Upload traffic structure configuration

models/yolov7_tiny_traffic-int8-kl_divergence-1_3_640_640-vacc-pipeline/mod.json

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+size 730115

models/yolov7_tiny_traffic-int8-kl_divergence-1_3_640_640-vacc-pipeline/mod.params

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+oid sha256:995f587ca934a2593c029f338311e2bbe8d1394d7417e078539a5540598fb7f2
+size 7718214

models/yolov7_tiny_traffic-int8-kl_divergence-1_3_640_640-vacc-pipeline/mod.so

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+version https://git-lfs.github.com/spec/v1
+oid sha256:dae70418f96679dca742bcb345855a1fb8ed8773835d89bfaf53dff01eec6aa5
+size 852336

models/yolov7_tiny_traffic-int8-kl_divergence-1_3_640_640-vacc-pipeline/vamc.yaml

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+dataset:
+  path: det_coco_calib
+  sampler: {get_data_num: 100, suffix: null}
+  transform_ops:
+  - {type: DecodeImage}
+  - adaptive_side: long
+    size: [640, -1]
+    type: Resize
+  - {pad_to_square: true, type: Pad}
+  - {norm_type: null, type: Normalize}
+  - {type: ToTensor}
+engine:
+  add_extra_ops_to_graph:
+    params:
+      anchor: [3, 11, 7, 7, 6, 17, 14, 12, 9, 24, 25, 20, 32, 32, 71, 27, 81, 75]
+      confidence_threshold: 0.25
+      nms_threshold: 0.45
+      num_classes: 80
+      strides: [8, 16, 32]
+    type: yolov5_nms
+  calibration: {calibrate_mode: kl_divergence, quantize_per_channel: true, stream_mode: true}
+  common: {cluster_mode: 0, data_transport_mode: 3}
+  dtype: int8
+  type: vacc
+model:
+  checkpoint: best_299.torchscript.pt
+  inputs:
+    input: [1, 3, 640, 640]
+  name: yolov7_tiny_traffic
+workspace: {enable_ir: false, save_log: true, work_dir: ./deploy_weights/}