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()
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()
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()
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()
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()
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()
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()
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()