Jian Shi shijianjian
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| """Cirrus OCT ROI segmentation. | |
| Author: Jian Shi | |
| Email: [email protected] | |
| """ | |
| import numpy as np | |
| import pandas as pd | |
| import os | |
| import cv2 |
shijianjian
/ visual_3d.py
Last active
September 6, 2020 06:21
Visualize 3D objects in a video manner
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| """ Visualize 3D objects in a video manner. | |
| Current config is for Cirrus OCT only. | |
| Author: Jian Shi | |
| Email: [email protected] | |
| """ | |
| from __future__ import absolute_import | |
| from __future__ import division | |
| from __future__ import print_function |
shijianjian
/ Heidelberg_dcm_to_png.py
Last active
August 28, 2020 08:19
Extract images from Dicoms of Heidelberg OCT machine.
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| """ | |
| Image extractor for Heidelberg OCT B-SCANS. | |
| Author: Jian Shi | |
| Date created: 28/08/2020 | |
| """ | |
| from multiprocessing import Pool | |
| import matplotlib.pyplot as plt | |
| import pydicom |
shijianjian
/ np_tile_implementation.py
Created
May 18, 2018 07:53
Manual Implementation for np.tile
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| import types | |
| import numpy as np | |
| def test_tile(x, multiplier): | |
| x = np.array(x) | |
| if isinstance(multiplier, list): | |
| raise ValueError("multiplier must be a List or numpy array") | |
| multiplier = np.array(multiplier) | |
| if len(multiplier.shape) > 1: |
shijianjian
/ WirelessLogging.swift
Created
May 10, 2018 20:51
Enable wireless logging on structure.io sensor.
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| // Enable logging as: | |
| // if (WirelessLogging.DEBUG_MODE){ | |
| // WirelessLogging.shared.initRemoteLogging() | |
| // } | |
| // Logging as: | |
| // WirelessLogging.log(message: "Success", log: "sensor", type: .debug) | |
| import Foundation | |
| import os.log |
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| ''' | |
| This converter is used to convert hdf5 file to TFRecords. | |
| Dataset used: | |
| This is designed for the point cloud hdf5 data of pointnet, | |
| which can be downloaded from https://github.com/charlesq34/pointnet/sem_seg | |
| The sample data shape is | |
| h5py { | |
| 'data': (1000, 4096, 9), # (number_of_data, points, channels) |
shijianjian
/ sobel_filter.py
Created
April 11, 2018 12:47
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| import numpy as np | |
| import cv2 | |
| import matplotlib.pyplot as plt | |
| %matplotlib inline | |
| ''' | |
| Read in image | |
| ''' | |
| img = cv2.imread('./fruit_img.jpg', cv2.IMREAD_COLOR) | |
| gray_img = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY) # use black and white for demostration |
shijianjian
/ tensorflow_self_check.py
Created
October 11, 2017 14:00
— forked from mrry/tensorflow_self_check.py
TensorFlow on Windows self-check
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| # Copyright 2015 The TensorFlow Authors. All Rights Reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, |