Pytorch中使用tensorboard中如何添加torch.Tensor形式的图片add_image和add_images,很多新手对此不是很清楚,为了帮助大家解决这个难题,下面小编将为大家详细讲解,有这方面需求的人可以来学习下,希望你能有所收获。
add_image和add_images
代码:
from torch.utils.tensorboard import SummaryWriterimport numpy as np img = np.zeros((3, 100, 100))img[0] = np.arange(0, 10000).reshape(100, 100) / 10000img[1] = 1 - np.arange(0, 10000).reshape(100, 100) / 10000img_HWC = np.zeros((100, 100, 3))img_HWC[:, :, 0] = np.arange(0, 10000).reshape(100, 100) / 10000img_HWC[:, :, 1] = 1 - np.arange(0, 10000).reshape(100, 100) / 10000writer = SummaryWriter()writer.add_image('my_image', img, 0)# If you have non-default dimension setting, set the dataformats argument.writer.add_image('my_image_HWC', img_HWC, 0, dataformats='HWC')writer.close()# tensorboard --logdir=runs
运行结果展示:
代码:
from torch.utils.tensorboard import SummaryWriterimport numpy as np img_batch = np.zeros((16, 3, 100, 100))for i in range(16):img_batch[i, 0] = np.arange(0, 10000).reshape(100, 100) / 10000 / 16 * i img_batch[i, 1] = (1 - np.arange(0, 10000).reshape(100, 100) / 10000) / 16 * i writer = SummaryWriter()writer.add_images('my_image_batch', img_batch, 0)writer.close()# tensorboard --logdir=runs
运行结果展示:
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