Ejemplos de getImageNames en Python

Ejemplo n.º 1

Archivo: main.py Proyecto: ianmandarini/computational_photography

def runPanoramaCylinderFull(folder_name):

    file_names = imageio.getImageNames(folder_name)

    panorama, mask = projectOnCylinder(imageio.readImageFloat(file_names[0]))
    for file_name in file_names[1:]:
        new_image, new_mask = projectOnCylinder(
            imageio.readImageFloat(file_name))

        panorama = mergeImages(new_image, panorama,
                               transforms.computeTranslation, new_mask)

        print "Displaying the result so far:"
        figure, axis = plt.subplots(ncols=1)
        axis.imshow(panorama, vmin=0, vmax=1)
        plt.show()

    panorama_width = panorama.shape[1]

    image360 = mergeImages(panorama, panorama, transforms.computeTranslation,
                           new_mask)

    image360_width = image360.shape[1]

    image360 = image360[:, 0.25 * image360_width:0.25 * image360_width +
                        (panorama_width -
                         (2 * panorama_width - image360_width))]

    print "Displaying the final result."
    figure, axis = plt.subplots(ncols=1)
    axis.imshow(image360, vmin=0, vmax=1)
    plt.show()

Ejemplo n.º 2

def runAutoPanoramaCylinder(folder_name):
    transform_function = transforms.computeTranslation
    num_points_required_transform = 2

    file_names = imageio.getImageNames(folder_name)

    panorama, mask = manual.projectOnCylinder(
        imageio.readImageFloat(file_names[0]))

    for file_name in file_names[1:]:
        new_image, new_mask = manual.projectOnCylinder(
            imageio.readImageFloat(file_name))

        panorama = autoMerge(new_image, panorama, HARRIS_TRESHOLD_RELATIVE,
                             DESCRIPTOR_SHAPE_XY, NUM_POINTS_TO_FIND,
                             MIN_RADIUS_POINTS, RUSSIAN_GRANDMA_TRESHOLD,
                             NUM_STEPS_RANSAC, INLINERS_TRESHOLD_RANSAC,
                             transform_function, num_points_required_transform,
                             new_mask)

        print "Displaying the result so far:"
        figure, axis = plt.subplots(ncols=1)
        axis.imshow(panorama, vmin=0, vmax=1)
        plt.show()

    print "Displaying the final result."
    figure, axis = plt.subplots(ncols=1)
    axis.imshow(panorama, vmin=0, vmax=1)
    plt.show()

Ejemplo n.º 3

Archivo: main.py Proyecto: IanAlbuquerque/exploration_robot_ros

def runPanoramaCylinderFull(folder_name):

	file_names = imageio.getImageNames(folder_name)
	
	panorama,mask = projectOnCylinder(imageio.readImageFloat(file_names[0]))
	for file_name in file_names[1:]:
		new_image,new_mask = projectOnCylinder(imageio.readImageFloat(file_name))

		panorama = mergeImages(new_image,panorama,transforms.computeTranslation,new_mask)
		
		print "Displaying the result so far:"
		figure, axis = plt.subplots(ncols=1)
		axis.imshow(panorama, vmin=0, vmax=1)
		plt.show()

	panorama_width = panorama.shape[1]

	image360 = mergeImages(panorama,panorama,transforms.computeTranslation,new_mask)

	image360_width = image360.shape[1]

	image360 = image360[:,0.25*image360_width:0.25*image360_width+(panorama_width-(2*panorama_width-image360_width))]

	print "Displaying the final result."
	figure, axis = plt.subplots(ncols=1)
	axis.imshow(image360, vmin=0, vmax=1)
	plt.show()

Ejemplo n.º 4

Archivo: main.py Proyecto: IanAlbuquerque/exploration_robot_ros

def runPanoramaPlane(folder_name):

	file_names = imageio.getImageNames(folder_name)
	
	panorama = imageio.readImageFloat(file_names[0])
	for file_name in file_names[1:]:
		new_image = imageio.readImageFloat(file_name)
		panorama = mergeImages(new_image,panorama,transforms.computeHomography)

		print "Displaying the result so far:"
		figure, axis = plt.subplots(ncols=1)
		axis.imshow(panorama, vmin=0, vmax=1)
		plt.show()

	print "Displaying the final result."
	figure, axis = plt.subplots(ncols=1)
	axis.imshow(panorama, vmin=0, vmax=1)
	plt.show()

Ejemplo n.º 5

def runAutoPanoramaCylinderFull(folder_name):
    transform_function = transforms.computeTranslation
    num_points_required_transform = 2

    file_names = imageio.getImageNames(folder_name)

    panorama, mask = manual.projectOnCylinder(
        imageio.readImageFloat(file_names[0]))
    for file_name in file_names[1:]:
        new_image, new_mask = manual.projectOnCylinder(
            imageio.readImageFloat(file_name))

        panorama = autoMerge(new_image, panorama, HARRIS_TRESHOLD_RELATIVE,
                             DESCRIPTOR_SHAPE_XY, NUM_POINTS_TO_FIND,
                             MIN_RADIUS_POINTS, RUSSIAN_GRANDMA_TRESHOLD,
                             NUM_STEPS_RANSAC, INLINERS_TRESHOLD_RANSAC,
                             transform_function, num_points_required_transform,
                             new_mask)

        print "Displaying the result so far:"
        figure, axis = plt.subplots(ncols=1)
        axis.imshow(panorama, vmin=0, vmax=1)
        plt.show()

    panorama_width = panorama.shape[1]

    points_1, points_2 = pointselecter.getPoints(source, reference)
    image360 = autoMerge(panorama, panorama, HARRIS_TRESHOLD_RELATIVE,
                         DESCRIPTOR_SHAPE_XY, NUM_POINTS_TO_FIND,
                         MIN_RADIUS_POINTS, RUSSIAN_GRANDMA_TRESHOLD,
                         NUM_STEPS_RANSAC, INLINERS_TRESHOLD_RANSAC,
                         transform_function, num_points_required_transform,
                         new_mask)

    image360_width = image360.shape[1]

    image360 = image360[:, 0.25 * image360_width:0.25 * image360_width +
                        (panorama_width -
                         (2 * panorama_width - image360_width))]

    print "Displaying the final result."
    figure, axis = plt.subplots(ncols=1)
    axis.imshow(image360, vmin=0, vmax=1)
    plt.show()

Ejemplo n.º 6

Archivo: main.py Proyecto: ianmandarini/computational_photography

def runPanoramaPlane(folder_name):

    file_names = imageio.getImageNames(folder_name)

    panorama = imageio.readImageFloat(file_names[0])
    for file_name in file_names[1:]:
        new_image = imageio.readImageFloat(file_name)
        panorama = mergeImages(new_image, panorama,
                               transforms.computeHomography)

        print "Displaying the result so far:"
        figure, axis = plt.subplots(ncols=1)
        axis.imshow(panorama, vmin=0, vmax=1)
        plt.show()

    print "Displaying the final result."
    figure, axis = plt.subplots(ncols=1)
    axis.imshow(panorama, vmin=0, vmax=1)
    plt.show()

Ejemplo n.º 7

Archivo: main.py Proyecto: IanAlbuquerque/exploration_robot_ros

def runPanoramaCylinder(folder_name):

	file_names = imageio.getImageNames(folder_name)
	
	panorama,mask = projectOnCylinder(imageio.readImageFloat(file_names[0]))

	for file_name in file_names[1:]:
		new_image,new_mask = projectOnCylinder(imageio.readImageFloat(file_name))

		panorama = mergeImages(new_image,panorama,transforms.computeTranslation,new_mask)

		print "Displaying the result so far:"
		figure, axis = plt.subplots(ncols=1)
		axis.imshow(panorama, vmin=0, vmax=1)
		plt.show()

	print "Displaying the final result."
	figure, axis = plt.subplots(ncols=1)
	axis.imshow(panorama, vmin=0, vmax=1)
	plt.show()

Ejemplo n.º 8

Archivo: main.py Proyecto: ianmandarini/computational_photography

def runPanoramaCylinder(folder_name):

    file_names = imageio.getImageNames(folder_name)

    panorama, mask = projectOnCylinder(imageio.readImageFloat(file_names[0]))

    for file_name in file_names[1:]:
        new_image, new_mask = projectOnCylinder(
            imageio.readImageFloat(file_name))

        panorama = mergeImages(new_image, panorama,
                               transforms.computeTranslation, new_mask)

        print "Displaying the result so far:"
        figure, axis = plt.subplots(ncols=1)
        axis.imshow(panorama, vmin=0, vmax=1)
        plt.show()

    print "Displaying the final result."
    figure, axis = plt.subplots(ncols=1)
    axis.imshow(panorama, vmin=0, vmax=1)
    plt.show()