caffe报错：Check failed: width ＜= datum_width (28 vs. 17)

Love The Way You Lie 2023-10-06 13:38 2阅读 0赞

使用caffe建立模型的时候需要转换LMDB格式，但转换完成进行训练的时候却会报错**Check failed**。这个错误的原因是图片大小不匹配。在之前我一直以为在转换之前要把所有图片大小转换为目标尺寸，于是自己写了一个脚本把所有图片大小转换。但还是有纰漏的地方，今天发现一个更好的方法，记录下来！  
  其实也很简单：就是把大小修改放在转换lmdb的脚本中，在脚本中添加如下语句：

RESIZE=true
    if $RESIZE; then
      RESIZE_HEIGHT=28
      RESIZE_WIDTH=28
    else
      RESIZE_HEIGHT=0
      RESIZE_WIDTH=0
    fi

再把下面训练集和测试集resize\_height和resize\_width参数换成上文的变量即可。

GLOG_logtostderr=1 $TOOLS/convert_imageset \
        --resize_height=$RESIZE_HEIGHT \
        --resize_width=$RESIZE_WIDTH \
        --shuffle \
        $TRAIN_DATA_ROOT \
        $DATA/train.txt \
        $EXAMPLE/TibetanWord_train_lmdb

发现了这个方法，觉得以前憨憨的。以后就用这个啦！

文末附完整代码：

#!/usr/bin/env sh
    # Create the imagenet lmdb inputs
    # N.B. set the path to the imagenet train + val data dirs
    set -e
    
    EXAMPLE=examples/TibetanWord
    DATA=examples/TibetanWord
    TOOLS=build/tools
    
    #TRAIN_DATA_ROOT=/home/user/caffe/examples/TibetanWord/train/
    TRAIN_DATA_ROOT=examples/TibetanWord/
    #VAL_DATA_ROOT=/home/user/caffe/examples/TibetanWord/test/
    VAL_DATA_ROOT=examples/TibetanWord/
    
    rm -rf $EXAMPLE/TibetanWord_train_lmdb
    rm -rf $EXAMPLE/TibetanWord_test_lmdb
    
    # Set RESIZE=true to resize the images to 256x256. Leave as false if images have
    # already been resized using another tool.
    RESIZE=true
    if $RESIZE; then
      RESIZE_HEIGHT=28
      RESIZE_WIDTH=28
    else
      RESIZE_HEIGHT=0
      RESIZE_WIDTH=0
    fi
    
    if [ ! -d "$TRAIN_DATA_ROOT" ]; then
      echo "Error: TRAIN_DATA_ROOT is not a path to a directory: $TRAIN_DATA_ROOT"
      echo "Set the TRAIN_DATA_ROOT variable in create_imagenet.sh to the path" \
           "where the ImageNet training data is stored."
      exit 1
    fi
    
    if [ ! -d "$VAL_DATA_ROOT" ]; then
      echo "Error: VAL_DATA_ROOT is not a path to a directory: $VAL_DATA_ROOT"
      echo "Set the VAL_DATA_ROOT variable in create_imagenet.sh to the path" \
           "where the ImageNet validation data is stored."
      exit 1
    fi
    
    echo "Creating train lmdb..."
    
    GLOG_logtostderr=1 $TOOLS/convert_imageset \
        --resize_height=$RESIZE_HEIGHT \
        --resize_width=$RESIZE_WIDTH \
        --shuffle \
        $TRAIN_DATA_ROOT \
        $DATA/train.txt \
        $EXAMPLE/TibetanWord_train_lmdb
    
    echo "train finish"
    echo "Creating val lmdb..."
    
    GLOG_logtostderr=1 $TOOLS/convert_imageset \
        --resize_height=$RESIZE_HEIGHT \
        --resize_width=$RESIZE_WIDTH \
        --shuffle \
        $VAL_DATA_ROOT \
        $DATA/test.txt \
        $EXAMPLE/TibetanWord_test_lmdb
    
    echo "Done."

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