this project is the implements of the yolo2 paper from scrath, i will record the troble and complete detail here
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when i use :
priors = tf.reshape(Anchors, [1, 1, 1, anchor_num, 2]) pred_wh = tf.exp(pred[..., 3:5]) * priors
it always occurred NAN error, because pred[..., 3:5] always over than hundred after 1~2 train epoch,
And train loss is always been biger in training, i need to figure it out