tf.linalg.norm is one value, but the train dataset has many samples (many bboxes)
diou = iou - (euclidean ** 2) / (diag_length ** 2)
the dimensions of iou is not equal to the dimensions of (euclidean ** 2) / (diag_length ** 2) ?
the last dimensions of iou is the number of bboxes, the last dimensions of (euclidean ** 2) / (diag_length ** 2) is one
The text was updated successfully, but these errors were encountered:
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the result of tf.linalg.norm is one value, but the train dataset has many samples (many bboxes)
diou = iou - (euclidean ** 2) / (diag_length ** 2)
the dimensions of iou is not equal to the dimensions of (euclidean ** 2) / (diag_length ** 2) ?
the last dimensions of iou is the number of bboxes, the last dimensions of (euclidean ** 2) / (diag_length ** 2) is one
The text was updated successfully, but these errors were encountered: