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52474be | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | # -*- coding: utf-8 -*-
__author__ = "Chi Xie and Zhao Zhang"
__maintainer__ = "Chi Xie"
# this script takes the result json in, and print evaluation and analysis result on D-cube (FULL/PRES/ABS, etc.)
from pycocotools.coco import COCO
from pycocotools.cocoeval import COCOeval
# Eval results with COCOAPI
gt_path = "./d3_full_annotations.json" # FULL, PRES or ABS
pred_path = None # set your prediction JSON path
coco = COCO(gt_path)
d3_res = coco.loadRes(pred_path)
cocoEval = COCOeval(coco, d3_res, "bbox")
cocoEval.evaluate()
cocoEval.accumulate()
cocoEval.summarize()
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