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  1. STYLE_IMAGE=OVENSTYLES/013.jpg
  2. CONTENT_IMAGE=OVEN/tower.jpg
  3.  
  4.  
  5.  
  6. STYLE_WEIGHT=1000
  7. STYLE_SCALE=1
  8. CONTENT_WEIGHT=5
  9.  
  10.  
  11. th neural_style_dir_rng_fix.lua \
  12. -style_image $STYLE_IMAGE \
  13. -style_weight $STYLE_WEIGHT \
  14. -style_scale $STYLE_SCALE \
  15. -content_image $CONTENT_IMAGE \
  16. -print_iter 1 \
  17. -save_iter 100 \
  18. -image_size 512 \
  19. -num_iterations 1000 \
  20. -model_file models/pascalcontext-fcn32s-heavy.caffemodel \
  21. -proto_file models/train-pascalcontext-fcn32s-heavy.prototxt \
  22. -content_layers relu1_1,relu2_1,relu3_1,relu4_1,relu5_1 \
  23. -style_layers relu1_1,relu2_1,relu3_1,relu4_1,relu5_1 \
  24. -optimizer lbfgs \
  25. -output_image out1.png \
  26. -tv_weight 0.00001 \
  27. -gpu 1,2,0 \
  28. -multigpu_strategy 1,7,6 \
  29. -original_colors 0 \
  30. -backend cudnn \
  31. -init random \
  32.  
  33.  
  34.  
  35. STYLE_WEIGHT=100
  36. STYLE_SCALE=1
  37. CONTENT_WEIGHT=375
  38.  
  39.  
  40. th neural_style_dir_rng_fix.lua \
  41. -style_image $STYLE_IMAGE \
  42. -style_weight $STYLE_WEIGHT \
  43. -style_scale $STYLE_SCALE \
  44. -content_image $CONTENT_IMAGE \
  45. -init image -init_image out1.png \
  46. -print_iter 1 \
  47. -image_size 800 \
  48. -num_iterations 500 \
  49. -model_file models/pascalcontext-fcn32s-heavy.caffemodel \
  50. -proto_file models/train-pascalcontext-fcn32s-heavy.prototxt \
  51. -content_layers relu1_1,relu2_1,relu3_1,relu4_1,relu5_1 \
  52. -style_layers relu1_1,relu2_1,relu3_1,relu4_1,relu5_1 \
  53. -optimizer lbfgs \
  54. -output_image out2.png \
  55. -tv_weight 0.00001 \
  56. -gpu 1,2,0 \
  57. -multigpu_strategy 1,7,6 \
  58. -original_colors 0 \
  59. -normalize_gradients \
  60. -backend cudnn
  61.  
  62.  
  63.  
  64. STYLE_WEIGHT=1000
  65. STYLE_SCALE=1
  66. CONTENT_WEIGHT=0
  67.  
  68.  
  69.  
  70. th neural_style_dir_rng_fix.lua \
  71. -style_image $STYLE_IMAGE \
  72. -style_weight $STYLE_WEIGHT \
  73. -style_scale $STYLE_SCALE \
  74. -content_image $CONTENT_IMAGE \
  75. -content_weight $CONTENT_WEIGHT \
  76. -output_image out2x.png \
  77. -num_iterations 200 \
  78. -model_file models/pascalcontext-fcn32s-heavy.caffemodel \
  79. -proto_file models/train-pascalcontext-fcn32s-heavy.prototxt \
  80. -optimizer adam \
  81. -print_iter 1 \
  82. -save_iter 100 \
  83. -tv_weight 0.00001 \
  84. -backend cudnn \
  85. -init image \
  86. -init_image out2.png \
  87. -learning_rate 1 \
  88. -image_size 1048 \
  89. -gpu 1,2,0 \
  90. -original_colors 0 \
  91. -normalize_gradients \
  92. -multigpu_strategy 6,12,8\
  93.  
  94.  
  95.  
  96. th neural_style_dir_rng_fix.lua \
  97. -style_image $STYLE_IMAGE \
  98. -style_weight $STYLE_WEIGHT \
  99. -style_scale $STYLE_SCALE \
  100. -content_image $CONTENT_IMAGE \
  101. -content_weight $CONTENT_WEIGHT \
  102. -output_image out3.png \
  103. -num_iterations 200 \
  104. -model_file models/channel_pruning.caffemodel \
  105. -proto_file models/channel_pruning.prototxt \
  106. -optimizer adam \
  107. -print_iter 1 \
  108. -save_iter 100 \
  109. -tv_weight 0.00001 \
  110. -backend cudnn \
  111. -init image \
  112. -init_image out2x.png \
  113. -learning_rate 1 \
  114. -image_size 2050 \
  115. -gpu 1,2,0 \
  116. -original_colors 0 \
  117. -normalize_gradients \
  118. -multigpu_strategy 6,12,8\
  119.  
  120.  
  121.  
  122. STYLE_WEIGHT=1000
  123. STYLE_SCALE=1
  124. CONTENT_WEIGHT=0
  125.  
  126.  
  127.  
  128. th neural_style_dir_rng_fix.lua \
  129. -style_image $STYLE_IMAGE \
  130. -style_weight $STYLE_WEIGHT \
  131. -style_scale $STYLE_SCALE \
  132. -content_image $CONTENT_IMAGE \
  133. -content_weight $CONTENT_WEIGHT \
  134. -output_image out4.png \
  135. -model_file models/nin_imagenet_conv.caffemodel \
  136. -proto_file models/train_val.prototxt \
  137. -num_iterations 200 \
  138. -content_layers relu0,relu1,relu2,relu3,relu5,relu6,relu7,relu8 \
  139. -style_layers relu0,relu1,relu2,relu3,relu5,relu6,relu7,relu8 \
  140. -optimizer adam \
  141. -print_iter 1 \
  142. -save_iter 100 \
  143. -tv_weight 0.00001 \
  144. -backend cudnn \
  145. -init image \
  146. -init_image out3.png \
  147. -learning_rate 1 \
  148. -image_size 2550 \
  149. -gpu 1,2,0 \
  150. -original_colors 0 \
  151. -normalize_gradients \
  152. -multigpu_strategy 8,14,11\
  153.  
  154.  
  155.  
  156. th neural_style_dir_rng_fix.lua \
  157. -style_image $STYLE_IMAGE \
  158. -style_weight $STYLE_WEIGHT \
  159. -style_scale $STYLE_SCALE \
  160. -content_image $CONTENT_IMAGE \
  161. -content_weight $CONTENT_WEIGHT \
  162. -output_image out5.png \
  163. -model_file models/nin_imagenet_conv.caffemodel \
  164. -proto_file models/train_val.prototxt \
  165. -num_iterations 200 \
  166. -content_layers relu0,relu1,relu2,relu3,relu5,relu6 \
  167. -style_layers relu0,relu1,relu2,relu3,relu5,relu6 \
  168. -optimizer adam \
  169. -print_iter 1 \
  170. -save_iter 100 \
  171. -tv_weight 0.00001 \
  172. -backend cudnn \
  173. -init image -init_image out4.png \
  174. -learning_rate 1 \
  175. -image_size 2700 \
  176. -gpu 1,2,0 \
  177. -original_colors 0 \
  178. -normalize_gradients \
  179. -multigpu_strategy 5,10,8\
  180.  
  181.  
  182.  
  183. th neural_style_dir_rng_fix.lua \
  184. -style_image $STYLE_IMAGE \
  185. -style_weight $STYLE_WEIGHT \
  186. -style_scale $STYLE_SCALE \
  187. -content_image $CONTENT_IMAGE \
  188. -content_weight $CONTENT_WEIGHT \
  189. -output_image out6.png \
  190. -model_file models/nin_imagenet_conv.caffemodel \
  191. -proto_file models/train_val.prototxt \
  192. -num_iterations 200 \
  193. -content_layers relu0,relu1,relu2,relu3,relu5,relu6,relu7,relu8 \
  194. -style_layers relu0,relu1,relu2,relu3,relu5,relu6,relu7,relu8 \
  195. -optimizer adam \
  196. -print_iter 1 \
  197. -save_iter 0 \
  198. -tv_weight 0 \
  199. -backend cudnn \
  200. -init image \
  201. -init_image out5.png \
  202. -learning_rate 1 \
  203. -image_size 2900 \
  204. -gpu 1,2,0 \
  205. -original_colors 0 \
  206. -normalize_gradients \
  207. -multigpu_strategy 8,14,11\
  208.  
  209.  
  210.  
  211. th neural_style_dir_rng_fix.lua \
  212. -style_image $STYLE_IMAGE \
  213. -style_weight $STYLE_WEIGHT \
  214. -style_scale $STYLE_SCALE \
  215. -content_image $CONTENT_IMAGE \
  216. -content_weight $CONTENT_WEIGHT \
  217. -output_image DONE/masterpiece1.png \
  218. -model_file models/nin_imagenet_conv.caffemodel \
  219. -proto_file models/train_val.prototxt \
  220. -num_iterations 200 \
  221. -content_layers relu0,relu1 \
  222. -style_layers relu0,relu1 \
  223. -optimizer adam \
  224. -print_iter 1 \
  225. -save_iter 0 \
  226. -tv_weight 0 \
  227. -backend cudnn \
  228. -init image -init_image out6.png \
  229. -learning_rate 1 \
  230. -image_size 4000 \
  231. -gpu 1,2,0 \
  232. -original_colors 0 \
  233. -normalize_gradients \
  234. -multigpu_strategy 2,4,3\
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