img=Image.open(os.path.join(root_dir, line_array[2], line_array[3])) int_x_dims=int(line_array[1]) int_y_dims=int(line_array[0]) x_pad_val_added=512-int_x_dims y_pad_val_added=512-int_y_dims bimg=ImageOps.expand(img, border=(0,0,x_pad_val_added,y_pad_val_added)) ...
这样做既能利用预训练扩散模型的内部知识,同时还能实现高效的推理(例如,对于 512x512 图像,在 A6000 上为 0.29 秒,在 A100 上为 0.11 秒)。 此外,单步条件模型 CycleGAN-Turbo 和 pix2pix-Turbo 可以执行各种图像到图像的转换任务,适用于成对和非成对设置。CycleGAN-Turbo 超越了现有的基于 GAN 的方法和基于...
去噪的例子用了2400 iters 才跑出结果,根据作者的说法,512x512的图像,在GPU上要好几分钟才能出结果。 (2)不知道什么时候应该停止iteration, 训练到一定的iteration,生成的结果是需要的natural-looking的图像,但继续训练就会得到退化图,因为网络的最终目的是朝向退化图去的,而且目前尚没有有效的指标说明什么时候就得到...
Stable Diffusion 2-Basewas trained from scratch for 550K steps on 256 x 256 pixel images, filtered to remove pornographic material, and then trained for 850 K more steps on 512 x 512 pixel images. Stable Diffusion v2picks up training whereStable Diffusion 2-Baseleft off and was trained for...
deprecate optim.optim_factory, move fns to optim/_optim_factory.py and optim/_param_groups.py and encourage import via timm.optim Add Adopt (https://github.com/iShohei220/adopt) optimizer Add 'Big Vision' variant of Adafactor (https://github.com/google-research/big_vision/blob/main/big_vi...
Please download the customizedinstances_val2017.json, which resizes all images to 512x512 and adjusts the corresponding masks/boxes accordingly. Once you have organized the data, proceed with executing the following commands: CUDA_VISIBLE_DEVICES=0 python eval_local.py \ --job_index 0 \ --num...
We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some...
Image segmentation is the process of separating pixels of an image into multiple classes, enabling the analysis of objects in the image. Multilevel thresholding (MTH) is a method used to perform this task, and the problem is to obtain an optimal threshol
python main.py --name cub_512x512_class --conditional_class --dataset cub --gpu_ids 0,1,2,3 --batch_size 32 --epochs 1000 --tensorboard Here, we train a CUB birds model, conditioned on class labels, for 1000 epochs. Every 20 epochs, we have FID evaluations (which can be changed...
These images are abundant and easy to obtain from either targeted users or web-scraping. By subtracting the two, I get a mask that shows text only. Training masks general have noise where words are not sharp enough. By experiment, on a 512x512 image, max pool with kernel size 3-7 are...