kkk324

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I may be slow to respond.

ML engineer at IC design house. Excited about machine learning, basketball and building things.

kkk324 / listen.py

Created June 3, 2019 05:41

	def listen(self):
	import ipdb
	#ipdb.set_trace()
	pa = PyAudio()
	stream = pa.open(format=paInt16, channels=1,
	rate=self.SAMPLING_RATE, input=True,
	frames_per_buffer=self.NUM_SAMPLES)
	time_count = self.TIME_COUNT

	# plot

kkk324 / decode_tfrecord.py

Created January 9, 2019 10:55

	#!/usr/bin/python
	# -- coding: utf-8 --
	import numpy as np
	from matplotlib import pyplot as plt
	import tensorflow as tf
	import skimage.io as io

	IMAGE_HEIGHT = 240
	IMAGE_WIDTH = 320

kkk324 / encode_tfrecord.py

Created January 9, 2019 10:54

	#! /usr/bin/env python
	# coding=utf-8
	#================================================================
	# Copyright (C) 2018 * Ltd. All rights reserved.
	#
	# Editor : Pycharm
	# File name : encode_tfrecord.py
	# Author : CR-Ko
	# Created date: 2019-01-08 16:29:23
	# Description :

kkk324 / tools.py

Created December 12, 2018 08:39

	import numpy as np
	import imgaug as ia
	from imgaug import augmenters as iaa
	import cv2
	import glob
	import xml.etree.ElementTree as ET
	import os
	from random import randint
	from matplotlib import pyplot as plt

kkk324 / Display OpenCV Image in Jupyter Notebook.py

Created November 28, 2018 02:11 — forked from mstfldmr/Display OpenCV Image in Jupyter Notebook.py

	from matplotlib import pyplot as plt
	import cv2

	img = cv2.imread('/Users/mustafa/test.jpg')
	gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

	plt.imshow(gray)
	plt.title('my picture')
	plt.show()

kkk324 / voc_eval_py3.py

Created November 9, 2018 08:53

	# --------------------------------------------------------
	# Fast/er R-CNN
	# Licensed under The MIT License [see LICENSE for details]
	# Written by Bharath Hariharan
	# --------------------------------------------------------

	import xml.etree.ElementTree as ET
	import os
	#import cPickle
	import _pickle as cPickle

kkk324 / reval_voc_py3.py

Created November 9, 2018 08:49

	#!/usr/bin/env python

	# Adapt from ->
	# --------------------------------------------------------
	# Fast R-CNN
	# Copyright (c) 2015 Microsoft
	# Licensed under The MIT License [see LICENSE for details]
	# Written by Ross Girshick
	# --------------------------------------------------------
	# <- Written by Yaping Sun

kkk324 / show_all_variables_from_ckpt_or_model.py

Created July 9, 2018 06:26

	model_restore_var = [v for v in tf.global_variables()]
	for v in model_restore_var:
	print(v.name)

	print ('--------- ckpt --------')
	checkpoint_dir = ckpt_path
	for var_name, _ in tf.contrib.framework.list_variables(checkpoint_dir):
	# Load the variable
	var = tf.contrib.framework.load_variable(checkpoint_dir, var_name)
	print(var_name)

kkk324 / mnist_tensorboard.py

Created July 5, 2018 07:03

	from __future__ import absolute_import
	from __future__ import division
	from __future__ import print_function

	import argparse
	import sys

	import tensorflow as tf

	from tensorflow.examples.tutorials.mnist import input_data

kkk324 / mapping_op.py

Created July 2, 2018 10:26

	def convert_suffix_torch2tf_op(str):
	suffix_torch_list = ['0.0' , '0.1' , '1.0' , '1.1' , '1.3' , '1.4' , '2.0' , '2.1' , '2.3' , '2.4' , '3.0' , '3.1' , '3.3' , '3.4']
	suffix_tf_list = ['Conv' , 'BatchNorm', 'Conv_1', 'BatchNorm_1', 'Conv_2', 'BatchNorm_2', 'Conv_3', 'BatchNorm_3', 'Conv_4', 'BatchNorm_4', 'Conv_5', 'BatchNorm_5', 'Conv_6', 'BatchNorm_6']
	h = str.split('.')[0]
	num = '.'.join(str.split('.')[1:3])
	end = str.split('.')[3]
	for i in range(14):
	if num == suffix_torch_list[i]:
	num = num.replace(num, suffix_tf_list[i])
	out = h + '/' + num + '/' + end