From 9148f18d26c5a8bf1de3e28d90471c1665729fbe Mon Sep 17 00:00:00 2001 From: lzh <52725224+Yourdaylight@users.noreply.github.com> Date: Thu, 6 Aug 2020 19:33:32 +0800 Subject: [PATCH] update decisiontree --- 烟火图像的识别与分类/code.ipynb | 286 +++++++++++++++++++++----------- 1 file changed, 188 insertions(+), 98 deletions(-) diff --git a/烟火图像的识别与分类/code.ipynb b/烟火图像的识别与分类/code.ipynb index 6e4d152..4bfb0cd 100644 --- a/烟火图像的识别与分类/code.ipynb +++ b/烟火图像的识别与分类/code.ipynb @@ -1,5 +1,19 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 背景介绍\n", + "- 开发一款基于户外监控摄像头的山火/非法焚烧秸秆的预防系统。希望能够\n", + "在最短的时间内基于监控画面确定是否有烟火发生,然后人工快速介入,\n", + "确定是否是山火/非法焚烧秸秆的事件。最终交由当地的联防/公安/森林\n", + "等部门进行快速响应。\n", + "我们因此采集到了海量的户外图像,其中大致分为两类:没有任何烟火的\n", + "图像,有明显的烟/火出现的图像。图像的获得是基于经过培训的人工判\n", + "断然后直接从监控画面上截图。基于提供的图像,获得一个识别烟火的图像分类器。" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -9,7 +23,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -25,7 +39,8 @@ "plt.rcParams['font.sans-serif'] = 'SimHei'\n", "plt.rcParams['axes.unicode_minus'] = False\n", "\n", - "from sklearn.ensemble import RandomForestClassifier#决策树\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "from sklearn.ensemble import RandomForestClassifier\n", "from sklearn.ensemble import AdaBoostClassifier\n", "from sklearn.neural_network import MLPClassifier #神经网络\n", "from sklearn.svm import SVC#支持向量机\n", @@ -60,7 +75,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -81,7 +96,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -123,7 +138,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -158,7 +173,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -167,7 +182,7 @@ "" ] }, - "execution_count": 8, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, @@ -209,7 +224,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -283,7 +298,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -327,7 +342,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -539,7 +554,7 @@ "[5 rows x 1601 columns]" ] }, - "execution_count": 17, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -578,7 +593,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -612,7 +627,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -657,7 +672,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -725,7 +740,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -742,6 +757,8 @@ " X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.1,random_state=0)\n", "\n", " #搜索最优参数\n", + " if model_name=='决策树':\n", + " grid=DecisionTreeClassifier(min_samples_leaf=10,random_state = 0)\n", " if model_name=='随机森林':\n", " grid=RandomForestClassifier(n_estimators=100,min_samples_leaf=10,random_state = 0)\n", " \n", @@ -781,7 +798,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -795,7 +812,70 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "决策树分类评估报告\n", + " precision recall f1-score support\n", + "\n", + " 0 0.75 0.75 0.75 197\n", + " 1 0.70 0.70 0.70 164\n", + "\n", + "avg / total 0.72 0.72 0.72 361\n", + "\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "决策树在训练集上的性能 -- \n", + "决策树 | 准确率: 0.9070\n", + "决策树 | AUC: 0.9047\n", + "决策树 | 漏报率为:0.0919\n", + "决策树 | 误报率为:0.0938\n", + "决策树 | 训练时长(秒):4.5754\n", + "=========================================\n", + "决策树在测试集上的性能 -- \n", + "决策树 | 准确率: 0.7230\n", + "决策树 | AUC: 0.7207\n", + "决策树 | 漏报率为:0.3049\n", + "决策树 | 误报率为:0.2538\n", + "决策树 | 训练时长(秒):4.5754\n" + ] + } + ], + "source": [ + "DT_result=train_model(label,data,\"决策树\")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -841,14 +921,14 @@ "随机森林 | AUC: 0.9386\n", "随机森林 | 漏报率为:0.0531\n", "随机森林 | 误报率为:0.0643\n", - "随机森林 | 训练时长(秒):7.1245\n", + "随机森林 | 训练时长(秒):8.0432\n", "=========================================\n", "随机森林在测试集上的性能 -- \n", "随机森林 | 准确率: 0.8338\n", "随机森林 | AUC: 0.8298\n", "随机森林 | 漏报率为:0.1623\n", "随机森林 | 误报率为:0.1691\n", - "随机森林 | 训练时长(秒):7.1245\n" + "随机森林 | 训练时长(秒):8.0432\n" ] } ], @@ -858,7 +938,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -904,14 +984,14 @@ "支持向量机 | AUC: 0.9731\n", "支持向量机 | 漏报率为:0.0483\n", "支持向量机 | 误报率为:0.0109\n", - "支持向量机 | 训练时长(秒):12.2925\n", + "支持向量机 | 训练时长(秒):12.7980\n", "=========================================\n", "支持向量机在测试集上的性能 -- \n", "支持向量机 | 准确率: 0.8532\n", "支持向量机 | AUC: 0.8563\n", "支持向量机 | 漏报率为:0.1934\n", "支持向量机 | 误报率为:0.1000\n", - "支持向量机 | 训练时长(秒):12.2925\n" + "支持向量机 | 训练时长(秒):12.7980\n" ] } ], @@ -921,7 +1001,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -967,14 +1047,14 @@ "神经网络 | AUC: 0.9710\n", "神经网络 | 漏报率为:0.0418\n", "神经网络 | 误报率为:0.0193\n", - "神经网络 | 训练时长(秒):10.2106\n", + "神经网络 | 训练时长(秒):9.8903\n", "=========================================\n", "神经网络在测试集上的性能 -- \n", "神经网络 | 准确率: 0.7285\n", "神经网络 | AUC: 0.7359\n", "神经网络 | 漏报率为:0.3366\n", "神经网络 | 误报率为:0.1887\n", - "神经网络 | 训练时长(秒):10.2106\n" + "神经网络 | 训练时长(秒):9.8903\n" ] } ], @@ -984,7 +1064,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -1030,14 +1110,14 @@ "adaboost | AUC: 0.8167\n", "adaboost | 漏报率为:0.2282\n", "adaboost | 误报率为:0.1445\n", - "adaboost | 训练时长(秒):37.8667\n", + "adaboost | 训练时长(秒):41.4722\n", "=========================================\n", "adaboost在测试集上的性能 -- \n", "adaboost | 准确率: 0.7008\n", "adaboost | AUC: 0.7065\n", "adaboost | 漏报率为:0.3571\n", "adaboost | 误报率为:0.2303\n", - "adaboost | 训练时长(秒):37.8667\n" + "adaboost | 训练时长(秒):41.4722\n" ] } ], @@ -1054,7 +1134,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -1083,7 +1163,7 @@ }, { "cell_type": "code", - "execution_count": 132, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -1091,70 +1171,70 @@ "output_type": "stream", "text": [ "Epoch 1/30\n", - "101/101 [==============================] - 21s 208ms/step - loss: 0.4680 - accuracy: 0.7752 - val_loss: 0.3892 - val_accuracy: 0.8338\n", + "101/101 [==============================] - 15s 146ms/step - loss: 0.4985 - accuracy: 0.7525 - val_loss: 0.3981 - val_accuracy: 0.8310\n", "Epoch 2/30\n", - "101/101 [==============================] - 20s 203ms/step - loss: 0.3881 - accuracy: 0.8346 - val_loss: 0.2984 - val_accuracy: 0.8670\n", + "101/101 [==============================] - 14s 138ms/step - loss: 0.4047 - accuracy: 0.8268 - val_loss: 0.4070 - val_accuracy: 0.8255\n", "Epoch 3/30\n", - "101/101 [==============================] - 22s 213ms/step - loss: 0.3372 - accuracy: 0.8595 - val_loss: 0.3227 - val_accuracy: 0.8587\n", + "101/101 [==============================] - 14s 140ms/step - loss: 0.3889 - accuracy: 0.8290 - val_loss: 0.3179 - val_accuracy: 0.8532\n", "Epoch 4/30\n", - "101/101 [==============================] - 21s 204ms/step - loss: 0.2974 - accuracy: 0.8750 - val_loss: 0.2847 - val_accuracy: 0.8947\n", + "101/101 [==============================] - 14s 139ms/step - loss: 0.3427 - accuracy: 0.8582 - val_loss: 0.2948 - val_accuracy: 0.8698\n", "Epoch 5/30\n", - "101/101 [==============================] - 20s 202ms/step - loss: 0.2841 - accuracy: 0.8859 - val_loss: 0.2433 - val_accuracy: 0.8920\n", + "101/101 [==============================] - 14s 141ms/step - loss: 0.3286 - accuracy: 0.8638 - val_loss: 0.2685 - val_accuracy: 0.8920\n", "Epoch 6/30\n", - "101/101 [==============================] - 21s 206ms/step - loss: 0.2757 - accuracy: 0.8912 - val_loss: 0.3759 - val_accuracy: 0.8338\n", + "101/101 [==============================] - 14s 138ms/step - loss: 0.3107 - accuracy: 0.8772 - val_loss: 0.2443 - val_accuracy: 0.9169\n", "Epoch 7/30\n", - "101/101 [==============================] - 20s 202ms/step - loss: 0.2710 - accuracy: 0.8930 - val_loss: 0.2390 - val_accuracy: 0.8947\n", + "101/101 [==============================] - 14s 138ms/step - loss: 0.2799 - 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- val_accuracy: 0.9335\n", + "101/101 [==============================] - 14s 140ms/step - loss: 0.1964 - accuracy: 0.9230 - val_loss: 0.1855 - val_accuracy: 0.9391\n", "Epoch 25/30\n", - "101/101 [==============================] - 21s 207ms/step - loss: 0.1610 - accuracy: 0.9353 - val_loss: 0.1405 - val_accuracy: 0.9557\n", + "101/101 [==============================] - 14s 137ms/step - loss: 0.1861 - accuracy: 0.9310 - val_loss: 0.1963 - val_accuracy: 0.9252\n", "Epoch 26/30\n", - "101/101 [==============================] - 21s 205ms/step - loss: 0.1559 - accuracy: 0.9378 - val_loss: 0.1432 - val_accuracy: 0.9501\n", + "101/101 [==============================] - 14s 136ms/step - loss: 0.1612 - accuracy: 0.9450 - val_loss: 0.2083 - val_accuracy: 0.9058\n", "Epoch 27/30\n", - "101/101 [==============================] - 21s 205ms/step - loss: 0.1716 - accuracy: 0.9363 - val_loss: 0.1572 - val_accuracy: 0.9501\n", + "101/101 [==============================] - 14s 138ms/step - loss: 0.1702 - accuracy: 0.9341 - val_loss: 0.1957 - val_accuracy: 0.9252\n", "Epoch 28/30\n", - "101/101 [==============================] - 21s 205ms/step - loss: 0.1533 - accuracy: 0.9428 - val_loss: 0.1819 - val_accuracy: 0.9446\n", + "101/101 [==============================] - 14s 136ms/step - loss: 0.1739 - accuracy: 0.9303 - val_loss: 0.1600 - val_accuracy: 0.9474\n", "Epoch 29/30\n", - "101/101 [==============================] - 21s 206ms/step - loss: 0.1477 - accuracy: 0.9447 - val_loss: 0.1456 - val_accuracy: 0.9501\n", + "101/101 [==============================] - 14s 136ms/step - loss: 0.1584 - accuracy: 0.9391 - val_loss: 0.2235 - val_accuracy: 0.9197\n", "Epoch 30/30\n", - "101/101 [==============================] - 21s 205ms/step - loss: 0.1667 - accuracy: 0.9359 - val_loss: 0.1446 - val_accuracy: 0.9474\n" + "101/101 [==============================] - 14s 138ms/step - loss: 0.1730 - accuracy: 0.9341 - val_loss: 0.1590 - val_accuracy: 0.9418\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1165,10 +1245,10 @@ { "data": { "text/plain": [ - "618.6195929050446" + "420.0632104873657" ] }, - "execution_count": 132, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -1246,7 +1326,7 @@ }, { "cell_type": "code", - "execution_count": 133, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -1257,21 +1337,21 @@ "cnn测试集分类报告:\n", " precision recall f1-score support\n", "\n", - " 0 0.94 0.96 0.95 197\n", - " 1 0.96 0.93 0.94 164\n", + " 0 0.94 0.95 0.95 197\n", + " 1 0.94 0.93 0.94 164\n", "\n", - "avg / total 0.95 0.95 0.95 361\n", + "avg / total 0.94 0.94 0.94 361\n", "\n", - "cnn | 准确率: 0.9474\n", - "cnn | AUC: 0.9456\n", - "cnn | 漏报率为:0.0440\n", - "cnn | 误报率为:0.0594\n", - "cnn | 训练时长(秒):618.6196\n" + "cnn | 准确率: 0.9418\n", + "cnn | AUC: 0.9411\n", + "cnn | 漏报率为:0.0613\n", + "cnn | 误报率为:0.0556\n", + "cnn | 训练时长(秒):420.0632\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -1317,7 +1397,7 @@ }, { "cell_type": "code", - "execution_count": 138, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -1350,12 +1430,20 @@ " \n", " \n", " \n", + " 决策树\n", + " 0.722992\n", + " 0.720657\n", + " 0.304878\n", + " 0.253807\n", + " 4.575365\n", + " \n", + " \n", " 随机森林\n", " 0.833795\n", " 0.829841\n", " 0.162338\n", " 0.169082\n", - " 7.124548\n", + " 8.043200\n", " \n", " \n", " 支持向量机\n", @@ -1363,7 +1451,7 @@ " 0.856289\n", " 0.193370\n", " 0.100000\n", - " 12.292464\n", + " 12.798042\n", " \n", " \n", " 神经网络\n", @@ -1371,7 +1459,7 @@ " 0.735948\n", " 0.336634\n", " 0.188679\n", - " 10.210611\n", + " 9.890273\n", " \n", " \n", " Adaboost\n", @@ -1379,15 +1467,15 @@ " 0.706481\n", " 0.357143\n", " 0.230303\n", - " 37.866674\n", + " 41.472241\n", " \n", " \n", " CNN\n", - " 0.947368\n", - " 0.945648\n", - " 0.044025\n", - " 0.059406\n", - " 618.619593\n", + " 0.941828\n", + " 0.941083\n", + " 0.061350\n", + " 0.055556\n", + " 420.063210\n", " \n", " \n", "\n", @@ -1395,20 +1483,22 @@ ], "text/plain": [ "Name 准确率 AUC 漏报率 误报率 训练时长\n", - "随机森林 0.833795 0.829841 0.162338 0.169082 7.124548\n", - "支持向量机 0.853186 0.856289 0.193370 0.100000 12.292464\n", - "神经网络 0.728532 0.735948 0.336634 0.188679 10.210611\n", - "Adaboost 0.700831 0.706481 0.357143 0.230303 37.866674\n", - "CNN 0.947368 0.945648 0.044025 0.059406 618.619593" + "决策树 0.722992 0.720657 0.304878 0.253807 4.575365\n", + "随机森林 0.833795 0.829841 0.162338 0.169082 8.043200\n", + "支持向量机 0.853186 0.856289 0.193370 0.100000 12.798042\n", + "神经网络 0.728532 0.735948 0.336634 0.188679 9.890273\n", + "Adaboost 0.700831 0.706481 0.357143 0.230303 41.472241\n", + "CNN 0.941828 0.941083 0.061350 0.055556 420.063210" ] }, - "execution_count": 138, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result=pd.DataFrame({\n", + " \"决策树\":DT_result,\n", " \"随机森林\":RF_result,\n", " \"支持向量机\":SVM_result,\n", " \"神经网络\":MLP_result,\n", @@ -1423,12 +1513,12 @@ }, { "cell_type": "code", - "execution_count": 139, + "execution_count": 32, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1440,19 +1530,19 @@ "source": [ "result.iloc[:,:-1].plot()\n", "plt.title(\"各个模型性能比较\")\n", - "plt.xticks(np.arange(5),result.index)\n", + "plt.xticks(np.arange(6),result.index)\n", "plt.ylim([0,1])\n", - "plt.show()" + "plt.grid()" ] }, { "cell_type": "code", - "execution_count": 137, + "execution_count": 34, "metadata": {}, "outputs": [ { "data": { - "image/png": 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kKCioVpkQQrR1KmktGAxokbc163ab9Ehh7NixLF68mK1bt2KxWIiLi2PBggWcO3eOffv2MW/ePADmzJlTq0wIIdoqVVGB2rIOQoehefs167Y1pZRqzg0WFxeTkpJC//798fb2rrfsSuRxnM1H2qtxpL0aR9qrbrYdm1AfLsTwx1fQQobYy5tj+KjZb4jn6enJqFGjGiwTQoi2SiUlgH9n6Bfa7NuWK5qFEMKBqOwTkJ6KFjUezdD8XbQkBSGEcCAqaS04GdFGjdNl+5IUhBDCQaiyMtS29WhhI9E6NDy/2hQkKQghhINQuzdDyUW06Dt1i0GSghBCOAi1aQ10DoTeIbrFIElBCCEcgDqRAZnpaNF3oGmabnFIUhBCCAegkhLA2QVt5Fhd45CkIIQQOlPmEtT2TWjhkWgenrrGIklBCCF0pnYkQVkpWjPeIrs+khSEEEJHSqnKCebAnhDUR+9wJCkIIYSujv8EP2eiRY/XdYK5iiQFIYTQkdq0Blzd0IbfqncogCQFIYTQjbpYjNqVjDY8Gq2du97hAJIUhBBCN2r7Bigvd4gJ5iqSFIQQQgeVE8wJ0ONmtG7BeodjJ0lBCCH08NMhOP2zQx0lgCQFIYTQhdqUAO080CJG6x1KNZIUhBCimakLRag9W9BGjkFzddM7nGokKQghRDNTW9eBxYIW5VhDRyBJQQghmpWy2SpvfterP1rXbnqHU4skBSGEaE5pKZB72uEmmKtIUhBCiGZk25QAnu3Rho7SO5Q6SVIQQohmogoLYP8OtFHj0Jxd9A6nTsamWrHVauUPf/gDnTp1AuB3v/sd27dvZ+/evQQHBzN9+nQAli9fXqtMCCFaI7UlEaxWtNHj9Q6lXk12pJCVlcUtt9xCXFwccXFxWCwW0tLSmD9/Pl5eXqSkpJCRkVGrTAghWiNls6KS1kK/ULTOXfUOp15NdqTw008/sWfPHlJTU+nWrRsBAQEMHz4cTdMIDQ1l3759uLu71yobNGhQU4UkhBD6ObgHCvIwPPA7vSO5oiZLCsHBwcTGxuLj48N7771HeXk5AQEBAHh6elJYWIjBYLAPL1WV1SUxMZHExEQA4uPjMZlM1xyX0Wi8ruXbGmmvxpH2apy21F7ntm/A4u2LadxdaMZr63qbo72aLCl0794dZ2dnAIKCgrBarZSXlwNgNptRSuHm5larrC4xMTHExMTYX+fn519zXCaT6bqWb2ukvRpH2qtx2kp7qbN52HZvRbvzV5ytZ+f3alxPe1XtlDekyeYU3n33XY4fP47NZmPXrl2UlZWRlpYGVM43+Pv7ExQUVKtMCCFaG7X5e0Chjb5d71Aa1GRJYcqUKbz33nvMmjWL3r17M3nyZI4fP87HH3/M119/TWRkJH379q1VJoQQrYmyWFDJP8CAoWimTnqH0yBN1Tdm0wTKy8vZs2cPPXv2tM8l1FXWkOzs7GuOoa0crt4o0l6NI+3VOG2hvdSebdgWv47hv19CGzz8utbVHMNHTTanUBcXFxdGjBjRYJkQQrQWtk0J4GOCgeF6h3JV5IpmIYRoIir3NBzaizb6djQnJ73DuSqSFIQQoomopLVgMKBF3qZ3KFdNkoIQQjQBVVFR+dyEQcPQfPz0DueqSVIQQogmoPZugwvnMTjoLbLrI0lBCCGagNqUAKZO0H+w3qE0iiQFIYS4wdTpnyH9IFrUHWiGltXNtqxohRCiBVBJa8HJiHbLOL1DaTRJCkIIcQOp8jLU1nVoYSPROnjrHU6jSVIQQogbSO3eDCUXHfYZzA2RpCCEEDeQ2pQAnbtC7wF6h3JNJCkIIcQNon7OhIwjaNF3oGma3uFcE0kKQghxg6ikBDA6o40cq3co10ySghBC3ADKXILathEtIhLNo73e4VwzSQpCCHEDqJ1JUFaKFn2n3qFcF0kKQghxnZRSlRPMgT0gqI/e4VwXSQpCCHG9jh+FExmVVzC30AnmKpIUhBDiOqlNa8DVDW3ErXqHct0kKQghxHVQJcWoXUlow6LQ2rnrHc51k6QghBDXQW3fCOXlLfYK5pokKQghxDWyTzB374XWvZfe4dwQkhSEEOJaHT0M2SdazVECSFIQQohrpjatgXbuaMOi9A7lhpGkIIQQ10BdKEL9uBVtxBg0Vze9w7lhJCkIIcQ1UNvWgaWiVQ0dQTMkhcLCQp5//nkAFi9ezEsvvcTKlSvt79dVJoQQjkzZbKhNa6FXP7Su3fUO54Zq8qTwySefUF5ezo4dO7DZbMybN4+cnBxOnz5dZ5kQQji8IwcgN7vVHSUAGJty5QcPHsTV1RVvb29SU1MZOXIkAKGhoaSlpZGZmVmrrEuXLrXWk5iYSGJiIgDx8fGYTKZrjsloNF7X8m2NtFfjSHs1Tkttr8Jt6yn37ID/7feiubg223abo72aLClYLBZWrlzJ//zP//DGG29QVlaGr68vAJ6enmRmZtZZVpeYmBhiYmLsr/Pz8685LpPJdF3LtzXSXo0j7dU4LbG91Plz2HYmoY29m7NFF4ALzbbt62mvgICAq6rXZMNHX3/9NbfffjseHh4AuLm5UV5eDoDZbMZms9VZJoQQjkxt/gGsVrSo8XqH0iSa7EjhwIEDHDx4kLVr13L8+HHy8/Px8/Ojd+/eZGVlERAQgJ+fH2lpadXKhBDCUSmbFZX8PfQdhNY5UO9wmkSTJYVXXnnF/ntcXBzPP/88c+bM4dy5c+zbt4958+YB1FkmhBAOKXUvnM3FMOURvSNpMppSSjXXxoqLi0lJSaF///54e3vXW9aQ7Ozsa46hJY5h6knaq3GkvRqnpbWX9b3XIOMIhgUfoRmdm337zTGn0KRnH9Xk6enJqFGjGiwTQghHowryIGU32h2TdUkIzUWuaBZCiKugkn8AFNro2/UOpUlJUhBCiAYoqxW1+XsICUPz76x3OE1KkoIQQjQkZRcUFmCIbp2noV5OkoIQQjTAtmkNePvBwAi9Q2lykhSEEOIKVN4ZSN2LNvp2NCcnvcNpcpIUhBDiClTSWjAYWv0EcxVJCkIIUQ9lqUBtSYRBw9B8/PQOp1lIUhBCiHqovdvhwvk2McFcRZKCEELUQ21KAL+O0H+I3qE0G0kKQghRB3X6JBw5gBZ9B5qh7XSVbeeTCiFEI6ikteBkRLtlnN6hNCtJCkIIUYMqL0NtXYc2ZARaBx+9w2lWkhSEEKIGtXsLlBS3ymcwN0SSghBC1KCSEqBTV+gzUO9Qmp0kBSGEuIw6mQnH0ionmDVN73CanSQFIYS4jNq0FozOaKPG6h2KLiQpCCHEJcpcitq+AS08Es2jvd7h6OKqk8KWLVsAaMandwohRLNSO5PAXNomJ5irNPg4zoKCAhYvXozNZsNkMvH555/z+9//ns6dW/eDJoQQbY9KWgtdu0NwX71D0U2DRwoHDhxg4MCBxMbGEhgYyMCBA3nllVdISkpqjviEEKJZqOM/QdbRNjvBXKXeI4VPP/0Uo/GXt7/44gsALBYLTz/9NB9//DHt2rUjIqL1P3RCCNH6qU0J4OKKNvxWvUPRVb1JoVu3bri4uGCz2XC69GAJpRRWq5Vu3brx4osvEhcXx8CBA3Fzc2u2gIUQ4kZTJRdRO5PQhkejuXvoHY6u6h0+ioqKYsSIEVgsFv71r3+xa9cuCgsLCQ0NxdPTEx8fH4YOHcr69euvuIHi4mJSUlIoKiq64cELIcSNoHZshPKyNj3BXKXBOYWoqCjmzJnDoEGDyM7OJiUlhdzcXAD69evH9u3b6122uLiY+Ph4jh49yiuvvEJRURGLFy/mpZdeYuXKlfZ6dZUJIURzUEpVDh1174XWvZfe4eiu3qSwd+9e/vWvfwHg6+vL6tWriYmJ4d///jclJSUA9OnTh0mTJtW78hMnTjBt2jQmT55MaGgoBw8exGazMW/ePHJycjh9+jQ7duyoVSaEEM3m2GE4lSVHCZfUO6fQs2dPPvjgA4qLiwE4d+4c3377LTfddBPfffedvZ7FYmHIkLofQNG/f38ADh06xLFjxyguLmbkyJEAhIaGkpaWRmZmZq2yLl263JhPJ4QQDVCbEqCdO1rEaL1DcQj1JgVvb286duzIiBEjaN++PQcOHKCiooLdu3cTHR3NiBEjsNlsmM3mK25AKcXWrVvx8PBA0zR8fX0B8PT0JDMzk7KyslplNSUmJpKYmAhAfHw8JpPp2j+w0Xhdy7c10l6NI+3VOHq3l63oPHk/bqVdzD10CLxJtziuVnO01xUvXrv55psxGo0EBQXh6enJjBkzyMnJYdGiRRQXFzNjxowGz+fVNI3p06ezbNkyduzYwbhxlQ+sMJvN2Gw23NzcKC8vr1ZWU0xMDDExMfbX+fn5jf6gVUwm03Ut39ZIezWOtFfj6N1etu+/hopyyoZFt4jv7XraKyAg4KrqXXGi+YEHHmDQoEFomsaUKVMA6NSpE7NnzyYyMrLBhPD111+zadMmAEpKSrjvvvtIS0sDICsri44dOxIUFFSrTAghmpp9gjm4L1pgD73DcRhXTAouLi6VlQwGhg8fXq08PDy8wZXHxMSQlJTEnDlzsNlsDBs2jOTkZJYuXcq2bdsICwsjIiKiVpkQQjS5tBTIzUaLvlPvSByKppr5DndV1y30798fb2/vesuuJDs7+5q3r/fhaksj7dU40l6No2d72d5fgDq8H8OCj9BcXHWJobGaY/iowRvi3Wienp6MGjWqwTIhhGgqqugcau82tDF3t5iE0FzkeQpCiDZHbU4EqxUterzeoTgcSQpCiDZF2WyVt8juMxCtc6De4TgcSQpCiLbl0F44mysTzPWQpCCEaFNsmxKgvRfakOENV26DJCkIIdoMVZAP+3ehRcagGZ31DschSVIQQrQZavP3gEIbLRPM9ZGkIIRoE5TVikr+AUKGoPnLM+brI0lBCNE2HNgFhWcxyC2yr0iSghCiTbBtSgBvPxgoz5W/EkkKQohWT+WdgdS9aKNvQ7v0zHlRN0kKQohWTyWvBTS0yNv1DsXhSVIQQrRqylJReVuL0Ag0X3kAUkMkKQghWjW1dwdcOI8hSiaYr4YkBSFEq6Y2rQG/jhAyWO9QWgRJCkKIVkudOQlHDqBFjUczyATz1ZCkIIRotVTSWnByQouMabiyACQpCCFaKVVehtq6Hm3wCLQOPnqH02JIUhBCtErqx61w8QKaXMHcKJIUhBCtktq0Bjp1hb6D9A6lRZGkIIRoddTJ43AsrXKCWdP0DqdFkaQghGh1VFICGJ3RRo3VO5QWR5KCEKJVUeZS1LYNaOG3oHl20DucFkeSghCiVVG7ksFcKhPM18jYlCsvKSnh7bffxmaz4erqysyZM1myZAknT54kLCyMX/3qVwAsXry4VpkQQlwLtSkBunaH4H56h9IiNemRQnJyMnfffTezZ8/G29ubLVu2YLPZmDdvHjk5OZw+fZodO3bUKhNCiGuhjv8EWUdlgvk6NOmRwvjxvzwHtaioiOTkZCZMmABAaGgoaWlpZGZmMnLkyGplXbp0acqwhBCtlEpaCy6uaCPG6B1Ki9WkSaFKeno6Fy9exN/fH19fXwA8PT3JzMykrKysVllNiYmJJCYmAhAfH4/JdO23vzUajde1fFsj7dU40l6NcyPby3axmLydSbhF3Y5Xt+43ZJ2Opjn+vpo8KRQXF/PRRx/x3HPP8e2331JeXg6A2WzGZrPh5uZWq6ymmJgYYmJ+uXdJfn7+NcdjMpmua/m2RtqrcaS9GudGtpdtw3dQZqZ8+K2t9ju4nvYKCAi4qnpNOqdgsVh48803eeihh/D39ycoKIi0tDQAsrKy6NixY51lQgjRGEqpyiuYuwWj9bhZ73BatCZNCuvXryczM5NVq1YRFxeHUork5GSWLl3Ktm3bCAsLIyIiolaZEEI0yrE0OJUlp6HeAJpSSjXnBouLi0lJSaF///54e3vXW3Yl2dnZ17x9ObxvHGmvxpH2apwb1V62f7yF2rcdwxv/RHNrdwMic0zNMXzULBPNl/P09GTUqFENlgkhxNVQFy+gdm9Gi7ytVSeE5iJXNAshWjS1dT1YKtCixzdcWTRIkoIQosWqnGBOgOC+aIE99Q6nVZCkIIRouY4cgJxTaFEywXyjSFIQQrRYKmlFQ1rOAAAYbElEQVQtuHuihd+idyithiQFIUSLpIrOofZsQxs1Fs3FVe9wWg1JCkKIFkltWQdWiwwd3WCSFIQQLY6y2SqHjvoMROsSqHc4rYokBSFEy3NoH+TnyBXMTUCSghCixbFtSoD2XmhDRugdSqsjSUEI0aKognxI2Yl2Swya0VnvcFodSQpCiBZFbf4BbDa0KLmCuSlIUhBCtBjKaq1MCiFD0Pw76x1OqyRJQQjRchzYDefyMUTfqXckrZYkBSFEi2HblADevjAoQu9QWi1JCkKIFkHl50DqHrTI29GcnPQOp9WSpCCEaBFU8veAhjb6Nr1DadUkKQghHJ6yVFROMA8KR/P11zucVk2SghDC8e3bAUWFGOQK5iYnSUEI4fBsmxLAryOEDNE7lFZPkoIQwqGpM6cgLQVt9O1oBplgbmqSFIQQDk0lrwUnJ7RImWBuDpIUhBAOS1WUVz43YfBwNC8fvcNpEyQpCCEclvpxC1y8IFcwNyNJCkIIh6U2rYWOAdBnoN6htBlNnhQKCwt5+eWXAbBYLMTHxxMbG8v69evrLRNCCHUqC44eQosej2aQ/dfm0qQtXVxczKJFiygrKwMgISGBoKAg5s6dy44dOygtLa2zTAgh1KYEMBrRRo7TO5Q2xdiUKzcYDMycOZMFCxYAkJqaytSpUwHo168fx44dq7NswIAB1daTmJhIYmIiAPHx8ZhMpmuOyWg0XtfybY20V+NIezVOfe2lzKXk7diI26ixePUM0iEyx9Qcf19NmhTc3d2rvS4rK8PX1xcAT09Pzp8/X2dZTTExMcTExNhf5+fnX3NMJpPpupZva6S9Gkfaq3Hqay9b8veokouUjxgr7XmZ6/n7CggIuKp6zTpQ5+bmRnl5OQBmsxmlVJ1lQoi2TSWthYBu0Kuf3qG0Oc2aFIKCgkhLSwPg+PHj+Pv711kmhGi7VNZROP4TWtQdaJqmdzhtTpMOH9UUHR3N66+/zuHDhzl16hQ333wzvr6+tcqEEG2X2pQALi5oI2/VO5Q2SVPNPF5TUFBAWloagwcPts851FV2JdnZ2de8fRnzbRxpr8aR9mqcmu2lSkuwzXoELTwSwyPP6BiZY2qOOYVmPVIA8PX1ZdSoUQ2WCSHaHrVjI5SZ0eQKZt3IFSFCCIeglEJtXAPdgqBHL73DabMkKQghHEPGETiVhRYtE8x6kqQghHAIatMacGuHNixK71DaNEkKQgjdqYsXULu3oI24Fc2t4ZNNRNORpCCE0J3ath4qytGi5BnMepOkIITQlVKq8tqEoD5oN/XUO5w2T5KCEEJf6QfhzCm0aDlKcASSFIQQulKbEsDdAy08Uu9QBJIUhBA6shUWoPZsQxs1Ds3FVe9wBJIUhBA6Kl3/H7Ba0KLG6x2KuESSghBCF8pmo/T7f0PvAWhdbtI7HHGJJAUhhD4O78eaky0TzA6m2W+IJ4Rom5TNBhfOQ0EeFORhS/wGrYM32pCReocmLiNJQQhxQ6iyMjhX2eGrs3lQkF/5e0EenM2Fc/lgsVRbxuORP1Dq7KxTxKIukhSEEA2qtpd/Nreyoy/Iv9T5X/pXXFR9Ic0A3r7ga0LrcTOEjQI/fzRff7j0z6N7D0rl+RMORZKCEAJVZq6+Z1+QB2cv+72OvXxc24FfZeeu9bgZfE2XOv2OleVevmhG6WJaGvnGhGjllM0GRYX2Pfrqe/m5l/byL1Rf6PK9/J69YegtlZ2/rz/4mSr39Nt5yC2uWyFJCkK0cPa9fPuwTlXnn3/p93yw1tjLd2sHfh0rO/qeve3DOZWdvuzlt2XyrQvhwCr38s9dGsrJr7G3n1f/Xr6P7y8dfrW9/Eudv7uHPh9IODxJCkLoSJlLK8frz1bv6O0TuOfOXnkvP6hP9b18X3/w9kVzctLnA4kWT5JCG6VsVrBaKycPrZZLP61grfjld4uFisI8VFFR5d6nplX+NFz63VDjdVUdg+FSuVb95+XvaRpoWqsek1Y2G5w/V//kbUE+XKyxl28wgLffpQ6/r338/vIzdmQvXzQlSQrXSSl1qTO11Ohga3S2lopLZVUdcQVYragrLvNLPSw16litKMtlHbjVcmkb1rrXVaOzR9mu6vMVNHH7/ZI0rpRgav6sO8HUTkaXvVctmdW3rsp6Wq111dxWPesCzpebsWafrH8vv51H5Vk6vv5owX1lL184nDaTFNTZPNSGb7ng4oLtwoVqHbGq1ilf6sAv72yr3q+zs7U0vPHr4WQEoxGcnC797lz5u9FY+fry911cL5VVvq851ahbcxn7ei+rd6mOdqlehw7tKTpfCDYFSlXu/SobKFX503bp95o/1eWvL/vd/n6N96qtq8brmuuy1V6+elw1616+7kvfWZ1xX1pXXXFX2671l+3UiLPcywe8/Krv5V8a6sHHJHv5wuE5TFJYvHgxJ0+eJCwsjF/96lc3fgPF51Hr/0OpszPKYKjsCKt1tjU6znau9vc1o3O1zvaqO1gnY+UZHDXrOzlVdu6Xb7/aen6pp/fwiqvJhHbZxUWtd7DnxjCZTOTLxViiBXOIpLBjxw5sNhvz5s3jb3/7G6dPn6ZLly43dBta9144/e1L+U8rhBBX4BB3SU1NTWXkyMqbYoWGhpKWlqZzREII0TY5xJFCWVkZvr6+AHh6epKZmVnt/cTERBITEwGIj4/HZDJd87aMRuN1Ld/WSHs1jrRX40h7NU5ztJdDJAU3NzfKy8sBMJvN2GzVz4yJiYkhJibG/vp6hn9k+KhxpL0aR9qrcaS9Gud62isgIOCq6jnE8FFQUJB9yCgrK4uOHTvqHJEQQrRNDpEUIiIiSE5OZunSpWzbto2wsDC9QxJCiDbJIYaP3N3dmTNnDikpKdx33324u7vrHZIQQrRJDpEUoHKCedSoUXqHIYQQbZpDDB8JIYRwDJpSSukdhBBCCMfQ5o4U/vSnP+kdQosi7dU40l6NI+3VOM3RXm0uKQghhKifJAUhhBB2bS4pXH5ltGiYtFfjSHs1jrRX4zRHe8lEsxBCCLs2d6QghBCifi02KWRnZ7Nnzx69w2iVcnJyKCws1DuMNqWkpETvEIQAHOiK5vokJyezcuVKzGYz06ZNIyQkBA8PD7Zu3Vrrrn8zZ87krbfeory8nG+++QYAg8HApEmT7HWsVisGQ+VzeDdv3kx5eTljx44FwGazYah61u7587z11lvExcXZl33uuedYuHBhE3/ia5eUlERFRQXjxo2rVm61Wpk/fz6xsbH2stmzZ/Paa6/VuZ5vvvmGQYMGMWzYsDrfP3v2LH/605/o2rVrtfLs7Gxef/11/Pz87GVX853orby8nDfffJOZM2fi6uoKwJIlS7jrrruq/Y1t2bKF4cOHA5Wfoepvpcr58+eZMWMGPXr0qHM7p06dIjY2lm7dupGfn8+6det48MEHAZg3bx4zZsxoETeDLC4u5qmnnuLDDz/ExcXFXr58+XJCQkIICQmptcyV3rtWubm55OXl3dB1Ooply5Zx8OBBvLy8MBgMdOnShYceeojly5cDkJeXh4+PT7WyBx544IZs2+GTgtFoZOLEiezcuRM3Nze+/PJLLly4wI8//khQUBAJCQmMHj2acePG4e7ujs1mo7y8nJSUFKZNm8bf/va3ah3Q//3f//Hzzz+Tl5fH2bNnMRgMrFmzBj8/P0wmE9OnT8dms+F06eHpVqsVTdMwGAy4ubkBYLFY0DTNXkdPs2fPxsXFBU3TOH/+PDabja1btwKVnd3MmTPx8fHBarVisVj4/PPPOXbsGCdPniQuLo4OHTrw7LPPAvDWW29RUFDAiRMnOH78uL0Tr/LMM8/g7++Ps7NzvfFUdZRVtz+/mu9ETyUlJZw/f56oqCgKCwvZuXMn+/btIzs7mxMnTuDi4sLUqVNxc3Njx44d3HLLLXz33Xfs3bsXqLyr7x/+8AcGDRpEu3bt6NGjBy+++CIuLi5s3bqVsLAw3Nzc2LlzJ9u3b7d3oklJSXTv3h2LxcKJEyc4efIk77//vv2I4fXXX9etTRqSkpJCRUUFhw8fJjQ0VLc48vLySE1NbXVJ4ciRI6SlpTF37lx++OEHPvvsMw4dOsSUKVOq1Vu3bl2tshvB4ZOCpmkUFRXh5uZGaGgoP/30E+7u7gwZMsR+N1VPT09iY2PJyspi7ty5PPzww3h4eBAcHGzvyKs8/PDDZGRk8OmnnzJhwgQuXrxIamoqDz30EN26dQNg9+7drFq1ipycHF555RXGjh3L+vXr+emnn3j55ZdxcnLi4YcfJjg4uNnbo6bL9/a3b9+O2Wzm1ltvtZft3r2bjRs3cvLkST766COmT5+OwWAgLi6OuLg4LBaLvW5ubm69ndHbb79N1TkJBoOByMhIAgMDq9U5deoURmPln9TevXtZtWrVVX0neiooKODgwYMcPXqUjIwMSkpKePLJJ/nmm2+455572LhxIyUlJWzcuJEnnniCzz77jMjISCZMmMDOnTtJT09n0KBB1da5cOFCHn/8cf7zn/+Qm5tLZGQka9euxcvLC6h8ZkhmZibDhg3jr3/9K2VlZQQFBfHoo4+yevVqoqKi9GiKq7Zv3z7Gjx/Pvn37CA4O5q233sJms6GUIiQkBLPZzMKFCykrK6Nz58489dRTAHz77bcsX74cHx8fnnnmGQwGAx999BHHjx/H3d2dP/zhD3h6etYq8/Dw4L333iM/Px8nJyf+53/+h40bN7JhwwZKSko4dOgQzz77LB06dNC5ZW6M/fv3M2TIEDRNIzQ0lGXLltGtWzc2b95crV5dZTeCwycFgNLSUgDWrl1LXl4effv25cKFC/Tt25f333+fF154AYClS5cSGxtLRUVFrUN7AKUUn332GWazmeeee469e/diMBh46qmnWL58OefOnePZZ59l2LBh9o6g6o/N3d2dtLQ07rjjDoe6cd/58+d54403MBqNFBUVYbPZ2LhxI6GhoUyaNInw8HDCw8OJi4tj0qRJzJ07F4PBYO+sAaKjo4mKirK32Ycffsjp06cB8PDwsB9JAGzcuJEtW7bQrl07zp07Vyued999lzvvvJOhQ4eilGrwO9FbYGAgJpOJLVu28Mgjj7Bs2TLeeecd8vPzycjIoLCwkB49erB3714OHjxIcHAw/v7+rFixgo4dO+Lq6sqKFSuqHflMnTqVhQsXMmTIEJydnVm0aBHR0dGkpKQAlZ3j8ePHef3113nmmWe4cOEC3bp1IzY2lhEjRjBgwAC9muOqpKen8+qrrzJ37ly8vLwICwvjrrvusv89nTt3jjvvvJOBAwcyf/58+/xUcHAwU6ZM4YMPPmD37t04OTlRXl7Oq6++ysaNG/n3v/9N3759a5Xde++9nDhxggULFnDo0CFKSkqYMGEC3bt3JzU19YYNmziKwsJC+w5np06dGDp0KEOHDuXf//43Q4YMsdcbP358rbIbwfH+l9ahU6dOuLq6MmDAAIqLi+nduzenT59m586dFBYWYjAY2LZtGzabjQULFmA2m6uNdVZRSnH//fczdOhQjhw5wqBBgwgLCyMhIYEHH3yQWbNm2fd0N2/ezLlz55g/fz5Wq5UffviBzp07s27dOioqKpq7Cerl5eXFnDlzcHZ25o033uDtt98mKCiIvn372utkZ2fz888/s2HDBmbPnk1sbCwff/wxUDn8FBkZWW2dmZmZxMbGEhsba08OVW699VZ++9vfUlFRQVBQEO7u7rRr146goCDKysqYNm2a/Y/0ar4TvRUVFfGXv/yFkpISli1bhqZpzJgxg2HDhjFjxgyio6Px8PAgPj6ewMBAHnvsMT799FOGDx9OdHQ0999/Px07diQjI8O+zm7dutGuXTuCg4MZP348GRkZ1f7jTpw4kRdeeIHw8HBuuukmiouL+de//sXYsWPJzs7m008/JT09XY/maFBWVhYXLlzgzTffJDc3l9OnT9O9e3cAe0fm5OTEunXr+N///V+Ki4vtT1Xs1asXAD179iQnJ4eTJ09y8803A3DzzTdz6tSpOsvat29PdHQ08+fPZ8OGDQ51pNkU3N3dMZvNABw9epTt27fj7e1N165dOXTokL1eXWU3Qos4UgDo0qULR48etb8+c+YMe/bs4fz585SUlFBQUIC3tzfDhw/nxIkTtG/fvtY6jhw5wqpVqzh06BCBgYHcddddrFu3jsOHD7NhwwZ69OjBr3/9a86cOUOHDh2wWCxMmjSJTZs2ERAQQElJCSNHjuSDDz7g97//vcPs+To7OzN69GhWrlxJWFgYFy5coF+/fgCsWbOGffv2ERgYyMSJE3nllVfscwKZmZm8+uqr3HPPPdUebNTQpStKKTIyMigtLeX8+fMAnD59mtOnT9vnEgoLC6/qO9FbWloakyZN4rvvviMyMpLk5OQ6jxT++te/0r17d5YsWUL//v35+OOPyc7OpmPHjvj4+PDss8/aO78zZ85gNBpZvXo1Sil8fHzYtGmTfZulpaW888479OnTh7Vr13L27FkKCwvtR8TZ2dn2TsHR7N+/n0mTJnH33XezbNkyjEYjJ0+eZMCAARw/fpzQ0FDWr1/PiBEjGDlyZLUTNTIyMhg8eDBZWVkMGDAAFxcXdu7cybhx4/jpp58IDAzkpptuqlWWn59P+/bteemll/j888/ZuXMnY8eOxcXFxd7mSik0TdOpVW6sPn36kJiYyF133cWhQ4fsO1N33XUXL7zwAv3797fXravsejlGr9aA/Px8Dhw4QHh4OFD5BxAZGcnTTz+Nu7s7W7duZcKECQCMGTOGgoICbrrpplrr6devH/feey9eXl706tWLCxcuMHToUDp16sRNN93EE088Qc+ePenQoQP33nsvAH5+fnz55ZdMnjwZqLyi0GAw8P333zfTp786UVFRpKens3DhQn7zm9/Yy2+77Tb+/Oc/o2kaLi4uREVFMWHCBGJjY+nZsydz5syp9aS7nj17MnfuXObOnUuXLl1qbatdu3aMGTOGiIgIgoODCQoKIiIigjFjxtgfkLRt27ar+k70NmzYMPucQN++fbFarcyYMYOIiAhmzJjBuHHjUEoRFhZGeHg4v/3tbxk3bhxz5sxh0KBBPP3009WG1wA+/fRTHnnkESZPnsyXX37JK6+8Um2HxtXVlXvuuYcRI0bQt29fxowZw6BBg4iNjeXJJ5/E19e31jyFo9i/f799eGvAgAEcPnyYHTt2EBcXZ09qgwYN4uuvv+bVV18FKudtoDIBz5kzh/PnzxMREUFYWBguLi7Exsayfft27r333jrLvL29+fHHH4mNjSU1NZWBAwcClX+n2dnZvPzyy/aTK1qD8PBwOnXqxOzZszl8+LB9Ir1nz561Ov+6yq6Xwx8pWK1WTCYTU6ZMIT8/n+PHj5OTk8Po0aNxdXXliSeeYODAgWiaxqpVq+xj6jNmzAAqE0hOTg7Hjh2jR48eLFu2jMmTJ+Pp6YmmaSQnJzN48GDGjBnDe++9x2OPPUZISAjFxcUopejUqRPPP/+8fZIQ4Mknn2xwb7o5VFRUkJqaSkZGBllZWYwaNYoOHTqwaNEifH196dSpE6NGjcJkMtn3ooYMGcLnn3/O0KFD7Xv1VapeP/7447W2pZSyHxkdPHiQQ4cOYTAY7EcKZ8+eRSlFUFAQJpOJO+6446q+E0eanwH49a9/jaenJ1AZ5+TJk8nPz6e4uJgff/yR1atXM3369HpPHbXZbEyYMIGAgABcXFx47LHH8PLy4tlnn+Wtt94CKjvJb775Bn9/f2JiYnBxcSEpKYkjR45QXl5e7ymtjuDy05oHDBhQ7/xHzVO3Lx/OvNzvfve7qyqrmXih8szE559//orxtkSaptXZBkC1I68rlV2PFpEUqixfvpypU6eSnp7O2rVr0TSN0tJS0tPTmTJlCmazmd27d9OnTx+8vb0B8PX15c033yQmJoaOHTvyxz/+kbS0NCwWC2azmenTp7Ns2TK8vb156qmn7IdqFosFi8WCs7Oz/T9pWVkZgEMNGxUUFDBgwAAmTpxojys8PJwzZ86Qnp6Op6cnL730kn3ewM/Pj6effto+p3C5ug6/lVL2PT5fX18yMjJISkqyHxFUtUnVOG9CQgK+vr728eOGvhNHUdV2VTFWncILlX8L586dY9iwYfj6+rJ48WJcXV05deoU77//PgaDgXHjxtG/f38MBoN9z81kMmEymQB4//33yc/Px9vbGxcXF2bMmGE/e+vIkSNERUXxwAMPkJuby6pVq5r74wth1yrvfdTQ+GJVonGE6wzaitY05nujWSwWrFar/cI5IfTUKpOCEEKIa+MY4yBCCCEcgiQFIYQQdpIUhBBC2ElSEEIIYSdJQQghhN3/By6hSXWsu/4QAAAAAElFTkSuQmCC\n", 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\n", 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" ] @@ -1463,9 +1553,9 @@ ], "source": [ "result['训练时长'].plot(title=\"各模型训练时长\")\n", - "plt.xticks(np.arange(5),result.index)\n", + "plt.xticks(np.arange(6),result.index)\n", "plt.ylabel(\"秒\")\n", - "plt.show()" + "plt.grid()" ] }, {