ValueError: Dimension 2 in both shapes must be equal, but are 148 and 147. Shapes are [?,260,148] and [?,260,147]. for 'network/route2' (op: 'ConcatV2') with input shapes: [?,260,148,256], [?,260,147,512], [] and with computed input tensors: input[2] = <-1>.
85 Tensor("network/convolutional60/Activation:0", shape=(?, 130, 74, 256), dtype=float32)
86 Tensor("network/upsample1:0", shape=(?, 260, 148, 256), dtype=float32)
i got this error. any idea?
ValueError: Dimension 2 in both shapes must be equal, but are 148 and 147. Shapes are [?,260,148] and [?,260,147]. for 'network/route2' (op: 'ConcatV2') with input shapes: [?,260,148,256], [?,260,147,512], [] and with computed input tensors: input[2] = <-1>. 85 Tensor("network/convolutional60/Activation:0", shape=(?, 130, 74, 256), dtype=float32) 86 Tensor("network/upsample1:0", shape=(?, 260, 148, 256), dtype=float32)