mirror of
https://github.com/ayabusa/Rusty-slicer.git
synced 2024-11-25 04:13:24 +00:00
1472 lines
398 KiB
JSON
1472 lines
398 KiB
JSON
{
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"0": {
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"param_dict": {
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"C": 4.0,
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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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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"num_models": 21,
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"nu": 0.9,
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"gamma": 0.04
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},
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"model_dict": {
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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},
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"feature_dict": {
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"VMAF_feature": [
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"vif_scale0",
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"vif_scale1",
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"vif_scale2",
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"vif_scale3",
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"adm2",
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"motion2"
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]
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},
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"norm_type": "linear_rescale",
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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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"feature_names": [
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"VMAF_feature_adm2_score",
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"VMAF_feature_motion2_score",
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"VMAF_feature_vif_scale0_score",
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"VMAF_feature_vif_scale1_score",
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"VMAF_feature_vif_scale2_score",
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"VMAF_feature_vif_scale3_score"
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],
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"intercepts": [
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-0.3092981927591963,
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-1.778561646908718,
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-0.003017198086831897,
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-0.1728125095425364,
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-0.5294309090081222,
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-0.7577185792093722,
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-1.083428597549764
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],
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"model_type": "BOOTSTRAP_LIBSVMNUSVR",
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"model": "svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 210\nrho -1.38271\nSV\n-4 1:0.69605554 2:0.34681232 3:0.093755557 4:0.60913934 5:0.69117362 6:0.73495824 \n4 1:0.89192404 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n4 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n4 1:0.2214182 2:0.49612229 3:0.10534315 4:-1.110223e-16 6:2.220446e-16 \n4 1:0.3594872 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n4 1:0.67482533 2:0.49612229 3:0.35268026 4:0.4805681 5:0.59603341 6:0.67408692 \n4 1:0.61342581 2:0.49612229 3:0.27561601 4:0.33977371 5:0.4325213 6:0.50244952 \n4 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n4 1:0.79391726 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n4 1:0.73867648 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n4 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6:0.78020579 \n4 1:0.4730794 3:0.11866359 4:0.58816959 5:0.86435738 6:0.96191842 \n4 1:0.46600264 3:0.11185039 4:0.56180003 5:0.83415721 6:0.93617329 \n4 1:0.45337497 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n4 1:0.68660174 3:0.20657211 4:0.81196884 5:0.94140702 6:0.96680805 \n4 1:0.67544021 3:0.19261438 4:0.76066415 5:0.89973293 6:0.93660362 \n4 1:0.87911146 2:0.34681232 3:0.22411304 4:0.88845644 5:0.94169671 6:0.96221395 \n-4 1:0.35760888 2:0.34681232 3:0.027607294 4:0.40659646 5:0.45456869 6:0.48256597 \n-4 1:0.4688131 2:0.34681232 3:0.041939301 4:0.45284872 5:0.5157613 6:0.55335821 \n-4 1:0.69816754 2:0.34681232 3:0.11526222 4:0.68549511 5:0.78556255 6:0.83507583 \n-4 1:0.65624547 2:0.34681232 3:0.092281981 4:0.61278125 5:0.70626575 6:0.75613977 \n-4 1:0.60311017 2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n-4 1:0.74644956 2:0.34681232 3:0.12095689 4:0.68834617 5:0.77453583 6:0.81892861 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n-4 1:0.89171605 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n-4 1:0.51012298 2:0.25207203 3:0.2005129 4:0.41516485 5:0.45282017 6:0.47396143 \n-4 1:0.5797031 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n-4 1:0.73166122 2:0.25207203 3:0.3051639 4:0.67537297 5:0.75767261 6:0.80327187 \n-4 1:0.69622281 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n-4 1:0.65317124 2:0.25207203 3:0.23994344 4:0.52538719 5:0.5891732 6:0.62164073 \n-4 1:0.77121222 2:0.25207203 3:0.33053889 4:0.73085549 5:0.80341439 6:0.84546456 \n-4 1:0.73815918 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n-4 1:0.69716201 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n4 1:0.89725962 2:0.48885268 3:0.5143645 4:0.8587242 5:0.91841685 6:0.94498293 \n4 1:0.92683589 2:0.48885268 3:0.55208861 4:0.89938377 5:0.94642982 6:0.96615102 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\n4 1:0.91839373 2:0.04579546 3:0.69472114 4:0.97790884 5:0.9891237 6:0.993277 \n4 1:0.98791521 2:0.04579546 3:0.90293444 4:0.99181622 5:0.99642641 6:0.9978864 \n4 1:0.25896526 2:0.04579546 3:0.31879 4:0.45852885 5:0.59717781 6:0.71487885 \n-4 1:0.40634904 2:0.04579546 3:0.35412414 4:0.55926446 5:0.70175505 6:0.79649177 \n-0.8973552482918951 1:0.6483368 2:0.04579546 3:0.45989947 4:0.82115248 5:0.92520734 6:0.9594384 \n-4 1:0.62949718 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n4 1:0.78180974 2:0.04579546 3:0.54174294 4:0.92424698 5:0.96600395 6:0.97868211 \n-4 1:0.73985421 2:0.04579546 3:0.499439 4:0.84012074 5:0.90229375 6:0.92936693 \n4 1:0.95273022 2:0.014623935 3:0.90135809 4:0.99584619 5:0.9970631 6:0.99757649 \n4 1:0.99718538 2:0.014623935 3:1 4:1 5:1 6:1 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n-4 1:0.5724789 2:0.014623935 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2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n-4 1:0.82949905 2:0.047285912 3:0.51559706 4:0.90512389 5:0.93743101 6:0.9492968 \n-4 1:0.79740378 2:0.047285912 3:0.49225957 4:0.86357299 5:0.89948127 6:0.91221155 \n-4 1:0.75331875 2:0.047285912 3:0.46606653 4:0.81323145 5:0.84847474 6:0.85892657 \n",
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"slopes": [
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0.012020766332648465,
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2.7863890579902773,
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0.06264407466686016,
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1.222763456258933,
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1.5360318811084146,
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1.7620864995501058,
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2.08656468286432
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]
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}
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},
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"1": {
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"param_dict": {
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"C": 4.0,
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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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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],
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"num_models": 21,
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"nu": 0.9,
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"gamma": 0.04
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},
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"model_dict": {
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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},
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"feature_dict": {
|
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"VMAF_feature": [
|
|
"vif_scale0",
|
|
"vif_scale1",
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"vif_scale2",
|
|
"vif_scale3",
|
|
"adm2",
|
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"motion2"
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]
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},
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"norm_type": "linear_rescale",
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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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"feature_names": [
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"VMAF_feature_adm2_score",
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"VMAF_feature_motion2_score",
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"VMAF_feature_vif_scale0_score",
|
|
"VMAF_feature_vif_scale1_score",
|
|
"VMAF_feature_vif_scale2_score",
|
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"VMAF_feature_vif_scale3_score"
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],
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"intercepts": [
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"model_type": "BOOTSTRAP_LIBSVMNUSVR",
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2:0.42532178 3:0.35347476 4:0.69239941 5:0.78245146 6:0.83117443 \n4 1:0.66256481 2:0.42532178 3:0.27479904 4:0.51802649 5:0.59270541 6:0.63560969 \n-4 1:0.52033349 2:0.48885268 3:0.27824915 4:0.42915458 5:0.50850476 6:0.58585271 \n4 1:0.90420201 2:0.15600331 3:0.19693206 4:0.86294641 5:0.92990351 6:0.95498998 \n4 1:0.6092064 2:0.58937038 3:0.34931828 4:0.4519606 5:0.54893247 6:0.61355219 \n-4 1:0.32027025 2:0.49739676 3:0.17094319 4:0.12195679 5:0.13277563 6:0.14165413 \n4 1:0.91341872 3:0.45198963 4:0.97703695 5:0.9907273 6:0.99510256 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n-4 1:0.75664435 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n-4 1:0.62949718 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n-4 1:0.77121222 2:0.25207203 3:0.33053889 4:0.73085549 5:0.80341439 6:0.84546456 \n2.50876015662567 1:0.85573143 2:1 3:0.37381485 4:0.7891612 5:0.87031145 6:0.90944281 \n-4 1:0.65966561 2:0.20820673 3:0.27420721 4:0.57889989 5:0.68485118 6:0.74837036 \n-4 1:0.69622281 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n-4 1:0.86064316 2:0.08765484 3:0.62680052 4:0.88208508 5:0.93041565 6:0.9505376 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n4 1:0.78101613 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n-4 1:0.69622281 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n",
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"slopes": [
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0.012020766332648465,
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2.7863890579902773,
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0.06264407466686016,
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1.222763456258933,
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1.5360318811084146,
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1.7620864995501058,
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2.08656468286432
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]
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}
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},
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"2": {
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"param_dict": {
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"C": 4.0,
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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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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"num_models": 21,
|
|
"nu": 0.9,
|
|
"gamma": 0.04
|
|
},
|
|
"model_dict": {
|
|
"score_transform": {
|
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"p2": -0.00705305,
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"out_gte_in": "true",
|
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"p0": 1.70674692,
|
|
"p1": 1.72643844
|
|
},
|
|
"feature_dict": {
|
|
"VMAF_feature": [
|
|
"vif_scale0",
|
|
"vif_scale1",
|
|
"vif_scale2",
|
|
"vif_scale3",
|
|
"adm2",
|
|
"motion2"
|
|
]
|
|
},
|
|
"norm_type": "linear_rescale",
|
|
"score_clip": [
|
|
0.0,
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100.0
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],
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"feature_names": [
|
|
"VMAF_feature_adm2_score",
|
|
"VMAF_feature_motion2_score",
|
|
"VMAF_feature_vif_scale0_score",
|
|
"VMAF_feature_vif_scale1_score",
|
|
"VMAF_feature_vif_scale2_score",
|
|
"VMAF_feature_vif_scale3_score"
|
|
],
|
|
"intercepts": [
|
|
-0.3092981927591963,
|
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-1.778561646908718,
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-0.003017198086831897,
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-0.5294309090081222,
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-0.7577185792093722,
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-1.083428597549764
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],
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"model_type": "BOOTSTRAP_LIBSVMNUSVR",
|
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"model": "svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 210\nrho -1.1262\nSV\n-3.652247087177586 1:0.85573143 2:1 3:0.37381485 4:0.7891612 5:0.87031145 6:0.90944281 \n4 1:0.73710984 2:0.23066177 3:0.49544357 4:0.66648649 5:0.76052819 6:0.81482311 \n-4 1:0.69518774 2:0.20629643 3:0.1796405 4:0.56432133 5:0.68049028 6:0.74616621 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n-4 1:0.69891028 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n1.906725233466803 1:0.62552631 2:0.49739676 3:0.30895604 4:0.40532955 5:0.48355121 6:0.54476585 \n4 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n4 1:0.34770698 2:0.58937038 3:0.24672569 4:0.24188506 5:0.29544562 6:0.33843061 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n-4 1:0.5762709 2:0.93973481 3:0.23537634 4:0.48984694 5:0.55363885 6:0.5853905 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n4 1:0.32002648 2:0.54342577 3:0.072456434 4:0.24261286 5:0.29785605 6:0.33368644 \n-4 1:0.77121222 2:0.25207203 3:0.33053889 4:0.73085549 5:0.80341439 6:0.84546456 \n4 1:0.67850561 2:0.20629643 3:0.19487894 4:0.63045155 5:0.76931142 6:0.83706632 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n-4 1:0.79342163 2:0.16787772 3:0.60849279 4:0.80724494 5:0.86183239 6:0.88618408 \n-4 1:0.71167822 2:0.014623935 3:0.78422805 4:0.88268036 5:0.94383829 6:0.96596858 \n4 1:0.76399364 2:0.04579546 3:0.52334234 4:0.88859427 5:0.94013924 6:0.95946903 \n-4 1:0.60311017 2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n4 1:0.74778935 2:0.58937038 3:0.41507439 4:0.56413083 5:0.65815516 6:0.7166999 \n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n3.675912192223628 1:0.43289262 2:0.49739676 3:0.19942282 4:0.18051614 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5:0.90229375 6:0.92936693 \n-4 1:0.69716201 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n4 1:0.92683589 2:0.48885268 3:0.55208861 4:0.89938377 5:0.94642982 6:0.96615102 \n4 1:0.78180974 2:0.04579546 3:0.54174294 4:0.92424698 5:0.96600395 6:0.97868211 \n4 1:0.54792627 2:0.055921852 3:0.26207179 4:0.59416461 5:0.75957205 6:0.82870539 \n",
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"slopes": [
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0.012020766332648465,
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2.7863890579902773,
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0.06264407466686016,
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1.222763456258933,
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1.5360318811084146,
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1.7620864995501058,
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2.08656468286432
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]
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}
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},
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"3": {
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"param_dict": {
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"C": 4.0,
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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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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],
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"num_models": 21,
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"nu": 0.9,
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"gamma": 0.04
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},
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"model_dict": {
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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},
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"feature_dict": {
|
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"VMAF_feature": [
|
|
"vif_scale0",
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"vif_scale1",
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"vif_scale2",
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"vif_scale3",
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"adm2",
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"motion2"
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]
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},
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"norm_type": "linear_rescale",
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"score_clip": [
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],
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"feature_names": [
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"VMAF_feature_adm2_score",
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"VMAF_feature_motion2_score",
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"VMAF_feature_vif_scale0_score",
|
|
"VMAF_feature_vif_scale1_score",
|
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"VMAF_feature_vif_scale2_score",
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"VMAF_feature_vif_scale3_score"
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],
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"intercepts": [
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"model_type": "BOOTSTRAP_LIBSVMNUSVR",
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2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n4 1:0.75700132 2:1 3:0.28883701 4:0.65284485 5:0.75623242 6:0.81297442 \n4 1:0.6092064 2:0.58937038 3:0.34931828 4:0.4519606 5:0.54893247 6:0.61355219 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n4 1:0.32002648 2:0.54342577 3:0.072456434 4:0.24261286 5:0.29785605 6:0.33368644 \n",
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"slopes": [
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0.012020766332648465,
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2.7863890579902773,
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0.06264407466686016,
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1.222763456258933,
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1.5360318811084146,
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1.7620864995501058,
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2.08656468286432
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]
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}
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},
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"4": {
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"param_dict": {
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"C": 4.0,
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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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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],
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"num_models": 21,
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"nu": 0.9,
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"gamma": 0.04
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},
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"model_dict": {
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"score_transform": {
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"p2": -0.00705305,
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"p0": 1.70674692,
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"p1": 1.72643844
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},
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"feature_dict": {
|
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"VMAF_feature": [
|
|
"vif_scale0",
|
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"vif_scale1",
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"vif_scale2",
|
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"vif_scale3",
|
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"adm2",
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"motion2"
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]
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},
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"norm_type": "linear_rescale",
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"score_clip": [
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0.0,
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],
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"feature_names": [
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"VMAF_feature_motion2_score",
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"VMAF_feature_vif_scale0_score",
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"VMAF_feature_vif_scale1_score",
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"VMAF_feature_vif_scale2_score",
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"VMAF_feature_vif_scale3_score"
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],
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"intercepts": [
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"model_type": "BOOTSTRAP_LIBSVMNUSVR",
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6:0.98405871 \n-4 1:0.91785848 2:0.083369236 3:0.63999999 4:0.90398906 5:0.94897505 6:0.96762621 \n-4 1:0.56800546 2:0.16787772 3:0.5149767 4:0.63026581 5:0.67890679 6:0.69964851 \n2.470354597030938 1:0.60617061 2:0.20820673 3:0.23419121 4:0.48018865 5:0.57200972 6:0.63197473 \n",
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"slopes": [
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0.012020766332648465,
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2.7863890579902773,
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0.06264407466686016,
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1.222763456258933,
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1.5360318811084146,
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1.7620864995501058,
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2.08656468286432
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]
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}
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},
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"5": {
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"param_dict": {
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"C": 4.0,
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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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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],
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"num_models": 21,
|
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"nu": 0.9,
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"gamma": 0.04
|
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},
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"model_dict": {
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
|
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"p1": 1.72643844
|
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},
|
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"feature_dict": {
|
|
"VMAF_feature": [
|
|
"vif_scale0",
|
|
"vif_scale1",
|
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"vif_scale2",
|
|
"vif_scale3",
|
|
"adm2",
|
|
"motion2"
|
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]
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},
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"norm_type": "linear_rescale",
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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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"feature_names": [
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"VMAF_feature_adm2_score",
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"VMAF_feature_motion2_score",
|
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"VMAF_feature_vif_scale0_score",
|
|
"VMAF_feature_vif_scale1_score",
|
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"VMAF_feature_vif_scale2_score",
|
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"VMAF_feature_vif_scale3_score"
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],
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"intercepts": [
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],
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"model_type": "BOOTSTRAP_LIBSVMNUSVR",
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6:0.55335821 \n4 1:0.67544021 3:0.19261438 4:0.76066415 5:0.89973293 6:0.93660362 \n1.694205720739004 1:0.80993214 2:0.15600331 3:0.13401869 4:0.75274384 5:0.8506531 6:0.89321405 \n-4 1:0.72960023 2:0.93973481 3:0.29554025 4:0.64471949 5:0.72634443 6:0.77062686 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n-4 1:0.69816754 2:0.34681232 3:0.11526222 4:0.68549511 5:0.78556255 6:0.83507583 \n4 1:0.68660174 3:0.20657211 4:0.81196884 5:0.94140702 6:0.96680805 \n",
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"slopes": [
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0.012020766332648465,
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2.7863890579902773,
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0.06264407466686016,
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}
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},
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"6": {
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"param_dict": {
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"C": 4.0,
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"score_transform": {
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},
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"score_clip": [
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"nu": 0.9,
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"gamma": 0.04
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},
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"model_dict": {
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"score_transform": {
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"p0": 1.70674692,
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},
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"feature_dict": {
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"VMAF_feature": [
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"vif_scale0",
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"vif_scale1",
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"vif_scale2",
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"vif_scale3",
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"adm2",
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"motion2"
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]
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},
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"norm_type": "linear_rescale",
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"score_clip": [
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"feature_names": [
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"VMAF_feature_motion2_score",
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"VMAF_feature_vif_scale1_score",
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"VMAF_feature_vif_scale2_score",
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"VMAF_feature_vif_scale3_score"
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],
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3:0.20657211 4:0.81196884 5:0.94140702 6:0.96680805 \n-4 1:0.75431872 2:0.083369236 3:0.42082971 4:0.66591147 5:0.77995959 6:0.84260661 \n4 1:0.91061528 2:0.22767235 3:0.35742938 4:0.89821492 5:0.94339974 6:0.96076173 \n-4 1:0.70532989 2:0.54342577 3:0.18169339 4:0.50290989 5:0.59875259 6:0.65332628 \n-3.717190615602383 1:0.43289262 2:0.49739676 3:0.19942282 4:0.18051614 5:0.20657779 6:0.22630829 \n4 1:0.40588686 2:0.42532178 3:0.20589097 4:0.35241209 5:0.40358156 6:0.42577381 \n4 1:0.87062235 2:0.49739676 3:0.53966638 4:0.77392585 5:0.84784447 6:0.89031641 \n4 1:0.82277534 2:0.23066177 3:0.56208506 4:0.76164281 5:0.83176644 6:0.86914911 \n-4 1:0.72960023 2:0.93973481 3:0.29554025 4:0.64471949 5:0.72634443 6:0.77062686 \n-4 1:0.44711702 2:0.54342577 3:0.10123262 4:0.31581962 5:0.38571265 6:0.42827036 \n-4 1:0.70532989 2:0.54342577 3:0.18169339 4:0.50290989 5:0.59875259 6:0.65332628 \n-4 1:0.83887552 2:0.08765484 3:0.58154998 4:0.82429855 5:0.8858516 6:0.91563291 \n4 1:0.88220599 2:0.20820673 3:0.40997978 4:0.82462749 5:0.89794736 6:0.93142825 \n-4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n-4 1:0.74285042 2:0.48885268 3:0.35394597 4:0.61189191 5:0.70897304 6:0.77099691 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n-4 1:0.62949718 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n-4 1:0.60311017 2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n",
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"slopes": [
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0.012020766332648465,
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2.7863890579902773,
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0.06264407466686016,
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1.222763456258933,
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1.5360318811084146,
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1.7620864995501058,
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2.08656468286432
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]
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}
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},
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"7": {
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"param_dict": {
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"C": 4.0,
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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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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"num_models": 21,
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"nu": 0.9,
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"gamma": 0.04
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},
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"model_dict": {
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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},
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"feature_dict": {
|
|
"VMAF_feature": [
|
|
"vif_scale0",
|
|
"vif_scale1",
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"vif_scale2",
|
|
"vif_scale3",
|
|
"adm2",
|
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"motion2"
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]
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},
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"norm_type": "linear_rescale",
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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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"feature_names": [
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"VMAF_feature_adm2_score",
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"VMAF_feature_motion2_score",
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"VMAF_feature_vif_scale0_score",
|
|
"VMAF_feature_vif_scale1_score",
|
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"VMAF_feature_vif_scale2_score",
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|
"VMAF_feature_vif_scale3_score"
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],
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"intercepts": [
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-0.3092981927591963,
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],
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"model_type": "BOOTSTRAP_LIBSVMNUSVR",
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},
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|
"model_dict": {
|
|
"score_transform": {
|
|
"p2": -0.00705305,
|
|
"out_gte_in": "true",
|
|
"p0": 1.70674692,
|
|
"p1": 1.72643844
|
|
},
|
|
"feature_dict": {
|
|
"VMAF_feature": [
|
|
"vif_scale0",
|
|
"vif_scale1",
|
|
"vif_scale2",
|
|
"vif_scale3",
|
|
"adm2",
|
|
"motion2"
|
|
]
|
|
},
|
|
"norm_type": "linear_rescale",
|
|
"score_clip": [
|
|
0.0,
|
|
100.0
|
|
],
|
|
"feature_names": [
|
|
"VMAF_feature_adm2_score",
|
|
"VMAF_feature_motion2_score",
|
|
"VMAF_feature_vif_scale0_score",
|
|
"VMAF_feature_vif_scale1_score",
|
|
"VMAF_feature_vif_scale2_score",
|
|
"VMAF_feature_vif_scale3_score"
|
|
],
|
|
"intercepts": [
|
|
-0.3092981927591963,
|
|
-1.778561646908718,
|
|
-0.003017198086831897,
|
|
-0.1728125095425364,
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|
-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 6:0.87935204 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4:0.43030863 5:0.5277316 6:0.59069772 \n4 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n4 1:0.79373193 2:0.58937038 3:0.47493233 4:0.66775916 5:0.76196439 6:0.81489875 \n4 1:0.66256481 2:0.42532178 3:0.27479904 4:0.51802649 5:0.59270541 6:0.63560969 \n-4 1:0.5810431 2:0.047285912 3:0.43113594 4:0.74141738 5:0.76929188 6:0.77018949 \n-4 1:0.65624547 2:0.34681232 3:0.092281981 4:0.61278125 5:0.70626575 6:0.75613977 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n4 1:0.91202697 2:0.42532178 3:0.50912639 4:0.87959883 5:0.93223488 6:0.95450335 \n-4 1:0.43289262 2:0.49739676 3:0.19942282 4:0.18051614 5:0.20657779 6:0.22630829 \n-4 1:0.3070772 2:0.93973481 3:0.18757116 4:0.34864297 5:0.3777168 6:0.38922611 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n-4 1:0.60311017 2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n4 1:0.75731817 2:0.42532178 3:0.35347476 4:0.69239941 5:0.78245146 6:0.83117443 \n-4 1:0.69891028 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n-4 1:0.78399277 2:0.34681232 3:0.1457048 4:0.75791308 5:0.84155109 6:0.88132116 \n4 1:0.73288362 2:0.48885268 3:0.38858001 4:0.69395818 5:0.80318832 6:0.85946067 \n-4 1:0.44711702 2:0.54342577 3:0.10123262 4:0.31581962 5:0.38571265 6:0.42827036 \n4 1:0.74778935 2:0.58937038 3:0.41507439 4:0.56413083 5:0.65815516 6:0.7166999 \n-4 1:0.74425089 2:0.014623935 3:0.78900741 4:0.90386551 5:0.96905764 6:0.98466408 \n-4 1:0.65317124 2:0.25207203 3:0.23994344 4:0.52538719 5:0.5891732 6:0.62164073 \n4 1:0.56142653 2:0.49739676 3:0.24752355 4:0.28326524 5:0.33261781 6:0.37104424 \n4 1:0.80205907 2:0.22767235 3:0.26078021 4:0.76359704 5:0.8470807 6:0.8858359 \n-4 1:0.5762709 2:0.93973481 3:0.23537634 4:0.48984694 5:0.55363885 6:0.5853905 \n-4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 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 4:0.57889989 5:0.68485118 6:0.74837036 \n4 1:0.95273022 2:0.014623935 3:0.90135809 4:0.99584619 5:0.9970631 6:0.99757649 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n4 1:0.56142653 2:0.49739676 3:0.24752355 4:0.28326524 5:0.33261781 6:0.37104424 \n4 1:0.72746732 2:0.23066177 3:0.43952897 4:0.55736023 5:0.63319876 6:0.68402869 \n-4 1:0.68687464 2:0.93973481 3:0.2669659 4:0.56720118 5:0.63868728 6:0.67673331 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n4 1:0.29443857 2:0.055921852 3:0.19401703 4:0.41679982 5:0.61495039 6:0.74140301 \n4 1:0.61342581 2:0.49612229 3:0.27561601 4:0.33977371 5:0.4325213 6:0.50244952 \n4 1:0.78101613 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n4 1:0.78333908 2:0.20629643 3:0.24707248 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5:0.38571265 6:0.42827036 \n-4 1:0.5724789 2:0.014623935 3:0.77708563 4:0.84258654 5:0.91016348 6:0.95440359 \n-4 1:0.73985421 2:0.04579546 3:0.499439 4:0.84012074 5:0.90229375 6:0.92936693 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n4 1:0.65970734 2:1 3:0.23706331 4:0.5477205 5:0.66054901 6:0.7269284 \n-4 1:0.73815918 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n-4 1:0.68687464 2:0.93973481 3:0.2669659 4:0.56720118 5:0.63868728 6:0.67673331 \n-4 1:0.74673262 2:0.20629643 3:0.21465833 4:0.65034545 5:0.76692184 6:0.82551595 \n4 1:0.77998422 2:0.49739676 3:0.43832146 4:0.63397606 5:0.7240692 6:0.78367237 \n4 1:0.32027025 2:0.49739676 3:0.17094319 4:0.12195679 5:0.13277563 6:0.14165413 \n-4 1:0.74425089 2:0.014623935 3:0.78900741 4:0.90386551 5:0.96905764 6:0.98466408 \n4 1:0.68660174 3:0.20657211 4:0.81196884 5:0.94140702 6:0.96680805 \n4 1:0.91728681 2:0.20820673 3:0.45891267 4:0.87823329 5:0.93535353 6:0.95883927 \n4 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"slopes": [
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0.012020766332648465,
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2.7863890579902773,
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0.06264407466686016,
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1.222763456258933,
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1.5360318811084146,
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1.7620864995501058,
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2.08656468286432
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]
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}
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},
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"9": {
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"param_dict": {
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"C": 4.0,
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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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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],
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"num_models": 21,
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"nu": 0.9,
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"gamma": 0.04
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},
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"model_dict": {
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"score_transform": {
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"p2": -0.00705305,
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"p0": 1.70674692,
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"p1": 1.72643844
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},
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"feature_dict": {
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"VMAF_feature": [
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"vif_scale0",
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"vif_scale1",
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"vif_scale2",
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"vif_scale3",
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"adm2",
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"motion2"
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]
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},
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"norm_type": "linear_rescale",
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"score_clip": [
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"feature_names": [
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"VMAF_feature_vif_scale0_score",
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"VMAF_feature_vif_scale1_score",
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"VMAF_feature_vif_scale2_score",
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"VMAF_feature_vif_scale3_score"
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],
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"intercepts": [
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4:0.73085549 5:0.80341439 6:0.84546456 \n-4 1:0.69691564 2:0.48885268 3:0.35289928 4:0.61359907 5:0.7217863 6:0.78790011 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n4 1:0.32002648 2:0.54342577 3:0.072456434 4:0.24261286 5:0.29785605 6:0.33368644 \n4 1:0.19680854 2:0.58937038 3:0.21585801 4:0.1754362 5:0.20844015 6:0.23846443 \n",
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"slopes": [
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0.012020766332648465,
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2.7863890579902773,
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0.06264407466686016,
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1.222763456258933,
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1.5360318811084146,
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1.7620864995501058,
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2.08656468286432
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]
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}
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},
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"10": {
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"param_dict": {
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"C": 4.0,
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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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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"num_models": 21,
|
|
"nu": 0.9,
|
|
"gamma": 0.04
|
|
},
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"model_dict": {
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
|
|
"p1": 1.72643844
|
|
},
|
|
"feature_dict": {
|
|
"VMAF_feature": [
|
|
"vif_scale0",
|
|
"vif_scale1",
|
|
"vif_scale2",
|
|
"vif_scale3",
|
|
"adm2",
|
|
"motion2"
|
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]
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|
},
|
|
"norm_type": "linear_rescale",
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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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"feature_names": [
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|
"VMAF_feature_adm2_score",
|
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"VMAF_feature_motion2_score",
|
|
"VMAF_feature_vif_scale0_score",
|
|
"VMAF_feature_vif_scale1_score",
|
|
"VMAF_feature_vif_scale2_score",
|
|
"VMAF_feature_vif_scale3_score"
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],
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"intercepts": [
|
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-0.3092981927591963,
|
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],
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"model_type": "BOOTSTRAP_LIBSVMNUSVR",
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4:0.33495583 5:0.39777832 6:0.44399359 \n-3.884630988020474 1:0.4807615 2:0.083369236 3:0.30044264 4:0.41587284 5:0.5230585 6:0.59468942 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n-4 1:0.90573613 2:0.047285912 3:0.55323777 4:0.95113339 5:0.97249918 6:0.9795177 \n-4 1:0.77257175 2:0.08765484 3:0.5597726 4:0.80653689 5:0.88996341 6:0.92691132 \n",
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"slopes": [
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0.012020766332648465,
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2.7863890579902773,
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0.06264407466686016,
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}
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},
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"11": {
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"param_dict": {
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"C": 4.0,
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"score_transform": {
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},
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"score_clip": [
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"nu": 0.9,
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"gamma": 0.04
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},
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"model_dict": {
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"score_transform": {
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"p0": 1.70674692,
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"p1": 1.72643844
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},
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"feature_dict": {
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"VMAF_feature": [
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"vif_scale0",
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"vif_scale1",
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"vif_scale2",
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"vif_scale3",
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"adm2",
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"motion2"
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]
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},
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"score_clip": [
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"feature_names": [
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"VMAF_feature_vif_scale1_score",
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"VMAF_feature_vif_scale2_score",
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"VMAF_feature_vif_scale3_score"
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],
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5:0.61224976 6:0.68477529 \n4 1:0.79373193 2:0.58937038 3:0.47493233 4:0.66775916 5:0.76196439 6:0.81489875 \n-4 1:0.69891028 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n4 1:0.39257764 2:0.22767235 3:0.12019254 4:0.3951559 5:0.44657802 6:0.46771549 \n4 1:0.74208953 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n4 1:0.79373193 2:0.58937038 3:0.47493233 4:0.66775916 5:0.76196439 6:0.81489875 \n4 1:0.67544021 3:0.19261438 4:0.76066415 5:0.89973293 6:0.93660362 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n4 1:0.88220599 2:0.20820673 3:0.40997978 4:0.82462749 5:0.89794736 6:0.93142825 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n-4 1:0.65317124 2:0.25207203 3:0.23994344 4:0.52538719 5:0.5891732 6:0.62164073 \n-4 1:0.40634904 2:0.04579546 3:0.35412414 4:0.55926446 5:0.70175505 6:0.79649177 \n-4 1:0.77121222 2:0.25207203 3:0.33053889 4:0.73085549 5:0.80341439 6:0.84546456 \n-4 1:0.85632141 2:0.93973481 3:0.36718425 4:0.81512123 5:0.88887359 6:0.92320992 \n4 1:0.90573613 2:0.047285912 3:0.55323777 4:0.95113339 5:0.97249918 6:0.9795177 \n4 1:0.85559183 2:0.20629643 3:0.30562098 4:0.80541317 5:0.89285836 6:0.92907353 \n-4 1:0.82949905 2:0.047285912 3:0.51559706 4:0.90512389 5:0.93743101 6:0.9492968 \n-4 1:0.77257175 2:0.08765484 3:0.5597726 4:0.80653689 5:0.88996341 6:0.92691132 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n",
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"slopes": [
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0.012020766332648465,
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2.7863890579902773,
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0.06264407466686016,
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1.222763456258933,
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1.5360318811084146,
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1.7620864995501058,
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2.08656468286432
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]
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}
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},
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"12": {
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"param_dict": {
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"C": 4.0,
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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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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"num_models": 21,
|
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"nu": 0.9,
|
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"gamma": 0.04
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},
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"model_dict": {
|
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
|
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"p1": 1.72643844
|
|
},
|
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"feature_dict": {
|
|
"VMAF_feature": [
|
|
"vif_scale0",
|
|
"vif_scale1",
|
|
"vif_scale2",
|
|
"vif_scale3",
|
|
"adm2",
|
|
"motion2"
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]
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},
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"norm_type": "linear_rescale",
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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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"feature_names": [
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"VMAF_feature_adm2_score",
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"VMAF_feature_motion2_score",
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"VMAF_feature_vif_scale0_score",
|
|
"VMAF_feature_vif_scale1_score",
|
|
"VMAF_feature_vif_scale2_score",
|
|
"VMAF_feature_vif_scale3_score"
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|
],
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"intercepts": [
|
|
-0.3092981927591963,
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-1.778561646908718,
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-0.003017198086831897,
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-0.7577185792093722,
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-1.083428597549764
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],
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"model_type": "BOOTSTRAP_LIBSVMNUSVR",
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"13": {
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0.0,
|
|
100.0
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],
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"num_models": 21,
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"nu": 0.9,
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"gamma": 0.04
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},
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"model_dict": {
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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|
"p1": 1.72643844
|
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},
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"feature_dict": {
|
|
"VMAF_feature": [
|
|
"vif_scale0",
|
|
"vif_scale1",
|
|
"vif_scale2",
|
|
"vif_scale3",
|
|
"adm2",
|
|
"motion2"
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]
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},
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"norm_type": "linear_rescale",
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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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"feature_names": [
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"VMAF_feature_adm2_score",
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"VMAF_feature_motion2_score",
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"VMAF_feature_vif_scale0_score",
|
|
"VMAF_feature_vif_scale1_score",
|
|
"VMAF_feature_vif_scale2_score",
|
|
"VMAF_feature_vif_scale3_score"
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],
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"intercepts": [
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-0.3092981927591963,
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-1.778561646908718,
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-0.003017198086831897,
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-0.7577185792093722,
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-1.083428597549764
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],
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"model_type": "BOOTSTRAP_LIBSVMNUSVR",
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3:0.27420721 4:0.57889989 5:0.68485118 6:0.74837036 \n4 1:0.90573613 2:0.047285912 3:0.55323777 4:0.95113339 5:0.97249918 6:0.9795177 \n-4 1:0.75664435 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n4 1:0.72746732 2:0.23066177 3:0.43952897 4:0.55736023 5:0.63319876 6:0.68402869 \n",
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"slopes": [
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0.012020766332648465,
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2.7863890579902773,
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0.06264407466686016,
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1.222763456258933,
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1.5360318811084146,
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1.7620864995501058,
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2.08656468286432
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]
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}
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},
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"14": {
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"param_dict": {
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"C": 4.0,
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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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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],
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"num_models": 21,
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"nu": 0.9,
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"gamma": 0.04
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},
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"model_dict": {
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"score_transform": {
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"p2": -0.00705305,
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"p0": 1.70674692,
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"p1": 1.72643844
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},
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"feature_dict": {
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"VMAF_feature": [
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"vif_scale0",
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"vif_scale1",
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"vif_scale2",
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"vif_scale3",
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"adm2",
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"motion2"
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]
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},
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"norm_type": "linear_rescale",
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"score_clip": [
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],
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"feature_names": [
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"VMAF_feature_motion2_score",
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"VMAF_feature_vif_scale0_score",
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"VMAF_feature_vif_scale1_score",
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"VMAF_feature_vif_scale2_score",
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"VMAF_feature_vif_scale3_score"
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],
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"intercepts": [
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"model_type": "BOOTSTRAP_LIBSVMNUSVR",
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5:0.59270541 6:0.63560969 \n4 1:0.90795371 2:0.58937038 3:0.58823535 4:0.80035053 5:0.86988422 6:0.90533033 \n-4 1:0.5762709 2:0.93973481 3:0.23537634 4:0.48984694 5:0.55363885 6:0.5853905 \n-4 1:0.65317124 2:0.25207203 3:0.23994344 4:0.52538719 5:0.5891732 6:0.62164073 \n-4 1:0.89171605 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n4 1:0.91839373 2:0.04579546 3:0.69472114 4:0.97790884 5:0.9891237 6:0.993277 \n-4 1:0.71777065 2:0.08765484 3:0.47011786 4:0.66069877 5:0.75226598 6:0.80539407 \n-4 1:0.48213397 2:0.16787772 3:0.49792761 4:0.59161372 5:0.62979552 6:0.64254584 \n-4 1:0.45809369 2:0.08765484 3:0.36628046 4:0.45852823 5:0.56005228 6:0.65708595 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n-4 1:0.84127012 2:0.014623935 3:0.81253935 4:0.95982371 5:0.98309178 6:0.9870796 \n4 1:0.39257764 2:0.22767235 3:0.12019254 4:0.3951559 5:0.44657802 6:0.46771549 \n-4 1:0.90573613 2:0.047285912 3:0.55323777 4:0.95113339 5:0.97249918 6:0.9795177 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n-4 1:0.91941823 2:0.93973481 3:0.41336953 4:0.88038833 5:0.93688884 6:0.95992879 \n4 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n4 1:0.34770698 2:0.58937038 3:0.24672569 4:0.24188506 5:0.29544562 6:0.33843061 \n-4 1:0.73815918 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n",
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"slopes": [
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0.012020766332648465,
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2.7863890579902773,
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0.06264407466686016,
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1.222763456258933,
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1.5360318811084146,
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1.7620864995501058,
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2.08656468286432
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]
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}
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},
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"15": {
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"param_dict": {
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"C": 4.0,
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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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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"num_models": 21,
|
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"nu": 0.9,
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"gamma": 0.04
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},
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"model_dict": {
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
|
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"p1": 1.72643844
|
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},
|
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"feature_dict": {
|
|
"VMAF_feature": [
|
|
"vif_scale0",
|
|
"vif_scale1",
|
|
"vif_scale2",
|
|
"vif_scale3",
|
|
"adm2",
|
|
"motion2"
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]
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},
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"norm_type": "linear_rescale",
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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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"feature_names": [
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"VMAF_feature_adm2_score",
|
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"VMAF_feature_motion2_score",
|
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"VMAF_feature_vif_scale0_score",
|
|
"VMAF_feature_vif_scale1_score",
|
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"VMAF_feature_vif_scale2_score",
|
|
"VMAF_feature_vif_scale3_score"
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],
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"intercepts": [
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-0.3092981927591963,
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],
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"model_type": "BOOTSTRAP_LIBSVMNUSVR",
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5:0.81124449 6:0.87136343 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n4 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n-4 1:0.66561759 2:0.083369236 3:0.37833052 4:0.59301482 5:0.71772587 6:0.7905538 \n",
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"slopes": [
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0.012020766332648465,
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2.7863890579902773,
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0.06264407466686016,
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1.222763456258933,
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1.5360318811084146,
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1.7620864995501058,
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2.08656468286432
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]
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}
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},
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"16": {
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"param_dict": {
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"C": 4.0,
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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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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],
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"num_models": 21,
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"nu": 0.9,
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"gamma": 0.04
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},
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"model_dict": {
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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},
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"feature_dict": {
|
|
"VMAF_feature": [
|
|
"vif_scale0",
|
|
"vif_scale1",
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"vif_scale2",
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|
"vif_scale3",
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|
"adm2",
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"motion2"
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]
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},
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"norm_type": "linear_rescale",
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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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"feature_names": [
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"VMAF_feature_adm2_score",
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"VMAF_feature_motion2_score",
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"VMAF_feature_vif_scale0_score",
|
|
"VMAF_feature_vif_scale1_score",
|
|
"VMAF_feature_vif_scale2_score",
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|
"VMAF_feature_vif_scale3_score"
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],
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"intercepts": [
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-0.003017198086831897,
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-0.1728125095425364,
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-0.5294309090081222,
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-0.7577185792093722,
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-1.083428597549764
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],
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"model_type": "BOOTSTRAP_LIBSVMNUSVR",
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"model": "svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 210\nrho -1.45024\nSV\n4 1:0.89778056 2:1 3:0.43235998 4:0.86707094 5:0.92632217 6:0.95151451 \n-4 1:0.5724789 2:0.014623935 3:0.77708563 4:0.84258654 5:0.91016348 6:0.95440359 \n4 1:0.90420201 2:0.15600331 3:0.19693206 4:0.86294641 5:0.92990351 6:0.95498998 \n-4 1:0.58396162 2:0.20629643 3:0.13877412 4:0.4724047 5:0.59295828 6:0.66834832 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n4 1:0.90795371 2:0.58937038 3:0.58823535 4:0.80035053 5:0.86988422 6:0.90533033 \n4 1:0.3594872 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n-4 1:0.89171605 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n-4 1:0.76491447 2:0.047285912 3:0.49613729 4:0.87838146 5:0.91688438 6:0.93150362 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n4 1:0.74208953 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n-4 1:0.78583004 2:0.48885268 3:0.4012577 4:0.70792536 5:0.80063653 6:0.85083872 \n4 1:0.25896526 2:0.04579546 3:0.31879 4:0.45852885 5:0.59717781 6:0.71487885 \n-4 1:0.67240963 2:0.16787772 3:0.54473368 4:0.69254626 5:0.74796983 6:0.77177867 \n4 1:0.76399364 2:0.04579546 3:0.52334234 4:0.88859427 5:0.94013924 6:0.95946903 \n4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n-4 1:0.58396162 2:0.20629643 3:0.13877412 4:0.4724047 5:0.59295828 6:0.66834832 \n1.371269410643672 1:0.85355434 2:0.34681232 3:0.18754744 4:0.83526909 5:0.90421808 6:0.93421072 \n4 1:0.34770698 2:0.58937038 3:0.24672569 4:0.24188506 5:0.29544562 6:0.33843061 \n-4 1:0.65966561 2:0.20820673 3:0.27420721 4:0.57889989 5:0.68485118 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5:0.84847474 6:0.85892657 \n-4 1:0.71777065 2:0.08765484 3:0.47011786 4:0.66069877 5:0.75226598 6:0.80539407 \n-4 1:0.56800546 2:0.16787772 3:0.5149767 4:0.63026581 5:0.67890679 6:0.69964851 \n4 1:0.98791521 2:0.04579546 3:0.90293444 4:0.99181622 5:0.99642641 6:0.9978864 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n4 1:0.71284767 2:0.22767235 3:0.2263303 4:0.68859985 5:0.78706365 6:0.83662428 \n4 1:0.25896526 2:0.04579546 3:0.31879 4:0.45852885 5:0.59717781 6:0.71487885 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n4 1:0.54184698 2:0.58937038 3:0.29851601 4:0.34826788 5:0.42168642 6:0.47203603 \n-4 1:0.72319868 2:0.16787772 3:0.57600091 4:0.75310216 5:0.81471966 6:0.84249923 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 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6:0.99176534 \n4 1:0.54792627 2:0.055921852 3:0.26207179 4:0.59416461 5:0.75957205 6:0.82870539 \n-4 1:0.73166122 2:0.25207203 3:0.3051639 4:0.67537297 5:0.75767261 6:0.80327187 \n-4 1:0.69691564 2:0.48885268 3:0.35289928 4:0.61359907 5:0.7217863 6:0.78790011 \n-4 1:0.45809369 2:0.08765484 3:0.36628046 4:0.45852823 5:0.56005228 6:0.65708595 \n-4 1:0.72816168 2:0.047285912 3:0.47217411 4:0.83138845 5:0.8704229 6:0.88419439 \n4 1:0.61342581 2:0.49612229 3:0.27561601 4:0.33977371 5:0.4325213 6:0.50244952 \n4 1:0.18980624 3:0.034330388 4:0.25480402 5:0.54197045 6:0.78020579 \n-4 1:0.87823623 2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n4 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n-4 1:0.4688131 2:0.34681232 3:0.041939301 4:0.45284872 5:0.5157613 6:0.55335821 \n4 1:0.88220599 2:0.20820673 3:0.40997978 4:0.82462749 5:0.89794736 6:0.93142825 \n-4 1:0.32002648 2:0.54342577 3:0.072456434 4:0.24261286 5:0.29785605 6:0.33368644 \n-4 1:0.75664435 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n-4 1:0.68687464 2:0.93973481 3:0.2669659 4:0.56720118 5:0.63868728 6:0.67673331 \n4 1:0.79373193 2:0.58937038 3:0.47493233 4:0.66775916 5:0.76196439 6:0.81489875 \n",
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"slopes": [
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0.012020766332648465,
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2.7863890579902773,
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0.06264407466686016,
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1.222763456258933,
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1.5360318811084146,
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1.7620864995501058,
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2.08656468286432
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]
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}
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},
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"17": {
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"param_dict": {
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"C": 4.0,
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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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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"num_models": 21,
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"nu": 0.9,
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"gamma": 0.04
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},
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"model_dict": {
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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},
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"feature_dict": {
|
|
"VMAF_feature": [
|
|
"vif_scale0",
|
|
"vif_scale1",
|
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"vif_scale2",
|
|
"vif_scale3",
|
|
"adm2",
|
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"motion2"
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]
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},
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"norm_type": "linear_rescale",
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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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"feature_names": [
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"VMAF_feature_adm2_score",
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"VMAF_feature_motion2_score",
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"VMAF_feature_vif_scale0_score",
|
|
"VMAF_feature_vif_scale1_score",
|
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"VMAF_feature_vif_scale2_score",
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|
"VMAF_feature_vif_scale3_score"
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],
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"intercepts": [
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-0.3092981927591963,
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"model_type": "BOOTSTRAP_LIBSVMNUSVR",
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5:0.75623242 6:0.81297442 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n4 1:0.91202697 2:0.42532178 3:0.50912639 4:0.87959883 5:0.93223488 6:0.95450335 \n",
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"slopes": [
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0.012020766332648465,
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2.7863890579902773,
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0.06264407466686016,
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1.222763456258933,
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1.5360318811084146,
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1.7620864995501058,
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2.08656468286432
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]
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}
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},
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"18": {
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"param_dict": {
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"C": 4.0,
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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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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"num_models": 21,
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"nu": 0.9,
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"gamma": 0.04
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},
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"model_dict": {
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
|
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"p1": 1.72643844
|
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},
|
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"feature_dict": {
|
|
"VMAF_feature": [
|
|
"vif_scale0",
|
|
"vif_scale1",
|
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"vif_scale2",
|
|
"vif_scale3",
|
|
"adm2",
|
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"motion2"
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]
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},
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"norm_type": "linear_rescale",
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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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"feature_names": [
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"VMAF_feature_adm2_score",
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"VMAF_feature_motion2_score",
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"VMAF_feature_vif_scale0_score",
|
|
"VMAF_feature_vif_scale1_score",
|
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"VMAF_feature_vif_scale2_score",
|
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"VMAF_feature_vif_scale3_score"
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],
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"intercepts": [
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],
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"model_type": "BOOTSTRAP_LIBSVMNUSVR",
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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 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4:0.56432133 5:0.68049028 6:0.74616621 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n-4 1:0.65624547 2:0.34681232 3:0.092281981 4:0.61278125 5:0.70626575 6:0.75613977 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n4 1:0.67482533 2:0.49612229 3:0.35268026 4:0.4805681 5:0.59603341 6:0.67408692 \n-4 1:0.42428709 2:0.93973481 3:0.20295859 4:0.39290035 5:0.43632323 6:0.45871216 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n-4 1:0.71777065 2:0.08765484 3:0.47011786 4:0.66069877 5:0.75226598 6:0.80539407 \n-4 1:0.66382463 2:0.93973481 3:0.28594627 4:0.63969879 5:0.73360583 6:0.78380069 \n-4 1:0.91951481 2:0.16787772 3:0.7239389 4:0.94244479 5:0.9681932 6:0.97806033 \n-4 1:0.66144997 2:0.15600331 3:0.068820233 4:0.51732819 5:0.62198733 6:0.67977328 \n4 4:0.10344019 5:0.34323945 6:0.63855969 \n4 4:0.10344019 5:0.34323945 6:0.63855969 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2:0.49739676 3:0.43832146 4:0.63397606 5:0.7240692 6:0.78367237 \n-4 1:0.6483368 2:0.04579546 3:0.45989947 4:0.82115248 5:0.92520734 6:0.9594384 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n4 1:0.74208953 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n-4 1:0.69691564 2:0.48885268 3:0.35289928 4:0.61359907 5:0.7217863 6:0.78790011 \n4 1:0.28569186 2:0.20629643 3:0.076468978 4:0.29833807 5:0.37989948 6:0.4576277 \n4 1:0.99718538 2:0.014623935 3:1 4:1 5:1 6:1 \n-4 1:0.26623337 2:1 3:0.084027451 4:0.15537936 5:0.17410072 6:0.17212333 \n4 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n-4 1:0.6483368 2:0.04579546 3:0.45989947 4:0.82115248 5:0.92520734 6:0.9594384 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n-4 1:0.51603659 2:1 3:0.14452095 4:0.31406915 5:0.38353445 6:0.42653517 \n4 1:0.76399364 2:0.04579546 3:0.52334234 4:0.88859427 5:0.94013924 6:0.95946903 \n-4 1:0.77257175 2:0.08765484 3:0.5597726 4:0.80653689 5:0.88996341 6:0.92691132 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n-4 1:0.83089047 2:0.014623935 3:0.80905852 4:0.94637428 5:0.97242826 6:0.97946694 \n-0.284844952026575 1:0.38478895 2:0.083369236 3:0.28184137 4:0.37025203 5:0.46733936 6:0.53517338 \n4 1:0.25896526 2:0.04579546 3:0.31879 4:0.45852885 5:0.59717781 6:0.71487885 \n-4 1:0.45809369 2:0.08765484 3:0.36628046 4:0.45852823 5:0.56005228 6:0.65708595 \n-4 1:0.74285042 2:0.48885268 3:0.35394597 4:0.61189191 5:0.70897304 6:0.77099691 \n-4 1:0.83887552 2:0.08765484 3:0.58154998 4:0.82429855 5:0.8858516 6:0.91563291 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n4 1:0.96968854 2:0.08765484 3:0.77391346 4:0.95596295 5:0.97544784 6:0.98405871 \n-4 1:0.66561759 2:0.083369236 3:0.37833052 4:0.59301482 5:0.71772587 6:0.7905538 \n-4 1:0.54042467 2:0.15600331 3:0.046271684 4:0.4328793 5:0.5309142 6:0.59282089 \n-4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n",
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"slopes": [
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0.012020766332648465,
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2.7863890579902773,
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0.06264407466686016,
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1.222763456258933,
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1.5360318811084146,
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1.7620864995501058,
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2.08656468286432
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]
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}
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},
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"19": {
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"param_dict": {
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"C": 4.0,
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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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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"num_models": 21,
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"nu": 0.9,
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"gamma": 0.04
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},
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"model_dict": {
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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},
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"feature_dict": {
|
|
"VMAF_feature": [
|
|
"vif_scale0",
|
|
"vif_scale1",
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"vif_scale2",
|
|
"vif_scale3",
|
|
"adm2",
|
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"motion2"
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]
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},
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"norm_type": "linear_rescale",
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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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"feature_names": [
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"VMAF_feature_adm2_score",
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"VMAF_feature_motion2_score",
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"VMAF_feature_vif_scale0_score",
|
|
"VMAF_feature_vif_scale1_score",
|
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"VMAF_feature_vif_scale2_score",
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"VMAF_feature_vif_scale3_score"
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],
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"intercepts": [
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-0.3092981927591963,
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],
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"model_type": "BOOTSTRAP_LIBSVMNUSVR",
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3:0.28594627 4:0.63969879 5:0.73360583 6:0.78380069 \n-4 1:0.4874691 2:0.23066177 3:0.32329421 4:0.33686197 5:0.39456977 6:0.44944683 \n4 1:0.10775597 2:0.055921852 3:0.1590151 4:0.30536689 5:0.48614515 6:0.64344462 \n-4 1:0.78583004 2:0.48885268 3:0.4012577 4:0.70792536 5:0.80063653 6:0.85083872 \n4 1:0.66777856 2:0.42532178 3:0.30879992 4:0.60375124 5:0.70097073 6:0.75507206 \n-4 1:0.51012298 2:0.25207203 3:0.2005129 4:0.41516485 5:0.45282017 6:0.47396143 \n-4 1:0.48387441 2:0.20820673 3:0.20172681 4:0.39715881 5:0.47368229 6:0.52781628 \n4 1:0.87998127 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n3.566776002325675 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n-4 1:0.45809369 2:0.08765484 3:0.36628046 4:0.45852823 5:0.56005228 6:0.65708595 \n-4 1:0.69691564 2:0.48885268 3:0.35289928 4:0.61359907 5:0.7217863 6:0.78790011 \n3.139278243844358 1:0.3594872 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n4 1:0.89725962 2:0.48885268 3:0.5143645 4:0.8587242 5:0.91841685 6:0.94498293 \n1.697481244365876 1:0.54792627 2:0.055921852 3:0.26207179 4:0.59416461 5:0.75957205 6:0.82870539 \n4 1:0.98791521 2:0.04579546 3:0.90293444 4:0.99181622 5:0.99642641 6:0.9978864 \n-4 1:0.78583004 2:0.48885268 3:0.4012577 4:0.70792536 5:0.80063653 6:0.85083872 \n",
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"slopes": [
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0.012020766332648465,
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2.7863890579902773,
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0.06264407466686016,
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1.222763456258933,
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1.5360318811084146,
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1.7620864995501058,
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2.08656468286432
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]
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}
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},
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"20": {
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"param_dict": {
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"C": 4.0,
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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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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"num_models": 21,
|
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"nu": 0.9,
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"gamma": 0.04
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},
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"model_dict": {
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"score_transform": {
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"p2": -0.00705305,
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"out_gte_in": "true",
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"p0": 1.70674692,
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"p1": 1.72643844
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},
|
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"feature_dict": {
|
|
"VMAF_feature": [
|
|
"vif_scale0",
|
|
"vif_scale1",
|
|
"vif_scale2",
|
|
"vif_scale3",
|
|
"adm2",
|
|
"motion2"
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]
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},
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"norm_type": "linear_rescale",
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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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"feature_names": [
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"VMAF_feature_adm2_score",
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"VMAF_feature_motion2_score",
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"VMAF_feature_vif_scale0_score",
|
|
"VMAF_feature_vif_scale1_score",
|
|
"VMAF_feature_vif_scale2_score",
|
|
"VMAF_feature_vif_scale3_score"
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],
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"intercepts": [
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-0.3092981927591963,
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],
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"model_type": "BOOTSTRAP_LIBSVMNUSVR",
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"slopes": [
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