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- classification/lenet lenet_deploy 1 1 0 0.5
- classification/alexnet bvlc_alexnet_no_group_deploy_mark 1 1 0 0.5
- classification/vgg16 vgg16_upgrade_deploy;1,224,224,3 1 1 0 0.5
- classification/mobilenet mobilenet_v2_deploy_inplace_depthconv 1 1 0 0.5
- detection/fasterRcnn/double_roi nnie_double_roi 1 1 300 0.5
- #detection/fasterRcnn/pvanet nnie_faster_rcnn_test_ft_rcnn_only_plus_comp 1 1 100 0.5
- detection/mtcnn det3 1 1 0 0.5
- detection/rfcn/resnet50 rfcn_resnet50_nnie 1 1 100 0.5
- detection/ssd nnie_ssd_deploy 1 1 0 0.5
- detection/yolov1 yolo_small_deploy 1 1 0 0.5
- lstm/lstm_fc lstm_fc_0;2,135,1,1:20,135,1,1 2 10 0 0.5
- segmentation/segnet segnet_basic_batchnorm_scale_inference 1 1 0 0.5
- tracker/goturn goturn_tracker_no_group_mark 2:2,1 1 0 0.5
- ci_models detect-deeper-halfdeeper-mbv1-shortcut-400-400_nopostprocess_simplified 1 1 0 0.5
- ci_models gender_res_large_deploy 1 1 0 0.5
- ci_models hdc_age_medium 1 1 0 0.5
- ci_models hdc_isface 1 1 0 0.5
- ci_models hiai_cpu_face_detect 1 1 0 0.5
- ci_models hiai_cv_aestheticsEngineModel_osp 1 1 0 0.5
- ci_models hiai_cv_focusShootOCRModel_01 1 1 0 0.5
- ci_models hiai_face_RFB-Epoch-170-no-transpose 1 1 0 0.5
- ci_models landmark 1 1 0 0.5
- ci_models ml_2012_ocr_detection_caffe_tmp 1 1 0 0.5
- ci_models ml_hand_3d_detection 1 1 0 0.5
- ci_models ml_hand_3d_regression 1 1 0 0.5
- ci_models ml_ocr_detect_20200305 1 1 0 0.5
- ci_models mtk_detect-deeper-halfdeeper-mbv1-lastearlySSD-shortcut-400-400_nopostprocess_simplified 1 1 0 0.5
- ci_models mtk_detect-mbv1-shortcut-400-400_nopostprocess_simplified 1 1 0 0.5
- ci_models mtk_detect_mbv1_640_480_nopostprocess_simplified 1 1 0 0.5
- ci_models ml_Heatmap_depth_180240 2:2,1 1 0 0.5
- ci_models ml_video_edit_person_divison_video 2:2,1 1 0 0.5
- ci_models bolt_deploy_color-server 1 1 0 1.9
- ci_models hiai_video_seg 1 1 0 3.0
- ci_models ml_video_edit_have_imageProcessLayer_interpTo145_20201015 1 1 0 2.9
- ci_models ml_ocr_identify_card_fcny 1 1 0 0.5
- ci_models ml_2012_ocr_rec_caffe 1 1 0 0.5
- ci_models ml_tabel_recog 1 1 0 0.5
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