from torch.utils.tensorboard import SummaryWriter import numpy as np from PIL import Image writer = SummaryWriter("logs") image_path = "dataSet/train/ants/0013035.jpg" img_PIL = Image.open(image_path) img_array = np.array(img_PIL) writer.add_image("test", img_array, 1, dataformats="HWC") for i in range(100): writer.add_scalar("y=x", i, i) writer.close()
运行后产生logs文件
然后命令行输入 tensorboard --logdir 'NeuralNetwork/test/logs'
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