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nu = %f
epsilon = %f
obj = %f, rho = %f
nSV = %d, nBSV = %d
wCsvm_type %s
kernel_type %s
degree %d
gamma %.17g
coef0 %.17g
nr_class %d
total_sv %d
 %.17g %dSV
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unknown svm typeunknown kernel typegamma < 0cache_size <= 0eps <= 0C <= 0nu <= 0 or nu > 1p < 0specified nu is infeasiblecould not open file: %s
%s%s_bagging_stddev_ci_p95_lo_ci_p95_hivmaf_v0.6.1no such built-in model: "%s"
.pklvmaffalseenable_chromafloat_ssimfloat_ms_ssimproblem during read_frame
problem reading pictures
problem flushing context
jsoncsvsubuse default log_fmt xmlcould not write output: %s
linearpolynomialrbfsigmoidprecomputedc_svcnu_svcone_classepsilon_svrnu_svrvmaf_b_v0.6.3vmaf_v0.6.1negvmaf_4k_v0.6.1`���� �p�D�T�����$������������H���5SVR_Q11ONE_CLASS_Q5SVC_Q9Solver_NU6Solver7QMatrix6Kernel
WARNING: using -h 0 may be faster

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optimization finished, #iter = %d
Model doesn't contain information for SVR probability inference
Exceeds max_iter in multiclass_prob
Prob. model for test data: target value = predicted value + z,
z: Laplace distribution e^(-|z|/sigma)/(2sigma),sigma= %g
WARNING: training data in only one class. See README for details.
WARNING: class label %d specified in weight is not found
Line search fails in two-class probability estimates
Reaching maximal iterations in two-class probability estimates
WARNING: # folds > # data. Will use # folds = # data instead (i.e., leave-one-out cross validation)
degree of polynomial kernel < 0shrinking != 0 and shrinking != 1probability != 0 and probability != 1one-class SVM probability output not supported yetcould not initialize feature extractor "%s"
could not read model from path: "%s"
support for pkl model files has been removed, use json
no such built-in model collection: "%s"
could not read model collection from path: "%s"
`compute_vmaf()` is deprecated and will be removed in a future libvmaf version
problem initializing VMAF context
problem loading model file: %s
problem loading feature extractors from model file: %s
problem loading feature extractor: psnr
problem loading feature extractor: ssim
problem loading feature extractor: ms_ssim
problem allocating picture memory
problem generating pooled VMAF score
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	/"true%slibvmaf%s %s%s%s Failed to read svm_type.Failed to read kernel_type.Found unknown kernel_typedegreeFailed to read degree.gammaFailed to read gamma.coef0Failed to read coef0.nr_classFailed to read nr_class.total_svFailed to read total_sv.Failed to read rhoFailed to read labelFailed to read probAFailed to read probBFailed to read nr_svUnknown text in model fileSVFailed to read SVsFailed to read support vectorERROR: %sFound unknown svm_typeFrame,%s,%d,%.6f,{%d}{%d}frame: %d|%s: %.6f|<VMAF version="%s">
  <fyi fps="%.2f" />
  <frames>
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  <pooled_metrics>
  </pooled_metrics>
  <aggregate_metrics     <metric name="%s" </VMAF>
  "version": "%s",
  "frames": [    {
      "frameNum": %d,
      "metrics": {
      }
    }        "%s": %.6f%s
        "%s": null%s
  ],
  "pooled_metrics": {
  },
  "aggregate_metrics": {    "%s": {      "%s": %.6f      "%s": null
  }

    "%s": %.6f
    "%s": null%s: %s
model_dictscore_transformenabledknotsout_lte_inout_gte_inmodel_typeRESIDUEBOOTSTRAP_LIBSVMNUSVRnorm_typelinear_rescalenonescore_clipslopesinterceptsfeature_namesfeature_opts_dictsmodel%s_%04dERRORWARNINGINFODEBUGmaxexpected '%c' instead of byte '%c'invalid escape Unicode byte '%c'expected digit instead of byte '%c'unterminated string literal in escapeunterminated string literal in Unicodeinvalid continuation for surrogate pair '%c', expected '\'invalid continuation for surrogate pair '%c', expected 'u'surrogate pair continuation \u%04lx out of range (dc00-dfff)unable to encode %06lx as UTF-8unexpected byte '%c' in numberexpected end of text instead of byte '%c'Failed to parse SV coefficient  <params qualityWidth="%d" qualityHeight="%d" />
feature extractor "%s" registered with %d opts
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Window size to compute CAMBI: 63 corresponds to ~1 degree at 4kRatio of pixels for the spatial pooling computation, must be 0 > topk >= 1.0Visibilty threshold for luminance ΔL < tvi_threshold*L_mean for BT.1886VMAF_integer_feature_vif_scale0_scoreVMAF_integer_feature_vif_scale1_scoreVMAF_integer_feature_vif_scale2_scoreVMAF_integer_feature_vif_scale3_scoredebug mode: enable additional outputenhancement gain imposed on vif, must be >= 1.0, where 1.0 means the gain is completely disabledVMAF_integer_feature_motion_scoreVMAF_integer_feature_motion2_scoreVMAF_integer_feature_adm2_scoreenhancement gain imposed on adm, must be >= 1.0, where 1.0 means the gain is completely disablednormalized viewing distance = viewing distance / ref display's physical heightreference display height in pixelsenable luminance, contrast and structure intermediate outputenable calculation for chroma channelsreduce hbd peak value to align with scaled 8-bit contentconstrain the minimum possible sse�?8�<���>=���>�@�A�C�������?0?@���?-DT�!	@�f@��?�)��h�?���? σ�?@RD�?4@@P�@:�0�yE>@A`A@�?A��? ��?�A���AD��ؗ�Ҝ< ��@�������?��������������������������������hhhhhhhhhhhhhhhhP
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error: ms_ssim is INFINITY.
basic_string::_M_createinteger_adm_scale0integer_adm_scale1integer_adm_scale2integer_adm_scale3integer_adminteger_adm_numinteger_adm_deninteger_adm_num_scale0integer_adm_den_scale0integer_adm_num_scale1integer_adm_den_scale1integer_adm_num_scale2integer_adm_den_scale2integer_adm_num_scale3integer_adm_den_scale3integer_vifinteger_vif_numinteger_vif_deninteger_vif_num_scale0integer_vif_den_scale0integer_vif_num_scale1integer_vif_den_scale1integer_vif_num_scale2integer_vif_den_scale2integer_vif_num_scale3integer_vif_den_scale3float_ssim_lfloat_ssim_cfloat_ssim_sfloat_ms_ssim_l_scale0float_ms_ssim_l_scale1float_ms_ssim_l_scale2float_ms_ssim_l_scale3float_ms_ssim_l_scale4float_ms_ssim_c_scale0float_ms_ssim_c_scale1float_ms_ssim_c_scale2float_ms_ssim_c_scale3float_ms_ssim_c_scale4float_ms_ssim_s_scale0float_ms_ssim_s_scale1float_ms_ssim_s_scale2float_ms_ssim_s_scale3float_ms_ssim_s_scale4../src/feature/iqa/ssim_tools.cerror: for ssim, ref_stride (%d) != dis_stride (%d) bytes.
error: unable to malloc ref_f or cmp_f.
error: unable to malloc low-pass filter kernel.
error: decimation fails on ref_f or cmp_f.
error: for ms_ssim, ref_stride (%d) != dis_stride (%d) bytes.
error: unable to malloc ref_imgs or cmp_imgs.
error: unable to _alloc_buffers on ref_imgs.
error: unable to _alloc_buffers on cmp_imgs.
error: decimation fails on ref_imgs or cmp_imgs.
basic_string::_M_construct null not validfeature "%s" cannot be overwritten at index %d
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                "vif_scale1",
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                "vif_scale3",
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}?L{
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        "feature_dict": {
            "VMAF_integer_feature": [
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                "vif_scale1",
                "vif_scale2",
                "vif_scale3",
                "adm2",
                "motion2"
            ]
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    }
}3={
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        "param_dict": {
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                "out_gte_in": "true",
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            "num_models": 21,
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        "model_dict": {
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                "VMAF_integer_feature_motion2_score",
                "VMAF_integer_feature_vif_scale0_score",
                "VMAF_integer_feature_vif_scale1_score",
                "VMAF_integer_feature_vif_scale2_score",
                "VMAF_integer_feature_vif_scale3_score"
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            "model_type": "BOOTSTRAP_LIBSVMNUSVR",
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            "num_models": 21,
            "nu": 0.9,
            "gamma": 0.04
        },
        "model_dict": {
            "score_transform": {
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                "out_gte_in": "true",
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            "feature_dict": {
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            "score_transform": {
                "p2": -0.00705305,
                "out_gte_in": "true",
                "p0": 1.70674692,
                "p1": 1.72643844
            },
            "feature_dict": {
                "VMAF_integer_feature": [
                    "vif_scale0",
                    "vif_scale1",
                    "vif_scale2",
                    "vif_scale3",
                    "adm2",
                    "motion2"
                ]
            },
            "norm_type": "linear_rescale",
            "score_clip": [
                0.0,
                100.0
            ],
            "feature_names": [
                "VMAF_integer_feature_adm2_score",
                "VMAF_integer_feature_motion2_score",
                "VMAF_integer_feature_vif_scale0_score",
                "VMAF_integer_feature_vif_scale1_score",
                "VMAF_integer_feature_vif_scale2_score",
                "VMAF_integer_feature_vif_scale3_score"
            ],
            "intercepts": [
                -0.3092981927591963,
                -1.778561646908718,
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                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
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            "model_type": "BOOTSTRAP_LIBSVMNUSVR",
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    "5": {
        "param_dict": {
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            "num_models": 21,
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                "VMAF_integer_feature": [
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                    "vif_scale1",
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                    "vif_scale3",
                    "adm2",
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                "VMAF_integer_feature_vif_scale0_score",
                "VMAF_integer_feature_vif_scale1_score",
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            "gamma": 0.04
        },
        "model_dict": {
            "score_transform": {
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                "out_gte_in": "true",
                "p0": 1.70674692,
                "p1": 1.72643844
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            "feature_dict": {
                "VMAF_integer_feature": [
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            "score_clip": [
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                "VMAF_integer_feature_motion2_score",
                "VMAF_integer_feature_vif_scale0_score",
                "VMAF_integer_feature_vif_scale1_score",
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            "slopes": [
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    "7": {
        "param_dict": {
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            "num_models": 21,
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                "VMAF_integer_feature_vif_scale0_score",
                "VMAF_integer_feature_vif_scale1_score",
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                    "vif_scale2",
                    "vif_scale3",
                    "adm2",
                    "motion2"
                ]
            },
            "norm_type": "linear_rescale",
            "score_clip": [
                0.0,
                100.0
            ],
            "feature_names": [
                "VMAF_integer_feature_adm2_score",
                "VMAF_integer_feature_motion2_score",
                "VMAF_integer_feature_vif_scale0_score",
                "VMAF_integer_feature_vif_scale1_score",
                "VMAF_integer_feature_vif_scale2_score",
                "VMAF_integer_feature_vif_scale3_score"
            ],
            "intercepts": [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            "model_type": "BOOTSTRAP_LIBSVMNUSVR",
            "model": "svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 212\nrho -0.953329\nSV\n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n-4 1:0.77257175 2:0.08765484 3:0.5597726 4:0.80653689 5:0.88996341 6:0.92691132 \n4 1:0.56142653 2:0.49739676 3:0.24752355 4:0.28326524 5:0.33261781 6:0.37104424 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n-4 1:0.71258735 2:0.22767235 3:0.1864032 4:0.58471122 5:0.67581508 6:0.72558613 \n-4 1:0.57776221 2:0.08765484 3:0.42071301 4:0.56376512 5:0.66454599 6:0.741236 \n4 1:0.66777856 2:0.42532178 3:0.30879992 4:0.60375124 5:0.70097073 6:0.75507206 \n-4 1:0.73815918 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n4 1:0.98791521 2:0.04579546 3:0.90293444 4:0.99181622 5:0.99642641 6:0.9978864 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 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5:0.92200942 6:0.94454256 \n-4 1:0.54042467 2:0.15600331 3:0.046271684 4:0.4328793 5:0.5309142 6:0.59282089 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n4 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n-4 1:0.84127012 2:0.014623935 3:0.81253935 4:0.95982371 5:0.98309178 6:0.9870796 \n4 1:0.89291952 2:0.16787772 3:0.69408521 4:0.91495146 5:0.94890261 6:0.96269344 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n4 1:0.78020364 2:0.23066177 3:0.50145055 4:0.66525882 5:0.74327951 6:0.79017822 \n-4 1:0.73815918 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n4 1:0.89291952 2:0.16787772 3:0.69408521 4:0.91495146 5:0.94890261 6:0.96269344 \n-4 1:0.69004118 2:0.23066177 3:0.43933868 4:0.56327049 5:0.65339511 6:0.71348696 \n0.5841343749640862 1:0.6483368 2:0.04579546 3:0.45989947 4:0.82115248 5:0.92520734 6:0.9594384 \n-4 1:0.65966561 2:0.20820673 3:0.27420721 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                "out_gte_in": "true",
                "p0": 1.70674692,
                "p1": 1.72643844
            },
            "feature_dict": {
                "VMAF_integer_feature": [
                    "vif_scale0",
                    "vif_scale1",
                    "vif_scale2",
                    "vif_scale3",
                    "adm2",
                    "motion2"
                ]
            },
            "norm_type": "linear_rescale",
            "score_clip": [
                0.0,
                100.0
            ],
            "feature_names": [
                "VMAF_integer_feature_adm2_score",
                "VMAF_integer_feature_motion2_score",
                "VMAF_integer_feature_vif_scale0_score",
                "VMAF_integer_feature_vif_scale1_score",
                "VMAF_integer_feature_vif_scale2_score",
                "VMAF_integer_feature_vif_scale3_score"
            ],
            "intercepts": [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            "model_type": "BOOTSTRAP_LIBSVMNUSVR",
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    "12": {
        "param_dict": {
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            "score_transform": {
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                "out_gte_in": "true",
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            "score_clip": [
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            "num_models": 21,
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        "model_dict": {
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                "p1": 1.72643844
            },
            "feature_dict": {
                "VMAF_integer_feature": [
                    "vif_scale0",
                    "vif_scale1",
                    "vif_scale2",
                    "vif_scale3",
                    "adm2",
                    "motion2"
                ]
            },
            "norm_type": "linear_rescale",
            "score_clip": [
                0.0,
                100.0
            ],
            "feature_names": [
                "VMAF_integer_feature_adm2_score",
                "VMAF_integer_feature_motion2_score",
                "VMAF_integer_feature_vif_scale0_score",
                "VMAF_integer_feature_vif_scale1_score",
                "VMAF_integer_feature_vif_scale2_score",
                "VMAF_integer_feature_vif_scale3_score"
            ],
            "intercepts": [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            "model_type": "BOOTSTRAP_LIBSVMNUSVR",
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            "feature_dict": {
                "VMAF_integer_feature": [
                    "vif_scale0",
                    "vif_scale1",
                    "vif_scale2",
                    "vif_scale3",
                    "adm2",
                    "motion2"
                ]
            },
            "norm_type": "linear_rescale",
            "score_clip": [
                0.0,
                100.0
            ],
            "feature_names": [
                "VMAF_integer_feature_adm2_score",
                "VMAF_integer_feature_motion2_score",
                "VMAF_integer_feature_vif_scale0_score",
                "VMAF_integer_feature_vif_scale1_score",
                "VMAF_integer_feature_vif_scale2_score",
                "VMAF_integer_feature_vif_scale3_score"
            ],
            "intercepts": [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            "model_type": "BOOTSTRAP_LIBSVMNUSVR",
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            "score_clip": [
                0.0,
                100.0
            ],
            "feature_names": [
                "VMAF_integer_feature_adm2_score",
                "VMAF_integer_feature_motion2_score",
                "VMAF_integer_feature_vif_scale0_score",
                "VMAF_integer_feature_vif_scale1_score",
                "VMAF_integer_feature_vif_scale2_score",
                "VMAF_integer_feature_vif_scale3_score"
            ],
            "intercepts": [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            "model_type": "BOOTSTRAP_LIBSVMNUSVR",
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\n2.496021656464428 1:0.37333711 2:0.23066177 3:0.29022709 4:0.26882214 5:0.30809596 6:0.35304275 \n4 1:0.90420201 2:0.15600331 3:0.19693206 4:0.86294641 5:0.92990351 6:0.95498998 \n-4 1:0.52033349 2:0.48885268 3:0.27824915 4:0.42915458 5:0.50850476 6:0.58585271 \n-4 1:0.65966561 2:0.20820673 3:0.27420721 4:0.57889989 5:0.68485118 6:0.74837036 \n-4 1:0.57776221 2:0.08765484 3:0.42071301 4:0.56376512 5:0.66454599 6:0.741236 \n4 1:0.92683589 2:0.48885268 3:0.55208861 4:0.89938377 5:0.94642982 6:0.96615102 \n4 1:0.62552631 2:0.49739676 3:0.30895604 4:0.40532955 5:0.48355121 6:0.54476585 \n4 1:0.70099226 2:0.20820673 3:0.31094767 4:0.6676259 5:0.77726116 6:0.83518027 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n4 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n4 1:0.85877443 2:0.42532178 3:0.43562507 4:0.80721931 5:0.87934044 6:0.91434143 \n4 1:0.54792627 2:0.055921852 3:0.26207179 4:0.59416461 5:0.75957205 6:0.82870539 \n-4 1:0.78167533 2:0.15600331 3:0.11289462 4:0.67598462 5:0.78117168 6:0.83259364 \n-4 1:0.80929502 2:0.08765484 3:0.52947327 4:0.7501341 5:0.82294191 6:0.86264385 \n-4 1:0.38478895 2:0.083369236 3:0.28184137 4:0.37025203 5:0.46733936 6:0.53517338 \n-4 1:0.82949905 2:0.047285912 3:0.51559706 4:0.90512389 5:0.93743101 6:0.9492968 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n-4 1:0.70997536 2:0.083369236 3:0.42718441 4:0.69347659 5:0.81124449 6:0.87136343 \n4 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n4 1:0.75700132 2:1 3:0.28883701 4:0.65284485 5:0.75623242 6:0.81297442 \n-4 1:0.77257175 2:0.08765484 3:0.5597726 4:0.80653689 5:0.88996341 6:0.92691132 \n4 1:0.83017845 2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n-4 1:0.62949718 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n3.503978343535571 1:0.32027025 2:0.49739676 3:0.17094319 4:0.12195679 5:0.13277563 6:0.14165413 \n-4 1:0.73985421 2:0.04579546 3:0.499439 4:0.84012074 5:0.90229375 6:0.92936693 \n4 1:0.62437406 2:1 3:0.18559792 4:0.41535212 5:0.50422336 6:0.56173557 \n-4 1:0.4874691 2:0.23066177 3:0.32329421 4:0.33686197 5:0.39456977 6:0.44944683 \n4 1:0.62552631 2:0.49739676 3:0.30895604 4:0.40532955 5:0.48355121 6:0.54476585 \n4 1:0.39257764 2:0.22767235 3:0.12019254 4:0.3951559 5:0.44657802 6:0.46771549 \n-4 1:0.69816754 2:0.34681232 3:0.11526222 4:0.68549511 5:0.78556255 6:0.83507583 \n-4 1:0.69891028 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n4 1:0.72746732 2:0.23066177 3:0.43952897 4:0.55736023 5:0.63319876 6:0.68402869 \n4 1:0.87998127 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n4 1:0.77998422 2:0.49739676 3:0.43832146 4:0.63397606 5:0.7240692 6:0.78367237 \n4 1:0.7890525 2:0.20820673 3:0.3510016 4:0.74206651 5:0.83508543 6:0.88101902 \n-4 1:0.4874691 2:0.23066177 3:0.32329421 4:0.33686197 5:0.39456977 6:0.44944683 \n-4 1:0.69518774 2:0.20629643 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                "VMAF_integer_feature": [
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                    "vif_scale1",
                    "vif_scale2",
                    "vif_scale3",
                    "adm2",
                    "motion2"
                ]
            },
            "norm_type": "linear_rescale",
            "score_clip": [
                0.0,
                100.0
            ],
            "feature_names": [
                "VMAF_integer_feature_adm2_score",
                "VMAF_integer_feature_motion2_score",
                "VMAF_integer_feature_vif_scale0_score",
                "VMAF_integer_feature_vif_scale1_score",
                "VMAF_integer_feature_vif_scale2_score",
                "VMAF_integer_feature_vif_scale3_score"
            ],
            "intercepts": [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            "model_type": "BOOTSTRAP_LIBSVMNUSVR",
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            "slopes": [
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        }
    }
}�J{
    "param_dict": {
        "C": 4.0,
        "score_transform": {
            "p2": -0.00705305,
            "out_gte_in": "true",
            "p0": 1.70674692,
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        "score_clip": [
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        "gamma": 0.04
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        "score_transform": {
            "p2": -0.00705305,
            "out_gte_in": "true",
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            "p1": 1.72643844
        },
        "norm_type": "linear_rescale",
        "score_clip": [
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        "feature_names": [
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            "VMAF_integer_feature_motion2_score",
            "VMAF_integer_feature_vif_scale0_score",
            "VMAF_integer_feature_vif_scale1_score",
            "VMAF_integer_feature_vif_scale2_score",
            "VMAF_integer_feature_vif_scale3_score"
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                "vif_scale1",
                "vif_scale2",
                "vif_scale3",
                "adm2",
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            ]
        }
    }
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