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- # [first column]:model_name, If you need input shape, please connect it through ';' after the model name.
- # [second column]:accuracy limit in arm64
- # [third column]:accuracy limit in armv82_a32
- # Each column is separated by a space and comment on a single line!
- # The missing third column indicates that armv82_a32 does not need to maintain this model.
- ml_vision_guide_detection1.pb 0.5
- ml_vision_guide_detection3.pb 0.5
- ml_video_edit_generate_filter.pb 2
- ml_ocr_jk.pb 0.7
- # The accumulated error causes the threshold to be exceeded
- ml_ocr_latin.pb 12
- scan_hms_angle.pb 1.5
- scan_hms_detect.pb 2.5
- ml_face_openclose.pb;1,32,32,3 0.5
- ml_object_detect.pb;1,288,288,3 2
- # The inputs of two Q_crnn_screen_slim400w models are between 0-255, but their outputs have small values (e-7).
- Q_crnn_screen_slim400w_more_20w.pb 72
- Q_inception-249970-672-11-16.pb 6.5
- hiai_ssd_mobilenetv2_object.pb 15
- hiai_humanDetection.pb 3.5
- hiai_PoseEstimation_Pcm.pb 0.5
- # The last layer has a very small value, which leads to a large error
- hiai_cn_recognize_modify_padv2.pb;1,32,512,1 27
- hiai_model_normalize_object_scene_ps_20200519.pb;1,224,224,3 17
- # The output of mtk_model_ckpt.pb has small value
- mtk_model_ckpt.pb 19
- mtk_age_gender.pb 0.5
- # The Difference of output node divided by 0 results in cumulative deviation
- mtk_model_normalize_object_scene_ps_20200519.pb;1,224,224,3 10
- # Bccumulative error of conv_batchnorm_fused op
- mtk_AADB_HADB_MBV2_model.pb;1,224,224,3 5.5
- mtk_AADB_HADB_MBV3_model.pb;1,224,224,3 4
- # The output of mtk_face_features_v1.pb has small value
- mtk_face_features_v1.pb 26
- model_normalize_object_scene_ps_20200519.pb;1,224,224,3 10
- hiai_AADB_HADB_MBV2_model.pb;1,224,224,3 6
- hiai_frozen_inference_graph.pb 8
- hiai_lm_inference_graph.pb 0.6
- hiai_ghostnet.pb 0.9
- hiai_face_model_npu.pb 0.5
- hiai_cv_focusShootOCRModel_02.pb 10.5
- hiai_label_and_video.pb;1,224,224,3 23
- hiai_dress_detect.pb;1,960,960,3 1.5
- hiai_iMaxDN_RGB.pb 0.5
- hiai_iMaxSR_RGB.pb 3.5
- hiai_ctpn_feature_map.pb 6.5
- hiai_cpu_face_gazing.pb 0.5
- hiai_cpu_face_emotion.pb 2
- hiai_cv_poseEstimation.pb 103
- Q_dila-small-mix-full-fineturn-390000-nopixel-nosigmoid.pb 1.5
- # The input of Q_crnn_ori_75w_slim model is between 0-255, but its outputs has small values (e-6).
- Q_crnn_ori_75w_slim_norm.pb 37
- # The output of Q_crnn_ori_v2 model has small values (e-4).
- Q_crnn_ori_v2_405001_notrans_nopre.pb 24
- # The input of hiai_latin models are between 0-255
- hiai_latin_ocr.pb 4
- hiai_latin_ocr_1.pb 3.5
- hiai_cpu_face_headpose.pb 4
- # ml_noya_tts_melgan.pb If the input range is adjusted to [- 1,1], the fp16 error can be reduced to 38.9512%
- ml_noya_tts_melgan.pb;16,16,80 70
- bolt_segment.pb 2
- siteAI_wireless_depress_w.pb;1,36 0.5
- siteAI_wireless_restore_w.pb;1,36 0.5
- siteAI_trans_nonlinear.pb;1,137 0.5
- siteAI_trans_nonlinear40g.pb;1,271 0.5
- siteAI_trans_nonlinear134g.pb;1,137 0.5
- siteAI_trans_nonlinear134g_nrz.pb;1,182 0.5
- ml_vision_guide_detection2.pb;1,320,320,1 1
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