2820 lines
730 KiB
Plaintext
2820 lines
730 KiB
Plaintext
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@ ˆÃ@ €„.A{®Gáz„?{®Gáz„¿ `X@{®Gáz”? ,E[ 1N Ž × ]€ö é €´ €€| t—
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—K ]€ö é €´ €€| t—
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—K6Kernel 7QMatrix 6Solver 9Solver_NU 5SVC_Q 11ONE_CLASS_Q 5SVR_Q ê-�™—q= ÿÿÿÿñh㈵øä>-C ëâ6?H¯¼šò×z>ËPÊÿÿï?{®Gázt? ð? ð? 0 6666666
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ÿÿÿÿÿÿÿÿ log2_64 integer_vif.h temp >= 0x20000 psnr psnr_y psnr_cb psnr_cr mse_y mse_cb mse_cr apsnr_y apsnr_cb apsnr_cr enable_chroma enable calculation for chroma channels enable_mse enable MSE calculation enable_apsnr enable APSNR calculation reduced_hbd_peak reduce hbd peak value to align with scaled 8-bit content min_sse constrain the minimum possible sse psnr_hvs %s: invalid bitdepth (%d), bpc must be less than or equal to 12
|
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|
|
psnr_hvs_y psnr_hvs_cb psnr_hvs_cr picture buf_type mismatch: cuda fex (%s), cpu buf
|
|||
|
|
picture buf_type mismatch: cpu fex (%s), cuda buf
|
|||
|
|
problem with feature extractor "%s" at index %d
|
|||
|
|
%s true false %d %g _%s _%s_%s VMAF_feature_adm2_score adm2 VMAF_feature_adm_scale0_score adm_scale0 VMAF_feature_adm_scale1_score adm_scale1 VMAF_feature_adm_scale2_score adm_scale2 VMAF_feature_adm_scale3_score adm_scale3 VMAF_feature_motion_score motion VMAF_feature_motion2_score motion2 VMAF_feature_vif_scale0_score vif_scale0 VMAF_feature_vif_scale1_score vif_scale1 VMAF_feature_vif_scale2_score vif_scale2 VMAF_feature_vif_scale3_score vif_scale3 VMAF_integer_feature_adm2_score integer_adm2 VMAF_integer_feature_motion_score integer_motion VMAF_integer_feature_motion2_score integer_motion2 VMAF_integer_feature_vif_scale0_score integer_vif_scale0 VMAF_integer_feature_vif_scale1_score integer_vif_scale1 VMAF_integer_feature_vif_scale2_score integer_vif_scale2 VMAF_integer_feature_vif_scale3_score integer_vif_scale3 adm %s: invalid size (%dx%d), width/height must be greater than 32
|
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|
|
integer_adm_scale0 integer_adm_scale1 integer_adm_scale2 integer_adm_scale3 integer_adm integer_adm_num integer_adm_den integer_adm_num_scale0 integer_adm_den_scale0 integer_adm_num_scale1 integer_adm_den_scale1 integer_adm_num_scale2 integer_adm_den_scale2 integer_adm_num_scale3 integer_adm_den_scale3 debug debug mode: enable additional output adm_enhn_gain_limit enhancement gain imposed on adm, must be >= 1.0, where 1.0 means the gain is completely disabled egl adm_norm_view_dist normalized viewing distance = viewing distance / ref display's physical height nvd adm_ref_display_height reference display height in pixels rdh feature "%s" cannot be overwritten at index %d
|
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|
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motion_force_zero forcing motion score to zero force_0 vif integer_vif integer_vif_num integer_vif_den integer_vif_num_scale0 integer_vif_den_scale0 integer_vif_num_scale1 integer_vif_den_scale1 integer_vif_num_scale2 integer_vif_den_scale2 integer_vif_num_scale3 integer_vif_den_scale3 vif_enhn_gain_limit enhancement gain imposed on vif, must be >= 1.0, where 1.0 means the gain is completely disabled ciede ciede2000 float_ssim float_ssim_l float_ssim_c float_ssim_s enable_lcs enable luminance, contrast and structure intermediate output enable_db write SSIM values as dB clip_db clip dB scores float_ms_ssim float_ms_ssim_l_scale0 float_ms_ssim_l_scale1 float_ms_ssim_l_scale2 float_ms_ssim_l_scale3 float_ms_ssim_l_scale4 float_ms_ssim_c_scale0 float_ms_ssim_c_scale1 float_ms_ssim_c_scale2 float_ms_ssim_c_scale3 float_ms_ssim_c_scale4 float_ms_ssim_s_scale0 float_ms_ssim_s_scale1 float_ms_ssim_s_scale2 float_ms_ssim_s_scale3 float_ms_ssim_s_scale4 write MS-SSIM values as dB error: 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: ms_ssim is INFINITY. error: decimation fails on ref_imgs or cmp_imgs. error: unable to _alloc_buffers on cmp_imgs. error: unable to _alloc_buffers on ref_imgs. error: scale below 1x1! _iqa_ssim ssim_tools.c !args _iqa_convolve convolve.c 0 _calc_scale cambi %s%ccambi_heatmap_scale_%d_%dx%d_16b.gray w cambi: could not open heatmaps_path: %s
|
|||
|
|
cambi_source cambi_full_reference enc_width Encoding width enc_height Encoding height enc_bitdepth Encoding bitdepth src_width Source width. Only used when full_ref=true. src_height Source height. Only used when full_ref=true. window_size Window size to compute CAMBI: 63 corresponds to ~1 degree at 4k topk Ratio of pixels for the spatial pooling computation, must be 0 < topk <= 1.0 tvi_threshold Visibilty threshold for luminance ΔL < tvi_threshold*L_mean max_log_contrast Maximum contrast in log luma level (2^max_log_contrast) at 10-bits, e.g., 2 is equivalent to 4 luma levels at 10-bit and 1 luma level at 8-bit. From 0 to 5: default 2 is recommended for banding from compression. heatmaps_path Path where heatmaps will be dumped. full_ref If true, CAMBI will be run in full-reference mode and will be computed on both the reference and distorted inputs eotf Determines the EOTF used to compute the visibility thresholds. Possible values: ['bt1886', 'pq']. Default: 'bt1886' bt1886 pq unknown EOTF received unknown pixel range received null could not initialize feature extractor "%s"
|
|||
|
|
_ci_p95_lo _ci_p95_hi _bagging _stddev %s%s 3.0.0 could not open file: %s
|
|||
|
|
vmaf_predict_score_at_index(): no feature extractor providing feature '%s'
|
|||
|
|
vmaf_predict_score_at_index(): could not generate feature extractor context
|
|||
|
|
vmaf_predict_score_at_index(): could not generate feature name
|
|||
|
|
vmaf_predict_score_at_index(): no feature '%s' at index %d
|
|||
|
|
no such built-in model: "%s"
|
|||
|
|
vmaf could not read model from path: "%s"
|
|||
|
|
.pkl 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"
|
|||
|
|
vmaf_v0.6.1 vmaf_b_v0.6.3 vmaf_v0.6.1neg vmaf_4k_v0.6.1 vmaf_4k_v0.6.1neg
|
|||
|
|
WARNING: using -h 0 may be faster
|
|||
|
|
. *
|
|||
|
|
WARNING: reaching max number of iterations
|
|||
|
|
|
|||
|
|
optimization finished, #iter = %d
|
|||
|
|
WARNING: training data in only one class. See README for details.
|
|||
|
|
WARNING: class label %d specified in weight is not found
|
|||
|
|
Total nSV = %d
|
|||
|
|
WARNING: # folds > # data. Will use # folds = # data instead (i.e., leave-one-out cross validation)
|
|||
|
|
Model doesn't contain information for SVR probability inference
|
|||
|
|
C svm_type %s
|
|||
|
|
kernel_type %s
|
|||
|
|
degree %d
|
|||
|
|
gamma %.17g
|
|||
|
|
coef0 %.17g
|
|||
|
|
nr_class %d
|
|||
|
|
total_sv %d
|
|||
|
|
rho %.17g label %d probA probB nr_sv SV
|
|||
|
|
%.17g 0:%d %d:%.8g unknown svm type unknown kernel type gamma < 0 degree of polynomial kernel < 0 cache_size <= 0 eps <= 0 C <= 0 nu <= 0 or nu > 1 p < 0 shrinking != 0 and shrinking != 1 probability != 0 and probability != 1 one-class SVM probability output not supported yet specified nu is infeasible Prob. model for test data: target value = predicted value + z,
|
|||
|
|
z: Laplace distribution e^(-|z|/sigma)/(2sigma),sigma= %g
|
|||
|
|
obj = %f, rho = %f
|
|||
|
|
nSV = %d, nBSV = %d
|
|||
|
|
nu = %f
|
|||
|
|
C = %f
|
|||
|
|
epsilon = %f
|
|||
|
|
Line search fails in two-class probability estimates
|
|||
|
|
Reaching maximal iterations in two-class probability estimates
|
|||
|
|
Exceeds max_iter in multiclass_prob
|
|||
|
|
c_svc nu_svc one_class epsilon_svr nu_svr linear polynomial rbf sigmoid precomputed basic_string ERROR: %s SV svm_type Failed to read svm_type. Found unknown svm_type kernel_type Failed to read kernel_type. Found unknown kernel_type degree Failed to read degree. gamma Failed to read gamma. coef0 Failed to read coef0. nr_class Failed to read nr_class. total_sv Failed to read total_sv. Failed to read rho Failed to read label Failed to read probA Failed to read probB Failed to read nr_sv Unknown text in model file Failed to read SVs Failed to parse SV coefficient Failed to read support vector vector <VMAF version="%s">
|
|||
|
|
<params qualityWidth="%d" qualityHeight="%d" />
|
|||
|
|
<fyi fps="%.2f" />
|
|||
|
|
<frames>
|
|||
|
|
<frame frameNum="%d" %s="%.6f" />
|
|||
|
|
</frames>
|
|||
|
|
<pooled_metrics>
|
|||
|
|
<metric name="%s" </pooled_metrics>
|
|||
|
|
<aggregate_metrics </VMAF>
|
|||
|
|
{
|
|||
|
|
"version": "%s",
|
|||
|
|
"fps": %.2f,
|
|||
|
|
"fps": null,
|
|||
|
|
"frames": [ ,
|
|||
|
|
|
|||
|
|
{
|
|||
|
|
"frameNum": %d,
|
|||
|
|
"metrics": {
|
|||
|
|
"%s": %.6f%s
|
|||
|
|
, "%s": null%s }
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"pooled_metrics": { "%s": { "%s": %.6f "%s": null
|
|||
|
|
},
|
|||
|
|
"aggregate_metrics": {
|
|||
|
|
"%s": %.6f
|
|||
|
|
"%s": null
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
Frame, %s, %d, %.6f, {%d}{%d}frame: %d| %s: %.6f| min max mean harmonic_mean feature extractor "%s" registered with %d opts
|
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|
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|
|||
|
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|
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|
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|
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"param_dict": {
|
|||
|
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"C": 4.0,
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|
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|
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"p1": 1.72643844
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|
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},
|
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"norm_type": "clip_0to1",
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"score_clip": [
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0.0,
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100.0
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],
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"nu": 0.9,
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|
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"gamma": 0.04
|
|||
|
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},
|
|||
|
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"model_dict": {
|
|||
|
|
"model": "svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 211\nrho -1.33133\nSV\n-4 1:0.65734273 2:0.34681232 3:0.093755557 4:0.60913934 5:0.69117362 6:0.73495824 \n4 1:0.8727433 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n4 1:0.89890005 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n4 1:0.20371751 2:0.49612229 3:0.10534315 4:-1.110223e-16 6:2.220446e-16 \n4 1:0.33913836 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n4 1:0.66426757 2:0.49612229 3:0.35268026 4:0.4805681 5:0.59603341 6:0.67408692 \n4 1:0.59561632 2:0.49612229 3:0.27561601 4:0.33977371 5:0.4325213 6:0.50244952 \n4 1:0.50821444 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n4 1:0.77877298 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n4 1:0.71666017 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n4 1:0.64025669 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n4 1:0.88343983 2:0.23066177 3:0.65873851 4:0.86090402 5:0.90661213 6:0.93008753 \n4 1:0.90822691 2:0.23066177 3:0.71439481 4:0.90904598 5:0.94146542 6:0.95674338 \n-4 1:0.49037399 2:0.23066177 3:0.32329421 4:0.33686197 5:0.39456977 6:0.44944683 \n-4 1:0.69044383 2:0.23066177 3:0.43933868 4:0.56327049 5:0.65339511 6:0.71348696 \n-4 1:0.62390093 2:0.23066177 3:0.3800888 4:0.44927578 5:0.52327759 6:0.57907725 \n4 1:0.81887942 2:0.23066177 3:0.56208506 4:0.76164281 5:0.83176644 6:0.86914911 \n4 1:0.77189471 2:0.23066177 3:0.50145055 4:0.66525882 5:0.74327951 6:0.79017822 \n4 1:0.71405433 2:0.23066177 3:0.43952897 4:0.55736023 5:0.63319876 6:0.68402869 \n4 1:0.92114073 3:0.45198963 4:0.97703695 5:0.9907273 6:0.99510256 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n4 4:0.10344019 5:0.34323945 6:0.63855969 \n4 1:0.19531482 3:0.034330388 4:0.25480402 5:0.54197045 6:0.78020579 \n4 1:0.48394064 3:0.11866359 4:0.58816959 5:0.86435738 6:0.96191842 \n4 1:0.47628079 3:0.11185039 4:0.56180003 5:0.83415721 6:0.93617329 \n4 1:0.46278632 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n4 1:0.7038079 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n4 1:0.69596686 3:0.20657211 4:0.81196884 5:0.94140702 6:0.96680805 \n4 1:0.68404358 3:0.19261438 4:0.76066415 5:0.89973293 6:0.93660362 \n4 1:0.84073022 2:0.34681232 3:0.22411304 4:0.88845644 5:0.94169671 6:0.96221395 \n-4 1:0.33900937 2:0.34681232 3:0.027607294 4:0.40659646 5:0.45456869 6:0.48256597 \n-4 1:0.44593129 2:0.34681232 3:0.041939301 4:0.45284872 5:0.5157613 6:0.55335821 \n-4 1:0.67301747 2:0.34681232 3:0.11526222 4:0.68549511 5:0.78556255 6:0.83507583 \n-4 1:0.62833533 2:0.34681232 3:0.092281981 4:0.61278125 5:0.70626575 6:0.75613977 \n-4 1:0.57196879 2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n-0.3312466607741135 1:0.75125028 2:0.34681232 3:0.1457048 4:0.75791308 5:0.84155109 6:0.88132116 \n-4 1:0.71121936 2:0.34681232 3:0.12095689 4:0.68834617 5:0.77453583 6:0.81892861 \n-4 1:0.80269544 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n-4 1:0.86095387 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n-4 1:0.5008963 2:0.25207203 3:0.2005129 4:0.41516485 5:0.45282017 6:0.47396143 \n-4 1:0.56977992 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n-4 1:0.72779828 2:0.25207203 3:0.3051639 4:0.67537297 5:0.75767261 6:0.80327187 \n-4 1:0.68848569 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n-4 1:0.64121401 2:0.25207203 3:0.23994344 4:0.52538719 5:0.5891732 6:0.62164073 \n-4 1:0.76673633 2:0.25207203 3:0.33053889 4:0.73085549 5:0.80341439 6:0.84546456 \n-4 1:0.73041172 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n-4 1:0.68529047 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n4 1:0.86902267 2:0.48885268 3:0.5143645 4:0.8587242 5:0.91841685 6:0.94498293 \n4 1:0.89266106 2:0.48885268 3:0.55208861 4:0.89938377 5:0.94642982 6:0.96615102 \n-4 1:0.42554844 2:0.48885268 3:0.2554221 4:0.36916892 5:0.43100226 6:0.50888404 \n-4 1:0.52520274 2:0.48885268 3:0.27824
|
|||
|
|
"score_transform": {
|
|||
|
|
"p2": -0.00705305,
|
|||
|
|
"out_gte_in": "true",
|
|||
|
|
"p0": 1.70674692,
|
|||
|
|
"p1": 1.72643844
|
|||
|
|
},
|
|||
|
|
"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,
|
|||
|
|
-1.7993968597186747,
|
|||
|
|
-0.003017198086831897,
|
|||
|
|
-0.1728125095425364,
|
|||
|
|
-0.5294309090081222,
|
|||
|
|
-0.7577185792093722,
|
|||
|
|
-1.083428597549764
|
|||
|
|
],
|
|||
|
|
"model_type": "LIBSVMNUSVR",
|
|||
|
|
"slopes": [
|
|||
|
|
0.012020766332648465,
|
|||
|
|
2.8098077502505414,
|
|||
|
|
0.06264407466686016,
|
|||
|
|
1.222763456258933,
|
|||
|
|
1.5360318811084146,
|
|||
|
|
1.7620864995501058,
|
|||
|
|
2.08656468286432
|
|||
|
|
],
|
|||
|
|
"feature_dict": {
|
|||
|
|
"VMAF_integer_feature": [
|
|||
|
|
"vif_scale0",
|
|||
|
|
"vif_scale1",
|
|||
|
|
"vif_scale2",
|
|||
|
|
"vif_scale3",
|
|||
|
|
"adm2",
|
|||
|
|
"motion2"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
} �J {
|
|||
|
|
"0": {
|
|||
|
|
"param_dict": {
|
|||
|
|
"C": 4.0,
|
|||
|
|
"score_transform": {
|
|||
|
|
"p2": -0.00705305,
|
|||
|
|
"out_gte_in": "true",
|
|||
|
|
"p0": 1.70674692,
|
|||
|
|
"p1": 1.72643844
|
|||
|
|
},
|
|||
|
|
"norm_type": "clip_0to1",
|
|||
|
|
"score_clip": [
|
|||
|
|
0.0,
|
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|
|
100.0
|
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],
|
|||
|
|
"num_models": 21,
|
|||
|
|
"nu": 0.9,
|
|||
|
|
"gamma": 0.04
|
|||
|
|
},
|
|||
|
|
"model_dict": {
|
|||
|
|
"score_transform": {
|
|||
|
|
"p2": -0.00705305,
|
|||
|
|
"out_gte_in": "true",
|
|||
|
|
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|||
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|||
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|||
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|||
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|
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|
|||
|
|
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|||
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|
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|||
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|
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|||
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|
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|
|||
|
|
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|||
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|
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|||
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|||
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|
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|||
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|||
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|
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|
|||
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|
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|
|||
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|
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|||
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|||
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|||
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|
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|
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|
|||
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|
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|||
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|
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|
|||
|
|
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|||
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|
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|||
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|
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|
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|
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|||
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|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"VMAF_integer_feature_vif_scale3_score"
|
|||
|
|
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|||
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|
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|||
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|||
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|||
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|
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|||
|
|
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|
|||
|
|
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|||
|
|
"slopes": [
|
|||
|
|
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|||
|
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|
|||
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|||
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|||
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|
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|
|||
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|
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|
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|||
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|
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|||
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|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"vif_scale3",
|
|||
|
|
"adm2",
|
|||
|
|
"motion2"
|
|||
|
|
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|
|||
|
|
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|
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|||
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|
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|||
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|||
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|||
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|||
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|
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|||
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|
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|||
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|
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|
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|
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|
|||
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|
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|
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|
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|||
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|
|||
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|
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|
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|
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|
|||
|
|
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|
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|
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|||
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|
|||
|
|
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|||
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|||
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|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"vif_scale3",
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
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|
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|||
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|
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|||
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|
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|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"VMAF_integer_feature_vif_scale0_score",
|
|||
|
|
"VMAF_integer_feature_vif_scale1_score",
|
|||
|
|
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|
|||
|
|
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|
|||
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|||
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|||
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|||
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|||
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|||
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|||
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|
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|
|||
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|
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|
|||
|
|
"5": {
|
|||
|
|
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|
|||
|
|
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|
|||
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|||
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|
|||
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|||
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|||
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|||
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|||
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|
|||
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|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
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|||
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|||
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|||
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|||
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|
|||
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"vif_scale2",
|
|||
|
|
"vif_scale3",
|
|||
|
|
"adm2",
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|||
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|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"VMAF_integer_feature_vif_scale1_score",
|
|||
|
|
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|
|||
|
|
"VMAF_integer_feature_vif_scale3_score"
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
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|||
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|
|||
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"slopes": [
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|||
|
|
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|
|||
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|
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|
|||
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|
|||
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|||
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|||
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|||
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|
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|
|||
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|
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|
|||
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|
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|||
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|
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|||
|
|
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|||
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|||
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|
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|
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|||
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|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|||
|
|
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|
|||
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|
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|||
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|
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|
|||
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|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"vif_scale0",
|
|||
|
|
"vif_scale1",
|
|||
|
|
"vif_scale2",
|
|||
|
|
"vif_scale3",
|
|||
|
|
"adm2",
|
|||
|
|
"motion2"
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"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"
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|||
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|
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|||
|
|
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|||
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|
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|||
|
|
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|
|||
|
|
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|
|||
|
|
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|||
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|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
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|||
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|||
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|||
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|
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|
|||
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|
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|||
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|
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|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"vif_scale1",
|
|||
|
|
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|
|||
|
|
"vif_scale3",
|
|||
|
|
"adm2",
|
|||
|
|
"motion2"
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|||
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|
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|||
|
|
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|
|
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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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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
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|
|||
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|
|||
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|
|||
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"model_type": "BOOTSTRAP_LIBSVMNUSVR",
|
|||
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|||
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|
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|||
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|
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|||
|
|
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|
|||
|
|
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|
|||
|
|
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|||
|
|
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|||
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|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
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|||
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|||
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|
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|
|||
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|||
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|
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|||
|
|
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|||
|
|
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|||
|
|
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|
|||
|
|
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|
|||
|
|
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|||
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|
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|||
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|||
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|
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|||
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|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|
|||
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|||
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|
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|||
|
|
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|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|||
|
|
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|||
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|
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|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|||
|
|
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|||
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|||
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|
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|||
|
|
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|
|||
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|||
|
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|||
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|
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|
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|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"vif_scale1",
|
|||
|
|
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|
|||
|
|
"vif_scale3",
|
|||
|
|
"adm2",
|
|||
|
|
"motion2"
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|||
|
|
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|
|
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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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|
|||
|
|
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|
|||
|
|
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|||
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|||
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
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"model": "svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 211\nrho -1.00499\nSV\n-4 1:0.51012298 2:0.25207203 3:0.2005129 4:0.41516485 5:0.45282017 6:0.47396143 \n4 1:0.78020364 2:0.23066177 3:0.50145055 4:0.66525882 5:0.74327951 6:0.79017822 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n4 1:0.90420201 2:0.15600331 3:0.19693206 4:0.86294641 5:0.92990351 6:0.95498998 \n4 1:0.40588686 2:0.42532178 3:0.20589097 4:0.35241209 5:0.40358156 6:0.42577381 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n-4 1:0.51603659 2:1 3:0.14452095 4:0.31406915 5:0.38353445 6:0.42653517 \n4 1:0.78333908 2:0.20629643 3:0.24707248 4:0.72284103 5:0.83178838 6:0.88053503 \n4 1:0.79391726 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n4 1:0.29443857 2:0.055921852 3:0.19401703 4:0.41679982 5:0.61495039 6:0.74140301 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n-4 1:0.72319868 2:0.16787772 3:0.57600091 4:0.75310216 5:0.81471966 6:0.84249923 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n-4 1:0.40634904 2:0.04579546 3:0.35412414 4:0.55926446 5:0.70175505 6:0.79649177 \n4 1:0.40588686 2:0.42532178 3:0.20589097 4:0.35241209 5:0.40358156 6:0.42577381 \n-4 1:0.91951481 2:0.16787772 3:0.7239389 4:0.94244479 5:0.9681932 6:0.97806033 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n4 1:0.6092064 2:0.58937038 3:0.34931828 4:0.4519606 5:0.54893247 6:0.61355219 \n4 1:0.87998127 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n4 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n4 1:0.57348929 2:0.42532178 3:0.24033766 4:0.43855753 5:0.50243186 6:0.53322825 \n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n-4 1:0.54042467 2:0.15600331 3:0.046271684 4:0.4328793 5:0.5309142 6:0.59282089 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n-4 1:0.4874691 2:0.23066177 3:0.32329421 4:0.33686197 5:0.39456977 6:0.44944683 \n-4 1:0.43871049 2:0.15600331 3:0.030541611 4:0.37279112 5:0.4588284 6:0.52004828 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n-4 1:0.71167822 2:0.014623935 3:0.78422805 4:0.88268036 5:0.94383829 6:0.96596858 \n4 1:0.37333711 2:0.23066177 3:0.29022709 4:0.26882214 5:0.30809596 6:0.35304275 \n-1.020629759799599 1:0.71258735 2:0.22767235 3:0.1864032 4:0.58471122 5:0.67581508 6:0.72558613 \n-4 1:0.67240963 2:0.16787772 3:0.54473368 4:0.69254626 5:0.74796983 6:0.77177867 \n-4 1:0.66382463 2:0.93973481 3:0.28594627 4:0.63969879 5:0.73360583 6:0.78380069 \n4 1:0.89291952 2:0.16787772 3:0.69408521 4:0.91495146 5:0.94890261 6:0.96269344 \n4 1:0.70099226 2:0.20820673 3:0.31094767 4:0.6676259 5:0.77726116 6:0.83518027 \n-4 1:0.91951481 2:0.16787772 3:0.7239389 4:0.94244479 5:0.9681932 6:0.97806033 \n-4 1:0.69517962 2:0.083369236 3:0.36350305 4:0.54888271 5:0.66506794 6:0.73685112 \n4 1:0.70099226 2:0.20820673 3:0.31094767 4:0.6676259 5:0.77726116 6:0.83518027 \n4 1:0.73710984 2:0.23066177 3:0.49544357 4:0.66648649 5:0.76052819 6:0.81482311 \n4 1:0.85559183 2:0.20629643 3:0.30562098 4:0.80541317 5:0.89285836 6:0.92907353 \n4 1:0.71284767 2:0.22767235 3:0.2263303 4:0.68859985 5:0.78706365 6:0.83662428 \n-4 1:0.91785848 2:0.083369236 3:0.63999999 4:0.90398906 5:0.94897505 6:0.96762621 \n4 1:0.78101613 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n4 1:0.71284767 2:0.22767235 3:0.2263303 4:0.68859985 5:0.78706365 6:0.83662428 \n4 1:0.90795371 2:0.58937038 3:0.58823535 4:0.80035053 5:0.86988422 6:0.90533033 \n4 1:0.91341872 3:0.45198963 4:0.97703695 5:0.9907273 6:0.99510256 \n4 1:0.90057657 2:0.23066177 3:0.65873851 4:0.86090402 5:0.90661213 6:0.93008753 \n4 1:0.77998422 2:0.49739676 3:0.43832146 4
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"slopes": [
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0.012020766332648465,
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2.7863890579902773,
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