#!/usr/bin/env python # -*- coding:utf-8 -*- # Author: RainbowSecret(yuyua@microsoft.com) import argparse import os import pdb import numpy as np from lib.utils.helpers.image_helper import ImageHelper from lib.utils.tools.logger import Logger as Log from lib.utils.tools.configer import Configer from lib.metrics.running_score import RunningScore class PascalContextEvaluator(object): def __init__(self, configer): self.configer = configer self.seg_running_score = RunningScore(configer) def relabel(self, labelmap): return (labelmap - 1).astype(np.uint8) def evaluate(self, pred_dir, gt_dir): img_cnt = 0 for filename in os.listdir(pred_dir): print(filename) pred_path = os.path.join(pred_dir, filename) gt_path = os.path.join(gt_dir, filename) predmap = ImageHelper.img2np(ImageHelper.read_image(pred_path, tool='pil', mode='P')) gtmap = ImageHelper.img2np(ImageHelper.read_image(gt_path, tool='pil', mode='P')) predmap = self.relabel(predmap) gtmap = self.relabel(gtmap) self.seg_running_score.update(predmap[np.newaxis, :, :], gtmap[np.newaxis, :, :]) img_cnt += 1 Log.info('Evaluate {} images'.format(img_cnt)) Log.info('mIOU: {}'.format(self.seg_running_score.get_mean_iou())) Log.info('Pixel ACC: {}'.format(self.seg_running_score.get_pixel_acc())) if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument('--configs', default=None, type=str, dest='configs', help='The configs file of pose.') parser.add_argument('--gt_dir', default=None, type=str, dest='gt_dir', help='The groundtruth annotations.') parser.add_argument('--pred_dir', default=None, type=str, dest='pred_dir', help='The label dir of predict annotations.') args = parser.parse_args() pcontext_evaluator = PascalContextEvaluator(Configer(configs=args.configs)) pcontext_evaluator.evaluate(args.pred_dir, args.gt_dir)