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| import argparse
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| import os
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| import pdb
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| import numpy as np
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| from lib.utils.helpers.image_helper import ImageHelper
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| from lib.utils.tools.logger import Logger as Log
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| from lib.utils.tools.configer import Configer
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| from lib.metrics.running_score import RunningScore
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| class PascalContextEvaluator(object):
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| def __init__(self, configer):
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| self.configer = configer
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| self.seg_running_score = RunningScore(configer)
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| def relabel(self, labelmap):
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| return (labelmap - 1).astype(np.uint8)
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| def evaluate(self, pred_dir, gt_dir):
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| img_cnt = 0
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| for filename in os.listdir(pred_dir):
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| print(filename)
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| pred_path = os.path.join(pred_dir, filename)
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| gt_path = os.path.join(gt_dir, filename)
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| predmap = ImageHelper.img2np(ImageHelper.read_image(pred_path, tool='pil', mode='P'))
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| gtmap = ImageHelper.img2np(ImageHelper.read_image(gt_path, tool='pil', mode='P'))
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| predmap = self.relabel(predmap)
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| gtmap = self.relabel(gtmap)
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| self.seg_running_score.update(predmap[np.newaxis, :, :], gtmap[np.newaxis, :, :])
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| img_cnt += 1
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| Log.info('Evaluate {} images'.format(img_cnt))
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| Log.info('mIOU: {}'.format(self.seg_running_score.get_mean_iou()))
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| Log.info('Pixel ACC: {}'.format(self.seg_running_score.get_pixel_acc()))
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| if __name__ == "__main__":
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| parser = argparse.ArgumentParser()
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| parser.add_argument('--configs', default=None, type=str,
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| dest='configs', help='The configs file of pose.')
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| parser.add_argument('--gt_dir', default=None, type=str,
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| dest='gt_dir', help='The groundtruth annotations.')
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| parser.add_argument('--pred_dir', default=None, type=str,
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| dest='pred_dir', help='The label dir of predict annotations.')
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| args = parser.parse_args()
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| pcontext_evaluator = PascalContextEvaluator(Configer(configs=args.configs))
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| pcontext_evaluator.evaluate(args.pred_dir, args.gt_dir)
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