panlanlan
panlanlan
/usr/bin/ld: build/src/seg_label_generator.o: undefined reference to symbol '_ZN2cv7imwriteERKNS_6StringERKNS_11_InputArrayERKSt6vectorIiSaIiEE' //usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.3.2: 无法添加符号: DSO missing from command line collect2: error: ld returned 1 exit status Makefile:41: recipe for target 'seg_label_generate' failed make: *** [seg_label_generate]...
请问mean_value.txt是怎么得到的
Traceback (most recent call last): File "E:/LicensePlate_Recognition/mxnet-cnn-plate-recognition/train.py", line 304, in train(); File "E:/LicensePlate_Recognition/mxnet-cnn-plate-recognition/train.py", line 284, in train model = mx.mod.FeedForward(ctx=devs, #使用GPU来跑 - AttributeError: module 'mxnet.module' has no attribute 'FeedForward'
i want to achieve the joint detection and segmentation but i do not know how to make the train dataset？can you tell me the the format of the data?
subprocess.CalledProcessError: Command returned non-zero exit status -11
how can i solve the problem ResourceExhaustedError (see above for traceback): OOM when allocating tensor of shape [7,7,512,4096] and type float [[Node: fc6/weights/Adam/Initializer/zeros = Const[dtype=DT_FLOAT, value=Tensor, _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]]
when i run the train.py terminate called after throwing an instance of 'std::bad_alloc' what(): std::bad_alloc i run the code on the cpu ubuntu18.04 can you help me solve the problem
can I compile it on windows system?
我是这样来训练的，首先将训练样本生成对应的标签，然后将标签转化成采用convert_imageset转换成对应lmdb格式的，然后采用densenet-res-blstm_train-val.prototxt开始训练，可是ctcloss=0，刚接触深度学习，不知道如何解决问题
I0926 10:52:45.730175 5561 solver.cpp:237] Train net output #0: ctcloss = 0 (* 1 = 0 loss) I0926 10:52:45.730180 5561 sgd_solver.cpp:105] Iteration 3000, lr = 0.01 I0926 10:52:47.260527 5572 data_layer.cpp:78] Restarting...