p-geon’s gists

p-geon / mix_tensor.py

Created July 12, 2022 22:35

	print('tf.__version__', tf.__version__)

	z_1 = [_*2 for _ in range(10)]
	z_2 = [_*2+1 for _ in range(10)]

	z_1 = tf.convert_to_tensor(z_1, dtype=tf.float32)
	z_2 = tf.convert_to_tensor(z_2, dtype=tf.float32)


	@tf.function

p-geon / unet.py

Created August 10, 2021 09:29

	def unet(x, ch, depth, cut_path=False):
	conv_kwargs = {'kernel_size': (3, 3), 'strides'=(1, 1), 'dilation_rate'=(1, 1),
	'padding'='same', 'use_bias'=True, 'bias_initializer'='zeros', 'kernel_initializer'='he_normal'}
	for _ in range(2):
	x = tf.keras.layers.Convolution2D(ch, **conv_kwargs)(x)
	x = tf.keras.layers.BatchNormalization()(x)
	x = tf.keras.layers.Activation('relu')(x)

	if(depth != 0):
	path = x

p-geon / clone_private_repository_for_KaggleNotebook_cell.py

Last active January 23, 2021 06:22

	"""
	Before running this cell, you will set hidden vars by "add-ons" menu.
	"""

	from kaggle_secrets import UserSecretsClient

	def clone_repository(
	ssh_keyval: "str: BEGIN RSA PRIVATE KEY to END RSA PRIVATE KEY"
	, ssh_keyname: "str: id_rsa..."
	, gitrepo: "str: your private repository to clone"

p-geon / tf2_mnist.py

Last active March 11, 2020 04:40

	# curl -O https://gist.githubusercontent.com/xagano/1ba3caabd6d1c40d0fe85058a7294222/raw/b2ea3934cfeec110aaf74ca8f5bbdd07fae628fe/TF2_MNIST.py
	import time
	import tensorflow as tf

	mnist = tf.keras.datasets.mnist

	(x_train, y_train), (x_test, y_test) = mnist.load_data()
	x_train, x_test = x_train / 255.0, x_test / 255.0

	model = tf.keras.models.Sequential([

p-geon / quickedit.py

Last active December 18, 2018 08:23

	# resize
	from skimage.io import imread, imsave
	from skimage.transform import resize
	x = imread("X.png")
	x2 = resize(x, (128, 128))
	imsave("resize.png", x2)

	# overlay
	from skimage.io import imread, imsave
	from skimage.transform import resize

p-geon / hello-world.docker

Created August 31, 2018 07:02

docker run --rm hello-world

p-geon / Dockerfile

Last active August 11, 2018 03:16

	FROM nvidia/cuda:9.0-cudnn7-runtime-ubuntu16.04

	# Set anaconda(miniconda) path
	ENV MINICONDA /opt/miniconda
	ENV PATH $MINICONDA/bin:$PATH

	# Download anaconda and install it
	RUN apt-get update && apt-get install -y wget build-essential
	RUN apt-get update && apt-get install -y --no-install-recommends \
	build-essential \

p-geon / compare_images.py

Last active August 9, 2018 05:12

	from tqdm import tqdm
	import numpy as np
	from skimage.io import imread, imsave
	win_h = win_w = 640
	orig = imread(fname="image_A.png")
	ours = imread(fname="image_B.png")
	def main():
	for i in tqdm(range(1)):
	h_bias, w_bias = np.random.randint(0, orig.shape[0]-win_h), np.random.randint(0, orig.shape[1]-win_w)
	crop_orig = orig[h_bias:h_bias+win_h, w_bias:w_bias+win_w]

p-geon / tf_gpu_setting.py

Created June 29, 2018 09:57

	GPUconfig = tf.ConfigProto(
	gpu_options=tf.GPUOptions(
	allow_growth=True
	, visible_device_list="0"
	)
	, device_count={"GPU":1}
	)

	with tf.Session(graph=graph, config=GPUconfig) as sess:
	print(sess.run())

p-geon / numpy_statistics.py

Last active June 20, 2018 05:40

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