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  1. (tensorflow-gpu) D:\five-video-classification-methods>python train.py
  2. Using TensorFlow backend.
  3. Loading CNN-LSTM model.
  4. _________________________________________________________________
  5. Layer (type) Output Shape Param #
  6. =================================================================
  7. time_distributed_1 (TimeDist (None, 40, 40, 40, 32) 4736
  8. _________________________________________________________________
  9. time_distributed_2 (TimeDist (None, 40, 38, 38, 32) 9248
  10. _________________________________________________________________
  11. time_distributed_3 (TimeDist (None, 40, 19, 19, 32) 0
  12. _________________________________________________________________
  13. time_distributed_4 (TimeDist (None, 40, 19, 19, 64) 18496
  14. _________________________________________________________________
  15. time_distributed_5 (TimeDist (None, 40, 19, 19, 64) 36928
  16. _________________________________________________________________
  17. time_distributed_6 (TimeDist (None, 40, 9, 9, 64) 0
  18. _________________________________________________________________
  19. time_distributed_7 (TimeDist (None, 40, 9, 9, 128) 73856
  20. _________________________________________________________________
  21. time_distributed_8 (TimeDist (None, 40, 9, 9, 128) 147584
  22. _________________________________________________________________
  23. time_distributed_9 (TimeDist (None, 40, 4, 4, 128) 0
  24. _________________________________________________________________
  25. time_distributed_10 (TimeDis (None, 40, 4, 4, 256) 295168
  26. _________________________________________________________________
  27. time_distributed_11 (TimeDis (None, 40, 4, 4, 256) 590080
  28. _________________________________________________________________
  29. time_distributed_12 (TimeDis (None, 40, 2, 2, 256) 0
  30. _________________________________________________________________
  31. time_distributed_13 (TimeDis (None, 40, 2, 2, 512) 1180160
  32. _________________________________________________________________
  33. time_distributed_14 (TimeDis (None, 40, 2, 2, 512) 2359808
  34. _________________________________________________________________
  35. time_distributed_15 (TimeDis (None, 40, 1, 1, 512) 0
  36. _________________________________________________________________
  37. time_distributed_16 (TimeDis (None, 40, 512) 0
  38. _________________________________________________________________
  39. dropout_1 (Dropout) (None, 40, 512) 0
  40. _________________________________________________________________
  41. lstm_1 (LSTM) (None, 256) 787456
  42. _________________________________________________________________
  43. dense_1 (Dense) (None, 5) 1285
  44. =================================================================
  45. Total params: 5,504,805
  46. Trainable params: 5,504,805
  47. Non-trainable params: 0
  48. _________________________________________________________________
  49. None
  50. 2017-11-23 12:16:47.731594: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\platform\cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
  51. 2017-11-23 12:16:48.031094: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1030] Found device 0 with properties:
  52. name: GeForce GTX 1080 major: 6 minor: 1 memoryClockRate(GHz): 1.7335
  53. pciBusID: 0000:01:00.0
  54. totalMemory: 8.00GiB freeMemory: 6.61GiB
  55. 2017-11-23 12:16:48.033643: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1080, pci bus id: 0000:01:00.0, compute capability: 6.1)
  56. Creating train generator with 451 samples.
  57. Epoch 1/100
  58. 12/13 [==========================>...] - ETA: 2s - loss: 1.6088 - acc: 0.2214Creating test generator with 174 samples.
  59. Epoch 00001: val_loss improved from inf to 1.60817, saving model to data\checkpoints\lrcn-images.001-1.608.hdf5
  60. 13/13 [==============================] - 109s 8s/step - loss: 1.6089 - acc: 0.2163 - val_loss: 1.6082 - val_acc: 0.2086
  61. Epoch 2/100
  62. 12/13 [==========================>...] - ETA: 0s - loss: 1.6084 - acc: 0.1797Epoch 00002: val_loss improved from 1.60817 to 1.60652, saving model to data\checkpoints\lrcn-images.002-1.607.hdf5
  63. 13/13 [==============================] - 83s 6s/step - loss: 1.6083 - acc: 0.1827 - val_loss: 1.6065 - val_acc: 0.2281
  64. Epoch 3/100
  65. 12/13 [==========================>...] - ETA: 0s - loss: 1.6067 - acc: 0.2083Epoch 00003: val_loss improved from 1.60652 to 1.60585, saving model to data\checkpoints\lrcn-images.003-1.606.hdf5
  66. 13/13 [==============================] - 84s 6s/step - loss: 1.6066 - acc: 0.2115 - val_loss: 1.6059 - val_acc: 0.2094
  67. Epoch 4/100
  68. 12/13 [==========================>...] - ETA: 0s - loss: 1.6038 - acc: 0.2682Epoch 00004: val_loss improved from 1.60585 to 1.60396, saving model to data\checkpoints\lrcn-images.004-1.604.hdf5
  69. 13/13 [==============================] - 83s 6s/step - loss: 1.6040 - acc: 0.2548 - val_loss: 1.6040 - val_acc: 0.2039
  70. Epoch 5/100
  71. 12/13 [==========================>...] - ETA: 0s - loss: 1.6022 - acc: 0.2318Epoch 00005: val_loss improved from 1.60396 to 1.59838, saving model to data\checkpoints\lrcn-images.005-1.598.hdf5
  72. 13/13 [==============================] - 83s 6s/step - loss: 1.6021 - acc: 0.2380 - val_loss: 1.5984 - val_acc: 0.2297
  73. Epoch 6/100
  74. 12/13 [==========================>...] - ETA: 0s - loss: 1.5954 - acc: 0.2526Epoch 00006: val_loss improved from 1.59838 to 1.59471, saving model to data\checkpoints\lrcn-images.006-1.595.hdf5
  75. 13/13 [==============================] - 82s 6s/step - loss: 1.5946 - acc: 0.2548 - val_loss: 1.5947 - val_acc: 0.2039
  76. Epoch 7/100
  77. 12/13 [==========================>...] - ETA: 0s - loss: 1.5932 - acc: 0.2344Epoch 00007: val_loss improved from 1.59471 to 1.58756, saving model to data\checkpoints\lrcn-images.007-1.588.hdf5
  78. 13/13 [==============================] - 82s 6s/step - loss: 1.5930 - acc: 0.2308 - val_loss: 1.5876 - val_acc: 0.2086
  79. Epoch 8/100
  80. 12/13 [==========================>...] - ETA: 0s - loss: 1.5907 - acc: 0.2240Epoch 00008: val_loss improved from 1.58756 to 1.58206, saving model to data\checkpoints\lrcn-images.008-1.582.hdf5
  81. 13/13 [==============================] - 87s 7s/step - loss: 1.5909 - acc: 0.2139 - val_loss: 1.5821 - val_acc: 0.1930
  82. Epoch 9/100
  83. 12/13 [==========================>...] - ETA: 0s - loss: 1.5752 - acc: 0.2135Epoch 00009: val_loss improved from 1.58206 to 1.55864, saving model to data\checkpoints\lrcn-images.009-1.559.hdf5
  84. 13/13 [==============================] - 86s 7s/step - loss: 1.5757 - acc: 0.2067 - val_loss: 1.5586 - val_acc: 0.2227
  85. Epoch 10/100
  86. 12/13 [==========================>...] - ETA: 0s - loss: 1.5654 - acc: 0.2188Epoch 00010: val_loss improved from 1.55864 to 1.54758, saving model to data\checkpoints\lrcn-images.010-1.548.hdf5
  87. 13/13 [==============================] - 88s 7s/step - loss: 1.5660 - acc: 0.2163 - val_loss: 1.5476 - val_acc: 0.3148
  88. Epoch 11/100
  89. 12/13 [==========================>...] - ETA: 0s - loss: 1.5554 - acc: 0.2839Epoch 00011: val_loss improved from 1.54758 to 1.52730, saving model to data\checkpoints\lrcn-images.011-1.527.hdf5
  90. 13/13 [==============================] - 87s 7s/step - loss: 1.5563 - acc: 0.2764 - val_loss: 1.5273 - val_acc: 0.3648
  91. Epoch 12/100
  92. 12/13 [==========================>...] - ETA: 0s - loss: 1.5239 - acc: 0.3255Epoch 00012: val_loss improved from 1.52730 to 1.49600, saving model to data\checkpoints\lrcn-images.012-1.496.hdf5
  93. 13/13 [==============================] - 88s 7s/step - loss: 1.5231 - acc: 0.3317 - val_loss: 1.4960 - val_acc: 0.3242
  94. Epoch 13/100
  95. 12/13 [==========================>...] - ETA: 0s - loss: 1.5294 - acc: 0.3542Epoch 00013: val_loss improved from 1.49600 to 1.46795, saving model to data\checkpoints\lrcn-images.013-1.468.hdf5
  96. 13/13 [==============================] - 87s 7s/step - loss: 1.5334 - acc: 0.3462 - val_loss: 1.4679 - val_acc: 0.4156
  97. Epoch 14/100
  98. 12/13 [==========================>...] - ETA: 0s - loss: 1.4848 - acc: 0.3958Epoch 00014: val_loss improved from 1.46795 to 1.41322, saving model to data\checkpoints\lrcn-images.014-1.413.hdf5
  99. 13/13 [==============================] - 87s 7s/step - loss: 1.4861 - acc: 0.3966 - val_loss: 1.4132 - val_acc: 0.5086
  100. Epoch 15/100
  101. 12/13 [==========================>...] - ETA: 0s - loss: 1.4548 - acc: 0.3906Epoch 00015: val_loss improved from 1.41322 to 1.39012, saving model to data\checkpoints\lrcn-images.015-1.390.hdf5
  102. 13/13 [==============================] - 87s 7s/step - loss: 1.4667 - acc: 0.3798 - val_loss: 1.3901 - val_acc: 0.3531
  103. Epoch 16/100
  104. 12/13 [==========================>...] - ETA: 0s - loss: 1.4573 - acc: 0.3568Epoch 00016: val_loss improved from 1.39012 to 1.38717, saving model to data\checkpoints\lrcn-images.016-1.387.hdf5
  105. 13/13 [==============================] - 87s 7s/step - loss: 1.4455 - acc: 0.3654 - val_loss: 1.3872 - val_acc: 0.4859
  106. Epoch 17/100
  107. 12/13 [==========================>...] - ETA: 0s - loss: 1.3969 - acc: 0.4479Epoch 00017: val_loss improved from 1.38717 to 1.32108, saving model to data\checkpoints\lrcn-images.017-1.321.hdf5
  108. 13/13 [==============================] - 88s 7s/step - loss: 1.4038 - acc: 0.4375 - val_loss: 1.3211 - val_acc: 0.4891
  109. Epoch 18/100
  110. 12/13 [==========================>...] - ETA: 0s - loss: 1.3644 - acc: 0.4505Epoch 00018: val_loss improved from 1.32108 to 1.27831, saving model to data\checkpoints\lrcn-images.018-1.278.hdf5
  111. 13/13 [==============================] - 88s 7s/step - loss: 1.3794 - acc: 0.4327 - val_loss: 1.2783 - val_acc: 0.4641
  112. Epoch 19/100
  113. 12/13 [==========================>...] - ETA: 0s - loss: 1.3311 - acc: 0.4635Epoch 00019: val_loss did not improve
  114. 13/13 [==============================] - 87s 7s/step - loss: 1.3246 - acc: 0.4736 - val_loss: 1.2783 - val_acc: 0.4227
  115. Epoch 20/100
  116. 12/13 [==========================>...] - ETA: 0s - loss: 1.3230 - acc: 0.4531Epoch 00020: val_loss improved from 1.27831 to 1.26345, saving model to data\checkpoints\lrcn-images.020-1.263.hdf5
  117. 13/13 [==============================] - 84s 6s/step - loss: 1.3325 - acc: 0.4495 - val_loss: 1.2635 - val_acc: 0.4828
  118. Epoch 21/100
  119. 12/13 [==========================>...] - ETA: 0s - loss: 1.2996 - acc: 0.4531Epoch 00021: val_loss did not improve
  120. 13/13 [==============================] - 82s 6s/step - loss: 1.2992 - acc: 0.4567 - val_loss: 1.2897 - val_acc: 0.4391
  121. Epoch 22/100
  122. 12/13 [==========================>...] - ETA: 0s - loss: 1.3518 - acc: 0.4453Epoch 00022: val_loss did not improve
  123. 13/13 [==============================] - 82s 6s/step - loss: 1.3510 - acc: 0.4447 - val_loss: 1.2964 - val_acc: 0.4758
  124. Epoch 23/100
  125. 12/13 [==========================>...] - ETA: 0s - loss: 1.3937 - acc: 0.4531Epoch 00023: val_loss did not improve
  126. 13/13 [==============================] - 81s 6s/step - loss: 1.3818 - acc: 0.4543 - val_loss: 1.2637 - val_acc: 0.4148
  127. Epoch 24/100
  128. 12/13 [==========================>...] - ETA: 0s - loss: 1.3123 - acc: 0.4688Epoch 00024: val_loss did not improve
  129. 13/13 [==============================] - 81s 6s/step - loss: 1.3062 - acc: 0.4639 - val_loss: 1.2687 - val_acc: 0.4492
  130. Epoch 25/100
  131. 12/13 [==========================>...] - ETA: 0s - loss: 1.2879 - acc: 0.4714Epoch 00025: val_loss improved from 1.26345 to 1.23144, saving model to data\checkpoints\lrcn-images.025-1.231.hdf5
  132. 13/13 [==============================] - 82s 6s/step - loss: 1.2880 - acc: 0.4736 - val_loss: 1.2314 - val_acc: 0.4406
  133. Epoch 26/100
  134. 12/13 [==========================>...] - ETA: 0s - loss: 1.3346 - acc: 0.4375Epoch 00026: val_loss improved from 1.23144 to 1.21102, saving model to data\checkpoints\lrcn-images.026-1.211.hdf5
  135. 13/13 [==============================] - 82s 6s/step - loss: 1.3245 - acc: 0.4447 - val_loss: 1.2110 - val_acc: 0.4531
  136. Epoch 27/100
  137. 12/13 [==========================>...] - ETA: 0s - loss: 1.2745 - acc: 0.4766Epoch 00027: val_loss did not improve
  138. 13/13 [==============================] - 82s 6s/step - loss: 1.2762 - acc: 0.4688 - val_loss: 1.2483 - val_acc: 0.4570
  139. Epoch 28/100
  140. 12/13 [==========================>...] - ETA: 0s - loss: 1.2654 - acc: 0.4661Epoch 00028: val_loss did not improve
  141. 13/13 [==============================] - 82s 6s/step - loss: 1.2687 - acc: 0.4663 - val_loss: 1.2114 - val_acc: 0.4305
  142. Epoch 29/100
  143. 12/13 [==========================>...] - ETA: 0s - loss: 1.1936 - acc: 0.5469Epoch 00029: val_loss improved from 1.21102 to 1.20817, saving model to data\checkpoints\lrcn-images.029-1.208.hdf5
  144. 13/13 [==============================] - 82s 6s/step - loss: 1.2012 - acc: 0.5409 - val_loss: 1.2082 - val_acc: 0.4555
  145. Epoch 30/100
  146. 12/13 [==========================>...] - ETA: 0s - loss: 1.2809 - acc: 0.5052Epoch 00030: val_loss improved from 1.20817 to 1.19304, saving model to data\checkpoints\lrcn-images.030-1.193.hdf5
  147. 13/13 [==============================] - 82s 6s/step - loss: 1.2865 - acc: 0.4976 - val_loss: 1.1930 - val_acc: 0.4680
  148. Epoch 31/100
  149. 12/13 [==========================>...] - ETA: 0s - loss: 1.2535 - acc: 0.5026Epoch 00031: val_loss did not improve
  150. 13/13 [==============================] - 81s 6s/step - loss: 1.2605 - acc: 0.5000 - val_loss: 1.2266 - val_acc: 0.4234
  151. Epoch 32/100
  152. 12/13 [==========================>...] - ETA: 0s - loss: 1.2352 - acc: 0.4766Epoch 00032: val_loss did not improve
  153. 13/13 [==============================] - 81s 6s/step - loss: 1.2409 - acc: 0.4784 - val_loss: 1.2140 - val_acc: 0.4672
  154. Epoch 33/100
  155. 12/13 [==========================>...] - ETA: 0s - loss: 1.1597 - acc: 0.5443Epoch 00033: val_loss improved from 1.19304 to 1.17888, saving model to data\checkpoints\lrcn-images.033-1.179.hdf5
  156. 13/13 [==============================] - 82s 6s/step - loss: 1.1555 - acc: 0.5433 - val_loss: 1.1789 - val_acc: 0.4531
  157. Epoch 34/100
  158. 12/13 [==========================>...] - ETA: 0s - loss: 1.2195 - acc: 0.5521Epoch 00034: val_loss did not improve
  159. 13/13 [==============================] - 82s 6s/step - loss: 1.2158 - acc: 0.5553 - val_loss: 1.2107 - val_acc: 0.4242
  160. Epoch 35/100
  161. 12/13 [==========================>...] - ETA: 0s - loss: 1.1773 - acc: 0.5599Epoch 00035: val_loss did not improve
  162. 13/13 [==============================] - 82s 6s/step - loss: 1.1732 - acc: 0.5577 - val_loss: 1.1815 - val_acc: 0.4898
  163. Epoch 36/100
  164. 12/13 [==========================>...] - ETA: 0s - loss: 1.1576 - acc: 0.5312Epoch 00036: val_loss did not improve
  165. 13/13 [==============================] - 81s 6s/step - loss: 1.1504 - acc: 0.5337 - val_loss: 1.2486 - val_acc: 0.4258
  166. Epoch 37/100
  167. 12/13 [==========================>...] - ETA: 0s - loss: 1.1042 - acc: 0.5495Epoch 00037: val_loss improved from 1.17888 to 1.17084, saving model to data\checkpoints\lrcn-images.037-1.171.hdf5
  168. 13/13 [==============================] - 82s 6s/step - loss: 1.1054 - acc: 0.5481 - val_loss: 1.1708 - val_acc: 0.4398
  169. Epoch 38/100
  170. 12/13 [==========================>...] - ETA: 0s - loss: 1.0993 - acc: 0.5677Epoch 00038: val_loss improved from 1.17084 to 1.16434, saving model to data\checkpoints\lrcn-images.038-1.164.hdf5
  171. 13/13 [==============================] - 81s 6s/step - loss: 1.0878 - acc: 0.5817 - val_loss: 1.1643 - val_acc: 0.4477
  172. Epoch 39/100
  173. 12/13 [==========================>...] - ETA: 0s - loss: 1.1005 - acc: 0.5573Epoch 00039: val_loss improved from 1.16434 to 1.16095, saving model to data\checkpoints\lrcn-images.039-1.161.hdf5
  174. 13/13 [==============================] - 81s 6s/step - loss: 1.0989 - acc: 0.5649 - val_loss: 1.1610 - val_acc: 0.4609
  175. Epoch 40/100
  176. 12/13 [==========================>...] - ETA: 0s - loss: 1.0702 - acc: 0.5651Epoch 00040: val_loss improved from 1.16095 to 1.14912, saving model to data\checkpoints\lrcn-images.040-1.149.hdf5
  177. 13/13 [==============================] - 81s 6s/step - loss: 1.0687 - acc: 0.5649 - val_loss: 1.1491 - val_acc: 0.4641
  178. Epoch 41/100
  179. 12/13 [==========================>...] - ETA: 0s - loss: 1.0665 - acc: 0.5755Epoch 00041: val_loss improved from 1.14912 to 1.09458, saving model to data\checkpoints\lrcn-images.041-1.095.hdf5
  180. 13/13 [==============================] - 81s 6s/step - loss: 1.0713 - acc: 0.5721 - val_loss: 1.0946 - val_acc: 0.5000
  181. Epoch 42/100
  182. 12/13 [==========================>...] - ETA: 0s - loss: 1.0964 - acc: 0.5755Epoch 00042: val_loss did not improve
  183. 13/13 [==============================] - 82s 6s/step - loss: 1.0980 - acc: 0.5769 - val_loss: 1.1338 - val_acc: 0.4617
  184. Epoch 43/100
  185. 12/13 [==========================>...] - ETA: 0s - loss: 1.1316 - acc: 0.5391Epoch 00043: val_loss did not improve
  186. 13/13 [==============================] - 81s 6s/step - loss: 1.1364 - acc: 0.5288 - val_loss: 1.1216 - val_acc: 0.4828
  187. Epoch 44/100
  188. 12/13 [==========================>...] - ETA: 0s - loss: 1.0181 - acc: 0.6198Epoch 00044: val_loss improved from 1.09458 to 1.08852, saving model to data\checkpoints\lrcn-images.044-1.089.hdf5
  189. 13/13 [==============================] - 82s 6s/step - loss: 1.0318 - acc: 0.6106 - val_loss: 1.0885 - val_acc: 0.5141
  190. Epoch 45/100
  191. 12/13 [==========================>...] - ETA: 0s - loss: 1.1046 - acc: 0.5495Epoch 00045: val_loss did not improve
  192. 13/13 [==============================] - 82s 6s/step - loss: 1.1108 - acc: 0.5433 - val_loss: 1.1062 - val_acc: 0.4719
  193. Epoch 46/100
  194. 12/13 [==========================>...] - ETA: 0s - loss: 0.9621 - acc: 0.6276Epoch 00046: val_loss improved from 1.08852 to 1.08387, saving model to data\checkpoints\lrcn-images.046-1.084.hdf5
  195. 13/13 [==============================] - 81s 6s/step - loss: 0.9671 - acc: 0.6274 - val_loss: 1.0839 - val_acc: 0.5203
  196. Epoch 47/100
  197. 12/13 [==========================>...] - ETA: 0s - loss: 1.0118 - acc: 0.6094Epoch 00047: val_loss did not improve
  198. 13/13 [==============================] - 82s 6s/step - loss: 1.0200 - acc: 0.6058 - val_loss: 1.1214 - val_acc: 0.4844
  199. Epoch 48/100
  200. 12/13 [==========================>...] - ETA: 0s - loss: 0.9552 - acc: 0.6224Epoch 00048: val_loss did not improve
  201. 13/13 [==============================] - 82s 6s/step - loss: 0.9530 - acc: 0.6274 - val_loss: 1.0907 - val_acc: 0.4617
  202. Epoch 49/100
  203. 12/13 [==========================>...] - ETA: 0s - loss: 1.0180 - acc: 0.5651Epoch 00049: val_loss did not improve
  204. 13/13 [==============================] - 82s 6s/step - loss: 1.0237 - acc: 0.5649 - val_loss: 1.0913 - val_acc: 0.4781
  205. Epoch 50/100
  206. 12/13 [==========================>...] - ETA: 0s - loss: 1.0122 - acc: 0.5938Epoch 00050: val_loss did not improve
  207. 13/13 [==============================] - 81s 6s/step - loss: 1.0130 - acc: 0.5865 - val_loss: 1.1775 - val_acc: 0.4609
  208. Epoch 51/100
  209. 12/13 [==========================>...] - ETA: 0s - loss: 0.9775 - acc: 0.6198Epoch 00051: val_loss did not improve
  210. 13/13 [==============================] - 81s 6s/step - loss: 0.9889 - acc: 0.6130 - val_loss: 1.0921 - val_acc: 0.5383
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