From b33a0b6cf21699af1379c9f286499150a398df00 Mon Sep 17 00:00:00 2001 From: Glenn Jocher Date: Wed, 12 Jun 2019 15:12:08 +0200 Subject: [PATCH] updates --- train.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/train.py b/train.py index 06ebbbe0..8f9e392e 100644 --- a/train.py +++ b/train.py @@ -12,7 +12,7 @@ from utils.datasets import * from utils.utils import * # Hyperparameters: train.py --evolve --epochs 2 --img-size 320, Metrics: 0.204 0.302 0.175 0.234 (square smart) -hyp = {'xy': 0.2, # xy loss gain (giou is about 0.02) +hyp = {'xy': 0.1, # xy loss gain (giou is about 0.02) 'wh': 0.1, # wh loss gain 'cls': 0.04, # cls loss gain 'conf': 4.5, # conf loss gain @@ -356,7 +356,7 @@ if __name__ == '__main__': # Mutate hyperparameters old_hyp = hyp.copy() init_seeds(seed=int(time.time())) - s = [.3, .3, .3, .3, .3, .3, .3, .03, .3] + s = [.3, .3, .3, .3, .3, .3, .3, .03, .3] # xy, wh, cls, conf, iou_t, lr0, lrf, weight_decay for i, k in enumerate(hyp.keys()): x = (np.random.randn(1) * s[i] + 1) ** 1.1 # plt.hist(x.ravel(), 100) hyp[k] = hyp[k] * float(x) # vary by about 30% 1sigma