to write 2 class
1) to compare 2 image similarity and output result as array of %
2) to create statistic report output as dictionary > Json / XML
1) write in python
2) use common library if possible
3) request opinion: can this logic run in pyspark / tensorflow or some other machine learning technology / GPU when image are "too many"
# pseudo code
img_recognize.main_chart( img_A )
img_recognize.sub_charts( [img_B, C, D, E, F, G ...] )
output = [login to view URL]()
main_img : img_A,
sub_imgs : [ img_b : 90%, B : 80%, C: 72%, D: 60%, E: 34% ]
conclusion = analysis_result( output )
statistic_report of the image comparison
22 pekerja bebas membida secara purata $168 untuk pekerjaan ini
i can easily do this with the given requirements. I will inform you on how image comparison works, so you get the results you want. I haven't worked with tensorflow, but I can take care of the nonoptional requirements.