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# python -W ignore evaluate.py --dimension 'subject_consistency' 'background_consistency' 'aesthetic_quality' 'imaging_quality' --edited_video_path './sample/test'
# python -W ignore evaluate.py --dimension 'subject_consistency' 'background_consistency' 'aesthetic_quality' 'imaging_quality' "ff_alpha" "ff_beta" "semantic_score" "clip_similarity" "success_rate" --original_video_path './sample/bear' --edited_video_path './sample/bear_white' --semantic_mask_path './sample/bear_mask' --source_prompt 'a brown bear walks on rocks' --target_prompt 'a white bear walks on rocks'
# python -W ignore evaluate.py --dimension 'subject_consistency' 'background_consistency' 'aesthetic_quality' 'imaging_quality' "ff_alpha" "ff_beta" "semantic_score" "clip_similarity" "success_rate" --script './script.csv'
# ff_alpha !
# ff_beta !
# semantic_score !
# clip_similarity
# success_rate
import torch
import os
from editboard import EditBoard
import argparse
import json
def parse_args():
parser = argparse.ArgumentParser(description='EditBoard', formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument(
"--output_path",
type=str,
default='./output/',
help="output path to save the evaluation results",
)
parser.add_argument(
"--dimension",
nargs='+',
required=True,
help="list of evaluation dimensions, usage: --dimension <dim_1> <dim_2>",
)
parser.add_argument(
"--result_name",
type=str,
default = "result"
)
parser.add_argument(
"--original_video_path",
type=str,
help="folder that contains all frames of the original video",
default=None
)
parser.add_argument(
"--edited_video_path",
type=str,
help="folder that contains all frames of the edited video",
default=None
)
parser.add_argument(
"--semantic_mask_path",
type=str,
help="folder that contains the semantic mask",
default=None
)
parser.add_argument(
"--source_prompt",
type=str,
default=None
)
parser.add_argument(
"--target_prompt",
type=str,
default=None
)
parser.add_argument(
"--script",
type=str,
default=None,
help="csv or excel are both fine"
)
args = parser.parse_args()
return args
def main():
args = parse_args()
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
print(f"Using {device}")
os.makedirs(args.output_path, exist_ok=True)
my_EditBoard = EditBoard(device, args.output_path)
print(f'Start EditBoard Evaluation!')
my_EditBoard.evaluate(
original_video_path = args.original_video_path,
edited_video_path = args.edited_video_path,
semantic_mask_path = args.semantic_mask_path,
source_prompt = args.source_prompt,
target_prompt = args.target_prompt,
dimension_list = args.dimension,
name = args.result_name,
script = args.script
)
if __name__ == "__main__":
main()
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