OPENCV_PERFORMANCE(1) User Commands OPENCV_PERFORMANCE(1)NAME
opencv_performance - evaluate the performance of the classifier
SYNOPSIS
opencv_performance [options]
DESCRIPTION
opencv_performance evaluates the performance of the classifier. It takes a collection of marked up test images, applies the classifier and
outputs the performance, i.e. number of found objects, number of missed objects, number of false alarms and other information.
When there is no such collection available test samples may be created from single object image by the opencv_createsamples(1) utility. The
scheme of test samples creation in this case is similar to training samples
In the output, the table should be read:
'Hits' shows the number of correctly found objects
'Missed'
shows the number of missed objects (must exist but are not found, also known as false negatives)
'False'
shows the number of false alarms (must not exist but are found, also known as false positives)
OPTIONS
opencv_performance supports the following options:
-data classifier_directory_name
The directory, in which the classifier can be found.
-info collection_file_name
File with test samples description.
-maxSizeDiff max_size_difference
Determine the size criterion of reference and detected coincidence. The default is 1.500000.
-maxPosDiff max_position_difference
Determine the position criterion of reference and detected coincidence. The default is 0.300000.
-sf scale_factor
Scale the detection window in each iteration. The default is 1.200000.
-ni Don't save detection result to an image. This could be useful, if collection_file_name contains paths.
-nos number_of_stages
Number of stages to use. The default is -1 (all stages are used).
-rs roc_size
The default is 40.
-h sample_height
The sample height (must have the same value as used during creation). The default is 24.
-w sample_width
The sample width (must have the same value as used during creation). The default is 24.
The same information is shown, if opencv_performance is called without any arguments/options.
EXAMPLES
To create training samples from one image applying distortions and show the results:
opencv_performance -data trainout -info tests.dat
SEE ALSO opencv_createsamples(1), opencv_haartraing(1)
More information and examples can be found in the OpenCV documentation.
AUTHORS
This manual page was written by Daniel Leidert <daniel.leidert@wgdd.de> and Nobuhiro Iwamatsu <iwamatsu@debian.org> for the Debian project
(but may be used by others).
OpenCV May 2010 OPENCV_PERFORMANCE(1)
Check Out this Related Man Page
GLTEXIMAGE3DMULTISAM(3G) [FIXME: manual] GLTEXIMAGE3DMULTISAM(3G)NAME
glTexImage3DMultisample - establish the data storage, format, dimensions, and number of samples of a multisample texture's image
C SPECIFICATION
void glTexImage3DMultisample(GLenum target, GLsizei samples, GLint internalformat, GLsizei width, GLsizei height, GLsizei depth,
GLboolean fixedsamplelocations);
PARAMETERS
target
Specifies the target of the operation. target must be GL_TEXTURE_2D_MULTISAMPLE_ARRAY or GL_PROXY_TEXTURE_2D_MULTISAMPLE_ARRAY.
samples
The number of samples in the multisample texture's image.
internalformat
The internal format to be used to store the multisample texture's image. internalformat must specify a color-renderable,
depth-renderable, or stencil-renderable format.
width
The width of the multisample texture's image, in texels.
height
The height of the multisample texture's image, in texels.
fixedsamplelocations
Specifies whether the image will use identical sample locations and the same number of samples for all texels in the image, and the
sample locations will not depend on the internal format or size of the image.
DESCRIPTION
glTexImage3DMultisample establishes the data storage, format, dimensions and number of samples of a multisample texture's image.
target must be GL_TEXTURE_2D_MULTISAMPLE_ARRAY or GL_PROXY_TEXTURE_2D_MULTISAMPLE_ARRAY. width and heightare the dimensions in texels of
the texture, and must be in the range zero to GL_MAX_TEXTURE_SIZE - 1. depth is the number of array slices in the array texture's image.
samples specifies the number of samples in the image and must be in the range zero to GL_MAX_SAMPLES - 1.
internalformat must be a color-renderable, depth-renderable, or stencil-renderable format.
If fixedsamplelocations is GL_TRUE, the image will use identical sample locations and the same number of samples for all texels in the
image, and the sample locations will not depend on the internal format or size of the image.
When a multisample texture is accessed in a shader, the access takes one vector of integers describing which texel to fetch and an integer
corresponding to the sample numbers describing which sample within the texel to fetch. No standard sampling instructions are allowed on the
multisample texture targets.
NOTES
glTexImage2DMultisample is available only if the GL version is 3.2 or greater.
ERRORS
GL_INVALID_OPERATION is generated if internalformat is a depth- or stencil-renderable format and samples is greater than the value of
GL_MAX_DEPTH_TEXTURE_SAMPLES.
GL_INVALID_OPERATION is generated if internalformat is a color-renderable format and samples is greater than the value of
GL_MAX_COLOR_TEXTURE_SAMPLES.
GL_INVALID_OPERATION is generated if internalformat is a signed or unsigned integer format and samples is greater than the value of
GL_MAX_INTEGER_SAMPLES.
GL_INVALID_VALUE is generated if either width or height negative or is greater than GL_MAX_TEXTURE_SIZE.
GL_INVALID_VALUE is generated if depth is negative or is greater than GL_MAX_ARRAY_TEXTURE_LAYERS.
GL_INVALID_VALUE is generated if samples is greater than GL_MAX_SAMPLES.
SEE ALSO
glTexImage3D(), glTexImage2DMultisample()
COPYRIGHT
Copyright (C) 2010 Khronos Group. This material may be distributed subject to the terms and conditions set forth in the Open Publication
License, v 1.0, 8 June 1999. http://opencontent.org/openpub/.
[FIXME: source] 05/30/2012 GLTEXIMAGE3DMULTISAM(3G)