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larsklein
May 6th, 2017
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  1. ____________________________________________________________________________________________________
  2. Layer (type) Output Shape Param # Connected to
  3. ====================================================================================================
  4. input_1 (InputLayer) (None, 384, 512, 3) 0
  5. ____________________________________________________________________________________________________
  6. conv1_1 (Convolution2D) (None, 384, 512, 64) 1792 input_1[0][0]
  7. ____________________________________________________________________________________________________
  8. conv1_2 (Convolution2D) (None, 384, 512, 64) 36928 conv1_1[0][0]
  9. ____________________________________________________________________________________________________
  10. pool1 (MaxPooling2D) (None, 192, 256, 64) 0 conv1_2[0][0]
  11. ____________________________________________________________________________________________________
  12. conv2_1 (Convolution2D) (None, 192, 256, 128) 73856 pool1[0][0]
  13. ____________________________________________________________________________________________________
  14. conv2_2 (Convolution2D) (None, 192, 256, 128) 147584 conv2_1[0][0]
  15. ____________________________________________________________________________________________________
  16. pool2 (MaxPooling2D) (None, 96, 128, 128) 0 conv2_2[0][0]
  17. ____________________________________________________________________________________________________
  18. conv3_1 (Convolution2D) (None, 96, 128, 256) 295168 pool2[0][0]
  19. ____________________________________________________________________________________________________
  20. conv3_2 (Convolution2D) (None, 96, 128, 256) 590080 conv3_1[0][0]
  21. ____________________________________________________________________________________________________
  22. conv3_3 (Convolution2D) (None, 96, 128, 256) 590080 conv3_2[0][0]
  23. ____________________________________________________________________________________________________
  24. pool3 (MaxPooling2D) (None, 48, 64, 256) 0 conv3_3[0][0]
  25. ____________________________________________________________________________________________________
  26. conv4_1 (Convolution2D) (None, 48, 64, 512) 1180160 pool3[0][0]
  27. ____________________________________________________________________________________________________
  28. conv4_2 (Convolution2D) (None, 48, 64, 512) 2359808 conv4_1[0][0]
  29. ____________________________________________________________________________________________________
  30. conv4_3 (Convolution2D) (None, 48, 64, 512) 2359808 conv4_2[0][0]
  31. ____________________________________________________________________________________________________
  32. pool4 (MaxPooling2D) (None, 24, 32, 512) 0 conv4_3[0][0]
  33. ____________________________________________________________________________________________________
  34. conv5_1 (Convolution2D) (None, 24, 32, 512) 2359808 pool4[0][0]
  35. ____________________________________________________________________________________________________
  36. conv5_2 (Convolution2D) (None, 24, 32, 512) 2359808 conv5_1[0][0]
  37. ____________________________________________________________________________________________________
  38. conv5_3 (Convolution2D) (None, 24, 32, 512) 2359808 conv5_2[0][0]
  39. ____________________________________________________________________________________________________
  40. pool5 (MaxPooling2D) (None, 24, 32, 512) 0 conv5_3[0][0]
  41. ____________________________________________________________________________________________________
  42. fc6 (AtrousConvolution2D) (None, 24, 32, 1024) 4719616 pool5[0][0]
  43. ____________________________________________________________________________________________________
  44. fc7 (Convolution2D) (None, 24, 32, 1024) 1049600 fc6[0][0]
  45. ____________________________________________________________________________________________________
  46. conv6_1 (Convolution2D) (None, 24, 32, 256) 262400 fc7[0][0]
  47. ____________________________________________________________________________________________________
  48. conv6_2 (Convolution2D) (None, 12, 16, 512) 1180160 conv6_1[0][0]
  49. ____________________________________________________________________________________________________
  50. conv7_1 (Convolution2D) (None, 12, 16, 128) 65664 conv6_2[0][0]
  51. ____________________________________________________________________________________________________
  52. zeropadding2d_1 (ZeroPadding2D) (None, 14, 18, 128) 0 conv7_1[0][0]
  53. ____________________________________________________________________________________________________
  54. conv7_2 (Convolution2D) (None, 6, 8, 256) 295168 zeropadding2d_1[0][0]
  55. ____________________________________________________________________________________________________
  56. conv8_1 (Convolution2D) (None, 6, 8, 128) 32896 conv7_2[0][0]
  57. ____________________________________________________________________________________________________
  58. conv4_3_norm (Normalize) (None, 48, 64, 512) 512 conv4_3[0][0]
  59. ____________________________________________________________________________________________________
  60. conv8_2 (Convolution2D) (None, 3, 4, 256) 295168 conv8_1[0][0]
  61. ____________________________________________________________________________________________________
  62. pool6 (GlobalAveragePooling2D) (None, 256) 0 conv8_2[0][0]
  63. ____________________________________________________________________________________________________
  64. conv4_3_norm_mbox_conf_4 (Convol (None, 48, 64, 12) 55308 conv4_3_norm[0][0]
  65. ____________________________________________________________________________________________________
  66. fc7_mbox_conf_4 (Convolution2D) (None, 24, 32, 24) 221208 fc7[0][0]
  67. ____________________________________________________________________________________________________
  68. conv6_2_mbox_conf_4 (Convolution (None, 12, 16, 24) 110616 conv6_2[0][0]
  69. ____________________________________________________________________________________________________
  70. conv7_2_mbox_conf_4 (Convolution (None, 6, 8, 24) 55320 conv7_2[0][0]
  71. ____________________________________________________________________________________________________
  72. conv8_2_mbox_conf_4 (Convolution (None, 3, 4, 24) 55320 conv8_2[0][0]
  73. ____________________________________________________________________________________________________
  74. conv4_3_norm_mbox_loc (Convoluti (None, 48, 64, 12) 55308 conv4_3_norm[0][0]
  75. ____________________________________________________________________________________________________
  76. fc7_mbox_loc (Convolution2D) (None, 24, 32, 24) 221208 fc7[0][0]
  77. ____________________________________________________________________________________________________
  78. conv6_2_mbox_loc (Convolution2D) (None, 12, 16, 24) 110616 conv6_2[0][0]
  79. ____________________________________________________________________________________________________
  80. conv7_2_mbox_loc (Convolution2D) (None, 6, 8, 24) 55320 conv7_2[0][0]
  81. ____________________________________________________________________________________________________
  82. conv8_2_mbox_loc (Convolution2D) (None, 3, 4, 24) 55320 conv8_2[0][0]
  83. ____________________________________________________________________________________________________
  84. conv4_3_norm_mbox_conf_flat (Fla (None, 36864) 0 conv4_3_norm_mbox_conf_4[0][0]
  85. ____________________________________________________________________________________________________
  86. fc7_mbox_conf_flat (Flatten) (None, 18432) 0 fc7_mbox_conf_4[0][0]
  87. ____________________________________________________________________________________________________
  88. conv6_2_mbox_conf_flat (Flatten) (None, 4608) 0 conv6_2_mbox_conf_4[0][0]
  89. ____________________________________________________________________________________________________
  90. conv7_2_mbox_conf_flat (Flatten) (None, 1152) 0 conv7_2_mbox_conf_4[0][0]
  91. ____________________________________________________________________________________________________
  92. conv8_2_mbox_conf_flat (Flatten) (None, 288) 0 conv8_2_mbox_conf_4[0][0]
  93. ____________________________________________________________________________________________________
  94. pool6_mbox_conf_flat_4 (Dense) (None, 24) 6168 pool6[0][0]
  95. ____________________________________________________________________________________________________
  96. conv4_3_norm_mbox_loc_flat (Flat (None, 36864) 0 conv4_3_norm_mbox_loc[0][0]
  97. ____________________________________________________________________________________________________
  98. fc7_mbox_loc_flat (Flatten) (None, 18432) 0 fc7_mbox_loc[0][0]
  99. ____________________________________________________________________________________________________
  100. conv6_2_mbox_loc_flat (Flatten) (None, 4608) 0 conv6_2_mbox_loc[0][0]
  101. ____________________________________________________________________________________________________
  102. conv7_2_mbox_loc_flat (Flatten) (None, 1152) 0 conv7_2_mbox_loc[0][0]
  103. ____________________________________________________________________________________________________
  104. conv8_2_mbox_loc_flat (Flatten) (None, 288) 0 conv8_2_mbox_loc[0][0]
  105. ____________________________________________________________________________________________________
  106. pool6_mbox_loc_flat (Dense) (None, 24) 6168 pool6[0][0]
  107. ____________________________________________________________________________________________________
  108. mbox_conf (Merge) (None, 61368) 0 conv4_3_norm_mbox_conf_flat[0][0]
  109. fc7_mbox_conf_flat[0][0]
  110. conv6_2_mbox_conf_flat[0][0]
  111. conv7_2_mbox_conf_flat[0][0]
  112. conv8_2_mbox_conf_flat[0][0]
  113. pool6_mbox_conf_flat_4[0][0]
  114. ____________________________________________________________________________________________________
  115. pool6_reshaped (Reshape) (None, 1, 1, 256) 0 pool6[0][0]
  116. ____________________________________________________________________________________________________
  117. mbox_loc (Merge) (None, 61368) 0 conv4_3_norm_mbox_loc_flat[0][0]
  118. fc7_mbox_loc_flat[0][0]
  119. conv6_2_mbox_loc_flat[0][0]
  120. conv7_2_mbox_loc_flat[0][0]
  121. conv8_2_mbox_loc_flat[0][0]
  122. pool6_mbox_loc_flat[0][0]
  123. ____________________________________________________________________________________________________
  124. mbox_conf_logits (Reshape) (None, 15342, 4) 0 mbox_conf[0][0]
  125. ____________________________________________________________________________________________________
  126. conv4_3_norm_mbox_priorbox (Prio (None, 9216, 8) 0 conv4_3_norm[0][0]
  127. ____________________________________________________________________________________________________
  128. fc7_mbox_priorbox (PriorBox) (None, 4608, 8) 0 fc7[0][0]
  129. ____________________________________________________________________________________________________
  130. conv6_2_mbox_priorbox (PriorBox) (None, 1152, 8) 0 conv6_2[0][0]
  131. ____________________________________________________________________________________________________
  132. conv7_2_mbox_priorbox (PriorBox) (None, 288, 8) 0 conv7_2[0][0]
  133. ____________________________________________________________________________________________________
  134. conv8_2_mbox_priorbox (PriorBox) (None, 72, 8) 0 conv8_2[0][0]
  135. ____________________________________________________________________________________________________
  136. pool6_mbox_priorbox (PriorBox) (None, 6, 8) 0 pool6_reshaped[0][0]
  137. ____________________________________________________________________________________________________
  138. mbox_loc_final (Reshape) (None, 15342, 4) 0 mbox_loc[0][0]
  139. ____________________________________________________________________________________________________
  140. mbox_conf_final (Activation) (None, 15342, 4) 0 mbox_conf_logits[0][0]
  141. ____________________________________________________________________________________________________
  142. mbox_priorbox (Merge) (None, 15342, 8) 0 conv4_3_norm_mbox_priorbox[0][0]
  143. fc7_mbox_priorbox[0][0]
  144. conv6_2_mbox_priorbox[0][0]
  145. conv7_2_mbox_priorbox[0][0]
  146. conv8_2_mbox_priorbox[0][0]
  147. pool6_mbox_priorbox[0][0]
  148. ____________________________________________________________________________________________________
  149. predictions (Merge) (None, 15342, 16) 0 mbox_loc_final[0][0]
  150. mbox_conf_final[0][0]
  151. mbox_priorbox[0][0]
  152. ====================================================================================================
  153. Total params: 23,623,752
  154. Trainable params: 21,888,264
  155. Non-trainable params: 1,735,488
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