Support Model List
  • 09 Nov 2023
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Support Model List

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Article Summary

List of EVA supported models

ApplicationNetworkTensorRTOpen
VINO
Onnx 
Runtime
Translator
Plugin
Minimun
required EVA
Reference
 link
Note
ClassificationGoogLeNetvvxadtrans_classifier1.0+bvlc_googlenet
MobilenetV2vvvadtrans_classifier2.0+mobilenetv2-7.onnx
ResNet18vxxadtrans_classifier3.5.3+tlt_resnet18_ssd
ResNet--vadtrans_classifier3.5.3+resnet50-v1-7.onnx
SqueezeNet--vadtrans_classifier3.5.3+squeezenet1.0-7.onnx
VGG--vadtrans_classifier3.5.3+vgg16-7.onnx
AlexNet--vadtrans_classifier3.5.3+bvlcalexnet-7.onnx
GoogleNet--vadtrans_classifier3.5.3+googlenet-7.onnx
CaffeNet--vadtrans_classifier3.5.3+caffenet-7.onnx
RCNN_ILSVRC13--vadtrans_classifier3.5.3+rcnn-ilsvrc13-7.onnx
DenseNet-121--vadtrans_classifier3.5.3+densenet-7.onnx
Inception_V1/V2--vadtrans_classifier
3.5.3+
inception-v1-7.onnx /
inception-v2-7.onnx

ZFNet-512--vadtrans_classifier3.5.3+zfnet512-7.onnx
ShuffleNet_V1/V2--vadtrans_classifier3.5.3+shufflenet-7.onnx /
shufflenet-v2-10.onnx

EfficientNet-Lite4--vadtrans_classifier3.5.3+efficientnet-lite4-11.onnx
Object DetectionSSD Inception-V2 v-xadtrans_ssd2.0+sampleUffSSD
Face detection
(SSD based)
xvxadtrans_ssd1.0+face_detection
Yolov3vvvadtrans_yolo2.0+AlexeyAB/darknet
yolov3_onnx
*
Yolov4vvvadtrans_yolo3.5.3+AlexeyAB/darknet
yolov3_onnx
*
Yolov3-tinyvvvadtrans_yolo3.5.3+AlexeyAB/darknet
yolov3_onnx
*
Yolov4-tinyvvvadtrans_yolo3.5.3+AlexeyAB/darknet
yolov3_onnx
(1)
Yolov2-tiny--vadtrans_tinyyolov2_py3.5.3+CustomVision(2)
Pose EstimationOpenPosevvvadtrans_openpose3.0.0+lightweight-human-pose-estimation(3)
PoseNetvvvadtrans_posenet3.8.1+deepstream_pose_estimation(4)
SegmentationFCN-Alexnetvx-adtrans_fcn2.0+L4T-R32.2#pre-trained-models
Intel Segmentationxv-adtrans_segment2.0+semantic_segmentation

(1) : May need to modify conversion script

(2) : Only for CustomVision object detection General Compact Domain

(3) : Better in crowed and small size people

(4) : Better for single people

V : Tested , convert OK

-   : Not test, possible to optimize

X : Tested , cannot optimize


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