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Jun 19th, 2018
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  1. input: "data"
  2. input_shape {
  3. dim: 1
  4. dim: 3
  5. dim: 160
  6. dim: 320
  7. }
  8.  
  9. layer {
  10. name: "conv_d0a-b"
  11. type: "Convolution"
  12. bottom: "data"
  13. top: "d0b"
  14. param {
  15. lr_mult: 1.0
  16. decay_mult: 1.0
  17. }
  18. param {
  19. lr_mult: 2.0
  20. decay_mult: 0.0
  21. }
  22. convolution_param {
  23. num_output: 32
  24. pad: 1
  25. kernel_size: 3
  26. weight_filler {
  27. type: "xavier"
  28. }
  29. engine: CAFFE
  30. }
  31. }
  32. layer {
  33. name: "elu"
  34. type: "ELU"
  35. bottom: "d0b"
  36. top: "d0b2"
  37. }
  38. layer {
  39. name: "conv_d0b-c"
  40. type: "Convolution"
  41. bottom: "d0b2"
  42. top: "d0c"
  43. param {
  44. lr_mult: 1.0
  45. decay_mult: 1.0
  46. }
  47. param {
  48. lr_mult: 2.0
  49. decay_mult: 0.0
  50. }
  51. convolution_param {
  52. num_output: 32
  53. pad: 1
  54. kernel_size: 3
  55. weight_filler {
  56. type: "xavier"
  57. }
  58. engine: CAFFE
  59. }
  60. }
  61. layer {
  62. name: "elu2"
  63. type: "ELU"
  64. bottom: "d0c"
  65. top: "seg-prob-region"
  66. }
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