Table based data

[engahmed1190]

i am having data looks like that the result from pre-trained model is not bad but i would like to collect more from the image

result

what will be the attributes of the training in this case , how i can get better results

[shubhamgarg21]

@engahmed1190 i am having the same problem. were you able to solve this?

hi @argman pre-trained file almost always leaves the single character from the images. can you please help in providing some insight on how to re-train the model to address this problem.

[engahmed1190]

@sg77492 , still struggling I have tried another dataset but results are bad

what do you think @zxytim @argman

[zxytim]

Try merge quadrangles using "maximum" of scores instead of average.

On Tue, Jan 2, 2018 at 12:26 AM engahmed1190 notifications@github.com wrote:

@sg77492 https://github.com/sg77492 , still struggling I have tried another dataset but results are bad

what do you think @zxytim https://github.com/zxytim @argman https://github.com/argman

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[engahmed1190]

Hi @zxytim Do you mean the merging done in the locality_aware_nms

def weighted_merge(g, p):
    g[:8] = (g[8] * g[:8] + p[8] * p[:8])/(g[8] + p[8])
    g[8] = (g[8] + p[8])
    return g

or something else happens in icdar file