output tensor([[[ 0.00, 0.90, 0.10, 0.08, 0.52, 0.92], [ 1.00, 0.90, 0.55, 0.20, 0.90, 0.88], [-1.00, 0.80, 0.08, 0.20, 0.56, 0.95], [-1.00, 0.70, 0.15, 0.30, 0.62, 0.91]]]) 删除‐1类别（背景）的预测边界框后，我们

set(xlabel="$x_1$", ylabel="$x_2$") plt.title(plot_name, fontsize=30) plt.subplots_adjust(left=0.20) plt.subplots_adjust(right=0.80) if(XX is not None and YY is not None and preds is not