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import math
import numpy as np
from ._convert_np import make_np
from ._utils import make_grid
from tensorboard.compat import tf
from tensorboard.plugins.projector.projector_config_pb2 import EmbeddingInfo
def make_tsv(metadata, save_path, metadata_header=None):
if not metadata_header:
metadata = [str(x) for x in metadata]
else:
assert len(metadata_header) == len(
metadata[0]
), "len of header must be equal to the number of columns in metadata"
metadata = ["\t".join(str(e) for e in l) for l in [metadata_header] + metadata]
metadata_bytes = tf.compat.as_bytes("\n".join(metadata) + "\n")
fs = tf.io.gfile.get_filesystem(save_path)
fs.write(fs.join(save_path, "metadata.tsv"), metadata_bytes, binary_mode=True)
# https://github.com/tensorflow/tensorboard/issues/44 image label will be squared
def make_sprite(label_img, save_path):
from PIL import Image
from io import BytesIO
# this ensures the sprite image has correct dimension as described in
# https://www.tensorflow.org/get_started/embedding_viz
nrow = int(math.ceil((label_img.size(0)) ** 0.5))
arranged_img_CHW = make_grid(make_np(label_img), ncols=nrow)
# augment images so that #images equals nrow*nrow
arranged_augment_square_HWC = np.zeros(
(arranged_img_CHW.shape[2], arranged_img_CHW.shape[2], 3)
)
arranged_img_HWC = arranged_img_CHW.transpose(1, 2, 0) # chw -> hwc
arranged_augment_square_HWC[: arranged_img_HWC.shape[0], :, :] = arranged_img_HWC
im = Image.fromarray(np.uint8((arranged_augment_square_HWC * 255).clip(0, 255)))
with BytesIO() as buf:
im.save(buf, format="PNG")
im_bytes = buf.getvalue()
fs = tf.io.gfile.get_filesystem(save_path)
fs.write(fs.join(save_path, "sprite.png"), im_bytes, binary_mode=True)
def get_embedding_info(metadata, label_img, filesys, subdir, global_step, tag):
info = EmbeddingInfo()
info.tensor_name = "{}:{}".format(tag, str(global_step).zfill(5))
info.tensor_path = filesys.join(subdir, "tensors.tsv")
if metadata is not None:
info.metadata_path = filesys.join(subdir, "metadata.tsv")
if label_img is not None:
info.sprite.image_path = filesys.join(subdir, "sprite.png")
info.sprite.single_image_dim.extend([label_img.size(3), label_img.size(2)])
return info
def write_pbtxt(save_path, contents):
fs = tf.io.gfile.get_filesystem(save_path)
config_path = fs.join(save_path, "projector_config.pbtxt")
fs.write(config_path, tf.compat.as_bytes(contents), binary_mode=True)
def make_mat(matlist, save_path):
fs = tf.io.gfile.get_filesystem(save_path)
with tf.io.gfile.GFile(fs.join(save_path, "tensors.tsv"), "wb") as f:
for x in matlist:
x = [str(i.item()) for i in x]
f.write(tf.compat.as_bytes("\t".join(x) + "\n"))
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