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produdez
/
kangaroo-detection
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#2 Reorganize DVC pipeline and parameters

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  1. schema: '2.0'
    2. 

  2. stages:
    3. 

  3.   environment-check:
    4. 

  4.     cmd: "python -m src.pipeline.environment_check\n"
    5. 

  5.     deps:
    6. 

  6.     - path: src/pipeline/environment_check.py
    7. 

  7.       md5: 5f2f2cdc83c8bb4023ab08b15907b0cd
    8. 

  8.       size: 636
    9. 

  9.     params:
    10. 

  10.       params.yaml:
    11. 

  11.         environment-check:
    12. 

  12.           environment-name: test-kangaroo
    13. 

  13.           output: out/environment-check.out.json
    14. 

  14.     outs:
    15. 

  15.     - path: out/environment-check.out.json
    16. 

  16.       md5: 367ad52e2a3039d04f2dc57bbd7b5e6e
    17. 

  17.       size: 374
    18. 

  18.   activate-environment:
    19. 

  19.     cmd:
    20. 

  20.     - conda activate kangaroo
    21. 

  21.     - echo %CONDA_DEFAULT_ENV% > out/activate-environment.out.log
    22. 

  22.     outs:
    23. 

  23.     - path: out/activate-environment.out.log
    24. 

  24.       md5: ee9e762dca463f22b5e8ec0f982f5b63
    25. 

  25.       size: 22
    26. 

  26.   activate:
    27. 

  27.     cmd: conda activate kangaroo > out/activate-environment.out.log
    28. 

  28.     outs:
    29. 

  29.     - path: out/activate-environment.out.log
    30. 

  30.       md5: d41d8cd98f00b204e9800998ecf8427e
    31. 

  31.       size: 0
    32. 

  32.   train-model:
    33. 

  33.     cmd: "python -u -m src.pipeline.train_model | tee out/model-train.output.log\n"
    34. 

  34.     deps:
    35. 

  35.     - path: data/sample
    36. 

  36.       md5: 168cfd022598b30c5f1981bec5ac18ec.dir
    37. 

  37.       size: 635162
    38. 

  38.       nfiles: 18
    39. 

  39.     - path: model/transfer/mask_rcnn_coco.h5
    40. 

  40.       md5: e98aaff6f99e307b5e2a8a3ff741a518
    41. 

  41.       size: 257557808
    42. 

  42.     - path: out/environment-check.out.json
    43. 

  43.       md5: 367ad52e2a3039d04f2dc57bbd7b5e6e
    44. 

  44.       size: 374
    45. 

  45.     - path: src/pipeline/train_model.py
    46. 

  46.       md5: 6e2dd81d844828d42e9c2e2a5de22e30
    47. 

  47.       size: 2192
    48. 

  48.     - path: src/submodules/akTwelve_MaskRCNN
    49. 

  49.       md5: cb9c0f33c3ac515d65f4b54d556435e2.dir
    50. 

  50.       size: 90854634
    51. 

  51.       nfiles: 87
    52. 

  52.     params:
    53. 

  53.       params.yaml:
    54. 

  54.         src.current-model: src/submodules/akTwelve_MaskRCNN
    55. 

  55.         train-pipeline:
    56. 

  56.           data:
    57. 

  57.             path: data/sample
    58. 

  58.             size: 10
    59. 

  59.             train_size: 5
    60. 

  60.           train_dir: model/training
    61. 

  61.           output:
    62. 

  62.             model: out/current-model.h5
    63. 

  63.             log: out/model-train.output.log
    64. 

  64.             metric:
    65. 

  65.               folder: out/train.metrics/
    66. 

  66.               general: general.json
    67. 

  67.               others:
    68. 

  68.               - epoch_mrcnn_bbox_loss
    69. 

  69.               - epoch_val_mrcnn_bbox_loss
    70. 

  70.           summary: out/model-train.summary.txt
    71. 

  71.       model.hyper.yaml:
    72. 

  72.         train:
    73. 

  73.           epochs: 10
    74. 

  74.           layers: heads
    75. 

  75.           configs:
    76. 

  76.             NAME: kangaroo_cfg
    77. 

  77.             NUM_CLASSES: 2
    78. 

  78.             STEPS_PER_EPOCH: 5
    79. 

  79.             BACKBONE: resnet101
    80. 

  80.             IMAGES_PER_GPU: 2
    81. 

  81.             GPU_COUNT: 1
    82. 

  82.           weights:
    83. 

  83.             init: model/transfer/mask_rcnn_coco.h5
    84. 

  84.             exclude:
    85. 

  85.             - mrcnn_class_logits
    86. 

  86.             - mrcnn_bbox_fc
    87. 

  87.             - mrcnn_bbox
    88. 

  88.             - mrcnn_mask
    89. 

  89.     outs:
    90. 

  90.     - path: out/current-model.h5
    91. 

  91.       md5: 830f8e397d40067fc4edf591d194c244
    92. 

  92.       size: 264294536
    93. 

  93.     - path: out/model-train.output.log
    94. 

  94.       md5: b70fa1c66a1384e8e95815c315b43d5f
    95. 

  95.       size: 20090
    96. 

  96.     - path: out/model-train.summary.txt
    97. 

  97.       md5: 28e1cb65aaa55d3cdb0e97a96ddd97cf
    98. 

  98.       size: 89607
    99. 

  99.     - path: out/train.metrics/general.json
    100. 

  100.       md5: 53c5e32e6bfedff9d54ba1a1d966d6f3
    101. 

  101.       size: 27
    102. 

  102.   evaluate:
    103. 

  103.     cmd: "python -u -m src.pipeline.evaluate | tee out/evaluate.output.log\n"
    104. 

  104.     deps:
    105. 

  105.     - path: data/sample
    106. 

  106.       md5: 168cfd022598b30c5f1981bec5ac18ec.dir
    107. 

  107.       size: 635162
    108. 

  108.       nfiles: 18
    109. 

  109.     - path: out/current-model.h5
    110. 

  110.       md5: 830f8e397d40067fc4edf591d194c244
    111. 

  111.       size: 264294536
    112. 

  112.     - path: out/environment-check.out.json
    113. 

  113.       md5: 367ad52e2a3039d04f2dc57bbd7b5e6e
    114. 

  114.       size: 374
    115. 

  115.     - path: src/pipeline/evaluate.py
    116. 

  116.       md5: b297f480db0def6101b5c97ab475edb6
    117. 

  117.       size: 1261
    118. 

  118.     - path: src/submodules/akTwelve_MaskRCNN
    119. 

  119.       md5: cb9c0f33c3ac515d65f4b54d556435e2.dir
    120. 

  120.       size: 90854634
    121. 

  121.       nfiles: 87
    122. 

  122.     params:
    123. 

  123.       params.yaml:
    124. 

  124.         evaluate:
    125. 

  125.           data:
    126. 

  126.             path: data/sample
    127. 

  127.             size: 10
    128. 

  128.             train_size: 5
    129. 

  129.           model-weight: out/current-model.h5
    130. 

  130.           evaluate_dir: model/evaluate
    131. 

  131.           output:
    132. 

  132.             metric: out/evaluate.json
    133. 

  133.             log: out/evaluate.output.log
    134. 

  134.         src.current-model: src/submodules/akTwelve_MaskRCNN
    135. 

  135.       model.hyper.yaml:
    136. 

  136.         inference:
    137. 

  137.           configs:
    138. 

  138.             NAME: kangaroo_cfg
    139. 

  139.             NUM_CLASSES: 2
    140. 

  140.             STEPS_PER_EPOCH: 5
    141. 

  141.             BACKBONE: resnet101
    142. 

  142.             IMAGES_PER_GPU: 1
    143. 

  143.             GPU_COUNT: 1
    144. 

  144.             USE_MINI_MASK: false
    145. 

  145.     outs:
    146. 

  146.     - path: out/evaluate.json
    147. 

  147.       md5: eb364234911f86980602490770b3f307
    148. 

  148.       size: 176
    149. 

  149.   gen-dag:
    150. 

  150.     cmd:
    151. 

  151.     - dvc dag --full --md >> out/dependency_diagram.md
    152. 

  152.     - dvc dag -o --md >> out/dependency_diagram.md
    153. 

  153.     outs:
    154. 

  154.     - path: out/dependency_diagram.md
    155. 

  155.       md5: 787a06c15b8649bfd81d33179f067ef2
    156. 

  156.       size: 1069
    157.
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