Comments (3)
是用来加测模型和测试数据的,明白了
from caffe_ocr_for_linux.
./ocr_test /ai/zhaoliang/7_caffe_ocr_for_linux/caffe_ocr_for_linux/datatest /ai/zhaoliang/7_caffe_ocr_for_linux/caffe_ocr_for_linux/models/densenet-sum-blstm-full-res-blstm
from caffe_ocr_for_linux.
datatest是用原作者readme里面post出来的的几张中文图片,模型也是从原作者的百度云上download的
from caffe_ocr_for_linux.
Related Issues (20)
- 验证集上准确率很高,测试集上准确率很低是怎么回事 HOT 1
- 多值标签制作lmdb问题 HOT 1
- protobuf version?
- 编译报错
- 编译成功 生成ocr_test最后出现ocr_test imgfolder modelfolder [chi|eng]
- 乱码
- 有关训练
- 关于训练出现ctcloss=0怎么解决
- 请教大神,务必回复
- 将fc1x层的节点数由5990变为36(因为我只识别数字和大写英文字母),无法训练,loss=nan HOT 12
- 编译错误 HOT 2
- Makefile:601: recipe for target '.build_release/cuda/src/caffe/layers/DenseBlock_layer.o' failed HOT 3
- 编译和测试没问题,但在训练模型时出现warp_ctc_loss_layer.cu:118] Check failed: status == CTC_STATUS_SUCCESS (3 vs. 0) HOT 2
- 无
- 选择哪块显卡运行ocr_test
- 训练时将训练样本遍历一遍后,再shuffle一下样本顺序
- 加载train_lmdb时出现问题 HOT 1
- 标签为0,错误?
- 预测时,置信度,怎么得到
- 为什么resent中的最后一个全连接层为5990? 为什么不是训练的类别个数 4105?
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from caffe_ocr_for_linux.