import numpy as np import sys import time from shapely.geometry import Polygon import paddle import unittest from ext_op import matched_rbox_iou def rbox2poly_single(rrect, get_best_begin_point=False): """ rrect:[x_ctr,y_ctr,w,h,angle] to poly:[x0,y0,x1,y1,x2,y2,x3,y3] """ x_ctr, y_ctr, width, height, angle = rrect[:5] tl_x, tl_y, br_x, br_y = -width / 2, -height / 2, width / 2, height / 2 # rect 2x4 rect = np.array([[tl_x, br_x, br_x, tl_x], [tl_y, tl_y, br_y, br_y]]) R = np.array([[np.cos(angle), -np.sin(angle)], [np.sin(angle), np.cos(angle)]]) # poly poly = R.dot(rect) x0, x1, x2, x3 = poly[0, :4] + x_ctr y0, y1, y2, y3 = poly[1, :4] + y_ctr poly = np.array([x0, y0, x1, y1, x2, y2, x3, y3], dtype=np.float64) return poly def intersection(g, p): """ Intersection. """ g = g[:8].reshape((4, 2)) p = p[:8].reshape((4, 2)) a = g b = p use_filter = True if use_filter: # step1: inter_x1 = np.maximum(np.min(a[:, 0]), np.min(b[:, 0])) inter_x2 = np.minimum(np.max(a[:, 0]), np.max(b[:, 0])) inter_y1 = np.maximum(np.min(a[:, 1]), np.min(b[:, 1])) inter_y2 = np.minimum(np.max(a[:, 1]), np.max(b[:, 1])) if inter_x1 >= inter_x2 or inter_y1 >= inter_y2: return 0. x1 = np.minimum(np.min(a[:, 0]), np.min(b[:, 0])) x2 = np.maximum(np.max(a[:, 0]), np.max(b[:, 0])) y1 = np.minimum(np.min(a[:, 1]), np.min(b[:, 1])) y2 = np.maximum(np.max(a[:, 1]), np.max(b[:, 1])) if x1 >= x2 or y1 >= y2 or (x2 - x1) < 2 or (y2 - y1) < 2: return 0. g = Polygon(g) p = Polygon(p) if not g.is_valid or not p.is_valid: return 0 inter = Polygon(g).intersection(Polygon(p)).area union = g.area + p.area - inter if union == 0: return 0 else: return inter / union def matched_rbox_overlaps(anchors, gt_bboxes, use_cv2=False): """ Args: anchors: [M, 5] x1,y1,x2,y2,angle gt_bboxes: [M, 5] x1,y1,x2,y2,angle Returns: macthed_iou: [M] """ assert anchors.shape[1] == 5 assert gt_bboxes.shape[1] == 5 gt_bboxes_ploy = [rbox2poly_single(e) for e in gt_bboxes] anchors_ploy = [rbox2poly_single(e) for e in anchors] num = len(anchors_ploy) iou = np.zeros((num, ), dtype=np.float64) start_time = time.time() for i in range(num): try: iou[i] = intersection(gt_bboxes_ploy[i], anchors_ploy[i]) except Exception as e: print('cur gt_bboxes_ploy[i]', gt_bboxes_ploy[i], 'anchors_ploy[j]', anchors_ploy[i], e) return iou def gen_sample(n): rbox = np.random.rand(n, 5) rbox[:, 0:4] = rbox[:, 0:4] * 0.45 + 0.001 rbox[:, 4] = rbox[:, 4] - 0.5 return rbox class MatchedRBoxIoUTest(unittest.TestCase): def setUp(self): self.initTestCase() self.rbox1 = gen_sample(self.n) self.rbox2 = gen_sample(self.n) def initTestCase(self): self.n = 1000 def assertAllClose(self, x, y, msg, atol=5e-1, rtol=1e-2): self.assertTrue(np.allclose(x, y, atol=atol, rtol=rtol), msg=msg) def get_places(self): places = [paddle.CPUPlace()] if paddle.device.is_compiled_with_cuda(): places.append(paddle.CUDAPlace(0)) return places def check_output(self, place): paddle.disable_static() pd_rbox1 = paddle.to_tensor(self.rbox1, place=place) pd_rbox2 = paddle.to_tensor(self.rbox2, place=place) actual_t = matched_rbox_iou(pd_rbox1, pd_rbox2).numpy() poly_rbox1 = self.rbox1 poly_rbox2 = self.rbox2 poly_rbox1[:, 0:4] = self.rbox1[:, 0:4] * 1024 poly_rbox2[:, 0:4] = self.rbox2[:, 0:4] * 1024 expect_t = matched_rbox_overlaps(poly_rbox1, poly_rbox2, use_cv2=False) self.assertAllClose( actual_t, expect_t, msg="rbox_iou has diff at {} \nExpect {}\nBut got {}".format( str(place), str(expect_t), str(actual_t))) def test_output(self): places = self.get_places() for place in places: self.check_output(place) if __name__ == "__main__": unittest.main()