d64edeaad6dcfe11199f808374ba2c42f6b5bd8d,python/vmaf/core/vmafexec_feature_extractor.py,FloatVifFeatureExtractor,FloatVifFeatureExtractor_1,#,82

Before Change


                     "vif_den_scale3_egl_1.10",
                     ]

    ATOM_FEATURES_TO_VMAFEXEC_KEY_DICT = {
        "vif_scale0": "vif_scale0",
        "vif_scale1": "vif_scale1",
        "vif_scale2": "vif_scale2",
        "vif_scale3": "vif_scale3",
        "vif": "vif",
        "vif_num": "vif_num",
        "vif_den": "vif_den",
        "vif_num_scale0": "vif_num_scale0",
        "vif_den_scale0": "vif_den_scale0",
        "vif_num_scale1": "vif_num_scale1",
        "vif_den_scale1": "vif_den_scale1",
        "vif_num_scale2": "vif_num_scale2",
        "vif_den_scale2": "vif_den_scale2",
        "vif_num_scale3": "vif_num_scale3",
        "vif_den_scale3": "vif_den_scale3",

        "vif_scale0_egl_1.00": "vif_scale0_egl_1.00",
        "vif_scale1_egl_1.00": "vif_scale1_egl_1.00",
        "vif_scale2_egl_1.00": "vif_scale2_egl_1.00",
        "vif_scale3_egl_1.00": "vif_scale3_egl_1.00",
        "vif_egl_1.00": "vif_egl_1.00",
        "vif_num_egl_1.00": "vif_num_egl_1.00",
        "vif_den_egl_1.00": "vif_den_egl_1.00",
        "vif_num_scale0_egl_1.00": "vif_num_scale0_egl_1.00",
        "vif_den_scale0_egl_1.00": "vif_den_scale0_egl_1.00",
        "vif_num_scale1_egl_1.00": "vif_num_scale1_egl_1.00",
        "vif_den_scale1_egl_1.00": "vif_den_scale1_egl_1.00",
        "vif_num_scale2_egl_1.00": "vif_num_scale2_egl_1.00",
        "vif_den_scale2_egl_1.00": "vif_den_scale2_egl_1.00",
        "vif_num_scale3_egl_1.00": "vif_num_scale3_egl_1.00",
        "vif_den_scale3_egl_1.00": "vif_den_scale3_egl_1.00",

        "vif_scale0_egl_1.10": "vif_scale0_egl_1.10",
        "vif_scale1_egl_1.10": "vif_scale1_egl_1.10",
        "vif_scale2_egl_1.10": "vif_scale2_egl_1.10",
        "vif_scale3_egl_1.10": "vif_scale3_egl_1.10",
        "vif_egl_1.10": "vif_egl_1.10",
        "vif_num_egl_1.10": "vif_num_egl_1.10",
        "vif_den_egl_1.10": "vif_den_egl_1.10",
        "vif_num_scale0_egl_1.10": "vif_num_scale0_egl_1.10",
        "vif_den_scale0_egl_1.10": "vif_den_scale0_egl_1.10",
        "vif_num_scale1_egl_1.10": "vif_num_scale1_egl_1.10",
        "vif_den_scale1_egl_1.10": "vif_den_scale1_egl_1.10",
        "vif_num_scale2_egl_1.10": "vif_num_scale2_egl_1.10",
        "vif_den_scale2_egl_1.10": "vif_den_scale2_egl_1.10",
        "vif_num_scale3_egl_1.10": "vif_num_scale3_egl_1.10",
        "vif_den_scale3_egl_1.10": "vif_den_scale3_egl_1.10",
    }

    def _generate_result(self, asset):
        // routine to call the command-line executable and generate quality
        // scores in the log file.

After Change


                     "vif_den_scale3_egl_1.1",
                     ]

    ATOM_FEATURES_TO_VMAFEXEC_KEY_DICT = {
        "vif_scale0": "vif_scale0",
        "vif_scale1": "vif_scale1",
        "vif_scale2": "vif_scale2",
        "vif_scale3": "vif_scale3",
        "vif": "vif",
        "vif_num": "vif_num",
        "vif_den": "vif_den",
        "vif_num_scale0": "vif_num_scale0",
        "vif_den_scale0": "vif_den_scale0",
        "vif_num_scale1": "vif_num_scale1",
        "vif_den_scale1": "vif_den_scale1",
        "vif_num_scale2": "vif_num_scale2",
        "vif_den_scale2": "vif_den_scale2",
        "vif_num_scale3": "vif_num_scale3",
        "vif_den_scale3": "vif_den_scale3",

        "vif_scale0_egl_1": "vif_scale0_egl_1",
        "vif_scale1_egl_1": "vif_scale1_egl_1",
        "vif_scale2_egl_1": "vif_scale2_egl_1",
        "vif_scale3_egl_1": "vif_scale3_egl_1",
        "vif_egl_1": "vif_egl_1",
        "vif_num_egl_1": "vif_num_egl_1",
        "vif_den_egl_1": "vif_den_egl_1",
        "vif_num_scale0_egl_1": "vif_num_scale0_egl_1",
        "vif_den_scale0_egl_1": "vif_den_scale0_egl_1",
        "vif_num_scale1_egl_1": "vif_num_scale1_egl_1",
        "vif_den_scale1_egl_1": "vif_den_scale1_egl_1",
        "vif_num_scale2_egl_1": "vif_num_scale2_egl_1",
        "vif_den_scale2_egl_1": "vif_den_scale2_egl_1",
        "vif_num_scale3_egl_1": "vif_num_scale3_egl_1",
        "vif_den_scale3_egl_1": "vif_den_scale3_egl_1",

        "vif_scale0_egl_1.1": "vif_scale0_egl_1.1",
        "vif_scale1_egl_1.1": "vif_scale1_egl_1.1",
        "vif_scale2_egl_1.1": "vif_scale2_egl_1.1",
        "vif_scale3_egl_1.1": "vif_scale3_egl_1.1",
        "vif_egl_1.1": "vif_egl_1.1",
        "vif_num_egl_1.1": "vif_num_egl_1.1",
        "vif_den_egl_1.1": "vif_den_egl_1.1",
        "vif_num_scale0_egl_1.1": "vif_num_scale0_egl_1.1",
        "vif_den_scale0_egl_1.1": "vif_den_scale0_egl_1.1",
        "vif_num_scale1_egl_1.1": "vif_num_scale1_egl_1.1",
        "vif_den_scale1_egl_1.1": "vif_den_scale1_egl_1.1",
        "vif_num_scale2_egl_1.1": "vif_num_scale2_egl_1.1",
        "vif_den_scale2_egl_1.1": "vif_den_scale2_egl_1.1",
        "vif_num_scale3_egl_1.1": "vif_num_scale3_egl_1.1",
        "vif_den_scale3_egl_1.1": "vif_den_scale3_egl_1.1",
    }

    def _generate_result(self, asset):
        // routine to call the command-line executable and generate quality
        // scores in the log file.
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 2

Instances


Project Name: Netflix/vmaf
Commit Name: d64edeaad6dcfe11199f808374ba2c42f6b5bd8d
Time: 2020-12-30
Author: kswanson@netflix.com
File Name: python/vmaf/core/vmafexec_feature_extractor.py
Class Name: FloatVifFeatureExtractor
Method Name: FloatVifFeatureExtractor_1


Project Name: Netflix/vmaf
Commit Name: d64edeaad6dcfe11199f808374ba2c42f6b5bd8d
Time: 2020-12-30
Author: kswanson@netflix.com
File Name: python/vmaf/core/vmafexec_feature_extractor.py
Class Name: IntegerVifFeatureExtractor
Method Name: IntegerVifFeatureExtractor_1


Project Name: sobhe/hazm
Commit Name: 8e981c58a192df1f7c1a675abb1cebaa3b8d3462
Time: 2013-12-03
Author: alireza.nournia@gmail.com
File Name: hazm/BijankhanReader.py
Class Name:
Method Name: