def accuracy()

in lib/core/evaluate.py [0:0]

• 28 lines of code
• 6 McCabe index (conditional complexity)

def accuracy(output, target, hm_type='gaussian', thr=0.5):
    '''
    Calculate accuracy according to PCK,
    but uses ground truth heatmap rather than x,y locations
    First value to be returned is average accuracy across 'idxs',
    followed by individual accuracies
    '''
    idx = list(range(output.shape[1]))
    norm = 1.0
    if hm_type == 'gaussian':
        pred, _ = get_max_preds(output)
        target, _ = get_max_preds(target)
        h = output.shape[2]
        w = output.shape[3]
        norm = np.ones((pred.shape[0], 2)) * np.array([h, w]) / 10
    dists = calc_dists(pred, target, norm)

    acc = np.zeros((len(idx) + 1))
    avg_acc = 0
    cnt = 0

    for i in range(len(idx)):
        acc[i + 1] = dist_acc(dists[idx[i]])
        if acc[i + 1] >= 0:
            avg_acc = avg_acc + acc[i + 1]
            cnt += 1

    avg_acc = avg_acc / cnt if cnt != 0 else 0
    if cnt != 0:
        acc[0] = avg_acc
    return acc, avg_acc, cnt, pred