我在训练数据时收到了以下错误。我已经尝试了网上给出的所有解决方案，但对我来说似乎都不起作用。我已经检查了lmdb文件的路径和大小都非零。但问题仍然存在。我不知道如何解决这个问题。

pooling_I0411 12:42:53.114141 21769 layer_factory.hpp:77] 创建层 dataI0411 12:42:53.114586 21769 net.cpp:91] 创建层 dataI0411 12:42:53.114604 21769 net.cpp:399] data -> dataI0411 12:42:53.114645 21769 net.cpp:399] data -> labelF0411 12:42:53.114650 21772 db_lmdb.hpp:14] 检查失败：mdb_status == 0 (2 vs. 0) 没有这样的文件或目录*** 检查失败堆栈跟踪： ***I0411 12:42:53.114673 21769 data_transformer.cpp:25] 从以下路径加载均值文件：/home/Documents/Test/Images300/train_image_mean.binaryproto@ 0x7fa9436a3daa (未知)@ 0x7fa9436a3ce4 (未知)@ 0x7fa9436a36e6 (未知)@ 0x7fa9436a6687 (未知)@ 0x7fa943b0472e caffe::db::LMDB::Open()@ 0x7fa943afc644 caffe::DataReader::Body::InternalThreadEntry()@ 0x7fa940e46a4a (未知)@ 0x7fa9406fe182 start_thread@ 0x7fa942a8a47d (未知)@ (nil) (未知)已中止（核心已转储）

以下是我的文件设置：

name: "GoogleNet"layer {    name: "data"    type: "Data"    top: "data"    top: "label"    include {        phase: TRAIN    }    transform_param {        mirror: true        crop_size: 224        mean_file: "/home/Documents/Test/Images300/train_image_mean.binaryproto"    }    data_param {        source: "/home/caffe/examples/zImageDetection/ImageDetection_train_lmdb"        batch_size: 32        backend: LMDB    }}layer {    name: "data"    type: "Data"    top: "data"    top: "label"    include {        phase: TEST    }    transform_param {        mirror: false        crop_size: 224        mean_file: "/home/Documents/Test/Image300/test_image_mean.binaryproto"    }    data_param {        source: "/home/caffe/examples/zImageDetection/ImageDetection_val_lmdb"        batch_size: 50        backend: LMDB    }}

回答：

您没有正确设置到LMDB目录的路径。请前往您创建LMDB的目录，并使用以下命令获取绝对路径：

$ readlink -f <LMDB_directory_name>

使用此路径，应该可以解决您的问题。