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質問

搭載実績のあるモデルとその処理時間が知りたい。

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回答

以下の表をご参照ください。

CNN モデル

処理時間 (ms) ※参考値

Xシリーズ
Sシリーズ (i-PRO mini / 全方位)

Sシリーズ
(Box / Dome)

mobilefacenets_fix8_112_96

2.0846

4.1692

mobilenetv1_ssd_fix8_300_300

6.9175

13.835

resnet50_fix8_224_224

18.7301

37.4602

vgg19_fix8_224_224

88.0988

176.1976

vgg16_ssd_fix8_300_300

122.4476

244.8952

yolov3_fastest_fix8_320_320

1.1967

2.3934

yolov3_mnetv2_nano_fix8_320_320

1.7658

3.5316

yolov3_fastest_xl_fix8_320_320

2.5402

5.0804

yolov3_mnetv2_lite_fix8_320_320

5.0584

10.1168

tf_yolo_v3_mixed_416_416

180.2604

360.5208

tf_deeplab_v3_fix8_513_513

17.236

34.472

bodypix_fix8_481_641

25.4898

50.9796

tf_inceptionv1_fix8_224_224

6.8038

13.6076

tf_inception_v3_fix8_299_299

28.917

57.834

tf_mobilenetv1_fix8_224_224

3.2801

6.5602

tf_mobilenetv2_fix8_224_224

2.4037

4.8074

tf_mobilenetv2_ssdlite_fix8_300_300

6.0922

12.1844

tf_efficientdet_d0_fix8_512_512

79.399

158.798

onnx_efficientnet_b0_fix8_224_224

11.6885

23.377

onnx_centernet_fix8_384_384

65.2046

130.4092

onnx_fgfd_fix8_240_320

0.7421

1.4842

onnx_retinaface_fix8_640_640

4.9085

9.817

onnx_yolov3_fix8_416_416

166.9117

333.8234

onnx_yolov3_spp_fix8_416_416

167.585

335.17

onnx_yolov3_tiny_fix8_416_416

13.2943

26.5886

onnx_yolov5s_fix8_416_416

21.9484

43.8968

onnx_yolov5m_fix8_416_416

60.7822

121.5644

onnx_yolov5l_fix8_416_416

130.7734

261.5468

onnx_yolov5x_fix8_416_416

239.9791

479.9582

onnx_fairmot_fix8_160_288

26.883

53.766

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