53 lines
2.0 KiB
Python
53 lines
2.0 KiB
Python
import os
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def make_tsv(metadata, save_path):
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metadata = [str(x) for x in metadata]
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with open(os.path.join(save_path, "metadata.tsv"), "w") as f:
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for x in metadata:
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f.write(x + "\n")
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# https://github.com/tensorflow/tensorboard/issues/44 image label will be squared
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def make_sprite(label_img, save_path):
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import math
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import torch
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import torchvision
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from .x2num import makenp
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# this ensures the sprite image has correct dimension as described in
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# https://www.tensorflow.org/get_started/embedding_viz
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nrow = int(math.ceil((label_img.size(0)) ** 0.5))
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label_img = torch.from_numpy(makenp(label_img)) # for other framework
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# augment images so that #images equals nrow*nrow
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label_img = torch.cat((label_img, torch.randn(nrow ** 2 - label_img.size(0), *label_img.size()[1:]) * 255), 0)
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torchvision.utils.save_image(label_img, os.path.join(save_path, "sprite.png"), nrow=nrow, padding=0)
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def append_pbtxt(metadata, label_img, save_path, global_step, tag):
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with open(os.path.join(save_path, "projector_config.pbtxt"), "a") as f:
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# step = os.path.split(save_path)[-1]
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f.write("embeddings {\n")
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f.write('tensor_name: "{}:{}"\n'.format(tag, global_step))
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f.write('tensor_path: "{}"\n'.format(os.path.join(global_step, "tensors.tsv")))
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if metadata is not None:
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f.write('metadata_path: "{}"\n'.format(os.path.join(global_step, "metadata.tsv")))
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if label_img is not None:
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f.write("sprite {\n")
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f.write('image_path: "{}"\n'.format(os.path.join(global_step, "sprite.png")))
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f.write("single_image_dim: {}\n".format(label_img.size(3)))
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f.write("single_image_dim: {}\n".format(label_img.size(2)))
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f.write("}\n")
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f.write("}\n")
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def make_mat(matlist, save_path):
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with open(os.path.join(save_path, "tensors.tsv"), "w") as f:
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for x in matlist:
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x = [str(i) for i in x]
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f.write("\t".join(x) + "\n")
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