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itmo-nn-compression

name metrics/precisionB metrics/recallB sparsity postprocess size metrics/mAP50B metrics/mAP50-95B fitness inference preprocess
yolo tflight fp32 0.64 0.54 None 2.21 12.08 0.61 0.45 0.46 77.69 1.91
yolo tflight fp16 0.64 0.54 None 2.39 12.02 0.61 0.45 0.46 82.04 1.51
yolo tflight int8 0.64 0.54 None 2.17 12.02 0.61 0.45 0.46 72.02 1.37
yolo prune 0.05 params 0.65 0.52 5.00 3.68 12.08 0.61 0.45 0.46 8.42 1.03
yolo prune 0.1 params 0.55 0.41 10.00 9.95 12.08 0.46 0.32 0.33 5.03 1.05
yolo prune 0.15 params 0.49 0.46 15.00 7.18 12.08 0.46 0.32 0.33 9.36 0.92
yolo prune 0.2 params 0.32 0.29 20.00 6.93 12.08 0.25 0.15 0.16 4.79 0.97
yolo prune 0.25 params 0.45 0.11 25.00 13.35 12.08 0.12 0.07 0.07 4.95 1.03
yolo prune 0.3 params 0.34 0.06 30.00 1.45 12.08 0.03 0.02 0.02 84.10 11.03
yolo prune 0.4 params 0.43 0.01 40.00 4.88 12.08 0.01 0.00 0.00 4.90 1.42
yolo run ultralytics 0.64 0.54 None 2.21 12.08 0.61 0.45 0.46 8.62 1.01
yolo distil params 0.64 0.54 None 2.86 6.04 0.61 0.45 0.46 24.52 2.14
yolo openvino 0.65 0.53 None 4.92 12.34 0.61 0.45 0.47 78.59 1.38
yolo tflite 0.65 0.53 None 1.72 12.18 0.61 0.45 0.47 182.46 0.97
yolo torchscript 0.65 0.53 None 2.18 12.42 0.61 0.45 0.47 121.41 2.26
yolo onnx 0.65 0.53 None 6.01 12.23 0.61 0.45 0.47 97.28 2.49
ultralytics yolo distil params 0.76 0.50 None 4.93 6.04 0.60 0.43 0.44 15.96 9.12
yolo ultralytics cpu 0.64 0.54 None 1.61 12.08 0.60 0.45 0.46 157.59 1.61

Params:

  • cluster_centroids_init -- KMEANS_PLUS_PLUS
  • number_of_clusters - 16
name accuracy GPU Memory,GB Model Size
base resnet 0.21 36.4844 97.80
clustered resnet 0.10 0.1815 97.80

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