質問編集履歴

コードの場所を変えました。エラーメッセージはコピペしました。

2020/02/07 13:41

投稿

ono3

スコア4

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@@ -1,4 +1,356 @@
+```ここに言語を入力
+from __future__ import division
+import time
+import os,sys
+#sys.path.append(os.getcwd())
+#from Adafruit_Python_PCA9685.Adafruit_PCA9685 import Adafruit_PCA9685
+#from Adafruit_Python_PCA9685 import Adafruit_PCA9685
+import Adafruit_PCA9685
+pwm = Adafruit_PCA9685.PCA9685()
+pwm.set_pwm_freq(50)
+import cv2
+print(cv2)
+import sys
+import cv2.cv as cv
+#import cv2
+#import cv2 as cv
+from optparse import OptionParser
+def move(degree_1,degree_2):
+    degree_1 = int(degree_1 * 5.27)
+    degree_2 = int(degree_2 * 5.27)
+    pwm.set_pwm(0, 0, degree_1)
+    pwm.set_pwm(1, 0, degree_2)
+# Parameters for haar detection
+# From the API:
+# The default parameters (scale_factor=2, min_neighbors=3, flags=0) are tuned
+# for accurate yet slow object detection. For a faster operation on real video
+# images the settings are:
+# scale_factor=1.2, min_neighbors=2, flags=CV_HAAR_DO_CANNY_PRUNING,
+# min_size=<minimum possible face size
+min_size = (20, 20)
+image_scale = 2
+haar_scale = 1.2
+min_neighbors = 2
+haar_flags = 0
+def detect_and_draw(img, cascade):
+    # allocate temporary images
+    gray = cv.CreateImage((img.width,img.height), 8, 1)
+    small_img = cv.CreateImage((cv.Round(img.width / image_scale),
+			       cv.Round (img.height / image_scale)), 8, 1)
+    # convert color input image to grayscale
+    cv.CvtColor(img, gray, cv.CV_BGR2GRAY)
+    # scale input image for faster processing
+    cv.Resize(gray, small_img, cv.CV_INTER_LINEAR)
+    cv.EqualizeHist(small_img, small_img)
+    if(cascade):
+        t = cv.GetTickCount()
+        faces = cv.HaarDetectObjects(small_img, cascade, cv.CreateMemStorage(0),
+                                     haar_scale, min_neighbors, haar_flags, min_size)
+        t = cv.GetTickCount() - t
+        print "detection time = %gms" % (t/(cv.GetTickFrequency()*1000.))
+        if faces:
+            for ((x, y, w, h), n) in faces:
+                # the input to cv.HaarDetectObjects was resized, so scale the
+                # bounding box of each face and convert it to two CvPoints
+                pt1 = (int(x * image_scale), int(y * image_scale))
+                pt2 = (int((x + w) * image_scale), int((y + h) * image_scale))
+                cv.Rectangle(img, pt1, pt2, cv.RGB(255, 0, 0), 3, 8, 0)
+    cv.ShowImage("result", img)
+if __name__ == '__main__':
+    print('move')
+    move(60,60)
+    time.sleep(1)
+    move(65,60)
+    time.sleep(1)
+    move(65,65)
+    time.sleep(1)
+    move(60,65)
+    time.sleep(1)
+    move(60,55)
+    time.sleep(1)
+    print('stop')
+    print('koko')
+    parser = OptionParser(usage = "usage: %prog [options] [filename|camera_index]")
+    parser.add_option("-c", "--cascade", action="store", dest="cascade", type="str", help="Haar cascade file, default %default", default = "../data/haarcascades/haarcascade_frontalface_alt.xml")
+    (options, args) = parser.parse_args()
+    cascade = cv.Load(options.cascade)
+    if len(args) != 1:
+        parser.print_help()
+        sys.exit(1)
+    print('koko1')
+    input_name = args[0]
+    if input_name.isdigit():
+        capture = cv.CreateCameraCapture(int(input_name))
+        print('koko222')
+    else:
+        capture = None
+        print('koko2')
+    print('abspath:     ', os.path.abspath(__file__))
+    print('abs dirname: ', os.path.dirname(os.path.abspath(__file__)))
+    print('koko3')
+    cv.NamedWindow("result",0)
+    #cv.NamedWindow("aresult")
+    print('koko4')
+    width = 320 #leave None for auto-detection
+    height = 240 #leave None for auto-detection
+    if width is None:
+    	width = int(cv.GetCaptureProperty(capture, cv.CV_CAP_PROP_FRAME_WIDTH))
+    else:
+    	cv.SetCaptureProperty(capture,cv.CV_CAP_PROP_FRAME_WIDTH,width)
+    if height is None:
+	height = int(cv.GetCaptureProperty(capture, cv.CV_CAP_PROP_FRAME_HEIGHT))
+    else:
+	cv.SetCaptureProperty(capture,cv.CV_CAP_PROP_FRAME_HEIGHT,height)
+    if capture:
+        frame_copy = None
+        while True:
+            frame = cv.QueryFrame(capture)
+            if not frame:
+                cv.WaitKey(0)
+                break
+            if not frame_copy:
+                frame_copy = cv.CreateImage((frame.width,frame.height),
+                                            cv.IPL_DEPTH_8U, frame.nChannels)
+#                frame_copy = cv.CreateImage((frame.width,frame.height),
+#                                            cv.IPL_DEPTH_8U, frame.nChannels)
+            if frame.origin == cv.IPL_ORIGIN_TL:
+                cv.Copy(frame, frame_copy)
+            else:
+                cv.Flip(frame, frame_copy, 0)
+            detect_and_draw(frame_copy, cascade)
+            kuri=1
+            print('move')
+            move(60+kuri,60+kuri)
+            time.sleep(1)
+            kuri=-5
+            move(60+kuri,60+kuri)
+            time.sleep(1)
+            if cv.WaitKey(10) >= 0:
+                break
+    else:
+        image = cv.LoadImage(input_name, 1)
+        detect_and_draw(image, cascade)
+        cv.WaitKey(0)
+    cv.DestroyWindow("result")
-### 前提・実現したいこと
+```### 前提・実現したいこと
@@ -6,11 +358,17 @@
 ### 発生している問題・エラーメッセージ
+sudo実行で、
 SUDO python m-facedtect.py --cascae=face.xml 0 だと、下記のエラーです。
 Client is not authorized to connect to Server
-(result:2824): Gtk-WARNING **: cannot open display:  :0.0
+(result:3174): Gtk-WARNING **: cannot open display: :0.0
 調べると、import cv2cv as cv としていて、コードが、
@@ -18,371 +376,43 @@
 のところです。
-sudoなしで、python m-facedtect.py --cascae=face.xml 0 だと、下記のエラーです。
-Traceback (most recent call last)
-  File 'm-facedetect.py', line 12,<modle>
-    pwm=Adafruit.PCA9685()
-  ```
-  など、i2cでのサーボモータ関連の部分が、エラーになります。
-### 該当のソースコード　```python
-from __future__ import division
-import time
-import os,sys
-#sys.path.append(os.getcwd())
-#from Adafruit_Python_PCA9685.Adafruit_PCA9685 import Adafruit_PCA9685
-#from Adafruit_Python_PCA9685 import Adafruit_PCA9685
-import Adafruit_PCA9685
-pwm = Adafruit_PCA9685.PCA9685()
-pwm.set_pwm_freq(50)
-import cv2
-print(cv2)
-import sys
-import cv2.cv as cv
-#import cv2
-#import cv2 as cv
-from optparse import OptionParser
-def move(degree_1,degree_2):
-    degree_1 = int(degree_1 * 5.27)
-    degree_2 = int(degree_2 * 5.27)
-    pwm.set_pwm(0, 0, degree_1)
-    pwm.set_pwm(1, 0, degree_2)
-# Parameters for haar detection
-# From the API:
-# The default parameters (scale_factor=2, min_neighbors=3, flags=0) are tuned
-# for accurate yet slow object detection. For a faster operation on real video
-# images the settings are:
-# scale_factor=1.2, min_neighbors=2, flags=CV_HAAR_DO_CANNY_PRUNING,
-# min_size=<minimum possible face size
-min_size = (20, 20)
-image_scale = 2
-haar_scale = 1.2
-min_neighbors = 2
-haar_flags = 0
-def detect_and_draw(img, cascade):
-    # allocate temporary images
-    gray = cv.CreateImage((img.width,img.height), 8, 1)
-    small_img = cv.CreateImage((cv.Round(img.width / image_scale),
-			       cv.Round (img.height / image_scale)), 8, 1)
-    # convert color input image to grayscale
-    cv.CvtColor(img, gray, cv.CV_BGR2GRAY)
-    # scale input image for faster processing
-    cv.Resize(gray, small_img, cv.CV_INTER_LINEAR)
-    cv.EqualizeHist(small_img, small_img)
-    if(cascade):
-        t = cv.GetTickCount()
-        faces = cv.HaarDetectObjects(small_img, cascade, cv.CreateMemStorage(0),
-                                     haar_scale, min_neighbors, haar_flags, min_size)
-        t = cv.GetTickCount() - t
-        print "detection time = %gms" % (t/(cv.GetTickFrequency()*1000.))
-        if faces:
-            for ((x, y, w, h), n) in faces:
-                # the input to cv.HaarDetectObjects was resized, so scale the
-                # bounding box of each face and convert it to two CvPoints
-                pt1 = (int(x * image_scale), int(y * image_scale))
-                pt2 = (int((x + w) * image_scale), int((y + h) * image_scale))
-                cv.Rectangle(img, pt1, pt2, cv.RGB(255, 0, 0), 3, 8, 0)
-    cv.ShowImage("result", img)
-if __name__ == '__main__':
-    print('move')
-    move(60,60)
-    time.sleep(1)
-    move(65,60)
-    time.sleep(1)
-    move(65,65)
-    time.sleep(1)
-    move(60,65)
-    time.sleep(1)
-    move(60,55)
-    time.sleep(1)
-    print('stop')
-    print('koko')
-    parser = OptionParser(usage = "usage: %prog [options] [filename|camera_index]")
-    parser.add_option("-c", "--cascade", action="store", dest="cascade", type="str", help="Haar cascade file, default %default", default = "../data/haarcascades/haarcascade_frontalface_alt.xml")
-    (options, args) = parser.parse_args()
-    cascade = cv.Load(options.cascade)
-    if len(args) != 1:
-        parser.print_help()
-        sys.exit(1)
-    print('koko1')
-    input_name = args[0]
-    if input_name.isdigit():
-        capture = cv.CreateCameraCapture(int(input_name))
-        print('koko222')
-    else:
-        capture = None
-        print('koko2')
-    print('abspath:     ', os.path.abspath(__file__))
-    print('abs dirname: ', os.path.dirname(os.path.abspath(__file__)))
-    print('koko3')
-    cv.NamedWindow("result",0)
-    #cv.NamedWindow("aresult")
-    print('koko4')
-    width = 320 #leave None for auto-detection
-    height = 240 #leave None for auto-detection
-    if width is None:
-    	width = int(cv.GetCaptureProperty(capture, cv.CV_CAP_PROP_FRAME_WIDTH))
-    else:
-    	cv.SetCaptureProperty(capture,cv.CV_CAP_PROP_FRAME_WIDTH,width)
-    if height is None:
-	height = int(cv.GetCaptureProperty(capture, cv.CV_CAP_PROP_FRAME_HEIGHT))
-    else:
-	cv.SetCaptureProperty(capture,cv.CV_CAP_PROP_FRAME_HEIGHT,height)
-    if capture:
-        frame_copy = None
-        while True:
-            frame = cv.QueryFrame(capture)
-            if not frame:
-                cv.WaitKey(0)
-                break
-            if not frame_copy:
-                frame_copy = cv.CreateImage((frame.width,frame.height),
-                                            cv.IPL_DEPTH_8U, frame.nChannels)
-#                frame_copy = cv.CreateImage((frame.width,frame.height),
-#                                            cv.IPL_DEPTH_8U, frame.nChannels)
-            if frame.origin == cv.IPL_ORIGIN_TL:
-                cv.Copy(frame, frame_copy)
-            else:
-                cv.Flip(frame, frame_copy, 0)
-            detect_and_draw(frame_copy, cascade)
-            kuri=1
-            print('move')
-            move(60+kuri,60+kuri)
-            time.sleep(1)
-            kuri=-5
-            move(60+kuri,60+kuri)
-            time.sleep(1)
-            if cv.WaitKey(10) >= 0:
-                break
-    else:
-        image = cv.LoadImage(input_name, 1)
-        detect_and_draw(image, cascade)
-        cv.WaitKey(0)
-    cv.DestroyWindow("result")
+sudoなしの実行で、python m-facedtect.py --cascae=face.xml 0 だと、下記のエラーです。
+Traceback (most recent call last):
+  File "m-facedetect.py", line 12, in <module>
+    pwm = Adafruit_PCA9685.PCA9685()
+  File "/usr/local/lib/python2.7/dist-packages/Adafruit_PCA9685-1.0.1-py2.7.egg/Adafruit_PCA9685/PCA9685.py", line 75, in __init__
+    self._device = i2c.get_i2c_device(address, **kwargs)
+  File "/usr/local/lib/python2.7/dist-packages/Adafruit_GPIO-1.0.3-py2.7.egg/Adafruit_GPIO/I2C.py", line 65, in get_i2c_device
+    return Device(address, busnum, i2c_interface, **kwargs)
+  File "/usr/local/lib/python2.7/dist-packages/Adafruit_GPIO-1.0.3-py2.7.egg/Adafruit_GPIO/I2C.py", line 98, in __init__
+    self._bus = Adafruit_PureIO.smbus.SMBus(busnum)
+  File "/usr/local/lib/python2.7/dist-packages/Adafruit_PureIO-0.2.1-py2.7.egg/Adafruit_PureIO/smbus.py", line 97, in __init__
+    self.open(bus)
+  File "/usr/local/lib/python2.7/dist-packages/Adafruit_PureIO-0.2.1-py2.7.egg/Adafruit_PureIO/smbus.py", line 122, in open
+    self._device = open('/dev/i2c-{0}'.format(bus), 'r+b', buffering=0)
+IOError: [Errno 13] Permission denied: '/dev/i2c-1'
+### 該当のソースコード
 ### 試したこと