# nextncc-models **Repository Path**: nextvpu2016/nextncc-models ## Basic Information - **Project Name**: nextncc-models - **Description**: modelzoo for nextncc compiler - **Primary Language**: Unknown - **License**: GPL-3.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2023-02-24 - **Last Updated**: 2024-02-26 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README nextncc-models #### 介绍 modelzoo for nextncc compiler #### 支持模型 **FP16** | modelname |input_shape | runtime | modelsize | framework | | :---------------------- | :---------- | :-----: | :-------: | :---------------------- | |分类模型|||| | | vgg16 | 1x3x224x224 | 106ms | 540M | onnx | | mobilentv1 | 1x3x224x224 | 21ms | 16.6M | onnx | | mobilenet_v2| 1x3x224x224 | 11ms | 13.8M | onnx | | mobilenet_v3| 1x3x56x56 | 14ms | 6.2M | onnx | | shufflenet_v2 | 1x3x224x224 | 249ms | 8.8M | onnx | | squeezenet| 1x3x224x224 | 18ms | 4.8M | onnx | | efficientnet| 1x3x224x224 | 29ms | 47M | onnx | | resnet18| 1x3x224x224 | 18ms | 45.6M | ncnn | | resnet50| 1x3x224x224 | 35ms | 100M | caffe | | mobilefacenet| 1x1x112x112 | 10ms | 8.1M | onnx | |se_resnet50 | 1x3x224x224 | 221ms| 109.6M | onnx | |repvgg_A0 | 1x3x224x224 | 35ms| 35.5M | onnx | |densenet121 | 1x3x224x224 | 49ms| 31.5M | onnx | |cspresnet50 | 1x3x224x224 | 105ms| 84.3M | onnx | |cspdarknet50|1x3x224x224 | 126ms| 107.9M| onnx | |repvgg_B0 | 1x3x224x224 | 45ms| 61.8M | onnx | |resnetv1c50 | 1x3x224x224 | 52ms| 99.8M | onnx | |resnet34_b16x8 | 1x3x224x224 | 268ms| 83.1M | onnx | |resnet34_8xb32 | 1x3x224x224 | 45ms| 85.1M | onnx | |resnext50_32x4d | 1x3x224x224 | 765ms | 97.6M | onnx | |regnetx_3_2gf | 1x3x224x224 | 527ms | 60M | onnx | | ghostnet_state_dict_73.98 | 1x3x320x256 | | 20.2M | onnx | | MobilenetSkipAdd_fp16 | | | | | | mobilenetv34_fp16 | | | | | | | | | | | | __检测模型__ |||| | | yolov3 | 1x3x416x416 | 100ms | 3.2M | ncnn | | yolov5| 1x1x576x640 | 77ms | 49M | onnx | | yolov7| 1x3x640x640 | 72ms | 24.3M | onnx | | yolox | 1x3x640x640 | 67ms | 0.9M | ncnn | | scrfd| 1x1x192x320 | 30ms | 0.06M | ncnn | | retinaface | 1x3x640x640 | 383ms | 1.8M | caffe | | yolo_fast| 1x3x320x320 | 12ms | 1.7M | caffe | | yolo_fastest| 1x3x320x320 | 58ms | 0.6M | ncnn | | pfld| 1x3x112x112 | 8ms | 4.7M | onnx | | hopenet| 1x3x224x224 | 10ms | 13.3M | caffe | | facepose| 1x1x224x224 | 7ms | 2.3M | onnx | | yolact| 1x3x550x550 | 30ms | 8.6M | onnx | | rtmdet_tiny| 1x3x640x640 |914ms |21.7M |onnx | |yolov8_n_syncbn | 1x3x640x640 |721ms |12.3M | onnx| |ms_rcnn_r50_caffe_fpn_1x_coco|1x3x800x1216||107M|onnx| |point_rend_r50_caffe_fpn_mstrain_1x_coco|1x3x800x1216||107M|onnx| |nas_fcos_nashead_r50_caffe_fpn_gn|1x3x800x1216||97M|onnx| | rtmdet_tiny_syncbn_fast_8xb32_300e_coco_20230102_140117_dbb1dc83 | 1x3x60x640 | | 21.7M | onnx | | yolov7_tiny_backbone | | | | | | yolov5s_out_fp16 | | | | | | yolov8_onnx | | | | | | yolov5_2_fisheye_21_9_8_fp16 | | | | | | yolov5s6_640x384_all_hardswish | | | | | | yolov5_relu_sim | | | | | | yolov5s6_640x384_all_hardswish_yuv2rgb | | | | | | yolo_fastest_11_without_Post | | | | | | yolo_fastest_11_xl_without_Post | | | | | | yolox_rgb_facedet_relu_Postpp | | | | | | Yolo_fast_v1_fp16 | | | | | | yolo_fastest_11_xl_with_Post | | | | | | yolo_fastest_11_with_Post | | | | | | SCRFD_rgb_20220314_with_Postpp | | | | | | onet_without_sigmoid_v3_fp16 | | | | | | yolov5_op_int8_SRI_2322 | | | | | | yolov7_256x320_sim | | | | | | yolor_csp | | | | | | retinanet_9 | | | | | | | | | | | | __分割模型__ | | | | | | deeplabv3plus| 1x3x512x512 | 112ms | 20M | onnx | | unet| 1x3x640x480 | 1127ms | 113.2M | onnx | | stdc1_inlk_pre| 1x3x640x480 | 128ms | 32.3M | onnx | | fcn_hr18s|1x3x640x480|535ms|15.3M| onnx | | fcn_r18b|1x3x640x480 |351ms |49.4M | onnx | |segnet | 1x3x512x512 | 724ms | 115M | onnx | |pointrend_r50_512x1024|1x3x640x480||111M|onnx| | ocrnet_hr18s_512x512_40k_voc12aug_20200614_002025_42b587ac | 1x3x640x480 | | 24.9M | onnx | | stdc2_in1k_pre_512x1024_80k_cityscapes_20220224_073048_1f8f0f6c | 1x3x512x1024 | | 48M | onnx | | yolact_edge | | | | | | yoloact | | | | | | fcn_hr18b | | | | | | homemade_deeplabv3plus_mobilenet_sim_fp16 | | | | | | encoder | | | | | | lisen_facn32s | | | | | | lisen_mas_seg | | | | | | ncnn_best_int8 | | | | | | __超分模型__ | | | | | | espcn_dspconcat | 1x1x224x224 | 204ms | 0.15M | onnx | | __OCR模型__ | | | | | | ch_ppocr_mobile_v20_det | 1x3x960x960 |139ms|2.2M| onnx | | crnn| 1x3x32x768 | 2940ms | 6.8M | onnx | | ch_ptocr_mobile_v2_0_cls_infer | 1x3x48x192 | 2ms | 0.5M | onnx | | rec_r34_vd_none_bilstm_ctc_v2_0_infer | 1x3x32x100 | 898ms | 95.6M |onnx | |det_mv3_pse_v2_0_infer|1x3x544x960|183ms|5.6M |onnx| | | | | | | | | | | | | | __版面模型__ | | | | | | srcnn_x4k915_1x16_1000k_div2k_20200608_4186f232 | 1x3x427x640 | | 1.6M | onnx | | | | | | | |__faceid模型__ | | | | | | facerec_onnx_int8_NH | | | | | | face_rec_fp16 | | | | | | mobilefacenet | | | | | | hopenet_lite_fp16 | | | | | | occ_mobv2_nir_test_sim_fp16 | | | | | | face_encode_mbv1_100_1129_fp16 | | | | | | landmarks_slim_ir_fp16 | | | | | | insightface_fp16 | | | | | | ir_face_liveness_ssd_fp16 | | | | | | yolox_rgb_facedet_relu_Postpp | | | | | | angle_220713 | | | | | | rtmdet_tiny | | | | | | rtmdet_tiny_syncbn_fast_8xb32_300e_coco_20230102_140117_dbb1dc83 | | | | | | pa_fp16 | | | | | | 2d_fp16 | | | | | | o_fp16 | | | | | | 5input_fp16 | | | | | | p_fp16 | | | | | | k2_fp16 | | | | | | sp_fp16 | | | | | | test_fp16 | | | | | | pstv_fp16 | | | | | | | | | | | | | | | | | | pinto | | | | ----------------------------------------------- | ---- | ---- | | 037_First_Neural_Style_Transfe | | | | 042_centernet | | | | 051_East_Text_Detection | | | | 062_facial_cartoonization | | | | 064_Dense_Depth | | | | 066_footprints | | | | 067_MiDaS | | | | 070_age | | | | 071_Noise2Noise | | | | 072_NanoDet | | | | 076_Deep_White_Balance | | | | 078_MODNet_instancenorm | | | | 081_MiDaS_v2 | | | | 087_DeepSort | | | | 092_weld_porosity_detection_0001 | | | | 093_ocr_japanese | | | | 094_hand_recrop | | | | 101_arbitrary_image_stylization | | | | 109_Selfie_Segmentation | | | | 112_DeblurGANv2 | | | | 114_Two_branch_dehazing | | | | 118_Speech | | | | 133_Real_ESRGAN | | | | 139_PSD_Principled | | | | 140_Ultra_Fast_Lane_Detection | | | | 141_lanenet_lane_detection | | | | 146_FastDepth | | | | 153_MegaDepth | | | | 154_driver | | | | 156_MobileHumanPose | | | | 158_HR | | | | 159_EPCDepth | | | | 176_StableLLVE | | | | 187_vehicle | | | | 188_vehicle | | | | 194_face_recognizer_fast | | | | 199_NSFW | | | | 207_GLADNet | | | | 214_EnlightenGAN | | | | 215_AOD_Net | | | | 228_Fast_SCNN | | | | 242_RobustVideoMatting | | | | 259_Emotion_FERPlus | | | | 271_HRNet | | | | 292_Graft_PSMNet | | | | 314_PyDNet2 | | | | 317_MobileOne | | | | 351_RFDN | | | | 373_LiteTrack | | | | 379_PP | | | | 391_MagicTouch | | | | 398_L2CS | | | | 400_CSRNet | | | | 410_FaceMeshV2 | | | | 412_pytorch_cpn | | | | 421_modified_last | | | | 55_Handwritten | | | | 099_efficientnet_anomaly_detection_segmentation | | | | 120_FRILL | | | | 205_MBLLEN | | | | 256_SFace | | | | 385_pairlie | | | | generalizing_1x3x160x160_sim | | | | open_closed_eye | | | | retinaface_mobilenet0_25_Final_180x320 | | | | schs_pan_512x512 | | | | schs_unet_plus_plus_512x512 | | | | uretinex_net_180x320_sim | | | | | | | | | | | | | | | | Classification | | | | ------------------------------------------------- | ---- | ---- | | ck_ghostnetv2_10_sim | | | | ghostnet_state_dict_73_98 | | | | tinynet_e | | | | Resnet34_3inputs_448x448_20200609_new | | | | lisen_resnext50_elastic_sim | | | | mixnet_l | | | | mixnet_s_sim | | | | mixnet_xl_sim | | | | resnext101_32x8d_sim | | | | se_resnet50 | | | | seresnet152d_sim | | | | skresnet18_sim | | | | skresnet34_sim | | | | resnet101_fp16_ForCompilerV3_without_softmax_fp16 | | | | resnet50_without_softmax | | | | resnet18_fp16 | | | | resnet50_fp16 | | | | resnet152_fp16_ForCompilerV3_without_softmax_fp16 | | | | resnet34_8xb32 | | | | resnet50_without_softmax_fp16 | | | | lcnet_050 | | | | | | | | KAIR | | | | -------------------- | ---- | ---- | | dncnn3 | | | | dncnn_15 | | | | dncnn_25 | | | | dncnn_50 | | | | dncnn_color_blind | | | | dncnn_gray_blind | | | | dpsr_x3_depthToSapce | | | | dpsr_x4_gan | | | | fdncnn_color | | | | fdncnn_color_clip | | | | fdncnn_gray | | | | fdncnn_gray_clip | | | | ircnn_color | | | | ircnn_gray | | | | rrdb_x4_esrgan | | | | rrdb_x4_psnr | | | | srmd_x2 | | | | srmd_x4 | | | | srmdnf_x2 | | | | srmdnf_x4 | | | | BSRGAN | | | | BSRGANx2 | | | | BSRGANx2_sim | | | | ESRGAN | | | | ESRGAN_sim2 | | | | FSSR_DPED | | | | FSSR_JPEG | | | | RealSR_DPED | | | | RealSR_JPEG | | | | RRDB | | | | open_closed_eye_new | | | | Deblur | | | | --------------------------- | ---- | ---- | | DMPHN_1_2_4_encoder_lv1_sim | | | | DMPHN_1_2_4_encoder_lv2_sim | | | | DMPHN_1_2_4_encoder_lv3_sim | | | | resnetblur50_sim | | | | FollowAnyThing | | | | -------------- | ---- | ---- | | r50 | | | | | | | | onnxmodelzoo | | | | ---------------- | ---- | ---- | | ResNet18 | | | | ResNet18_v2 | | | | ResNet34 | | | | ResNet34_v2 | | | | ResNet50 | | | | ResNet50_fp32 | | | | ResNet50_v2 | | | | ResNet101 | | | | ResNet101_v2 | | | | ResNet152 | | | | ResNet152_v2 | | | | squeezenet1_0 | | | | squeezenet1_1 | | | | densenet121_12s | | | | inception_v2_9s | | | | shufflenet_v1 | | | | shufflenet_v2_12 | | | | | | | | | | | | timm | | | | ------------------------------------ | ---- | ---- | | adv_inception_v3 | | | | cait_s24_224_sim | | | | cait_xxs24_224_sim | | | | cspdarknet53 | | | | cspresnet50_timm | | | | cspresnext50 | | | | deit_base_distilled_patch16_224 | | | | deit_small_distilled_patch16_224_sim | | | | deit_small_patch16_224_sim | | | | deit_tiny_distilled_patch16_224_sim | | | | deit_tiny_patch16_224_sim | | | | densenet121_timm | | | | densenet161 | | | | densenet169 | | | | densenet201 | | | | densenetblur121d | | | | dla102 | | | | dla102x | | | | dla169 | | | | dla34 | | | | dla46_c | | | | dla46x_c | | | | dla60 | | | | dla60_res2net | | | | dla60x | | | | dla60x_c | | | | dm_nfnet_f2 | | | | dm_nfnet_f3_sim | | | | dpn107 | | | | dpn131 | | | | dpn68 | | | | dpn68b | | | | dpn98 | | | | eca_resnet33ts_sim_m | | | | eca_resnext26ts | | | | ecaresnet26t_sim | | | | ecaresnet50t_sim | | | | efficientnet_b1 | | | | efficientnet_b2 | | | | efficientnet_b3 | | | | efficientnet_b4 | | | | efficientnet_el | | | | efficientnet_el_pruned | | | | efficientnet_em | | | | efficientnet_es | | | | efficientnet_es_pruned | | | | efficientnet_gs | | | | efficientnet_lite0 | | | | efficientnetv2_rw_m | | | | efficientnetv2_rw_s | | | | efficientnetv2_rw_t | | | | ens_adv_inception_resnet_v2 | | | | ese_vovnet39b | | | | fbnetc_100 | | | | fbnetv3_b | | | | fbnetv3_d | | | | fbnetv3_g | | | | gc_efficientnetv2_rw_t_sim | | | | gernet_l | | | | gernet_m | | | | gernet_s | | | | ghostnet_100_sim | | | | gluon_inception_v3_sim | | | | gluon_resnet101_v1b | | | | gluon_resnet101_v1d_sim | | | | gluon_resnet101_v1s | | | | gluon_resnet152_v1b | | | | gluon_resnet152_v1c | | | | gluon_resnet152_v1d | | | | gluon_resnet152_v1s | | | | gluon_resnet18_v1b | | | | gluon_resnet34_v1b | | | | gluon_resnet50_v1b | | | | gluon_resnet50_v1c | | | | gluon_resnet50_v1d | | | | gluon_resnet50_v1s | | | | gluon_resnext101_32x4d_timm | | | | gluon_resnext50_32x4d_timm | | | | gluon_seresnext101_32x4d_timm | | | | gluon_seresnext101_64x4d_timm | | | | gluon_seresnext50_32x4d_timm | | | | gluon_xception65_timm | | | | hrnet_w18_small_v2_timm | | | | hrnet_w18_timm | | | | hrnet_w30_timm | | | | hrnet_w64_sim | | | | ig_resnext101_32x16d_sim | | | | mnasnet_small | | | | nf_resnet50_sim | | | | pit_ti_distilled_224_sim | | | | regnetx_016 | | | | regnetx_040_sim | | | | regnetx_080_sim | | | | regnetx_320 | | | | regnety_004_sim | | | | regnety_320_sim | | | | regnetz_d8_sim | | | | res2net101_26w_4s_sim | | | | res2net50_26w_4s_sim | | | | res2net50_26w_6s_sim | | | | res2next50 | | | | resnest101e | | | | resnest14d | | | | resnest26d | | | | resnest50d | | | | resnet200d_sim | | | | resnetrs152_sim | | | | resnetrs270_sim | | | | resnetrs350 | | | | resnetrs420 | | | | resnetv2_50x1_bitm_sim | | | | selecsls42b_sim | | | | selecsls60_sim | | | | ssl_resnext101_32x16d_sim | | | | ssl_resnext101_32x8d_sim | | | | swsl_resnet18 | | | | swsl_resnext101_32x16d_sim | | | | swsl_resnext101_32x8d_sim | | | | tf_efficientnet_b2_sim | | | | tf_efficientnet_b7_ns_sim | | | | tf_efficientnet_el_sim | | | | tf_efficientnetv2_b0_sim | | | | tf_efficientnetv2_xl_in21k_sim | | | | tf_inception_v3_sim | | | | tf_mixnet_l | | | | tf_mixnet_m_sim | | | | tinynet_a | | | | tinynet_b | | | | edgenets | | | | ----------------------------------- | ---- | ---- | | dicenet_s_0_2_imagenet | | | | dicenet_s_0_75_imagenet_224x224_sim | | | | espnetv2_s_0_5_imagenet_224x224_sim | | | | espnetv2_s_10_imagenet_224x224_sim | | | | | | | | | | | | imgclsmob | | | | ----------- | ---- | ---- | | scnet50_sim | | | | | | | | ncnn-model | | | | ---------------------- | ---- | ---- | | anime_face_hrnetv2_sim | | | | candy | | | | mosaic | | | | pointilism | | | | udnie_sim | | | | netD_A2B_sim | | | | nanodet | | | | hybridnets_sim | | | | | | | | cvpr2020 | | | | ---------------- | ---- | ---- | | BSConv | | | | TTSR | | | | MSBDN_DFF_sim | | | | DenseNAS | | | | fbnet_sim_modify | | | | PointNetCls_sim | | | | | | | | | | | | | | | | cvpr2021 | | | | ----------------- | ---- | ---- | | condensenetv2_sim | | | | MPRNet_sim | | | | | | | | | | | | cvpr2022 | | | | ------------------ | ---- | ---- | | fifo | | | | shunted_S_sim | | | | poolformer_s12_sim | | | | SSPCAB_sim | | | | ReCAM | | | | ContrastiveCrop | | | | | | | | cvpr2023 | | | | -------------------- | ---- | ---- | | FasterNet_sim_modify | | | | cvpr_2023_mapper | | | | eccv2020 | | | | ---------------- | ---- | ---- | | BBSNet_sim | | | | BBS__net | | | | FairDARTS | | | | DANet_rgbd | | | | HDFNet_Res50_sim | | | | | | | | iccv2021 | | | | --------- | ---- | ---- | | dino_main | | | | SPNet_sim | | | | CaaM | | | | | | | | preprocessing/postprocessing | | | | ------------------------------------------- | ---- | ---- | | pp_fp16_imageNorm_conv_onnx | | | | pp_model_1_yuv_focus_conv_matrix_input_fp16 | | | | pp_fp16_pre_conv_post | | | | pp_fp16_crop_conv | | | | pp_fp16_imageNorm_conv | | | | pp_fp16_rotation_conv_2 | | | | pp_fp16_rotation_conv | | | | yuv_preprocess_fp16_out | | | | PostYoloV5 | | | | subnetwork | | | | -------------------------------- | ---- | ---- | | case003_1 | | | | model_npu_testv1_3s_end_rbc_fp16 | | | | model_npu_testv2_3s_end_fp16 | | | | | | | | | | | | | | | | | | | | **Stereo Vision** | | | | DispResNet6_sim | | | | lite_hr_depth_k_t_depth_192x640_sim | | | | | | | | | | | | **Generative** | | | | GeneratorResnet_sim | | | | | | | | **Colorization** | | | | SpixelNet1l_sim | | | | | | | | | | | | **Attention** | | | | fcanet34_sim | | | | | | | | | | | | **gnn** | | | | fmd_dncnn | | | | fmd_n2n | | | | lisen_het | | | | **Salient Object Detection** | | | | lisen_basnet | | | | | | | | **pose** | | | | posehighresolutionnet | | | | | | | | **vit** | | | | repvit_m0_9_sim | | | | | | | | **nas** | | | | semnasnet_075 | | | | | | | | **object detection** | | | | vovnet39_sim | | | | vovnet57_sim | | | | cotton_fp16 | | | | model3_det | | | | best1_2_14_fp16 | | | | model3_ly0427_fp16 | | | | model3_3_0805_sim6_fp16 | | | | cotton_OcvYuv2Rgb | | | | model3_simple_128x256x6_sim | | | | model_SRI_2627_fp16 | | | | person_det_fp16 | | | | v8_n_fp16 | | | | SRI_2975_0823 | | | | model_1_ConcatIn_OfficeNcnn_fp16 | | | | | | | | **tracking** | | | | bytetrack_s | | | | | | | **int8** | 检测模型 | | | | -------------------------------- | ---- | ---- | | yolov3_mobilenetv2_int8 | | | | yolov5_int8_modified_2 | | | | yolov5_720p_int8 | | | | relu_yolox_int8 | | | | yolov5s1_int8 | | | | relu_yolox1220_post_AddNorm_int8 | | | | | | | | faceid模型 | | | | ----------------------------------- | ---- | ---- | | face_encode_mbv1_100_20220106_int8 | | | | landmarks_slim_ir_0315_noprune_int8 | | | | landmarks_20220109_int8 | | | | ir_face_liveness_ssd_20220110_org_int8 | | | | ir_face_liveness_ssd_20211217_org_int8 | | | | face_attributes_blur_mobilenetv1_pt_20211231_int8 | | | | face_encode_mbv1_100_1129_int8 | | | | facerec_onnx_int8_JG | | | | insightface_int8 | | | | ir_face_liveness_ssd_galileo_int8 | | | | landmarks_20220109_int8 | | | | galileo_face_detection_scrfd_20210301_int8 | | | | face_encode_mbv1_100_20220106_int8 | | | | SCRFD_rgb_20220314_with_Postpp_int8 | | | | landmarks_slim_ir_int8 | | | | ir_face_liveness_ssd_galileo_20211217_org_int8 | | | | rgb_facedet_relu_yolox_20220120_int8 | | | | galileo_IR_CSPMBV2SSD025_20220209_int8 | | | | IR_FaceOcclusion_20220318_int8 | | | | ir_antispoof_mbv3_20210121_int8 | | | | yolox_nano_face_sim_int8_ql_uint8_yuv2rgb_int8 | | | | galileo_IR_CSPMBV2SSD025_20220126_int8 | | | | face_attributes_blur_mobilenetv1_pt_20211231_int8 | | | | ir_face_liveness_ssd_galileo_int8_AddNormalize | | | | face_detection_scrfd_20210120_int8 | | | | galileo_facerec_y15leakyrelu_256_20220129_11_int8 | | | | eye_ONetMobileV1_plus_v0_4_6000_without_softmax_int8 | | | | mouth_onet_v2_9_0600_int8 | | | | mb_tiny_fh_a2_negEpoch20_Loss1_for_cpp_no_weight_onnx_simp_int8 | | | | | | | | | | | | | | | | Classification | | | | --------------------- | ---- | ---- | | mbv2focus_sim_int8_NH | | | | | | | | | | | | preprocessing/postprocessing | | | | --------------------------------------------------------- | ---- | ---- | | pp_uint8_yuv2rgb_imageNorm_conv | | | | pp_uint8_rotation_CLOCKWISE_90_imageNorm_conv | | | | pp_uint8_imageNorm_conv | | | | pp_uint8_imageNorm_conv_softmax | | | | pp_uint8_crop_imageNorm_conv | | | | pp_uint8_rotation_CLOCKWISE_180_imageNorm_conv | | | | pp_uint8_imageNorm_conv_crop | | | | pp_uint8_rotation_COUNTERCLOCKWISE_90_imageNorm_conv | | | | pp_uint8_yuv2rgb_bgr_imageNorm_conv | | | | pp_uint8_crop_imageNorm_int8_conv | | | | pp_uint8_rotation_COUNTERCLOCKWISE_90_imageNorm_int8_conv | | | | pp_uint8_imageNorm_int8_conv_320x320 | | | | | | | | pp_uint8_rotation_CLOCKWISE_90_imageNorm_int8_conv | | | | pp_uint8_yuv2rgb_imageNorm_int8_conv | | | | pp_uint8_yuv2rgb_bgr_imageNorm_int8_conv | | | | pp_uint8_rotation_CLOCKWISE_180_imageNorm_int8_conv | | | | subnetwork | | | | -------------------------- | ---- | ---- | | convrelu_quant_int8_NH | | | | convrelu_quant_int8_JG | | | | mbv2focus_sim_int8_JG | | | | | | | | | | | | **Object detection** | | | | model_int8 | | | | model3_SRI2819_int8 | | | | model3_3_0815_int8 | | | | v8_n_int8 | | | | **segmentation** | | | | best_int8 | | | | upsample_416_cut_0505_int8 | | | | best_int8_0802 | | | #### 模型地址 百度网盘 :https://pan.baidu.com/s/1eU6nfDkZvJhDMyf06hIrZw 提取码: vbbe #### 使用说明 ​