OpenCV 3.2.0 windows，OpenCL 在 C++ 中显示设备但在 python 中不显示
OpenCV 3.2.0 windows, OpenCL shows devices in C++ but not in python
我正在使用 2 个示例脚本来检查 python 3.6 是否可以在 windows 上使用 Opencv 的 OpenCL 功能。我尝试 运行 示例中提供的几个与 CAMSHIFT 相关的示例，并检查我是否有 OpenCL。
我很想知道为什么 python 显示我没有 opencl 而带有 VS 的 C++ 显示我有启用 opencl 的设备
系统信息：
Opencv 3.2.0 使用 Opencl 从源代码构建并添加了 python 和 numpy 库
Python 3.6 用于 windows 64 位
Visual Studio 2015 社区版
Numpy 使用
pip install numpy-1.12.0-cp36-none-win_amd64.whl
Python 3.6
使用
python 的 Opnecv
pip install opencv_opencv_python-3.2.0-cp36-cp36m-win_amd64.whl
我运行 VS2015 上提供的以下示例（添加了一个小代码块以检查启用 opencl 的设备是否可用）
#include <opencv2/core/utility.hpp>
#include "opencv2/video/tracking.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/videoio.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/core/ocl.hpp"
#include <stdio.h>
#include <string.h>
#include <iostream>
#include <ctype.h>
using namespace cv;
using namespace std;
Mat image;
bool backprojMode = false;
bool selectObject = false;
int trackObject = 0;
bool showHist = true;
Point origin;
Rect selection;
int vmin = 10, vmax = 256, smin = 30;
// User draws box around object to track. This triggers CAMShift to start tracking
static void onMouse(int event, int x, int y, int, void*)
{
if (selectObject)
{
selection.x = MIN(x, origin.x);
selection.y = MIN(y, origin.y);
selection.width = std::abs(x - origin.x);
selection.height = std::abs(y - origin.y);
selection &= Rect(0, 0, image.cols, image.rows);
}
switch (event)
{
case EVENT_LBUTTONDOWN:
origin = Point(x, y);
selection = Rect(x, y, 0, 0);
selectObject = true;
break;
case EVENT_LBUTTONUP:
selectObject = false;
if (selection.width > 0 && selection.height > 0)
trackObject = -1; // Set up CAMShift properties in main() loop
break;
}
}
string hot_keys =
"\n\nHot keys: \n"
"\tESC - quit the program\n"
"\tc - stop the tracking\n"
"\tb - switch to/from backprojection view\n"
"\th - show/hide object histogram\n"
"\tp - pause video\n"
"To initialize tracking, select the object with mouse\n";
static void help()
{
cout << "\nThis is a demo that shows mean-shift based tracking\n"
"You select a color objects such as your face and it tracks it.\n"
"This reads from video camera (0 by default, or the camera number the user enters\n"
"Usage: \n"
" ./camshiftdemo [camera number]\n";
cout << hot_keys;
}
const char* keys =
{
"{help h | | show help message}{@camera_number| 0 | camera number}"
};
int main(int argc, const char** argv)
{
// Start of OpenCL Check
if (!cv::ocl::haveOpenCL()) { printf("Computer Vision library is not available...\n"); }
else {
//printf << "\nOpenCL IS AVAILABLE!\n" << endl;
cv::ocl::setUseOpenCL(true);
cv::ocl::Context context;
if (!context.create(cv::ocl::Device::TYPE_ALL)) { printf("Failed creating the context...\n"); }
else { printf("Successfully created context!\n"); }
printf("Connected Device(s): %zd \n", context.ndevices()); //This bit provides an overview of the OpenCL devices you have in your computer
for (int i = 0; i < context.ndevices(); i++) {
cv::ocl::Device device = context.device(i);
cout << "name: " << device.name() << endl;
cout << "available: " << device.available() << endl;
cout << "imageSupport: " << device.imageSupport() << endl;
cout << "OpenCL_C_Version: " << device.OpenCL_C_Version() << endl;
cout << endl;
}
}
// END of OpenCL Check
VideoCapture cap;
Rect trackWindow;
int hsize = 16;
float hranges[] = { 0,180 };
const float* phranges = hranges;
CommandLineParser parser(argc, argv, keys);
if (parser.has("help"))
{
help();
return 0;
}
int camNum = parser.get<int>(0);
cap.open(camNum);
if (!cap.isOpened())
{
help();
cout << "***Could not initialize capturing...***\n";
cout << "Current parameter's value: \n";
parser.printMessage();
return -1;
}
cout << hot_keys;
namedWindow("Histogram", 0);
namedWindow("CamShift Demo", 0);
setMouseCallback("CamShift Demo", onMouse, 0);
createTrackbar("Vmin", "CamShift Demo", &vmin, 256, 0);
createTrackbar("Vmax", "CamShift Demo", &vmax, 256, 0);
createTrackbar("Smin", "CamShift Demo", &smin, 256, 0);
Mat frame, hsv, hue, mask, hist, histimg = Mat::zeros(200, 320, CV_8UC3), backproj;
bool paused = false;
for (;;)
{
if (!paused)
{
cap >> frame;
if (frame.empty())
break;
}
frame.copyTo(image);
if (!paused)
{
cvtColor(image, hsv, COLOR_BGR2HSV);
if (trackObject)
{
int _vmin = vmin, _vmax = vmax;
inRange(hsv, Scalar(0, smin, MIN(_vmin, _vmax)),
Scalar(180, 256, MAX(_vmin, _vmax)), mask);
int ch[] = { 0, 0 };
hue.create(hsv.size(), hsv.depth());
mixChannels(&hsv, 1, &hue, 1, ch, 1);
if (trackObject < 0)
{
// Object has been selected by user, set up CAMShift search properties once
Mat roi(hue, selection), maskroi(mask, selection);
calcHist(&roi, 1, 0, maskroi, hist, 1, &hsize, &phranges);
normalize(hist, hist, 0, 255, NORM_MINMAX);
trackWindow = selection;
trackObject = 1; // Don't set up again, unless user selects new ROI
histimg = Scalar::all(0);
int binW = histimg.cols / hsize;
Mat buf(1, hsize, CV_8UC3);
for (int i = 0; i < hsize; i++)
buf.at<Vec3b>(i) = Vec3b(saturate_cast<uchar>(i*180. / hsize), 255, 255);
cvtColor(buf, buf, COLOR_HSV2BGR);
for (int i = 0; i < hsize; i++)
{
int val = saturate_cast<int>(hist.at<float>(i)*histimg.rows / 255);
rectangle(histimg, Point(i*binW, histimg.rows),
Point((i + 1)*binW, histimg.rows - val),
Scalar(buf.at<Vec3b>(i)), -1, 8);
}
}
// Perform CAMShift
calcBackProject(&hue, 1, 0, hist, backproj, &phranges);
backproj &= mask;
RotatedRect trackBox = CamShift(backproj, trackWindow,
TermCriteria(TermCriteria::EPS | TermCriteria::COUNT, 10, 1));
if (trackWindow.area() <= 1)
{
int cols = backproj.cols, rows = backproj.rows, r = (MIN(cols, rows) + 5) / 6;
trackWindow = Rect(trackWindow.x - r, trackWindow.y - r,
trackWindow.x + r, trackWindow.y + r) &
Rect(0, 0, cols, rows);
}
if (backprojMode)
cvtColor(backproj, image, COLOR_GRAY2BGR);
ellipse(image, trackBox, Scalar(0, 0, 255), 3, LINE_AA);
}
}
else if (trackObject < 0)
paused = false;
if (selectObject && selection.width > 0 && selection.height > 0)
{
Mat roi(image, selection);
bitwise_not(roi, roi);
}
imshow("CamShift Demo", image);
imshow("Histogram", histimg);
char c = (char)waitKey(10);
if (c == 27)
break;
switch (c)
{
case 'b':
backprojMode = !backprojMode;
break;
case 'c':
trackObject = 0;
histimg = Scalar::all(0);
break;
case 'h':
showHist = !showHist;
if (!showHist)
destroyWindow("Histogram");
else
namedWindow("Histogram", 1);
break;
case 'p':
paused = !paused;
break;
default:
;
}
}
return 0;
}
我得到的输出结果如下：
然后我 运行 python 中可用的相同 Camshift 示例（添加了几行以检查 opencl 是否可用）
#!/usr/bin/env python
'''
Camshift tracker
================
This is a demo that shows mean-shift based tracking
You select a color objects such as your face and it tracks it.
This reads from video camera (0 by default, or the camera number the user enters)
http://www.robinhewitt.com/research/track/camshift.html
Usage:
------
camshift.py [<video source>]
To initialize tracking, select the object with mouse
Keys:
-----
ESC - exit
b - toggle back-projected probability visualization
'''
# Python 2/3 compatibility
from __future__ import print_function
import sys
PY3 = sys.version_info[0] == 3
if PY3:
xrange = range
import numpy as np
import cv2
# local module
import video
from video import presets
class App(object):
def __init__(self, video_src):
self.cam = video.create_capture(video_src, presets['cube'])
ret, self.frame = self.cam.read()
cv2.namedWindow('camshift')
cv2.setMouseCallback('camshift', self.onmouse)
self.selection = None
self.drag_start = None
self.show_backproj = False
self.track_window = None
def onmouse(self, event, x, y, flags, param):
if event == cv2.EVENT_LBUTTONDOWN:
self.drag_start = (x, y)
self.track_window = None
if self.drag_start:
xmin = min(x, self.drag_start[0])
ymin = min(y, self.drag_start[1])
xmax = max(x, self.drag_start[0])
ymax = max(y, self.drag_start[1])
self.selection = (xmin, ymin, xmax, ymax)
if event == cv2.EVENT_LBUTTONUP:
self.drag_start = None
self.track_window = (xmin, ymin, xmax - xmin, ymax - ymin)
def show_hist(self):
bin_count = self.hist.shape[0]
bin_w = 24
img = np.zeros((256, bin_count*bin_w, 3), np.uint8)
for i in xrange(bin_count):
h = int(self.hist[i])
cv2.rectangle(img, (i*bin_w+2, 255), ((i+1)*bin_w-2, 255-h), (int(180.0*i/bin_count), 255, 255), -1)
img = cv2.cvtColor(img, cv2.COLOR_HSV2BGR)
cv2.imshow('hist', img)
def run(self):
#Check to see if device has opencl
print("---------------------")
if (cv2.ocl.haveOpenCL()):
print("OpenCL available")
else:
print("OpenCL not available")
print("---------------------")
while True:
ret, self.frame = self.cam.read()
vis = self.frame.copy()
hsv = cv2.cvtColor(self.frame, cv2.COLOR_BGR2HSV)
mask = cv2.inRange(hsv, np.array((0., 60., 32.)), np.array((180., 255., 255.)))
if self.selection:
x0, y0, x1, y1 = self.selection
hsv_roi = hsv[y0:y1, x0:x1]
mask_roi = mask[y0:y1, x0:x1]
hist = cv2.calcHist( [hsv_roi], [0], mask_roi, [16], [0, 180] )
cv2.normalize(hist, hist, 0, 255, cv2.NORM_MINMAX)
self.hist = hist.reshape(-1)
self.show_hist()
vis_roi = vis[y0:y1, x0:x1]
cv2.bitwise_not(vis_roi, vis_roi)
vis[mask == 0] = 0
if self.track_window and self.track_window[2] > 0 and self.track_window[3] > 0:
self.selection = None
prob = cv2.calcBackProject([hsv], [0], self.hist, [0, 180], 1)
prob &= mask
term_crit = ( cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 1 )
track_box, self.track_window = cv2.CamShift(prob, self.track_window, term_crit)
if self.show_backproj:
vis[:] = prob[...,np.newaxis]
try:
cv2.ellipse(vis, track_box, (0, 0, 255), 2)
except:
print(track_box)
cv2.imshow('camshift', vis)
ch = cv2.waitKey(5)
if ch == 27:
break
if ch == ord('b'):
self.show_backproj = not self.show_backproj
cv2.destroyAllWindows()
if __name__ == '__main__':
import sys
try:
video_src = sys.argv[1]
except:
video_src = 0
print(__doc__)
App(video_src).run()
得到的结果如下：
General configuration for OpenCV 3.2.0 =====================================
Platform:
Timestamp: 2016-12-23T19:22:45Z
Host: Windows 10.0.14393 AMD64
CMake: 3.6.3
CMake generator: Visual Studio 14 2015 Win64
CMake build tool: C:/Program Files (x86)/MSBuild/14.0/bin/MSBuild.exe
MSVC: 1900
C/C++:
Built as dynamic libs?: YES
C++ Compiler: C:/Program Files (x86)/Microsoft Visual Studio 14.0/VC/bin/x86_amd64/cl.exe (ver 19.0.24215.1)
C++ flags (Release): /DWIN32 /D_WINDOWS /W4 /GR /EHa /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /wd4251 /wd4324 /wd4275 /wd4589 /MP12 /MD /O2 /Ob2 /DNDEBUG /Zi
C++ flags (Debug): /DWIN32 /D_WINDOWS /W4 /GR /EHa /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /wd4251 /wd4324 /wd4275 /wd4589 /MP12 /D_DEBUG /MDd /Zi /Ob0 /Od /RTC1
C Compiler: C:/Program Files (x86)/Microsoft Visual Studio 14.0/VC/bin/x86_amd64/cl.exe
C flags (Release): /DWIN32 /D_WINDOWS /W3 /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /MP12 /MD /O2 /Ob2 /DNDEBUG /Zi
C flags (Debug): /DWIN32 /D_WINDOWS /W3 /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /MP12 /D_DEBUG /MDd /Zi /Ob0 /Od /RTC1
Linker flags (Release): /machine:x64 /INCREMENTAL:NO /debug
Linker flags (Debug): /machine:x64 /debug /INCREMENTAL
ccache: NO
Precompiled headers: YES
Extra dependencies: comctl32 gdi32 ole32 setupapi ws2_32 vfw32 glu32 opengl32 C:/Program Files (x86)/IntelSWTools/compilers_and_libraries/windows/mkl/lib/intel64/mkl_core.lib C:/Program Files (x86)/IntelSWTools/compilers_and_libraries/windows/mkl/lib/intel64/mkl_intel_lp64.lib C:/Program Files (x86)/IntelSWTools/compilers_and_libraries/windows/mkl/lib/intel64/mkl_sequential.lib
3rdparty dependencies: zlib libjpeg libwebp libpng libtiff libjasper IlmImf
OpenCV modules:
To be built: core flann imgproc ml photo video imgcodecs shape videoio highgui objdetect superres ts features2d calib3d stitching videostab python3
Disabled: python2 world
Disabled by dependency: -
Unavailable: cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev java viz
Windows RT support: NO
GUI:
QT: NO
Win32 UI: YES
OpenGL support: YES (glu32 opengl32)
VTK support: NO
Media I/O:
ZLib: build (ver 1.2.8)
JPEG: build (ver 90)
WEBP: build (ver 0.3.1)
PNG: build (ver 1.6.24)
TIFF: build (ver 42 - 4.0.2)
JPEG 2000: build (ver 1.900.1)
OpenEXR: build (ver 1.7.1)
GDAL: NO
GDCM: NO
Video I/O:
Video for Windows: YES
DC1394 1.x: NO
DC1394 2.x: NO
FFMPEG: YES (prebuilt binaries)
avcodec: YES (ver 57.64.101)
avformat: YES (ver 57.56.100)
avutil: YES (ver 55.34.100)
swscale: YES (ver 4.2.100)
avresample: YES (ver 3.1.0)
GStreamer: NO
OpenNI: NO
OpenNI PrimeSensor Modules: NO
OpenNI2: NO
PvAPI: NO
GigEVisionSDK: NO
DirectShow: YES
Media Foundation: NO
XIMEA: NO
Intel PerC: NO
Parallel framework: Concurrency
Other third-party libraries:
Use IPP: 9.0.1 [9.0.1]
at: D:/Build/OpenCV/opencv-3.2.0-vc14-x64/3rdparty/ippicv/ippicv_win
Use IPP Async: NO
Use Lapack: YES (C:/Program Files (x86)/IntelSWTools/compilers_and_libraries/windows/mkl/lib/intel64/mkl_core.lib C:/Program Files (x86)/IntelSWTools/compilers_and_libraries/windows/mkl/lib/intel64/mkl_intel_lp64.lib C:/Program Files (x86)/IntelSWTools/compilers_and_libraries/windows/mkl/lib/intel64/mkl_sequential.lib)
Use Eigen: NO
Use Cuda: NO
Use OpenCL: NO
Use OpenVX: NO
Use custom HAL: NO
Python 2:
Interpreter: X:/Python27-x64/python.exe (ver 2.7.13)
Python 3:
Interpreter: X:/Python36/python.exe (ver 3.6)
Libraries: X:/Python36/libs/Python36.lib (ver 3.6.0)
numpy: X:/Python36/lib/site-packages/numpy/core/include (ver 1.11.3)
packages path: X:/Python36/Lib/site-packages
Python (for build): X:/Python27-x64/python.exe
Java:
ant: NO
JNI: NO
Java wrappers: NO
Java tests: NO
Matlab: NO
Documentation:
Doxygen: NO
Tests and samples:
Tests: YES
Performance tests: YES
C/C++ Examples: NO
Install path: D:/Build/OpenCV/opencv-3.2.0-vc14-x64/install
cvconfig.h is in: D:/Build/OpenCV/opencv-3.2.0-vc14-x64
试试这个：
import cv2
print(cv2.ocl.haveOpenCL())
cv2.ocl.setUseOpenCL(True)
print(cv2.ocl.useOpenCL())
print(cv2.ocl.haveAmdBlas())
print(cv2.ocl.haveAmdFft())
输出：
True # Have OpenCL
True # Use OpenCL
False
False
就我而言，我没有 AMD-BLAS、AMD-FTT
我解决了这个问题，原来我使用的 opencv_opencv_python-3.2.0-cp36-cp36m-win_amd64.whl 文件不是用 OpenCL 构建的，我只需要替换所有python 站点包文件夹中的 dll 文件以及来自 opencv build 文件夹的 .pyd 和 dll 文件。
我正在使用 2 个示例脚本来检查 python 3.6 是否可以在 windows 上使用 Opencv 的 OpenCL 功能。我尝试 运行 示例中提供的几个与 CAMSHIFT 相关的示例，并检查我是否有 OpenCL。
我很想知道为什么 python 显示我没有 opencl 而带有 VS 的 C++ 显示我有启用 opencl 的设备
系统信息：
Opencv 3.2.0 使用 Opencl 从源代码构建并添加了 python 和 numpy 库
Python 3.6 用于 windows 64 位
Visual Studio 2015 社区版
Numpy 使用
pip install numpy-1.12.0-cp36-none-win_amd64.whl
Python 3.6 使用
python 的 Opnecvpip install opencv_opencv_python-3.2.0-cp36-cp36m-win_amd64.whl
我运行 VS2015 上提供的以下示例（添加了一个小代码块以检查启用 opencl 的设备是否可用）
#include <opencv2/core/utility.hpp>
#include "opencv2/video/tracking.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/videoio.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/core/ocl.hpp"
#include <stdio.h>
#include <string.h>
#include <iostream>
#include <ctype.h>
using namespace cv;
using namespace std;
Mat image;
bool backprojMode = false;
bool selectObject = false;
int trackObject = 0;
bool showHist = true;
Point origin;
Rect selection;
int vmin = 10, vmax = 256, smin = 30;
// User draws box around object to track. This triggers CAMShift to start tracking
static void onMouse(int event, int x, int y, int, void*)
{
if (selectObject)
{
selection.x = MIN(x, origin.x);
selection.y = MIN(y, origin.y);
selection.width = std::abs(x - origin.x);
selection.height = std::abs(y - origin.y);
selection &= Rect(0, 0, image.cols, image.rows);
}
switch (event)
{
case EVENT_LBUTTONDOWN:
origin = Point(x, y);
selection = Rect(x, y, 0, 0);
selectObject = true;
break;
case EVENT_LBUTTONUP:
selectObject = false;
if (selection.width > 0 && selection.height > 0)
trackObject = -1; // Set up CAMShift properties in main() loop
break;
}
}
string hot_keys =
"\n\nHot keys: \n"
"\tESC - quit the program\n"
"\tc - stop the tracking\n"
"\tb - switch to/from backprojection view\n"
"\th - show/hide object histogram\n"
"\tp - pause video\n"
"To initialize tracking, select the object with mouse\n";
static void help()
{
cout << "\nThis is a demo that shows mean-shift based tracking\n"
"You select a color objects such as your face and it tracks it.\n"
"This reads from video camera (0 by default, or the camera number the user enters\n"
"Usage: \n"
" ./camshiftdemo [camera number]\n";
cout << hot_keys;
}
const char* keys =
{
"{help h | | show help message}{@camera_number| 0 | camera number}"
};
int main(int argc, const char** argv)
{
// Start of OpenCL Check
if (!cv::ocl::haveOpenCL()) { printf("Computer Vision library is not available...\n"); }
else {
//printf << "\nOpenCL IS AVAILABLE!\n" << endl;
cv::ocl::setUseOpenCL(true);
cv::ocl::Context context;
if (!context.create(cv::ocl::Device::TYPE_ALL)) { printf("Failed creating the context...\n"); }
else { printf("Successfully created context!\n"); }
printf("Connected Device(s): %zd \n", context.ndevices()); //This bit provides an overview of the OpenCL devices you have in your computer
for (int i = 0; i < context.ndevices(); i++) {
cv::ocl::Device device = context.device(i);
cout << "name: " << device.name() << endl;
cout << "available: " << device.available() << endl;
cout << "imageSupport: " << device.imageSupport() << endl;
cout << "OpenCL_C_Version: " << device.OpenCL_C_Version() << endl;
cout << endl;
}
}
// END of OpenCL Check
VideoCapture cap;
Rect trackWindow;
int hsize = 16;
float hranges[] = { 0,180 };
const float* phranges = hranges;
CommandLineParser parser(argc, argv, keys);
if (parser.has("help"))
{
help();
return 0;
}
int camNum = parser.get<int>(0);
cap.open(camNum);
if (!cap.isOpened())
{
help();
cout << "***Could not initialize capturing...***\n";
cout << "Current parameter's value: \n";
parser.printMessage();
return -1;
}
cout << hot_keys;
namedWindow("Histogram", 0);
namedWindow("CamShift Demo", 0);
setMouseCallback("CamShift Demo", onMouse, 0);
createTrackbar("Vmin", "CamShift Demo", &vmin, 256, 0);
createTrackbar("Vmax", "CamShift Demo", &vmax, 256, 0);
createTrackbar("Smin", "CamShift Demo", &smin, 256, 0);
Mat frame, hsv, hue, mask, hist, histimg = Mat::zeros(200, 320, CV_8UC3), backproj;
bool paused = false;
for (;;)
{
if (!paused)
{
cap >> frame;
if (frame.empty())
break;
}
frame.copyTo(image);
if (!paused)
{
cvtColor(image, hsv, COLOR_BGR2HSV);
if (trackObject)
{
int _vmin = vmin, _vmax = vmax;
inRange(hsv, Scalar(0, smin, MIN(_vmin, _vmax)),
Scalar(180, 256, MAX(_vmin, _vmax)), mask);
int ch[] = { 0, 0 };
hue.create(hsv.size(), hsv.depth());
mixChannels(&hsv, 1, &hue, 1, ch, 1);
if (trackObject < 0)
{
// Object has been selected by user, set up CAMShift search properties once
Mat roi(hue, selection), maskroi(mask, selection);
calcHist(&roi, 1, 0, maskroi, hist, 1, &hsize, &phranges);
normalize(hist, hist, 0, 255, NORM_MINMAX);
trackWindow = selection;
trackObject = 1; // Don't set up again, unless user selects new ROI
histimg = Scalar::all(0);
int binW = histimg.cols / hsize;
Mat buf(1, hsize, CV_8UC3);
for (int i = 0; i < hsize; i++)
buf.at<Vec3b>(i) = Vec3b(saturate_cast<uchar>(i*180. / hsize), 255, 255);
cvtColor(buf, buf, COLOR_HSV2BGR);
for (int i = 0; i < hsize; i++)
{
int val = saturate_cast<int>(hist.at<float>(i)*histimg.rows / 255);
rectangle(histimg, Point(i*binW, histimg.rows),
Point((i + 1)*binW, histimg.rows - val),
Scalar(buf.at<Vec3b>(i)), -1, 8);
}
}
// Perform CAMShift
calcBackProject(&hue, 1, 0, hist, backproj, &phranges);
backproj &= mask;
RotatedRect trackBox = CamShift(backproj, trackWindow,
TermCriteria(TermCriteria::EPS | TermCriteria::COUNT, 10, 1));
if (trackWindow.area() <= 1)
{
int cols = backproj.cols, rows = backproj.rows, r = (MIN(cols, rows) + 5) / 6;
trackWindow = Rect(trackWindow.x - r, trackWindow.y - r,
trackWindow.x + r, trackWindow.y + r) &
Rect(0, 0, cols, rows);
}
if (backprojMode)
cvtColor(backproj, image, COLOR_GRAY2BGR);
ellipse(image, trackBox, Scalar(0, 0, 255), 3, LINE_AA);
}
}
else if (trackObject < 0)
paused = false;
if (selectObject && selection.width > 0 && selection.height > 0)
{
Mat roi(image, selection);
bitwise_not(roi, roi);
}
imshow("CamShift Demo", image);
imshow("Histogram", histimg);
char c = (char)waitKey(10);
if (c == 27)
break;
switch (c)
{
case 'b':
backprojMode = !backprojMode;
break;
case 'c':
trackObject = 0;
histimg = Scalar::all(0);
break;
case 'h':
showHist = !showHist;
if (!showHist)
destroyWindow("Histogram");
else
namedWindow("Histogram", 1);
break;
case 'p':
paused = !paused;
break;
default:
;
}
}
return 0;
}
我得到的输出结果如下：
然后我 运行 python 中可用的相同 Camshift 示例（添加了几行以检查 opencl 是否可用）
#!/usr/bin/env python
'''
Camshift tracker
================
This is a demo that shows mean-shift based tracking
You select a color objects such as your face and it tracks it.
This reads from video camera (0 by default, or the camera number the user enters)
http://www.robinhewitt.com/research/track/camshift.html
Usage:
------
camshift.py [<video source>]
To initialize tracking, select the object with mouse
Keys:
-----
ESC - exit
b - toggle back-projected probability visualization
'''
# Python 2/3 compatibility
from __future__ import print_function
import sys
PY3 = sys.version_info[0] == 3
if PY3:
xrange = range
import numpy as np
import cv2
# local module
import video
from video import presets
class App(object):
def __init__(self, video_src):
self.cam = video.create_capture(video_src, presets['cube'])
ret, self.frame = self.cam.read()
cv2.namedWindow('camshift')
cv2.setMouseCallback('camshift', self.onmouse)
self.selection = None
self.drag_start = None
self.show_backproj = False
self.track_window = None
def onmouse(self, event, x, y, flags, param):
if event == cv2.EVENT_LBUTTONDOWN:
self.drag_start = (x, y)
self.track_window = None
if self.drag_start:
xmin = min(x, self.drag_start[0])
ymin = min(y, self.drag_start[1])
xmax = max(x, self.drag_start[0])
ymax = max(y, self.drag_start[1])
self.selection = (xmin, ymin, xmax, ymax)
if event == cv2.EVENT_LBUTTONUP:
self.drag_start = None
self.track_window = (xmin, ymin, xmax - xmin, ymax - ymin)
def show_hist(self):
bin_count = self.hist.shape[0]
bin_w = 24
img = np.zeros((256, bin_count*bin_w, 3), np.uint8)
for i in xrange(bin_count):
h = int(self.hist[i])
cv2.rectangle(img, (i*bin_w+2, 255), ((i+1)*bin_w-2, 255-h), (int(180.0*i/bin_count), 255, 255), -1)
img = cv2.cvtColor(img, cv2.COLOR_HSV2BGR)
cv2.imshow('hist', img)
def run(self):
#Check to see if device has opencl
print("---------------------")
if (cv2.ocl.haveOpenCL()):
print("OpenCL available")
else:
print("OpenCL not available")
print("---------------------")
while True:
ret, self.frame = self.cam.read()
vis = self.frame.copy()
hsv = cv2.cvtColor(self.frame, cv2.COLOR_BGR2HSV)
mask = cv2.inRange(hsv, np.array((0., 60., 32.)), np.array((180., 255., 255.)))
if self.selection:
x0, y0, x1, y1 = self.selection
hsv_roi = hsv[y0:y1, x0:x1]
mask_roi = mask[y0:y1, x0:x1]
hist = cv2.calcHist( [hsv_roi], [0], mask_roi, [16], [0, 180] )
cv2.normalize(hist, hist, 0, 255, cv2.NORM_MINMAX)
self.hist = hist.reshape(-1)
self.show_hist()
vis_roi = vis[y0:y1, x0:x1]
cv2.bitwise_not(vis_roi, vis_roi)
vis[mask == 0] = 0
if self.track_window and self.track_window[2] > 0 and self.track_window[3] > 0:
self.selection = None
prob = cv2.calcBackProject([hsv], [0], self.hist, [0, 180], 1)
prob &= mask
term_crit = ( cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 1 )
track_box, self.track_window = cv2.CamShift(prob, self.track_window, term_crit)
if self.show_backproj:
vis[:] = prob[...,np.newaxis]
try:
cv2.ellipse(vis, track_box, (0, 0, 255), 2)
except:
print(track_box)
cv2.imshow('camshift', vis)
ch = cv2.waitKey(5)
if ch == 27:
break
if ch == ord('b'):
self.show_backproj = not self.show_backproj
cv2.destroyAllWindows()
if __name__ == '__main__':
import sys
try:
video_src = sys.argv[1]
except:
video_src = 0
print(__doc__)
App(video_src).run()
得到的结果如下：
General configuration for OpenCV 3.2.0 =====================================
Platform:
Timestamp: 2016-12-23T19:22:45Z
Host: Windows 10.0.14393 AMD64
CMake: 3.6.3
CMake generator: Visual Studio 14 2015 Win64
CMake build tool: C:/Program Files (x86)/MSBuild/14.0/bin/MSBuild.exe
MSVC: 1900
C/C++:
Built as dynamic libs?: YES
C++ Compiler: C:/Program Files (x86)/Microsoft Visual Studio 14.0/VC/bin/x86_amd64/cl.exe (ver 19.0.24215.1)
C++ flags (Release): /DWIN32 /D_WINDOWS /W4 /GR /EHa /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /wd4251 /wd4324 /wd4275 /wd4589 /MP12 /MD /O2 /Ob2 /DNDEBUG /Zi
C++ flags (Debug): /DWIN32 /D_WINDOWS /W4 /GR /EHa /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /wd4251 /wd4324 /wd4275 /wd4589 /MP12 /D_DEBUG /MDd /Zi /Ob0 /Od /RTC1
C Compiler: C:/Program Files (x86)/Microsoft Visual Studio 14.0/VC/bin/x86_amd64/cl.exe
C flags (Release): /DWIN32 /D_WINDOWS /W3 /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /MP12 /MD /O2 /Ob2 /DNDEBUG /Zi
C flags (Debug): /DWIN32 /D_WINDOWS /W3 /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /MP12 /D_DEBUG /MDd /Zi /Ob0 /Od /RTC1
Linker flags (Release): /machine:x64 /INCREMENTAL:NO /debug
Linker flags (Debug): /machine:x64 /debug /INCREMENTAL
ccache: NO
Precompiled headers: YES
Extra dependencies: comctl32 gdi32 ole32 setupapi ws2_32 vfw32 glu32 opengl32 C:/Program Files (x86)/IntelSWTools/compilers_and_libraries/windows/mkl/lib/intel64/mkl_core.lib C:/Program Files (x86)/IntelSWTools/compilers_and_libraries/windows/mkl/lib/intel64/mkl_intel_lp64.lib C:/Program Files (x86)/IntelSWTools/compilers_and_libraries/windows/mkl/lib/intel64/mkl_sequential.lib
3rdparty dependencies: zlib libjpeg libwebp libpng libtiff libjasper IlmImf
OpenCV modules:
To be built: core flann imgproc ml photo video imgcodecs shape videoio highgui objdetect superres ts features2d calib3d stitching videostab python3
Disabled: python2 world
Disabled by dependency: -
Unavailable: cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev java viz
Windows RT support: NO
GUI:
QT: NO
Win32 UI: YES
OpenGL support: YES (glu32 opengl32)
VTK support: NO
Media I/O:
ZLib: build (ver 1.2.8)
JPEG: build (ver 90)
WEBP: build (ver 0.3.1)
PNG: build (ver 1.6.24)
TIFF: build (ver 42 - 4.0.2)
JPEG 2000: build (ver 1.900.1)
OpenEXR: build (ver 1.7.1)
GDAL: NO
GDCM: NO
Video I/O:
Video for Windows: YES
DC1394 1.x: NO
DC1394 2.x: NO
FFMPEG: YES (prebuilt binaries)
avcodec: YES (ver 57.64.101)
avformat: YES (ver 57.56.100)
avutil: YES (ver 55.34.100)
swscale: YES (ver 4.2.100)
avresample: YES (ver 3.1.0)
GStreamer: NO
OpenNI: NO
OpenNI PrimeSensor Modules: NO
OpenNI2: NO
PvAPI: NO
GigEVisionSDK: NO
DirectShow: YES
Media Foundation: NO
XIMEA: NO
Intel PerC: NO
Parallel framework: Concurrency
Other third-party libraries:
Use IPP: 9.0.1 [9.0.1]
at: D:/Build/OpenCV/opencv-3.2.0-vc14-x64/3rdparty/ippicv/ippicv_win
Use IPP Async: NO
Use Lapack: YES (C:/Program Files (x86)/IntelSWTools/compilers_and_libraries/windows/mkl/lib/intel64/mkl_core.lib C:/Program Files (x86)/IntelSWTools/compilers_and_libraries/windows/mkl/lib/intel64/mkl_intel_lp64.lib C:/Program Files (x86)/IntelSWTools/compilers_and_libraries/windows/mkl/lib/intel64/mkl_sequential.lib)
Use Eigen: NO
Use Cuda: NO
Use OpenCL: NO
Use OpenVX: NO
Use custom HAL: NO
Python 2:
Interpreter: X:/Python27-x64/python.exe (ver 2.7.13)
Python 3:
Interpreter: X:/Python36/python.exe (ver 3.6)
Libraries: X:/Python36/libs/Python36.lib (ver 3.6.0)
numpy: X:/Python36/lib/site-packages/numpy/core/include (ver 1.11.3)
packages path: X:/Python36/Lib/site-packages
Python (for build): X:/Python27-x64/python.exe
Java:
ant: NO
JNI: NO
Java wrappers: NO
Java tests: NO
Matlab: NO
Documentation:
Doxygen: NO
Tests and samples:
Tests: YES
Performance tests: YES
C/C++ Examples: NO
Install path: D:/Build/OpenCV/opencv-3.2.0-vc14-x64/install
cvconfig.h is in: D:/Build/OpenCV/opencv-3.2.0-vc14-x64
试试这个：
import cv2
print(cv2.ocl.haveOpenCL())
cv2.ocl.setUseOpenCL(True)
print(cv2.ocl.useOpenCL())
print(cv2.ocl.haveAmdBlas())
print(cv2.ocl.haveAmdFft())
输出：
True # Have OpenCL
True # Use OpenCL
False
False
就我而言，我没有 AMD-BLAS、AMD-FTT
我解决了这个问题，原来我使用的 opencv_opencv_python-3.2.0-cp36-cp36m-win_amd64.whl 文件不是用 OpenCL 构建的，我只需要替换所有python 站点包文件夹中的 dll 文件以及来自 opencv build 文件夹的 .pyd 和 dll 文件。