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import os
import argparse
from evaluation import Evaluator, HeatmapAnalyzer
from evaluation.utils import list_of_strings
def get_arguments():
parser = argparse.ArgumentParser()
# target data
parser.add_argument('--heatmap_root', type=str, default='your_heatmap_root', help='Root directory path of heatmap data')
parser.add_argument('--model', type=str, default='model_name', help='Model name to load from heatmap root directory')
parser.add_argument('--benchmark_path', type=str, default='AVATAR/metadata', help='Benchmark path for metadata')
# for interpolation
parser.add_argument('--height', type=int, default=360, help='height of benchmark data')
parser.add_argument('--width', type=int, default=640, help='width of benchmark data')
parser.add_argument('--heatmap_thresholds', type=list_of_strings, default='0.05,0.1,0.15,0.2', help='heatmap thresholds')
parser.add_argument('--frame_sample_rate', type=int, default=8, help='Interval for sampling frames during interpolation')
parser.add_argument('--video', type=bool, default=True, help='video or image')
return parser.parse_args()
def main(args):
heatmap_analyzer = HeatmapAnalyzer(
args.heatmap_root, args.model, args.heatmap_thresholds, args.benchmark_path,
args.height, args.width, args.frame_sample_rate, args.video
)
evaluator = Evaluator(
args.heatmap_root, args.model, args.benchmark_path,
heatmap_thresholds=args.heatmap_thresholds, height=args.height, width=args.width,
frame_sample_rate=args.frame_sample_rate, video=args.video
)
os.makedirs(os.path.join(args.heatmap_root, args.model), exist_ok=True)
heatmap_analyzer.compute()
evaluator.compute()
if __name__ == '__main__':
args = get_arguments()
main(args) |