yangbisheng2009
yangbisheng2009
``` background = (0, 0, 255) # random_color(238, 255) color = (0, 0, 255, 255) # random_color(0, 200, random.randint(220, 255)) im = self.create_captcha_image(chars, color, background) #self.create_noise_dots(im, color) #self.create_noise_curve(im, color) im...
Since resnet is very strong now, why didn't your try it? Is it something wrong or some theory not suitable for nsfw? Looking forward to your guidance
I am a little confuse. If they use the same training data, In fine_tune phase just train the last few layer. I think this operating is a little redundant with...
根据我的实验结果,最终效果不太理想呢,是不是有些细节需要调优
AttributeError: 'RetainNet' object has no attribute 'load_pretrained_weight'
我原来一直在根据 https://github.com/eriklindernoren/PyTorch-YOLOv3 这个来做训练、预测,但是一直没有解决多卡训练的问题,我发现单纯的添加: model = nn.DataParallel(model, device_ids=args.device) model.cuda() 这两行,并不能为训练速度带来提升,我看您的代码有支持多卡训练,能帮忙解答下吗?感谢!
我在训练的过程中,现在跑了大约30个epoch 发现训练集的准确率总是高于验证集10个点,感觉像是有点过拟合, 我现在准备改一下,添加一些防止过拟合的参数,希望楼主能给点建议