Returns the number of installed CUDA-enabled devices.
 int gpu::getCudaEnabledDeviceCount()¶Use this function before any other GPU functions calls. If OpenCV is compiled without GPU support, this function returns 0.
Sets a device and initializes it for the current thread.
 void gpu::setDevice(int device)¶| Parameters: | 
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If the call of this function is omitted, a default device is initialized at the fist GPU usage.
Returns the current device index set by gpu::setDevice() or initialized by default.
 int gpu::getDevice()¶Explicitly destroys and cleans up all resources associated with the current device in the current process.
 void gpu::resetDevice()¶Any subsequent API call to this device will reinitialize the device.
Enumeration providing GPU computing features.
gpu::TargetArchs¶Class providing a set of static methods to check what NVIDIA* card architecture the GPU module was built for.
The following method checks whether the module was built with the support of the given feature:
- C++:
static boolgpu::TargetArchs::builtWith(FeatureSet feature_set)¶
Parameters: 
- feature_set – Features to be checked. See
gpu::FeatureSet.
There is a set of methods to check whether the module contains intermediate (PTX) or binary GPU code for the given architecture(s):
- C++:
static boolgpu::TargetArchs::has(int major, int minor)¶
- C++:
static boolgpu::TargetArchs::hasPtx(int major, int minor)¶
- C++:
static boolgpu::TargetArchs::hasBin(int major, int minor)¶
- C++:
static boolgpu::TargetArchs::hasEqualOrLessPtx(int major, int minor)¶
- C++:
static boolgpu::TargetArchs::hasEqualOrGreater(int major, int minor)¶
- C++:
static boolgpu::TargetArchs::hasEqualOrGreaterPtx(int major, int minor)¶
- C++:
static boolgpu::TargetArchs::hasEqualOrGreaterBin(int major, int minor)¶
Parameters: 
- major – Major compute capability version.
- minor – Minor compute capability version.
According to the CUDA C Programming Guide Version 3.2: “PTX code produced for some specific compute capability can always be compiled to binary code of greater or equal compute capability”.
gpu::DeviceInfo¶Class providing functionality for querying the specified GPU properties.
class CV_EXPORTS DeviceInfo
{
public:
    DeviceInfo();
    DeviceInfo(int device_id);
    string name() const;
    int majorVersion() const;
    int minorVersion() const;
    int multiProcessorCount() const;
    size_t freeMemory() const;
    size_t totalMemory() const;
    bool supports(FeatureSet feature) const;
    bool isCompatible() const;
    int deviceID() const;
};
The constructors.
  gpu::DeviceInfo::DeviceInfo()¶  gpu::DeviceInfo::DeviceInfo(int device_id)¶| Parameters: | 
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Constructs the DeviceInfo object for the specified device. If device_id parameter is missed, it constructs an object for the current device.
Returns the major compute capability version.
 int gpu::DeviceInfo::majorVersion()¶Returns the minor compute capability version.
 int gpu::DeviceInfo::minorVersion()¶Returns the number of streaming multiprocessors.
 int gpu::DeviceInfo::multiProcessorCount()¶Returns the amount of free memory in bytes.
 size_t gpu::DeviceInfo::freeMemory()¶Returns the amount of total memory in bytes.
 size_t gpu::DeviceInfo::totalMemory()¶Provides information on GPU feature support.
 bool gpu::DeviceInfo::supports(FeatureSet feature_set) const¶| Parameters: | 
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This function returns true if the device has the specified GPU feature. Otherwise, it returns false .