def test_asymmetric_input(device, man_running_image):
model = hg2(pretrained=True)
predictor = HumanPosePredictor(model, device=device, input_shape=(512, 64))
orig_image = man_running_image.clone()
image = predictor.prepare_image(orig_image)
assert image.shape == (3, 512, 64)
heatmaps = predictor.estimate_heatmaps(image)
assert heatmaps.shape == (16, 128, 16)
joints = predictor.estimate_joints(image)
assert all(joints[:, 0] < 64)
assert all(joints[:, 1] < 512)
def test_estimate_heatmaps(device, man_running_image):
model = hg2(pretrained=True)
predictor = HumanPosePredictor(model, device=device)
heatmaps = predictor.estimate_heatmaps(man_running_image)
assert heatmaps.shape == (16, 64, 64)