caffe_ocr_for_linux icon indicating copy to clipboard operation
caffe_ocr_for_linux copied to clipboard

Results 28 caffe_ocr_for_linux issues
Sort by recently updated
recently updated
newest added

In file included from src/caffe/layers/DenseBlock_layer.cpp:19:0: ./include/caffe/layers/DenseBlock_layer.hpp:147:3: error: ‘cudnnTensorDescriptor_t’ does not name a type cudnnTensorDescriptor_t * quadG_tensorDesc; ^ ./include/caffe/layers/DenseBlock_layer.hpp:148:3: error: ‘cudnnTensorDescriptor_t’ does not name a type cudnnTensorDescriptor_t * quadG_paramDesc; ^ ./include/caffe/layers/DenseBlock_layer.hpp:149:3:...

I ran into the following error: NVCC src/caffe/layers/cudnn_sigmoid_layer.cu /usr/local/include/boost/core/noncopyable.hpp(42): error: defaulted default constructor cannot be constexpr because the corresponding implicitly declared default constructor would not be constexpr 1 error detected...

你好,编译通过了,测试也没有问题,但是在训练模型时出现warp_ctc_loss_layer.cu:118] Check failed: status == CTC_STATUS_SUCCESS (3 vs. 0) CTC Error: execution failed 怎么解决呢?谢谢

预测时,置信度,怎么得到

我用来训练7位的英文字母,训练的时候准确率达到99.9%以上,但是我就用训练集进行测试,结果只有不到3%完全正确,测出来的结果是6位甚至5位,是测试脚本的问题么?

我在进行ocr_test测试时,使用第0块显卡;现在我想通过命令行参数传递使用哪块选卡,于是做了如下修改 bool Classifier::Init(const string& model_path, int gpu_id) { const string trained_file = model_path + "/model.caffemodel"; const string model_file = model_path + "/deploy.prototxt"; string mean_file = model_path + "/mean.binaryproto"; const string...