From 8fac566a87587c519e0252b4db60c43986e6ca4b Mon Sep 17 00:00:00 2001 From: Glenn Jocher Date: Wed, 29 Jan 2020 14:18:45 -0800 Subject: [PATCH] updates --- utils/utils.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/utils/utils.py b/utils/utils.py index 2b3ff82b..a0a29815 100755 --- a/utils/utils.py +++ b/utils/utils.py @@ -799,12 +799,13 @@ def kmean_anchors(path='../coco/train2017.txt', n=9, img_size=(320, 640)): # ax[0].plot(np.arange(1, 21), np.array(d) ** 2, marker='.') # Evolve + npr = np.random wh = torch.Tensor(wh) - f, sh, ng, mp, s = fitness(thr, wh, k), k.shape, 1000, 0.1, 0.3 # fitness, generations, mutation probability, sigma + f, sh, ng, mp, s = fitness(thr, wh, k), k.shape, 1000, 0.9, 0.1 # fitness, generations, mutation probability, sigma for _ in tqdm(range(ng), desc='Evolving anchors'): v = np.ones(sh) while (v == 1).all(): # mutate until a change occurs (prevent duplicates) - v = ((np.random.random(sh) < mp) * np.random.randn(*sh) * s + 1) ** 2.0 + v = ((npr.random(sh) < mp) * npr.random() * npr.randn(*sh) * s + 1).clip(0.3, 3.0) # 98.6, 61.6 kg = (k.copy() * v).clip(min=2.0) fg = fitness(thr, wh, kg) if fg > f: