成功解决but is 0 and 2 (computed from start 0 and end 9223372 over shape with rank 2 and stride-1)
成功解決Exception "unhandled ValueError"
Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)
目錄
解決問題
解決思路
解決方法
解決問題
Exception "unhandled ValueError"
Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)
解決思路
異常“未處理的ValueError”
子形狀必須計算開始>=結束,因為步幅為負數,但為0和2(從開始0和結束9223372036854775807開始計算,在等級為2和步幅為1的形狀上)
解決方法
參考文章:https://stackoverflow.com/questions/57558476/training-a-keras-model-yields-multiple-optimizer-errors
修改yolo3/model.py文件的140/141行 :
將
box_xy = (K.sigmoid(feats[..., :2]) + grid) / K.cast(grid_shape[::-1], K.dtype(feats)) box_wh = K.exp(feats[..., 2:4]) * anchors_tensor / K.cast(input_shape[::-1], K.dtype(feats))改為
box_xy = (K.sigmoid(feats[..., :2]) + grid) / K.cast(grid_shape[...,::-1], K.dtype(feats)) box_wh = K.exp(feats[..., 2:4]) * anchors_tensor / K.cast(input_shape[...,::-1], K.dtype(feats))
?
總結
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