Thank you for your kind reminder. I have done this. And confusing thing happens. I train my model with grey scale image without any 300dpi resize. It goes not that well when I validate with my some of my test data. But if I resize test image to 300 dpi, it’s better. In fact ,image will be resize to a fixed size before go through the network. Let’s say, the same text in the same image , no matter how I resize it, there will be a same fixed image to be put into the network. Why here image size matters too much.
Besides, The reason why I use grey scale is that I have seen the input of the given tesseract lstm model is 1 in depth not 3. My real data is very complicated screen shot from some video. is it better if I use colored image to train model? On Wed, Apr 3, 2019 at 18:51 Shree Devi Kumar <[email protected]> wrote: > I haven't trained with real images. I would guess that training images > should be similar to what you will be using for OCR. It might be best to > test with a small set of images and see what works best for you. > > On Wed, Apr 3, 2019 at 2:38 PM Du Kotomi <[email protected]> wrote: > >> If we use text2image tool, there is no such problem. >> >> What about training with our real data. I have enough images for >> training. Should I need to do some preprocess like binary or resized dpi >> and then do lstm training? >> >> On Wed, Apr 3, 2019 at 16:36 Shree Devi Kumar <[email protected]> >> wrote: >> >>> Usually for LSTM training we are using synthetic images created by >>> text2image program using training text and fonts using tesstrain.sh or >>> tesstrain.py. Hence there is no question of binarization or dpi as the >>> program creates images as expected by tesseract training process. >>> >>> On Wed, Apr 3, 2019 at 12:31 PM Du Kotomi <[email protected]> wrote: >>> >>>> Anybody here? >>>> >>>> On Wed, Apr 3, 2019 at 09:57 <[email protected]> wrote: >>>> >>>>> Sorry for disturb again. I have sent my issue befire, but no one gives >>>>> the answer. I really need your help. >>>>> >>>>> >>>>> I go through the source code and find tesseract do Otsu Thresholding >>>>> and put the binary pix in the Thresholder object. >>>>> But It seems the Thresholder object haven't been invoked if I use >>>>> lstm engines. >>>>> As well as dpi size,tesseract wiki said it is better for 300 dpi. This >>>>> is a requirement for tesseract 3.0 engine or even before, right? >>>>> If I training lstm tesseract, it doesn't matter whether I do binary or >>>>> resize the dpi of images, right? >>>>> >>>>> >>>>> I will be every appreciated if any response is sent. 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