![]() Here's a python script that uses this function to run batch image resizing.Cv::InterpolationFlags \). Introduction In this tutorial, we will explain how to scale and resize image in Python by using the OpenCV function cv2.resize (). Print('writing to disk'.format(out_f_path)) Img = img.resize((max_px_size, hsize), Image.ANTIALIAS) Hsize = int(float(height_0) * float(wpercent)) resizecover resize the image to fill the specified area, crop as needed (same behavior as background-size: cover ). Dependencies Pillow 2.7++ Python 2.7/3.4 Introduction The following functions are supported: resizecrop crop the image with a centered rectangle of the specified size. Out_f_path = os.path.join(output_folder, out_f_name) This package provides function for easily resizing images. Not the prettiest but gets the job done and is easy to understand: def resize(img_path, max_px_size, output_folder): Return img.resize(size_new, resample=Image.LANCZOS)Ī simple method for keeping constrained ratios and passing a max width / height. ![]() If img_ratio = video_ratio: # image is not tall enough However, converting to 'uint8' will automatically saturate the values to 0.255. the cv2.resize () function does not work with the default 'int64' type. Width, height = video_size # these are the MAX dimensions dimension (600, int(image.shape0 ratio)) resizedImage cv2.resize(image, dimension, interpolationcv2.INTERAREA) cv2.imshow('Resized Image - Width', resizedImage) cv2.waitKey(0) First, we will instruct OpenCV to go and find the image 'tonyshark.jpg', read it, and then store it in this variable 'image'. Edit: As berak pointed out, converting the type to float (from int64) allows for values outside the original range. ![]() In this entire tutorial, you will know how to scale and resize an image using the OpenCV cv2 resize () method with step by step. So after I couldn't find an obvious way to do that here (or at some other places), I wrote this function and put it here for the ones to come: from PIL import Imageĭef get_resized_img(img_path, video_size): Do you want to resize an image in python using cv2. The Image.thumbnail method was promising, but I could not make it upscale a smaller image. I was trying to resize some images for a slideshow video and because of that, I wanted not just one max dimension, but a max width and a max height (the size of the video frame).Īnd there was always the possibility of a portrait video. I hope it might be helpful to someone out there! I tried to document it as much as I can, so it is clear. I can't just round up the interpolated values to the closest. But Z is interpolated, it has many unique values, more than just 0, 2 and 3. I have an image F of size 10441408, it only has 3 integer values 0, 2, and 3. # Enter the name under which you would like to save the new imageĪnd, it is done. Shrink/resize an image without interpolation. # resample filter ->, (default),, etc. #new_width = round(new_height * asp_rat) # uncomment the second line (new_width) and comment the first one (new_height) # NOTE: if you want to adjust the width to the height, instead -> Img = img.resize((new_width, new_height), Image.ANTIALIAS) Img = Image.open(img_path) # puts our image to the buffer of the PIL.Image object You do not need the semicolons ( ), I keep them just to remind myself of syntax of languages I use more often. Note that the initial dst type or size are not taken into account. ![]() In this case, it will adjust the height to match the width of the new image, based on the initial aspect ratio, asp_rat, which is float (!).īut, to adjust the width to the height, instead, you just need to comment one line and uncomment the other in the else loop. The function resize resizes the image src down to or up to the specified size. I will also add a version of the resize that keeps the aspect ratio fixed.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |