By Jan Sadler
How you can triumph over insomnia with visualization, breathwork, and meditation
• provides psychological and actual workouts to quiet psychological chatter, visualizations to organize for sleep, and deep respiring and mindfulness meditation techniques
• Explains how one can determine and research a nap diary and the way to retrain the physique to sleep solidly
• incorporates a 65-minute audio CD of guided visualizations and leisure techniques
In an outstanding Night’s Sleep, Jan Sadler teaches the abilities had to holiday the styles and frustration of insomnia. She explains how one can triumph over tension and restlessness via meditation and deep diaphragmatic respiring, find out how to organize for sleep via optimistic visualization, and the way to quiet psychological chatter with knowledge and actual recommendations resembling the “Stop/Cancel/Change” and “Shakeout” workouts.
Sadler addresses the best way to decrease dependence on napping tablets, be certain the quantity of sleep you actually desire, and, most vital, how one can retrain your self to sleep soundly. She presents a two-week sleep diary and exhibits step by step how one can determine and learn any underlying daylight hours and pre-bedtime conduct which may disturb sleep. furthermore, the accompanying 65-minute audio CD offers six rest and visualization recommendations, together with Sadler’s “Peaceful Sleep Bedtime Routine,” a 20-minute guided rest perform designed to ease one right into a deep and peaceable sleep. through revealing the keys to caliber, drug-free sleep, a great Night’s Sleep helps you to reclaim keep watch over of your sleep cycle and your existence.
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Additional resources for A Good Night's Sleep: A Drug-Free Solution
If it is, turn ON the corresponding pixel of the output image. You can of course do it the simple way, by iterating through all pixels in the image. But see if you can go through the OpenCV docs and find a function that does exactly the same task for you. Maybe you can even make a track bar to adjust this range dynamically! 33 Chapter 4 ■ Basic Operations on Images and GUI Windows Videos Videos in OpenCV are handled through FFMPEG support. Make sure that you have installed OpenCV with FFMPEG support before proceeding with the code in this section.
The Gaussian kernel does this, and is the most commonly used blurring kernel: 1 4 6 4 1 4 16 24 16 4 6 24 36 24 6 4 16 24 16 4 1 4 6 4 1 One “normalizes” the kernel by dividing by the sum of all elements, 25 for the box kernel and 256 for the Gaussian kernel. You can create different sizes of the Gaussian kernel by using the OpenCV function getGaussianKernel(). Check the documentation for this function to see the formula OpenCV uses to calculate the kernels. You can go ahead and plug these kernels into Listing 5-1 to blur some images (don’t forget to divide the kernel by the sum of its elements).
Abe (published in the 1985 edition of CVGIP) for extracting contours and arranging them in a hierarchy. The exact set of rules for deciding the hierarchies are described in the paper but, in a nutshell, a contour is considered to be “parent” to another contour if it surrounds the contour. To show practically what we mean by hierarchy, we will code a program, shown in Listing 6-1, that uses our favorite tool, the slider, to select the number of levels of this hierarchy to display. Note that the function accepts a binary image only as input.