Python Image.rotate方法代码示例

# 需要导入模块: from SimpleCV import Image [as 别名]
# 或者: from SimpleCV.Image import rotate [as 别名]
def correct_alignment(si, image_path):
	new_file_path = step_file_path(si, 'correct-alignment')
	img = Image(image_path)
	if (img.width > img.height):
		img.rotate(-90, fixed=False).save(new_file_path)
	else:
		img.save(new_file_path)
	si.step_outputs.append(new_file_path)
	return new_file_path

# 需要导入模块: from SimpleCV import Image [as 别名]
# 或者: from SimpleCV.Image import rotate [as 别名]
	def correct_alignment(self, img_path):
		new_file_path = self.nfn('correct-alignment')
		img = Image(img_path)
		if (img.width > img.height):
			img.rotate(-90, fixed=False).save(new_file_path)
		else:
			img.save(new_file_path)
		self.transformations.append(new_file_path)
		return new_file_path

# 需要导入模块: from SimpleCV import Image [as 别名]
# 或者: from SimpleCV.Image import rotate [as 别名]
	def rotate(self, img_path, shoe_measurements):
		img = Image(img_path)
		new_file_path = self.nfn('rotated')
		img = img.rotate(shoe_measurements.toe_heel_angle(), point=shoe_measurements.cleat_length_intersection())
		self.transformations.append(new_file_path)
		img.save(new_file_path)
		return new_file_path

# 需要导入模块: from SimpleCV import Image [as 别名]
# 或者: from SimpleCV.Image import rotate [as 别名]
def rotate_and_resize(si, left_sm, right_sm):
	new_file_path = step_file_path(si, 'rotate')
	img = Image(si.step_outputs[-1:][0])
	rot = right_sm.toe_heel_angle() + left_sm.toe_heel_angle()
	img = img.rotate(rot, fixed=True)
	si.step_outputs.append(new_file_path)
	img.save(new_file_path)

	scale = left_sm.shoe_length() / right_sm.shoe_length()

	new_file_path = step_file_path(si, 'scale-length')
	img = img.scale(scale)
	si.step_outputs.append(new_file_path)
	img.save(new_file_path)

	# We also resize the original file
	orig_img = Image(si.step_outputs[0])
	orig_img = orig_img.rotate(rot, fixed=True)
	orig_img = orig_img.scale(scale)

	new_file_path = step_file_path(si, 'transformed-original')
	si.step_outputs.append(new_file_path)
	orig_img.save(new_file_path)
	return new_file_path

# 需要导入模块: from SimpleCV import Image [as 别名]
# 或者: from SimpleCV.Image import rotate [as 别名]
    def getRotateBoxTest(self):
        if not self._rotBoxTest:

            grayImg = self.image.toGray()
            diff = grayImg - self._boxFilter(grayImg, 35)

            result = [0]*18

            if not self.ellipse.error and self.ellipse.a > 0 and self.ellipse.b > 0:
                res = countInWindowEst(diff.threshold(6).getGrayNumpy(), 5)
                res = self._getRotatedAndScaledGalImg(Image(res))

                if res != None:
                    res = res.getGrayNumpy()

                    img = Image(res)
                    ellipse = self.ellipse
                    center = (img.width/2, img.height/2)
                    width = 10
                    diameter = int(max(ellipse.a, ellipse.b)*2)
                    mask = np.zeros_like(img.getGrayNumpy(), dtype=np.bool)
                    mask[center[0]-width/2:center[0]+width/2, center[1]-diameter/2:center[1]+diameter/2] = True
                    mask = Image(mask).threshold(0)

                    maxI = 0
                    maxThetaVal = 0

                    values = []

                    for i, theta in enumerate(xrange(-90, 90, 10)):
                        masked = (img & mask.rotate(theta, point=(img.width/2, img.height/2))).getGrayNumpy()
                        val = np.sum(masked)/float(img.width*img.height)
                        values.append(val)

                        if val > maxThetaVal:
                            maxThetaVal = val
                            maxI = i

                    result[0:len(values)-maxI] = values[maxI:]
                    result[len(values)-maxI:] = values[0:maxI]

            self._rotBoxTest = result

        return self._rotBoxTest

# 需要导入模块: from SimpleCV import Image [as 别名]
# 或者: from SimpleCV.Image import rotate [as 别名]
from SimpleCV import Image
import time
img = Image('ladies.jpg')
# Rotate the image counter-clockwise 45 degrees
# Rotate the image around the coordinates +(16, 16)+
# Rotate the image, and then resize it so the content isn't cropped
rot = img.rotate(45,point=(16, 16),fixed=False)
rot.show()
time.sleep(10)

# 需要导入模块: from SimpleCV import Image [as 别名]
# 或者: from SimpleCV.Image import rotate [as 别名]
  kite_base = Image('http://www.winds-up.com/images/annonces/7915_1.jpg').resize(50, 50).invert()
  disp = Display()

  i_loop = 0
  #pid = PID.PID(1, 1, 0.1)
  offset = sp.pi/3*0
  kite_model = kiteModel()
  dX = 0*kite_model.X
  while disp.isNotDone():
    setpoint = sp.pi/1.7*sp.sin(2*sp.pi/7*time.time())+offset
    i_loop = i_loop +1
    order = 0+0*sp.randn(1)/5+2.0*disp.mouseX/background.width-1 
    #error = X[0] -setpoint
    #order = sp.randn(1)/100 +  pid.computeCorrection(error, dX[0]/dt-0)
    #pid.incrementTime(error, dt)
    dt = 0.1
    kite_model.update(order, dt)
    print kite_model.X
    kite = kite_base.rotate(sp.rad2deg(kite_model.X[0]), fixed=False).invert()
    #kite.save(disp)d
    #background.blit(kite, (799,0)).save(disp)

    toDisplay = background.blit(kite.invert(), (max(-kite.width +1, min(background.width-1, int(kite_model.X[1]+background.width/2-kite.width/2))), max(-kite.height+1, min(background.height-1, int(background.height-kite_model.X[2]-200)))), mask = kite.binarize())

    toDisplay.drawText(str(i_loop*dt), 0, 0, color = Color.RED, fontsize=60)
    toDisplay.save(disp)
    time.sleep(dt)
  

# 需要导入模块: from SimpleCV import Image [as 别名]
# 或者: from SimpleCV.Image import rotate [as 别名]
from SimpleCV import Image

img = Image('ex17.png')

# Rotate the image counter-clockwise 45 degrees
rot = img.rotate(45)
rot.show()

# 需要导入模块: from SimpleCV import Image [as 别名]
# 或者: from SimpleCV.Image import rotate [as 别名]
from SimpleCV import Image
import time
img = Image('ladies.jpg')
# Rotate the image 90 degrees and make it half the size
rot = img.rotate(90, scale=.5)
rot.show()
time.sleep(10)