Comments (5)
@zjuDebug The default boxes and the convolutional kernel sizes for prediction.
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@MhLiao Thanks a lot! Meanwhile, what's the difference between TextBoxes and SSD when training?
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@zjuDebug You'd better refer to the paper for training details.
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@MhLiao Thanks a lot!
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@MhLiao ,I read code of ssd and textbox ,beside the box and some kernel parameters .some kernel code seems revised. The most change is in MultiBoxLossLayer::Forward, the MineHardExamples has been deleted, and replaced by calcuate the class scores with loss fun and overlap of box,seems you think origanal code is not vary efficent or some basic kernel idea need update?? I think..
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Related Issues (20)
- Running TextBoxes on Caffe installed in Anaconda3 env HOT 2
- can not compile the CRNN HOT 5
- cannot find -lopencv_imgcodes HOT 1
- 关于模型的参数设置问题 HOT 3
- demo.py takes about 0.4s per image, when the model load only once and single scale is 700*700
- 关于 multi-scale的问题
- 关于Test的一些问题 HOT 8
- when i run "python examples/TextBoxes/train_icdar13.py",the error is occured when i train on my dataset.
- importError: libhdf5.so.101 HOT 1
- Where to place the downloaded model?
- Failed to run make -j8 HOT 1
- 请问如何您有synthtext数据集格式转换为icdar格式的脚本嘛,谢谢您分享一下鸭
- 请问如何能分享一下synthtext格式转换为icdar格式的脚本吗,谢谢鸭
- testing results on Total-Text HOT 1
- call for loss info/curve.
- 关于TextBoxes_icdar13.caffemodel模型
- Question about mismatch between the code with original paper
- icdar13 dataset consists of 229 training images and 233 testing images,
- will this work as an OCR solution? HOT 1
- Fine tuning on custom dataset: converting to LMDB HOT 5
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