CNN_VGG19_verilog
Convolutional Neural Network of VGG19 model in verilog
system architecture
cliffordwolf/picorv32 - CPU with RISC-V ISA
CNN architecture
VGG19 (imagenet-very-deep-vgg19.mat) - pretrained model by imagenet with 19 layers
Some useful tools
tools written by myself that will help a lot
vgg19.py
analyze imagenet-very-deep-vgg19.mat(need to download by yourself) and output to vgg19_weight/bias.txt
make vgg
image_converter.py
convert RGB value of .jpg(224 * 224) into .txt (in RGB order)
make image
softmax.py
convert output of the model, vgg19_output.txt, into problilities of
1000 classes corresponding to synset_word.txt and write to
vgg19_probs.txt
make softmax
image folder
contain some .jpg files and its corresponding .txt and predict files
execution
make pcpi
p.s it's not actually a trainable model, just a reconstruction of vgg19 to input an image and get its prediction.