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5767e72 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | import os
from vbench2_beta_i2v.utils import init_submodules, save_json, load_json
from vbench import VBench
import importlib
class VBenchI2V(VBench):
def __init__(self, device, full_info_dir, output_path):
super().__init__(device, full_info_dir, output_path)
self.i2v_dims = ["i2v_subject", "i2v_background", "camera_motion"]
self.quality_dims = ["subject_consistency", "background_consistency", "aesthetic_quality", "imaging_quality", "temporal_flickering", "motion_smoothness", "dynamic_degree",]
def build_full_dimension_list(self, ):
return self.i2v_dims + self.quality_dims
def evaluate(self, videos_path, name, dimension_list=None, custom_image_folder=None, mode='vbench_standard', local=False, read_frame=False, resolution="1-1", **kwargs):
results_dict = {}
if dimension_list is None:
dimension_list = self.build_full_dimension_list()
submodules_dict = init_submodules(dimension_list, local=local, read_frame=read_frame, resolution=resolution)
# print('BEFORE BUILDING')
cur_full_info_path = self.build_full_info_json(videos_path, name, dimension_list, custom_image_folder=custom_image_folder, mode=mode)
# print('AFTER BUILDING')
for dimension in dimension_list:
try:
if dimension in self.i2v_dims:
dimension_module = importlib.import_module(f'vbench2_beta_i2v.{dimension}')
else:
dimension_module = importlib.import_module(f'vbench.{dimension}')
evaluate_func = getattr(dimension_module, f'compute_{dimension}')
except Exception as e:
raise NotImplementedError(f'UnImplemented dimension {dimension}!, {e}')
submodules_list = submodules_dict[dimension]
print(f'cur_full_info_path: {cur_full_info_path}') # TODO: to delete
results = evaluate_func(cur_full_info_path, self.device, submodules_list, **kwargs)
results_dict[dimension] = results
output_name = os.path.join(self.output_path, name+'_eval_results.json')
save_json(results_dict, output_name)
print(f'Evaluation results saved to {output_name}')
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