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In order to amplify the data set, 2 ways are used to amplify the data. 1. Data enhancement processing using Keras 2. Data enhancement processing using Skimage Keras includes processing, there is featurewise visual image will be slightly dimmed, samplewise visual image will become class X-ray image form, ZCA processing visual image will become gray image, rotation range randomly rotated image, horizontal translation, vertical translation, Error-cutting transformation, image scaling, picture

Python to determine the main color of the picture, individual colors: The code is as follows: #!/usr/bin/env python#-*-Coding:utf-8-*- Import ColorsysFrom PIL import ImageImport Optparse def get_dominant_color (image):"""Find a PIL image ' s dominant color, returning an (R, G, b) tuple.""" Image = Image.convert (' RGBA ') # Shrink The image, so we don ' t spend too long analysing color# frequencies. We ' re not interpolating so should be quick.Image.thumbnail ((200, 200)) Max_score = NoneDominan

the manufacturer (for example, the hounsfield Number of the CT device and the OD of the film Digital Converter. The device LUT is related to the device and is part of the image IOD. In the case of linear transformation, the device LUT is described by rescale slope () and rescale intercept. In the case of nonlinear transformation, the device LUT is described by the device LUT module.-Transform: Convert the

Learning Sklearn and kagggle problems, what is the single-hot code? Why use a single-hot code? Under what circumstances can I use a single-hot code? and several other ways of encoding.first, learn about feature categories in machine learning: continuous and discrete featuresTo obtain the original characteristics, each feature must be normalized, for example, the value range of the feature A is [ -1000,1000], the value range of the characteristic b is [ -1,1]. If you use logistic regression, W1*

Emacs Version: 24.4.1System: LinuxAdd the following configuration to. Emacs and restart Emacs.;; Font Config fororg table showing. (Set-default-font"monospace-11") (Dolist (CharSet'(kana han symbol cjk-misc bopomofo))(Set-fontset-font (Frame-parameter nil'font)CharSet (Font-spec:family"Wenquanyi Micro Hei")));; Tune Rescale so Chinese character width= 2 *中文版 character width (setq face-font-rescale-alist'( (

Generally simple process habits of their own implementation, OPENCV interface and there is no special specification of the document, but some functions of their own implementation and call OPENCV function efficiency or there is a big gap, the data access mode optimization should be a good understanding; Cvnorm () Cvnormalize () basic implementation of all the normalization operation, not only support the traditional European distance (L2_norm), the parameters can be selected L1_norm already rang

) Frame of Reference UID ui:2.16.840.1.113662.2.0.105002416.1489146183.601 (0020, 0060) Lat Erality CS: ' (0020, 1040) Position Reference Indicator LO: ' (0020, 1041) Slice location DS: ' 3.25 ' (0028, 000 2) Samples per PixelUs:1 (0028, 0004) Photometric interpretation CS: ' MONOCHROME2 ' (0028, 0010) Rows us:330 (0028, 0011) Columns us:339 (0028, 0030) Pixel Spacing DS: [' 0.734375 ', ' 0.734375 '] (0028, 0100) Bits allocated us:16 (0028, 0101) B Its Stored us:12 (0028, 0102) high Bit us:1

Python determines the Dominant Color of an image, with a single color:Copy codeThe Code is as follows:#! /Usr/bin/env python#-*-Coding: UTF-8 -*- Import colorsysFrom PIL import ImageImport optparse Def get_dominant_color (image ):"""Find a PIL image's dominant color, returning an (r, g, B) tuple.""" Image = image. convert ('rgba ') # Shrink the image, so we don't spend too long analyzing color# Frequencies. We're not interpolating so shocould be quick.Image. thumbnail (200,200 )) Max_score = Non

(rescale_last_pts = = Av_nopts_value) { rescale_last_pts = Av_rescale_q (decoded_frame->pts, IN_TB, FS_TB) + duration;} The FS_TB equals to OUT_TB, so decoded_frame->pts equals to rescale_last_ptsdecoded_frame->pts = Av_rescale_q (res Cale_last_pts, FS_TB, OUT_TB);; Rescale_last_pts + = Duration;It can also be simplified to: /** * For audio encoding, we simplify the rescale algorithm to following. * /if (rescale_last_pts = = av_nopts_v

The Unit of CT value is Hounsfield, referred to as Hu, the range is-1024-3071. It is used to measure the absorption rate of X-rays in human tissues, and to set the water absorption rate at 0Hu.In the dicom image reading process, we will find that the pixel value of the image may not be this range, usually 0-4096, which is the pixel value we often see or grayscale value, which requires us to the image pixel value (gray value) into the CT value.First, you need to read two dicom tag information (00

.Third, the solution 1, the general frameworkBefore it is sent to the neuron, it is translated and scaled , and the distribution is normalized to a standard distribution in the fixed interval range.The general transformation framework is as follows:(1) is the translation parameter (shift parameter), which is the scaling parameter (scale parameter). Shift and scale transformations are performed using these two parameters:The resulting data conforms to the standard distribution with a mean value

Python determines the primary hue of a picture, a single color: Copy Code code as follows: #!/usr/bin/env python #-*-Coding:utf-8-*- Import ColorsysFrom PIL import ImageImport Optparse def get_dominant_color (image):"""Find a PIL image ' s dominant color, returning a (R, G, b) tuple.""" Image = Image.convert (' RGBA ') # Shrink The image, so we don ' t spend too long analysing color# frequencies. We don't interpolating so should to be quick.Image.thumbnail ((200, 200)) Ma