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mvoelk / ssd_detectors

SSD-based object and text detection with Keras, SSD, DSOD, TextBoxes, SegLink, TextBoxes++, CRNN
MIT License
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[Question] Can you please upload the pickled dataset that you used for training SegLink? #8

Closed sniper0110 closed 5 years ago

sniper0110 commented 5 years ago

Hello,

Can you please upload the pickled dataset that you used for training SegLink?

It would be great if we can just run the code first and then try to understand the pipeline. I am asking this because I am finding it difficult to understand how the data is prepared for training SegLink. I have trained object detectors before but I think I am missing a step when it comes to training text detectors. So checking your data and playing with it would definitely help me understand better the pipeline.

Thanks in advance.

mvoelk commented 5 years ago

You do not need the pickled data. Simply replace

with open('gt_util_synthtext_seglink.pkl', 'rb') as f:
    gt_util = pickle.load(f)

with

 gt_util = GTUtility('data/SynthText/', polygon=True)

The gt_util_synthtext_seglink.pkl is only to speed up the parsing of the dataset. It is serialized in datasets.ipynb and does not contain the image data itself, only filenames, bounding boxes and so on. See also #1 ...

sniper0110 commented 5 years ago

Thanks for the quick reply. Did you get the SynthText dataset from here http://www.robots.ox.ac.uk/~vgg/data/scenetext/ ?

mvoelk commented 5 years ago

Yes!

sniper0110 commented 5 years ago

Alright thanks!

anindya7 commented 4 years ago

Could someone who has generated the .pkl file PR it? I'm on a limited bandwidth network and would like to run the end2end notebook.