1/6/2024 0 Comments Psychopy picture sizeStep 1: Converting reaction times to milliseconds.25.2 How to get from PsychoPy output to SPSS input.25.1 What we get from PsychoPy and what we need for SPSS.24 The value of reaction times and error rates in psychology.22.8 Relative vs. absolute cell references.22.5 Automatically adjusting column width.22.3 Selecting cells, columns, rows, and spreadsheets.20.3.2 What information is in the columns?.18.4 Copying and pasting routines and components.18.2 PsychoPy processes components from top to bottom.16.2.1 Effect of submitting the formative PsychoPy assignment.16 Lab 6 exercise and formative PsychoPy assignment.15.3 Adding additional information to the output file.12.4 Building a Stroop task from scratch.11.5.2 Compiling, running and quitting an experiment.10.2 Opening, running and saving experiments.10.1.1 Alternatives to installing PsychoPy on your own computer.5.3 Conceptual and operational definitions.5.1 Research producers and research consumers.4.1 Beth Morling’s research methods book.2.7 Disability support and accessibility.2.6 Research participation scheme (RPS).seealso::ĪPI reference for :class:`~psychopy.visual. Texture Resolution: This is only needed if you use a synthetic texture (e.g. Nearest will use a nearest-neighbour rule. Interpolate : If linear is selected then linear interpolation will be applied when the image is rescaled to the appropriate size for the screen. circle will make the patch circular) or something which overlays the patch e.g. Mask : a filename, a standard name (gauss, circle, raisedCos) or a numpy array of dimensions NxNx1 The mask can define the shape (e.g. Units : deg, cm, pix, norm, or inherit from window See :doc:`././general/units` flip horizontally : bool Flip the image along the horizontal axis flip vertically : bool Flip the image along the vertical axis spatial units : deg, cm, pix, norm, or inherit from window See :doc:`././general/units` TextureĬontrol how the stimulus handles textures. Orientation : degrees The orientation of the entire patch (texture and mask) in degrees. Set this to be blank to get the image in its native size. If the mask is a Gaussian then the size refers to width at 3 standard deviations on either side of the mean (i.e. Position : The position of the centre of the stimulus, in the units specified by the stimulus or window Size : or a single value (applied to x and y) The size of the stimulus in the given units of the stimulus/window. How should the stimulus be laid out? Padding, margins, size, position, etc. opacity : value from 0 to 1 If opacity is reduced then the underlying images/stimuli will show through foreground color : Colors can be applied to luminance-only images (not to rgb images) See :doc:`././general/colours` foreground color space : to be used if a color is supplied See :doc:`././general/colours` Layout How should the stimulus look? Colour, borders, etc. If this is set to none, the patch will be a flat colour. Image : a filename or a standard name (sin, sqr) Filenames can be relative or absolute paths and can refer to most image formats (e.g. Stop : Governs the duration for which the stimulus is presented. Start : The time that the stimulus should first appear. The name should contain only letters, numbers and underscores (no punctuation marks or spaces). Parameters Name : string Everything in a |PsychoPy| experiment needs a unique name. Images can have their position, orientation, size and other settings manipulated on a frame-by-frame basis. There is a performance advantage (in terms of milliseconds) to using images which are square and powers of two (32, 64, 128, etc.), but this is slight and would not be noticed in the majority of experiments. If you leave the resolution at 12 megapixel camera, as taken from your camera, but then present it on a standard screen at 1680x1050 (=1.6 megapixels) then |PsychoPy| and your graphics card have to do an awful lot of unnecessary work. It is a really good idea to get your image in roughly the size (in pixels) that it will appear on screen to save memory. The mask can also be derived from an image file, or mathematical form such as a Gaussian. The Image stimulus allows an image to be presented, which can be a bitmap image from a variety of standard file formats, with an optional transparency mask that can effectively control the shape of the image.
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