def _generate_result(self, asset):
# routine to call the command-line executable and generate feature
# scores in the log file.
quality_width, quality_height = asset.quality_width_height
log_file_path = self._get_log_file_path(asset)
yuv_type = self._get_workfile_yuv_type(asset)
ref_path = asset.ref_procfile_path
dis_path = asset.dis_procfile_path
w = quality_width
h = quality_height
logger = self.logger
ExternalProgramCaller.call_vmafexec_multi_features(
['float_adm', 'float_vif', 'float_motion', 'float_ansnr'],
yuv_type,
ref_path,
dis_path,
w,
h,
log_file_path,
logger,
options={
'float_adm': {
'debug': True
},
'float_vif': {
'debug': True
},
'float_motion': {
'debug': True
},
})
def _generate_result(self, asset):
quality_width, quality_height = asset.quality_width_height
log_file_path = self._get_log_file_path(asset)
yuv_type = self._get_workfile_yuv_type(asset)
ref_path = asset.ref_procfile_path
dis_path = asset.dis_procfile_path
w = quality_width
h = quality_height
logger = self.logger
ExternalProgramCaller.call_vmafexec_multi_features(
['adm', 'vif', 'motion', 'float_ansnr'],
yuv_type,
ref_path,
dis_path,
w,
h,
log_file_path,
logger,
options={
'adm': {
'debug': True
},
'vif': {
'debug': True
},
'motion': {
'debug': True
},
})
def _generate_result(self, asset):
quality_width, quality_height = asset.quality_width_height
log_file_path = self._get_log_file_path(asset)
yuv_type = self._get_workfile_yuv_type(asset)
ref_path = asset.ref_procfile_path
dis_path = asset.dis_procfile_path
w = quality_width
h = quality_height
logger = self.logger
features = ['adm', 'vif', 'motion', 'float_ansnr']
options = {
'adm': {
'debug': True
},
'vif': {
'debug': True
},
'motion': {
'debug': True
},
}
if self.optional_dict is not None:
for opt in self.optional_dict:
if opt == 'vif_enhn_gain_limit':
options['vif']['vif_enhn_gain_limit'] = self.optional_dict[
'vif_enhn_gain_limit']
elif opt == 'adm_enhn_gain_limit':
options['adm']['adm_enhn_gain_limit'] = self.optional_dict[
'adm_enhn_gain_limit']
elif opt == 'adm_norm_view_dist':
options['adm']['adm_norm_view_dist'] = self.optional_dict[
'adm_norm_view_dist']
elif opt == 'adm_ref_display_height':
options['adm'][
'adm_ref_display_height'] = self.optional_dict[
'adm_ref_display_height']
elif opt == 'motion_force_zero':
options['motion'][
'motion_force_zero'] = self.optional_dict[
'motion_force_zero']
else:
pass
ExternalProgramCaller.call_vmafexec_multi_features(features,
yuv_type,
ref_path,
dis_path,
w,
h,
log_file_path,
logger,
options=options)
def _generate_result(self, asset):
# routine to call the command-line executable and generate feature
# scores in the log file.
quality_width, quality_height = asset.quality_width_height
log_file_path = self._get_log_file_path(asset)
yuv_type = self._get_workfile_yuv_type(asset)
ref_path = asset.ref_procfile_path
dis_path = asset.dis_procfile_path
w = quality_width
h = quality_height
logger = self.logger
features = ['float_adm', 'float_vif', 'float_motion', 'float_ansnr']
options = {
'float_adm': {
'debug': True
},
'float_vif': {
'debug': True
},
'float_motion': {
'debug': True
},
}
if self.optional_dict is not None:
for opt in self.optional_dict:
if opt == 'vif_enhn_gain_limit':
options['float_vif'][
'vif_enhn_gain_limit'] = self.optional_dict[
'vif_enhn_gain_limit']
elif opt == 'vif_kernelscale':
options['float_vif'][
'vif_kernelscale'] = self.optional_dict[
'vif_kernelscale']
elif opt == 'adm_enhn_gain_limit':
options['float_adm'][
'adm_enhn_gain_limit'] = self.optional_dict[
'adm_enhn_gain_limit']
elif opt == 'adm_norm_view_dist':
options['float_adm'][
'adm_norm_view_dist'] = self.optional_dict[
'adm_norm_view_dist']
elif opt == 'adm_ref_display_height':
options['float_adm'][
'adm_ref_display_height'] = self.optional_dict[
'adm_ref_display_height']
elif opt == 'motion_force_zero':
options['float_motion'][
'motion_force_zero'] = self.optional_dict[
'motion_force_zero']
else:
pass
if self.optional_dict2 is not None:
for opt in self.optional_dict2:
if opt == 'disable_avx':
options['disable_avx'] = self.optional_dict2['disable_avx']
ExternalProgramCaller.call_vmafexec_multi_features(features,
yuv_type,
ref_path,
dis_path,
w,
h,
log_file_path,
logger,
options=options)
