challenge/2019_COCO_DensePose/densepose_cocoeval.py [1130:1185]:
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                if j == i:
                    dists.append(0)
                elif j > i:
                    ccc = i
                    i = j
                    j = ccc
                    i = n-i-1
                    j = n-j-1
                    k = (n*(n-1)/2) - (n-i)*((n-i)-1)/2 + j - i - 1
                    k =  ( n*n - n )/2 -k -1
                    dists.append(self.Pdist_matrix[int(k)][0])
                else:
                    i= n-i-1
                    j= n-j-1
                    k = (n*(n-1)/2) - (n-i)*((n-i)-1)/2 + j - i - 1
                    k =  ( n*n - n )/2 -k -1
                    dists.append(self.Pdist_matrix[int(k)][0])
            else:
                dists.append(np.inf)
        return np.array(dists).squeeze()

class Params:
    '''
    Params for coco evaluation api
    '''
    def setDetParams(self):
        self.imgIds = []
        self.catIds = []
        # np.arange causes trouble.  the data point on arange is slightly larger than the true value
        self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)
        self.recThrs = np.linspace(.0, 1.00, np.round((1.00 - .0) / .01) + 1, endpoint=True)
        self.maxDets = [1, 10, 100]
        self.areaRng = [[0 ** 2, 1e5 ** 2], [0 ** 2, 32 ** 2], [32 ** 2, 96 ** 2], [96 ** 2, 1e5 ** 2]]
        self.areaRngLbl = ['all', 'small', 'medium', 'large']
        self.useCats = 1

    def setKpParams(self):
        self.imgIds = []
        self.catIds = []
        # np.arange causes trouble.  the data point on arange is slightly larger than the true value
        self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)
        self.recThrs = np.linspace(.0, 1.00, np.round((1.00 - .0) / .01) + 1, endpoint=True)
        self.maxDets = [20]
        self.areaRng = [[0 ** 2, 1e5 ** 2], [32 ** 2, 96 ** 2], [96 ** 2, 1e5 ** 2]]
        self.areaRngLbl = ['all', 'medium', 'large']
        self.useCats = 1

    def setUvParams(self):
        self.imgIds = []
        self.catIds = []
        self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)
        self.recThrs = np.linspace(.0, 1.00, np.round((1.00 - .0) / .01) + 1, endpoint=True)
        self.maxDets = [20]
        self.areaRng = [[0 ** 2, 1e5 ** 2], [32 ** 2, 96 ** 2], [96 ** 2, 1e5 ** 2]]
        self.areaRngLbl = ['all', 'medium', 'large']
        self.useCats = 1
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detectron/datasets/densepose_cocoeval.py [801:857]:
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                    if j == i:
                        dists.append(0)
                    elif j > i:
                        ccc = i
                        i = j
                        j = ccc
                        i = n-i-1
                        j = n-j-1
                        k = (n*(n-1)/2) - (n-i)*((n-i)-1)/2 + j - i - 1
                        k =  ( n*n - n )/2 -k -1
                        dists.append(self.Pdist_matrix[int(k)][0])
                    else:
                        i= n-i-1
                        j= n-j-1
                        k = (n*(n-1)/2) - (n-i)*((n-i)-1)/2 + j - i - 1
                        k =  ( n*n - n )/2 -k -1
                        dists.append(self.Pdist_matrix[int(k)][0])
                else:
                    dists.append(np.inf)
        return np.array(dists).squeeze()


class Params:
    '''
    Params for coco evaluation api
    '''
    def setDetParams(self):
        self.imgIds = []
        self.catIds = []
        # np.arange causes trouble.  the data point on arange is slightly larger than the true value
        self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)
        self.recThrs = np.linspace(.0, 1.00, np.round((1.00 - .0) / .01) + 1, endpoint=True)
        self.maxDets = [1, 10, 100]
        self.areaRng = [[0 ** 2, 1e5 ** 2], [0 ** 2, 32 ** 2], [32 ** 2, 96 ** 2], [96 ** 2, 1e5 ** 2]]
        self.areaRngLbl = ['all', 'small', 'medium', 'large']
        self.useCats = 1

    def setKpParams(self):
        self.imgIds = []
        self.catIds = []
        # np.arange causes trouble.  the data point on arange is slightly larger than the true value
        self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)
        self.recThrs = np.linspace(.0, 1.00, np.round((1.00 - .0) / .01) + 1, endpoint=True)
        self.maxDets = [20]
        self.areaRng = [[0 ** 2, 1e5 ** 2], [32 ** 2, 96 ** 2], [96 ** 2, 1e5 ** 2]]
        self.areaRngLbl = ['all', 'medium', 'large']
        self.useCats = 1

    def setUvParams(self):
        self.imgIds = []
        self.catIds = []
        self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)
        self.recThrs = np.linspace(.0, 1.00, np.round((1.00 - .0) / .01) + 1, endpoint=True)
        self.maxDets = [20]
        self.areaRng = [[0 ** 2, 1e5 ** 2], [32 ** 2, 96 ** 2], [96 ** 2, 1e5 ** 2]]
        self.areaRngLbl = ['all', 'medium', 'large']
        self.useCats = 1
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