Volta-X3.sh

STYLE_IMAGE=OVENKEYS/AD3/
CONTENT_IMAGE=OVEN/023.jpg





STYLE_WEIGHT=1000
STYLE_SCALE=1
CONTENT_WEIGHT=5


th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-style_weight $STYLE_WEIGHT \
-style_scale $STYLE_SCALE \
-content_image $CONTENT_IMAGE \
-print_iter 1 \
-save_iter 100 \
-image_size 512 \
-num_iterations 1000 \
-model_file models/nyud-fcn32s-color-heavy.caffemodel \
-proto_file models/nyud-fcn32s-color-heavy-trainval.prototxt \
-content_layers relu1_1,relu2_1,relu3_1,relu4_1,relu5_1 \
-style_layers relu1_1,relu2_1,relu3_1,relu4_1,relu5_1 \
-optimizer lbfgs \
-output_image X1.png \
-tv_weight 0.00001 \
-gpu 1,2,0 \
-multigpu_strategy 1,7,6 \
-original_colors 0 \
-backend cudnn \
-init random \



STYLE_WEIGHT=100
STYLE_SCALE=1
CONTENT_WEIGHT=375


th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-style_weight $STYLE_WEIGHT \
-style_scale $STYLE_SCALE \
-content_image $CONTENT_IMAGE \
-init image \
-init_image X1.png \
-print_iter 1 \
-image_size 800 \
-num_iterations 500 \
-model_file models/nyud-fcn32s-color-heavy.caffemodel \
-proto_file models/nyud-fcn32s-color-heavy-trainval.prototxt \
-content_layers relu1_1,relu2_1,relu3_1,relu4_1,relu5_1 \
-style_layers relu1_1,relu2_1,relu3_1,relu4_1,relu5_1 \
-optimizer lbfgs \
-output_image X2.png \
-tv_weight 0.00001 \
-gpu 1,2,0 \
-multigpu_strategy 1,7,6 \
-original_colors 0 \
-normalize_gradients \
-backend cudnn



STYLE_WEIGHT=1000
STYLE_SCALE=1
CONTENT_WEIGHT=0



th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-style_weight $STYLE_WEIGHT \
-style_scale $STYLE_SCALE \
-content_image $CONTENT_IMAGE \
-content_weight $CONTENT_WEIGHT \
-output_image X3.png \
-num_iterations 200 \
-model_file models/nyud-fcn32s-color-heavy.caffemodel \
-proto_file models/nyud-fcn32s-color-heavy-trainval.prototxt \
-optimizer adam \
-print_iter 1 \
-save_iter 100 \
-tv_weight 0 \
-backend cudnn \
-init image \
-init_image X2.png \
-learning_rate 1 \
-image_size 1148 \
-gpu 1,2,0 \
-original_colors 0 \
-normalize_gradients \
-multigpu_strategy 6,12,8\


#Insert




th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-style_weight $STYLE_WEIGHT \
-style_scale $STYLE_SCALE \
-content_image $CONTENT_IMAGE \
-content_weight $CONTENT_WEIGHT \
-output_image X4.png \
-num_iterations 600 \
-model_file models/channel_pruning.caffemodel \
-proto_file models/channel_pruning.prototxt \
-optimizer adam \
-print_iter 1 \
-save_iter 100 \
-tv_weight 0 \
-backend cudnn \
-init image \
-init_image X3.png \
-learning_rate 1 \
-image_size 1800 \
-gpu 1,2,0 \
-original_colors 0 \
-multigpu_strategy 6,12,8 \
-normalize_gradients \




#Insert


th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-style_weight $STYLE_WEIGHT \
-style_scale $STYLE_SCALE \
-content_image $CONTENT_IMAGE \
-content_weight $CONTENT_WEIGHT \
-output_image X5.png \
-model_file models/nin_imagenet_conv.caffemodel \
-proto_file models/train_val.prototxt \
-num_iterations 200 \
-content_layers relu0,relu1,relu2,relu3,relu5,relu6,relu7,relu8 \
-style_layers relu0,relu1,relu2,relu3,relu5,relu6,relu7,relu8 \
-optimizer adam \
-print_iter 1 \
-save_iter 100 \
-tv_weight 0 \
-backend cudnn \
-init image \
-init_image X4.png \
-learning_rate 1 \
-image_size 2550 \
-gpu 1,2,0 \
-original_colors 0 \
-normalize_gradients \
-multigpu_strategy 8,14,11\



STYLE_WEIGHT=1000
STYLE_SCALE=1
CONTENT_WEIGHT=0


th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-style_weight $STYLE_WEIGHT \
-style_scale $STYLE_SCALE \
-content_image $CONTENT_IMAGE \
-content_weight $CONTENT_WEIGHT \
-output_image X6.png \
-model_file models/nin_imagenet_conv.caffemodel \
-proto_file models/train_val.prototxt \
-num_iterations 200 \
-content_layers relu0,relu1,relu2,relu3,relu5,relu6 \
-style_layers relu0,relu1,relu2,relu3,relu5,relu6 \
-optimizer adam \
-print_iter 1 \
-save_iter 100 \
-tv_weight 0 \
-backend cudnn \
-init image \
-init_image X5.png \
-learning_rate 1 \
-image_size 2700 \
-gpu 1,2,0 \
-original_colors 0 \
-normalize_gradients \
-multigpu_strategy 5,10,8\



th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-style_weight $STYLE_WEIGHT \
-style_scale $STYLE_SCALE \
-content_image $CONTENT_IMAGE \
-content_weight $CONTENT_WEIGHT \
-output_image X7.png \
-model_file models/nin_imagenet_conv.caffemodel \
-proto_file models/train_val.prototxt \
-num_iterations 200 \
-content_layers relu0,relu1,relu2,relu3,relu5,relu6,relu7,relu8 \
-style_layers relu0,relu1,relu2,relu3,relu5,relu6,relu7,relu8 \
-optimizer adam \
-print_iter 1 \
-save_iter 0 \
-tv_weight 0 \
-backend cudnn \
-init image \
-init_image X6.png \
-learning_rate 1 \
-image_size 2900 \
-gpu 1,2,0 \
-original_colors 0 \
-normalize_gradients \
-multigpu_strategy 8,14,11\



th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-style_weight $STYLE_WEIGHT \
-style_scale $STYLE_SCALE \
-content_image $CONTENT_IMAGE \
-content_weight $CONTENT_WEIGHT \
-output_image X8.png \
-model_file models/nin_imagenet_conv.caffemodel \
-proto_file models/train_val.prototxt \
-num_iterations 200 \
-content_layers relu0,relu1 \
-style_layers relu0,relu1 \
-optimizer adam \
-print_iter 1 \
-save_iter 0 \
-tv_weight 0 \
-backend cudnn \
-init image \
-init_image X7.png \
-learning_rate 1 \
-image_size 4000 \
-gpu 1,2,0 \
-original_colors 0 \
-normalize_gradients \
-multigpu_strategy 2,4,3\


STYLE_SCALE=0.5

th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-content_image $CONTENT_IMAGE \
-output_image X9.png \
-model_file models/nin_imagenet_conv.caffemodel \
-proto_file models/train_val.prototxt \
-num_iterations 20 \
-content_layers relu0,relu1 \
-style_layers relu0,relu1 \
-optimizer adam \
-print_iter 1 \
-save_iter 0 \
-tv_weight 0 \
-style_scale $STYLE_SCALE \
-backend cudnn \
-content_weight $CONTENT_WEIGHT \
-style_weight $STYLE_WEIGHT \
-init image \
-init_image X8.png \
-learning_rate 1 \
-image_size 5600 \
-gpu 1,2,0 \
-original_colors 0 \
-multigpu_strategy 2,4,3\

# ENTERING PART 2 ##


#!/bin/bash
clear
FILE=X9.png
if [ -f $FILE ]; then
   echo "The file '$FILE' exists."
exit 0
else
   echo "The file '$FILE' in not found. Processing..."
fi





STYLE_WEIGHT=1000
STYLE_SCALE=1
CONTENT_WEIGHT=0



STYLE_SCALE=0.5

th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-content_image $CONTENT_IMAGE \
-output_image X9a.png \
-model_file models/nin_imagenet_conv.caffemodel \
-proto_file models/train_val.prototxt \
-num_iterations 20 \
-content_layers relu0,relu1 \
-style_layers relu0,relu1 \
-optimizer adam \
-print_iter 1 \
-save_iter 0 \
-tv_weight 0 \
-style_scale $STYLE_SCALE \
-backend cudnn \
-content_weight $CONTENT_WEIGHT \
-style_weight $STYLE_WEIGHT \
-init image \
-init_image X8.png \
-learning_rate 1 \
-image_size 5500 \
-gpu 1,2,0 \
-original_colors 0 \
-multigpu_strategy 2,4,3\

#!/bin/bash
clear
FILE=X9a.png
if [ -f $FILE ]; then
   echo "The file '$FILE' exists."
exit 0
else
   echo "The file '$FILE' in not found. Processing..."
fi


th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-content_image $CONTENT_IMAGE \
-output_image X9b.png \
-model_file models/nin_imagenet_conv.caffemodel \
-proto_file models/train_val.prototxt \
-num_iterations 20 \
-content_layers relu0,relu1 \
-style_layers relu0,relu1 \
-optimizer adam \
-print_iter 1 \
-save_iter 0 \
-tv_weight 0 \
-style_scale $STYLE_SCALE \
-backend cudnn \
-content_weight $CONTENT_WEIGHT \
-style_weight $STYLE_WEIGHT \
-init image \
-init_image X8.png \
-learning_rate 1 \
-image_size 5400 \
-gpu 1,2,0 \
-original_colors 0 \
-multigpu_strategy 2,4,3\


#!/bin/bash
clear
FILE=X9b.png
if [ -f $FILE ]; then
   echo "The file '$FILE' exists."
exit 0
else
   echo "The file '$FILE' in not found. Processing..."
fi


th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-content_image $CONTENT_IMAGE \
-output_image X9c.png \
-model_file models/nin_imagenet_conv.caffemodel \
-proto_file models/train_val.prototxt \
-num_iterations 20 \
-content_layers relu0,relu1 \
-style_layers relu0,relu1 \
-optimizer adam \
-print_iter 1 \
-save_iter 0 \
-tv_weight 0 \
-style_scale $STYLE_SCALE \
-backend cudnn \
-content_weight $CONTENT_WEIGHT \
-style_weight $STYLE_WEIGHT \
-init image \
-init_image X8.png \
-learning_rate 1 \
-image_size 5300 \
-gpu 1,2,0 \
-original_colors 0 \
-multigpu_strategy 2,4,3\

#!/bin/bash
clear
FILE=X9c.png
if [ -f $FILE ]; then
   echo "The file '$FILE' exists."
exit 0
else
   echo "The file '$FILE' in not found. Processing..."
fi


th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-content_image $CONTENT_IMAGE \
-output_image X9d.png \
-model_file models/nin_imagenet_conv.caffemodel \
-proto_file models/train_val.prototxt \
-num_iterations 20 \
-content_layers relu0,relu1 \
-style_layers relu0,relu1 \
-optimizer adam \
-print_iter 1 \
-save_iter 0 \
-tv_weight 0 \
-style_scale $STYLE_SCALE \
-backend cudnn \
-content_weight $CONTENT_WEIGHT \
-style_weight $STYLE_WEIGHT \
-init image \
-init_image X8.png \
-learning_rate 1 \
-image_size 5200 \
-gpu 1,2,0 \
-original_colors 0 \
-multigpu_strategy 2,4,3\

#!/bin/bash
clear
FILE=X9d.png
if [ -f $FILE ]; then
   echo "The file '$FILE' exists."
exit 0
else
   echo "The file '$FILE' in not found. Processing..."
fi


th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-content_image $CONTENT_IMAGE \
-output_image X9e.png \
-model_file models/nin_imagenet_conv.caffemodel \
-proto_file models/train_val.prototxt \
-num_iterations 20 \
-content_layers relu0,relu1 \
-style_layers relu0,relu1 \
-optimizer adam \
-print_iter 1 \
-save_iter 0 \
-tv_weight 0 \
-style_scale $STYLE_SCALE \
-backend cudnn \
-content_weight $CONTENT_WEIGHT \
-style_weight $STYLE_WEIGHT \
-init image \
-init_image X8.png \
-learning_rate 1 \
-image_size 5100 \
-gpu 1,2,0 \
-original_colors 0 \
-multigpu_strategy 2,4,3\

#!/bin/bash
clear
FILE=X9e.png
if [ -f $FILE ]; then
   echo "The file '$FILE' exists."
exit 0
else
   echo "The file '$FILE' in not found. Processing..."
fi


th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-content_image $CONTENT_IMAGE \
-output_image X9f.png \
-model_file models/nin_imagenet_conv.caffemodel \
-proto_file models/train_val.prototxt \
-num_iterations 20 \
-content_layers relu0,relu1 \
-style_layers relu0,relu1 \
-optimizer adam \
-print_iter 1 \
-save_iter 0 \
-tv_weight 0 \
-style_scale $STYLE_SCALE \
-backend cudnn \
-content_weight $CONTENT_WEIGHT \
-style_weight $STYLE_WEIGHT \
-init image \
-init_image X8.png \
-learning_rate 1 \
-image_size 5000 \
-gpu 1,2,0 \
-original_colors 0 \
-multigpu_strategy 2,4,3\

#!/bin/bash
clear
FILE=X9f.png
if [ -f $FILE ]; then
   echo "The file '$FILE' exists."
exit 0
else
   echo "The file '$FILE' in not found. Processing..."
fi


th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-content_image $CONTENT_IMAGE \
-output_image X9g.png \
-model_file models/nin_imagenet_conv.caffemodel \
-proto_file models/train_val.prototxt \
-num_iterations 20 \
-content_layers relu0,relu1 \
-style_layers relu0,relu1 \
-optimizer adam \
-print_iter 1 \
-save_iter 0 \
-tv_weight 0 \
-style_scale $STYLE_SCALE \
-backend cudnn \
-content_weight $CONTENT_WEIGHT \
-style_weight $STYLE_WEIGHT \
-init image \
-init_image X8.png \
-learning_rate 1 \
-image_size 4900 \
-gpu 1,2,0 \
-original_colors 0 \
-multigpu_strategy 2,4,3\

#!/bin/bash
clear
FILE=X9g.png
if [ -f $FILE ]; then
   echo "The file '$FILE' exists."
exit 0
else
   echo "The file '$FILE' in not found. Processing..."
fi

th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-content_image $CONTENT_IMAGE \
-output_image X9h.png \
-model_file models/nin_imagenet_conv.caffemodel \
-proto_file models/train_val.prototxt \
-num_iterations 20 \
-content_layers relu0,relu1 \
-style_layers relu0,relu1 \
-optimizer adam \
-print_iter 1 \
-save_iter 0 \
-tv_weight 0 \
-style_scale $STYLE_SCALE \
-backend cudnn \
-content_weight $CONTENT_WEIGHT \
-style_weight $STYLE_WEIGHT \
-init image \
-init_image X8.png \
-learning_rate 1 \
-image_size 4800 \
-gpu 1,2,0 \
-original_colors 0 \
-multigpu_strategy 2,4,3\

#!/bin/bash
clear
FILE=X9h.png
if [ -f $FILE ]; then
   echo "The file '$FILE' exists."
exit 0
else
   echo "The file '$FILE' in not found. Processing..."
fi

th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-content_image $CONTENT_IMAGE \
-output_image X9i.png \
-model_file models/nin_imagenet_conv.caffemodel \
-proto_file models/train_val.prototxt \
-num_iterations 20 \
-content_layers relu0,relu1 \
-style_layers relu0,relu1 \
-optimizer adam \
-print_iter 1 \
-save_iter 0 \
-tv_weight 0 \
-style_scale $STYLE_SCALE \
-backend cudnn \
-content_weight $CONTENT_WEIGHT \
-style_weight $STYLE_WEIGHT \
-init image \
-init_image X8.png \
-learning_rate 1 \
-image_size 4700 \
-gpu 1,2,0 \
-original_colors 0 \
-multigpu_strategy 2,4,3\

#!/bin/bash
clear
FILE=X9i.png
if [ -f $FILE ]; then
   echo "The file '$FILE' exists."
exit 0
else
   echo "The file '$FILE' in not found. Processing..."
fi

th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-content_image $CONTENT_IMAGE \
-output_image X9j.png \
-model_file models/nin_imagenet_conv.caffemodel \
-proto_file models/train_val.prototxt \
-num_iterations 20 \
-content_layers relu0,relu1 \
-style_layers relu0,relu1 \
-optimizer adam \
-print_iter 1 \
-save_iter 0 \
-tv_weight 0 \
-style_scale $STYLE_SCALE \
-backend cudnn \
-content_weight $CONTENT_WEIGHT \
-style_weight $STYLE_WEIGHT \
-init image \
-init_image X8.png \
-learning_rate 1 \
-image_size 4600 \
-gpu 1,2,0 \
-original_colors 0 \
-multigpu_strategy 2,4,3\

#!/bin/bash
clear
FILE=X9j.png
if [ -f $FILE ]; then
   echo "The file '$FILE' exists."
exit 0
else
   echo "The file '$FILE' in not found. Processing..."
fi

th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-content_image $CONTENT_IMAGE \
-output_image X9k.png \
-model_file models/nin_imagenet_conv.caffemodel \
-proto_file models/train_val.prototxt \
-num_iterations 20 \
-content_layers relu0,relu1 \
-style_layers relu0,relu1 \
-optimizer adam \
-print_iter 1 \
-save_iter 0 \
-tv_weight 0 \
-style_scale $STYLE_SCALE \
-backend cudnn \
-content_weight $CONTENT_WEIGHT \
-style_weight $STYLE_WEIGHT \
-init image \
-init_image X8.png \
-learning_rate 1 \
-image_size 4500 \
-gpu 1,2,0 \
-original_colors 0 \
-multigpu_strategy 2,4,3\


#!/bin/bash
clear
FILE=X9k.png
if [ -f $FILE ]; then
   echo "The file '$FILE' exists."
exit 0
else
   echo "The file '$FILE' in not found. Processing..."
fi

th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-content_image $CONTENT_IMAGE \
-output_image X9l.png \
-model_file models/nin_imagenet_conv.caffemodel \
-proto_file models/train_val.prototxt \
-num_iterations 20 \
-content_layers relu0,relu1 \
-style_layers relu0,relu1 \
-optimizer adam \
-print_iter 1 \
-save_iter 0 \
-tv_weight 0 \
-style_scale $STYLE_SCALE \
-backend cudnn \
-content_weight $CONTENT_WEIGHT \
-style_weight $STYLE_WEIGHT \
-init image \
-init_image X8.png \
-learning_rate 1 \
-image_size 4400 \
-gpu 1,2,0 \
-original_colors 0 \
-multigpu_strategy 2,4,3\

#!/bin/bash
clear
FILE=X9l.png
if [ -f $FILE ]; then
   echo "The file '$FILE' exists."
exit 0
else
   echo "The file '$FILE' in not found. Processing..."
fi

th neural_style_dir_rng_fix.lua \
-style_image $STYLE_IMAGE \
-content_image $CONTENT_IMAGE \
-output_image X9m.png \
-model_file models/nin_imagenet_conv.caffemodel \
-proto_file models/train_val.prototxt \
-num_iterations 20 \
-content_layers relu0,relu1 \
-style_layers relu0,relu1 \
-optimizer adam \
-print_iter 1 \
-save_iter 0 \
-tv_weight 0 \
-style_scale $STYLE_SCALE \
-backend cudnn \
-content_weight $CONTENT_WEIGHT \
-style_weight $STYLE_WEIGHT \
-init image \
-init_image X8.png \
-learning_rate 1 \
-image_size 4300 \
-gpu 1,2,0 \
-original_colors 0 \
-multigpu_strategy 2,4,3\

#!/bin/bash
clear
FILE=X9m.png
if [ -f $FILE ]; then
   echo "The file '$FILE' exists."
exit 0
else
   echo "The file '$FILE' in not found. Processing..."
fi