447f94818fce0e45ee008ab5ef3f5c93e3416dc3,debug.py,,,#,5

Before Change

        pt[1] = randint(0, 63)
        // print(pt)
        scores[i, j, :, :] = draw_gaussian2(to_torch(scores[i, j, :, :]), pt, sigma)
        gt = np.zeros(2, dtype="int")
        gt[0] = pt[0] + randint(0,2)
        gt[1] = pt[1] + randint(0,4)
        target[i, j, :, :] = draw_gaussian2(to_torch(target[i, j, :, :]), gt, sigma)

acc = accuracy(scores, target, idx)
print(acc)

After Change

        // print(pt)
        scores[i, j, :, :] = draw_gaussian2(to_torch(scores[i, j, :, :]), pt, sigma)
        if win == None:
            win = plt.imshow(scores[i,j,:,:].numpy())
        else:
            win.set_data(scores[i,j,:,:].numpy())
        plt.pause(.3)

Instances