初始化项目
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ValRelOld/models/80x/v2/detection_final.lb
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ValRelOld/models/80x/v2/faceid-e3-v2.0.0rc3_r1/face_test.jpg
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ValRelOld/models/80x/v2/faceid-e3-v2.0.0rc3_r1/feature_test.jpg
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ValRelOld/models/80x/v2/faceid-e3-v2.0.0rc3_r1/model_recg.bin
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ValRelOld/models/80x/v2/faceid-e3-v2.0.0rc3_r1/quantize_out.bin
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ValRelOld/models/80x/v2/faceid-e3-v2.0.0rc3_r1/quantize_out.ezb
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ValRelOld/models/80x/v2/faceid-e3-v2.0.0rc3_r1/quantize_out.ezb
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ValRelOld/models/80x/v2/faceid-e3-v2.0.0rc3_r1/小机端特征分数.txt
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ValRelOld/models/80x/v2/faceid-e3-v2.0.0rc3_r1/小机端特征分数.txt
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[test_test_face_get_feats_from_image_file]
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opt.face_num = 1
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opt.face_num = 0.000000
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kpts: 140.000000:246.000000:243.000000:246.000000:192.000000:313.000000:157.000000:344.000000:233.000000:342.000000
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feat->norm[0] = 419.964294
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feat->norm[1] = 901.584717
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[test_test_face_get_feats_from_image_file]
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opt.face_num = 1
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opt.face_num = 0.000000
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kpts: 216.000000:244.000000:310.000000:249.000000:275.000000:300.000000:226.000000:349.000000:295.000000:352.000000
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feat->norm[0] = 426.939117
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feat->norm[1] = 797.652161
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[test_test_face_get_feats_from_image_file]
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opt.face_num = 1
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opt.face_num = 0.000000
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kpts: 182.000000:215.000000:280.000000:215.000000:238.000000:264.000000:194.000000:321.000000:273.000000:321.000000
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feat->norm[0] = 389.033417
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feat->norm[1] = 755.897461
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[test_test_face_compare2]
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flen =1024
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## face_compare2 score=0.779948
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[test_test_face_compare2_with_mask]
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flen =1024
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## face_compare2_with_mask score=0.451971
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ValRelOld/models/80x/v2/模型版本说明.md
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ValRelOld/models/80x/v2/模型版本说明.md
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##### 模型版本支持说明
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| 版本 v2: |
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| ---------------- |
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| faceid-e3-v2.0.0 |
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```
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非口罩人脸识别 + 口罩人脸识别
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4511857f2e19cd4ae2d9f3403b674a86 lib/sv806/model_recg.bin
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34ece85feb6981bb44e5e6971db05e08 lib/sv806/model_recg.ezb
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083a7b2c8faf16591cf79f8058d48f96 lib/sv806/quantize_out.bin
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3d31bb52cc1a4fec8f0d507fac44c5c1 lib/sv806/quantize_out.ezb
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```
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