# [64 ** 2, 96 ** 2],
# [96 ** 2, 1e5 ** 2]]
# cocoEval.params.areaRngLbl = ['all', 'small', 'sm', 'medium', 'large']
# area_seq = [32**2, 96**2]
area_seq = [400, 800]
cocoEval.params.areaRng = [[0**2, 10e5**2], [0**2, area_seq[0]],
[area_seq[0], area_seq[1]], [area_seq[1], 1e5**2]]
cocoEval.params.areaRngLbl = [
'all', 's_' + str(area_seq[0]), 'medium', 'l_' + str(area_seq[1])
]
cocoEval.params.iouThrSpec = 0.5
cocoEval.params.scoreThrs = [0.01, 0.05, 0.1, 0.2, 0.5]
cocoEval.evaluate()
cocoEval.accumulate()
# cocoEval.summarize(per_category=True, final_pr=True)
cocoEval.summarize(per_category=True, final_pr=False)
cocoGt.printCatNums()
cocoEval.computePR()
# cocoEval.params.catIds = cocoGt.getCatIds(catNms=["cat1"])
# cocoEval.evaluate()
# cocoEval.accumulate()
# cocoEval.summarize(final_pr=True)
#
# cocoEval.params.catIds = cocoGt.getCatIds(catNms=["cat2"])
# cocoEval.evaluate()
# cocoEval.accumulate()
# cocoEval.summarize(final_pr=True)
