mmpose-0.29.0/tests/test_post_processing/test_nms.py

# Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import pytest

from mmpose.core.post_processing.nms import (nearby_joints_nms, nms, oks_iou,
 oks_nms, soft_oks_nms)


def test_soft_oks_nms():
 oks_thr = 0.9
 kpts = []
 kpts.append({
 'keypoints': np.tile(np.array([10, 10, 0.9]), [17, 1]),
 'area': 100,
 'score': 0.9
 })
 kpts.append({
 'keypoints': np.tile(np.array([10, 10, 0.9]), [17, 1]),
 'area': 100,
 'score': 0.4
 })
 kpts.append({
 'keypoints': np.tile(np.array([100, 100, 0.9]), [17, 1]),
 'area': 100,
 'score': 0.7
 })

 keep = soft_oks_nms([kpts[i] for i in range(len(kpts))], oks_thr)
 assert (keep == np.array([0, 2, 1])).all()

 keep = oks_nms([kpts[i] for i in range(len(kpts))], oks_thr)
 assert (keep == np.array([0, 2])).all()

 kpts_with_score_joints = []
 kpts_with_score_joints.append({
 'keypoints':
 np.tile(np.array([10, 10, 0.9]), [17, 1]),
 'area':
 100,
 'score':
 np.tile(np.array([0.9]), 17)
 })
 kpts_with_score_joints.append({
 'keypoints':
 np.tile(np.array([10, 10, 0.9]), [17, 1]),
 'area':
 100,
 'score':
 np.tile(np.array([0.4]), 17)
 })
 kpts_with_score_joints.append({
 'keypoints':
 np.tile(np.array([100, 100, 0.9]), [17, 1]),
 'area':
 100,
 'score':
 np.tile(np.array([0.7]), 17)
 })
 keep = soft_oks_nms([
 kpts_with_score_joints[i] for i in range(len(kpts_with_score_joints))
 ],
 oks_thr,
 score_per_joint=True)
 assert (keep == np.array([0, 2, 1])).all()

 keep = oks_nms([
 kpts_with_score_joints[i] for i in range(len(kpts_with_score_joints))
 ],
 oks_thr,
 score_per_joint=True)
 assert (keep == np.array([0, 2])).all()


def test_func_nms():
 result = nms(np.array([[0, 0, 10, 10, 0.9], [0, 0, 10, 8, 0.8]]), 0.5)
 assert result == [0]


def test_oks_iou():
 result = oks_iou(np.ones([17 * 3]), np.ones([1, 17 * 3]), 1, [1])
 assert result[0] == 1.
 result = oks_iou(np.zeros([17 * 3]), np.ones([1, 17 * 3]), 1, [1])
 assert result[0] < 0.01


def test_nearby_joints_nms():

 kpts_db = []
 keep_pose_inds = nearby_joints_nms(
 kpts_db, 0.05, score_per_joint=True, max_dets=1)
 assert len(keep_pose_inds) == 0

 kpts_db = []
 for _ in range(5):
 kpts_db.append(
 dict(keypoints=np.random.rand(3, 2), score=np.random.rand(3)))
 keep_pose_inds = nearby_joints_nms(
 kpts_db, 0.05, score_per_joint=True, max_dets=1)
 assert len(keep_pose_inds) == 1
 assert keep_pose_inds[0] < 5

 kpts_db = []
 for _ in range(5):
 kpts_db.append(
 dict(keypoints=np.random.rand(3, 2), score=np.random.rand()))
 keep_pose_inds = nearby_joints_nms(kpts_db, 0.05, num_nearby_joints_thr=2)
 assert len(keep_pose_inds) <= 5 and len(keep_pose_inds) > 0

 with pytest.raises(AssertionError):
 _ = nearby_joints_nms(kpts_db, 0, num_nearby_joints_thr=2)

 with pytest.raises(AssertionError):
 _ = nearby_joints_nms(kpts_db, 0.05, num_nearby_joints_thr=3)