Upload configs

models/mod.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fbc2b8fdd808ae9a7cd3bb9ccf84cdd2cf92c5c86e990550ba56e39c291528a4
+size 1491104

models/mod.params

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fb054d5f4e2904dfa77d4a13809589b508c75d18f59723973a924318abf3b2f9
+size 36483622

models/mod.so

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b7dc3a7d7d852619103790ae3759dfcb4c49c4fc473bbe836206cffb468575d2
+size 1611464

models/vamc.yaml

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+dataset:
+  path: ./det_coco_calib/
+  sampler:
+    get_data_num: 50
+    suffix: jpg
+  transform_ops:
+  - type: DecodeImage
+  - adaptive_side: long
+    size:
+    - 640
+    - -1
+    type: Resize
+  - pad_to_square: true
+    type: Pad
+  - div255: true
+    norm_type: null
+    type: Normalize
+  - type: ToTensor
+engine:
+  add_extra_ops_to_graph:
+    params:
+      confidence_threshold: 0.001
+      nms_threshold: 0.65
+      num_classes: 80
+      seg_enable: true
+      strides:
+      - 8
+      - 16
+      - 32
+    type: yolov8_nms
+  calibration:
+    calibrate_mode: percentile
+    quantize_per_channel: true
+    stream_mode: true
+  common:
+    cluster_mode: 0
+    data_transport_mode: 3
+  dtype: int8
+  type: vacc
+model:
+  checkpoint: yolov8m-seg-640.torchscript.pt
+  inputs:
+    images:
+    - 1
+    - 3
+    - 640
+    - 640
+  name: yolov8m-seg
+workspace:
+  enable_ir: false
+  save_log: true
+  work_dir: ./deploy_weights/