yolov7-tiny-silu.yaml 3.0 KB

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  1. # parameters
  2. nc: 80 # number of classes
  3. depth_multiple: 1.0 # model depth multiple
  4. width_multiple: 1.0 # layer channel multiple
  5. # anchors
  6. anchors:
  7. - [10,13, 16,30, 33,23] # P3/8
  8. - [30,61, 62,45, 59,119] # P4/16
  9. - [116,90, 156,198, 373,326] # P5/32
  10. # YOLOv7-tiny backbone
  11. backbone:
  12. # [from, number, module, args]
  13. [[-1, 1, Conv, [32, 3, 2]], # 0-P1/2
  14. [-1, 1, Conv, [64, 3, 2]], # 1-P2/4
  15. [-1, 1, Conv, [32, 1, 1]],
  16. [-2, 1, Conv, [32, 1, 1]],
  17. [-1, 1, Conv, [32, 3, 1]],
  18. [-1, 1, Conv, [32, 3, 1]],
  19. [[-1, -2, -3, -4], 1, Concat, [1]],
  20. [-1, 1, Conv, [64, 1, 1]], # 7
  21. [-1, 1, MP, []], # 8-P3/8
  22. [-1, 1, Conv, [64, 1, 1]],
  23. [-2, 1, Conv, [64, 1, 1]],
  24. [-1, 1, Conv, [64, 3, 1]],
  25. [-1, 1, Conv, [64, 3, 1]],
  26. [[-1, -2, -3, -4], 1, Concat, [1]],
  27. [-1, 1, Conv, [128, 1, 1]], # 14
  28. [-1, 1, MP, []], # 15-P4/16
  29. [-1, 1, Conv, [128, 1, 1]],
  30. [-2, 1, Conv, [128, 1, 1]],
  31. [-1, 1, Conv, [128, 3, 1]],
  32. [-1, 1, Conv, [128, 3, 1]],
  33. [[-1, -2, -3, -4], 1, Concat, [1]],
  34. [-1, 1, Conv, [256, 1, 1]], # 21
  35. [-1, 1, MP, []], # 22-P5/32
  36. [-1, 1, Conv, [256, 1, 1]],
  37. [-2, 1, Conv, [256, 1, 1]],
  38. [-1, 1, Conv, [256, 3, 1]],
  39. [-1, 1, Conv, [256, 3, 1]],
  40. [[-1, -2, -3, -4], 1, Concat, [1]],
  41. [-1, 1, Conv, [512, 1, 1]], # 28
  42. ]
  43. # YOLOv7-tiny head
  44. head:
  45. [[-1, 1, Conv, [256, 1, 1]],
  46. [-2, 1, Conv, [256, 1, 1]],
  47. [-1, 1, SP, [5]],
  48. [-2, 1, SP, [9]],
  49. [-3, 1, SP, [13]],
  50. [[-1, -2, -3, -4], 1, Concat, [1]],
  51. [-1, 1, Conv, [256, 1, 1]],
  52. [[-1, -7], 1, Concat, [1]],
  53. [-1, 1, Conv, [256, 1, 1]], # 37
  54. [-1, 1, Conv, [128, 1, 1]],
  55. [-1, 1, nn.Upsample, [None, 2, 'nearest']],
  56. [21, 1, Conv, [128, 1, 1]], # route backbone P4
  57. [[-1, -2], 1, Concat, [1]],
  58. [-1, 1, Conv, [64, 1, 1]],
  59. [-2, 1, Conv, [64, 1, 1]],
  60. [-1, 1, Conv, [64, 3, 1]],
  61. [-1, 1, Conv, [64, 3, 1]],
  62. [[-1, -2, -3, -4], 1, Concat, [1]],
  63. [-1, 1, Conv, [128, 1, 1]], # 47
  64. [-1, 1, Conv, [64, 1, 1]],
  65. [-1, 1, nn.Upsample, [None, 2, 'nearest']],
  66. [14, 1, Conv, [64, 1, 1]], # route backbone P3
  67. [[-1, -2], 1, Concat, [1]],
  68. [-1, 1, Conv, [32, 1, 1]],
  69. [-2, 1, Conv, [32, 1, 1]],
  70. [-1, 1, Conv, [32, 3, 1]],
  71. [-1, 1, Conv, [32, 3, 1]],
  72. [[-1, -2, -3, -4], 1, Concat, [1]],
  73. [-1, 1, Conv, [64, 1, 1]], # 57
  74. [-1, 1, Conv, [128, 3, 2]],
  75. [[-1, 47], 1, Concat, [1]],
  76. [-1, 1, Conv, [64, 1, 1]],
  77. [-2, 1, Conv, [64, 1, 1]],
  78. [-1, 1, Conv, [64, 3, 1]],
  79. [-1, 1, Conv, [64, 3, 1]],
  80. [[-1, -2, -3, -4], 1, Concat, [1]],
  81. [-1, 1, Conv, [128, 1, 1]], # 65
  82. [-1, 1, Conv, [256, 3, 2]],
  83. [[-1, 37], 1, Concat, [1]],
  84. [-1, 1, Conv, [128, 1, 1]],
  85. [-2, 1, Conv, [128, 1, 1]],
  86. [-1, 1, Conv, [128, 3, 1]],
  87. [-1, 1, Conv, [128, 3, 1]],
  88. [[-1, -2, -3, -4], 1, Concat, [1]],
  89. [-1, 1, Conv, [256, 1, 1]], # 73
  90. [57, 1, Conv, [128, 3, 1]],
  91. [65, 1, Conv, [256, 3, 1]],
  92. [73, 1, Conv, [512, 3, 1]],
  93. [[74,75,76], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5)
  94. ]