![]() ![]() Img1 = cv2.imread(tmp, cv2.COLOR_BGR2GRAY) ![]() Input_path = "/Users/akshayacharya/Desktop/Panorama/Bazinga/Test images for final/Trial3/*.jpg" Output_img:rows1 + translation_dist, translation_dist:cols1 + translation_dist] = img1 Output_img = cv2.warpPerspective(img2, H_translation.dot(H), (x_max - x_min, y_max - y_min)) List_of_points = np.concatenate((list_of_points_1, list_of_points_2), axis=0) List_of_points_2 = cv2.perspectiveTransform(temp_points, H) # When we have established a homography we need to warp perspective # Create a blank image with the size of the first image + second image Can you check this code?ĭef draw_matches(img1, keypoints1, img2, keypoints2, matches): I have changed my approach but it is not able to stitch the entire image. When I pass all images at once, it is not able to stitch. # write the output stitched image to disk""" (status, stitches) = stitcher.stitch(final) ![]() (status, stitched) = stitcher.stitch(, images]) Stitcher = cv2.createStitcher() if imutils.is_cv3() else cv2.Stitcher_create() # initialize empty list and fill all images Output_path = "/Users/akshayacharya/Desktop/Panorama/Final Panorama/finalpanoex1.jpg" Input_path = "/Users/akshayacharya/Desktop/Panorama/Raw Data/riverside/*.jpg" #PANORAMA VIDEO FOR STITCH CODE#This code is in c++ right? How do I use it in python? Also, why does it warp repeatedly? How else would you suggest cumulatively piling the sitch without degrading the output on the left? import imutils ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |