Computer Vision News - January 2022

20 Deep Learning Tool Once opened your Python script on terminal or on your favorite editor, you can define the vgg16 architecture as follows. import sys sys.path.append(‘../’) from pycore.tikzeng import * # defined your arch arch = [ to_head( ‘..’ ), to_cor(), to_begin(), #conv1 to_ConvConvRelu( name=’cr1’, s_filer= 64 , n_filer=( 224 , 224 ), offset=”(0,0,0)”, to=”(0,0,0)”, width=( 2 , 2 ), height= 40 , depth= 40 , caption=”conv1”), to_Pool(name=”p1”, offset=”(0,0,0)”, to=”(cr1-east)”, width= 1 , height= 35 , depth= 35 , opacity= 0.5 ), #conv2 to_ConvConvRelu( name=’cr2’, s_filer= 128 , n_filer=( 112 , 112 ), offset=”(2,0,0)”, to=”(p1-east)”, width=( 4 , 4 ), height= 35 , depth= 35 , caption=”conv2”), to_Pool(name=”p2”, offset=”(0,0,0)”, to=”(cr2-east)”, width= 1 , height= 30 , depth= 30 , opacity= 0.5 ), #conv3 to_ConvConvRelu( name=’cr3’, s_filer= 256 , n_filer=(“56”,”56”,”56”), off- set=”(2,0,0)”, to=”(p2-east)”, width=( 4 , 4 , 4 ), height= 30 , depth= 30 , caption=”- conv3”), to_Conv(“cr3-bis”, 256 , 56 , offset=”(0,0,0)”, to=”(cr3-east)”, height= 30 , depth= 30 , width= 4 ), to_Pool(name=”p3”, offset=”(0,0,0)”, to=”(cr3-bis-east)”, width= 1 , height= 23 , depth= 23 , opacity= 0.5 ), #conv4 to_ConvConvRelu( name=’cr4’, s_filer= 512 , n_filer=(“28”,”28”,”28”), off- set=”(2,0,0)”, to=”(p3-east)”, width=( 4 , 4 , 4 ), height= 25 , depth= 25 , caption=”- conv4”), to_Conv(“cr4-bis”, 512 , 28 , offset=”(0,0,0)”, to=”(cr4-east)”, height= 25 , depth= 25 , width= 4 ), to_Pool(name=”p4”, offset=”(0,0,0)”, to=”(cr4-bis-east)”, width= 1 , height= 21 , depth= 21 , opacity= 0.5 ),