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ocr_models
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official_models
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RT-DETR-L_wired_table_cell_det
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inference.yml

inference.yml 1.6 KB
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  1. mode: paddle
    2. 

  2. draw_threshold: 0.5
    3. 

  3. metric: COCO
    4. 

  4. use_dynamic_shape: false
    5. 

  5. Global:
    6. 

  6.   model_name: RT-DETR-L_wired_table_cell_det
    7. 

  7. arch: DETR
    8. 

  8. min_subgraph_size: 3
    9. 

  9. Preprocess:
    10. 

  10. - interp: 2
    11. 

  11.   keep_ratio: false
    12. 

  12.   target_size:
    13. 

  13.   - 640
    14. 

  14.   - 640
    15. 

  15.   type: Resize
    16. 

  16. - mean:
    17. 

  17.   - 0.0
    18. 

  18.   - 0.0
    19. 

  19.   - 0.0
    20. 

  20.   norm_type: none
    21. 

  21.   std:
    22. 

  22.   - 1.0
    23. 

  23.   - 1.0
    24. 

  24.   - 1.0
    25. 

  25.   type: NormalizeImage
    26. 

  26. - type: Permute
    27. 

  27. label_list:
    28. 

  28. - cell
    29. 

  29. Hpi:
    30. 

  30.   backend_configs:
    31. 

  31.     paddle_infer:
    32. 

  32.       trt_dynamic_shapes: &id001
    33. 

  33.         im_shape:
    34. 

  34.         - - 1
    35. 

  35.           - 2
    36. 

  36.         - - 1
    37. 

  37.           - 2
    38. 

  38.         - - 8
    39. 

  39.           - 2
    40. 

  40.         image:
    41. 

  41.         - - 1
    42. 

  42.           - 3
    43. 

  43.           - 640
    44. 

  44.           - 640
    45. 

  45.         - - 1
    46. 

  46.           - 3
    47. 

  47.           - 640
    48. 

  48.           - 640
    49. 

  49.         - - 8
    50. 

  50.           - 3
    51. 

  51.           - 640
    52. 

  52.           - 640
    53. 

  53.         scale_factor:
    54. 

  54.         - - 1
    55. 

  55.           - 2
    56. 

  56.         - - 1
    57. 

  57.           - 2
    58. 

  58.         - - 8
    59. 

  59.           - 2
    60. 

  60.       trt_dynamic_shape_input_data:
    61. 

  61.         im_shape:
    62. 

  62.         - - 640
    63. 

  63.           - 640
    64. 

  64.         - - 640
    65. 

  65.           - 640
    66. 

  66.         - - 640
    67. 

  67.           - 640
    68. 

  68.           - 640
    69. 

  69.           - 640
    70. 

  70.           - 640
    71. 

  71.           - 640
    72. 

  72.           - 640
    73. 

  73.           - 640
    74. 

  74.           - 640
    75. 

  75.           - 640
    76. 

  76.           - 640
    77. 

  77.           - 640
    78. 

  78.           - 640
    79. 

  79.           - 640
    80. 

  80.           - 640
    81. 

  81.           - 640
    82. 

  82.         scale_factor:
    83. 

  83.         - - 2
    84. 

  84.           - 2
    85. 

  85.         - - 1
    86. 

  86.           - 1
    87. 

  87.         - - 0.67
    88. 

  88.           - 0.67
    89. 

  89.           - 0.67
    90. 

  90.           - 0.67
    91. 

  91.           - 0.67
    92. 

  92.           - 0.67
    93. 

  93.           - 0.67
    94. 

  94.           - 0.67
    95. 

  95.           - 0.67
    96. 

  96.           - 0.67
    97. 

  97.           - 0.67
    98. 

  98.           - 0.67
    99. 

  99.           - 0.67
    100. 

  100.           - 0.67
    101. 

  101.           - 0.67
    102. 

  102.           - 0.67
    103. 

  103.     tensorrt:
    104. 

  104.       dynamic_shapes: *id001
    105.