postprocess:
  data_layout: NCHW
  detection_thr: 0.3
preprocess:
  crop:
  - 640
  - 640
  data_layout: NCHW
  mean:
  - 0
  - 0
  - 0
  resize:
  - 640
  - 640
  scale:
  - 0.003921568627
  - 0.003921568627
  - 0.003921568627
  reverse_channels: false
session:
  input_mean: null
  input_scale: null
  artifacts_folder: 'artifacts'
  model_folder: model
  model_path: yolov5s6_ti_lite_640_weedDetect.onnx
  session_name: onnxrt
target_device: pc
task_type: detection


# calibration_dataset:
#   name: coco
#   num_classes: 2
#   num_frames: 50
#   path: ./dependencies/datasets/coco
#   shuffle: true
#   split: val2017
input_dataset:
  name: coco
  num_classes: 2
  # num_frames: 5000
  # path: ./dependencies/datasets/coco
  # shuffle: false
  # split: val2017
metric:
  label_offset_pred:
    0: 1
    1: 2
    2: 3
#     3: 4
#     4: 5
#     5: 6
#     6: 7
#     7: 8
#     8: 9
#     9: 10
#     10: 11
#     11: 13
#     12: 14
#     13: 15
#     14: 16
#     15: 17
#     16: 18
#     17: 19
#     18: 20
#     19: 21
#     20: 22
#     21: 23
#     22: 24
#     23: 25
#     24: 27
#     25: 28
#     26: 31
#     27: 32
#     28: 33
#     29: 34
#     30: 35
#     31: 36
#     32: 37
#     33: 38
#     34: 39
#     35: 40
#     36: 41
#     37: 42
#     38: 43
#     39: 44
#     40: 46
#     41: 47
#     42: 48
#     43: 49
#     44: 50
#     45: 51
#     46: 52
#     47: 53
#     48: 54
#     49: 55
#     50: 56
#     51: 57
#     52: 58
#     53: 59
#     54: 60
#     55: 61
#     56: 62
#     57: 63
#     58: 64
#     59: 65
#     60: 67
#     61: 70
#     62: 72
#     63: 73
#     64: 74
#     65: 75
#     66: 76
#     67: 77
#     68: 78
#     69: 79
#     70: 80
#     71: 81
#     72: 82
#     73: 84
#     74: 85
#     75: 86
#     76: 87
#     77: 88
#     78: 89
#     79: 90
#     80: 91
#   run_dir: /data/ssd/files/a0393608/work/code/ti/edgeai-algo/edgeai-benchmark/work_dirs/modelartifacts/8bits/od-8100_onnxrt_coco_edgeai-yolov5_yolov5s6_640_ti_lite_37p4_56p0_onnx
# model_info:
#   metric_reference:
#     accuracy_ap[.5:.95]%: 37.4
# postprocess:
#   detection_thr: 0.01
#   formatter:
#     dst_indices:
#     - 4
#     - 5
#     name: DetectionBoxSL2BoxLS
#     src_indices:
#     - 5
#     - 4
#   ignore_index: null
#   normalized_detections: false
#   resize_with_pad: true
#   save_output: false
#   shuffle_indices: null
#   squeeze_axis: null
# preprocess:
#   add_flip_image: false
#   backend: cv2
#   crop: 640
#   data_layout: NCHW
#   interpolation: null
#   pad_color:
#   - 114
#   - 114
#   - 114
#   resize: 640
#   resize_with_pad: true
#   reverse_channels: false
# session:
#   artifacts_folder: artifacts
#   dir_tree_depth: 3
#   extra_inputs: null
#   input_data_layout: NCHW
#   input_mean: null
#   input_optimization: true
#   input_scale: null
#   input_shape:
#     imagesNet_IN:
#     - 1
#     - 3
#     - 640
#     - 640
#   model_file: /data/ssd/files/a0393608/work/code/ti/edgeai-algo/edgeai-benchmark/work_dirs/modelartifacts/8bits/od-8100_onnxrt_coco_edgeai-yolov5_yolov5s6_640_ti_lite_37p4_56p0_onnx/model/yolov5s6_640_ti_lite_37p4_56p0.onnx
#   model_folder: model
#   model_id: od-8100
#   model_path: model/yolov5s6_640_ti_lite_37p4_56p0.onnx
#   model_type: null
#   num_inputs: 1
#   num_tidl_subgraphs: 16
#   output_shape: null
#   run_dir: od-8100_onnxrt_coco_edgeai-yolov5_yolov5s6_640_ti_lite_37p4_56p0_onnx
#   runtime_options:
#     accuracy_level: 1
#     advanced_options:activation_clipping: 1
#     advanced_options:add_data_convert_ops: 3
#     advanced_options:bias_calibration: 1
#     advanced_options:calibration_frames: 50
#     advanced_options:calibration_iterations: 50
#     advanced_options:channel_wise_quantization: 0
#     advanced_options:high_resolution_optimization: 0
#     advanced_options:output_feature_16bit_names_list: 370, 680, 990, 1300
#     advanced_options:params_16bit_names_list: ''
#     advanced_options:pre_batchnorm_fold: 1
#     advanced_options:quantization_scale_type: 0
#     advanced_options:weight_clipping: 1
#     artifacts_folder: /data/ssd/files/a0393608/work/code/ti/edgeai-algo/edgeai-benchmark/work_dirs/modelartifacts/8bits/od-8100_onnxrt_coco_edgeai-yolov5_yolov5s6_640_ti_lite_37p4_56p0_onnx/artifacts
#     debug_level: 0
#     import: 'no'
#     object_detection:meta_arch_type: 6
#     object_detection:meta_layers_names_list: /data/ssd/files/a0393608/work/code/ti/edgeai-algo/edgeai-benchmark/work_dirs/modelartifacts/8bits/od-8100_onnxrt_coco_edgeai-yolov5_yolov5s6_640_ti_lite_37p4_56p0_onnx/model/yolov5s6_640_ti_lite_metaarch.prototxt
#     platform: J7
#     priority: 0
#     tensor_bits: 8
#     tidl_tools_path: /data/ssd/files/a0393608/work/code/ti/edgeai-algo/edgeai-benchmark/tidl_tools
#     version: '8.2'
#   session_name: onnxrt
#   supported_devices: null
#   target_device: pc
#   tensor_bits: 8
#   tidl_offload: true
#   tidl_tools_path: /data/ssd/files/a0393608/work/code/ti/edgeai-algo/edgeai-benchmark/tidl_tools
#   work_dir: ./work_dirs/modelartifacts/8bits
# task_type: detection