How to test on ICDAR2015 training set

[wjp0408]

Hi, If I want to output detection results on ICDAR2015 training set, what should I do ? I change "icdar2015_test" to "icdar2015_train" in config yaml file, but i got this error:

So why this happened... And what should I do ? Thanks ：）

[wjp0408]

I have solved this problem, and It caused by charboxes = []. Sorry to bother that.

[DecentMakeover]

@wjp0408 Hi can you tell me how you solved this problem, even i'm facing a similar issue.

Thanks in advance.

[wjp0408]

@wjp0408 Hi can you tell me how you solved this problem, even i'm facing a similar issue.

Thanks in advance.

Just modify the code in the end of functionload_gt_from_txt(self, gt_path, height, width) in lib/datasets/text_dataset.py like this:

if len(boxes) > 0:
            if self.use_charann:
                #print(charboxes)
                if not len(charboxes): charboxes = np.zeros((0, 10), dtype=np.float32)
                else: charboxes = np.vstack(charboxes)
                return words, np.array(boxes), np.array(polygons), charboxes, np.array(seg_areas), segmentations
            else:
                charbbs = np.zeros((0, 10), dtype=np.float32)
                return words, np.array(boxes), np.array(polygons), charbbs, np.array(seg_areas), segmentations
else:
            return [], np.zeros((0, 4), dtype=np.float32), np.zeros((0, 8), dtype=np.float32), np.zeros((0, 10), dtype=np.float32), np.zeros((0), dtype=np.float32), []

[DecentMakeover]

Hi @wjp0408 Thank you so much for your time, this works. But since i want to train the network,this will result in Loss in Nan and then exit the training script.

I'm guessing this is because the charboxes are empty, is there a way around this?

Thanks again!

[zhengjiawen]

Hi @DecentMakeover I also encountered the same problem that loss is Nan, do you have any ways? Thanks!

[zhoujianwen]

@zhengjiawen I still have no way to train the model,and I have been reporting errors.Have you solved it yet?

[DecentMakeover]

@zhengjiawen Ah, My best guess is that your data does not have character level annotation.Can you check?

[zhoujianwen]

@DecentMakeover Have you ever encountered such mistakes when training models?

34

[zhengjiawen]

@zhengjiawen Ah, My best guess is that your data does not have character level annotation.Can you check?

Thanks a lot, but I train on ICDAR2015 train dataset. The problem does not reappear when I download pre-trained model.

[DecentMakeover]

but icdar 2015 does not have character level annotation right? only icdar2013 does. How are you training it? How are the results?

[zhengjiawen]

@zhengjiawen I still have no way to train the model,and I have been reporting errors.Have you solved it yet?

你可以试试自己下载预训练模型，而不是使用配置文件里的url

[zhengjiawen]

but icdar 2015 does not have character level annotation right? only icdar2013 does. How are you training it? How are the results?

Yes，I only get coordinate of bounding box, and use crnn to recognition.The result is not good.:)

[DecentMakeover]

Oh ,okay. What do you think of textboxesplusplus?

[zhengjiawen]

Oh ,okay. What do you think of textboxesplusplus?

Sorry, I haven;t read the paper yet. But I think FOTS is efficient enough and performance better.

[DecentMakeover]

do you know of a good implementation? i am currently looking at this one -https://github.com/Pay20Y/FOTS_TF

[zhoujianwen]

@zhengjiawen Thank you. Which pre-training model do you use?Can you share?

[zhengjiawen]

do you know of a good implementation? i am currently looking at this one -https://github.com/Pay20Y/FOTS_TF

I am also looking for a good open source implementation. :)

[zhengjiawen]

@zhengjiawen Thank you. Which pre-training model do you use?

You can download the pre-training model directly. https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl

[zhoujianwen]

@zhengjiawen Thank you very much. I'll try.

[zhoujianwen]

@wjp0408 Hello, wjp0408! How to solve charboxes=[] and no error in training model?

[zhoujianwen]

@zhengjiawen Thank you. Which pre-training model do you use?

You can download the pre-training model directly. https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl

Also this error message, how do you solve it?

[zhoujianwen]

@zhengjiawen Thank you. Which pre-training model do you use?

You can download the pre-training model directly. https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl

Also this error message, how do you solve it?

it's solved.thanks.

[sdzbft]

do you know of a good implementation? i am currently looking at this one -https://github.com/Pay20Y/FOTS_TF

hi, can this implemen work? thanks in advance

[DecentMakeover]

The results are not good