4/12/2023 0 Comments Cv2 resize image![]() ![]() Which is inconsistent with what is in the docs ĭoes anyone know what’s up? How do I correctly use cv2.resize v4.2.04 step # What Size do You Want to Convert the Image to? size = (200,200) sh, sw = size print(sh, sw) 200 200Ġ5 step # Choose an OpenCV Interpolation Method # interpolation method if h > sh or w > sw: # shrinking image interp = cv2.INTER_AREA else: # stretching image interp = cv2.INTER_CUBICĠ6 step # Calculate the Pads in case the Images are Horizontal or Vertical # aspect ratio of image aspect = w /h print(f"The original aspect ratio is ") print("With this math we proportionally convert the image to 200 x 200") The original aspect ratio is 1.33 h=150, new_w=200 The new aspect ratio is still 1.33 With this math we proportionally convert the image to 200 x 200Ġ7 step # Mount the Image with Pads, if necessary scaled_img = cv2.resize(img, (new_w, new_h), interpolation =interp) scaled_img = cv2.copyMakeBorder(scaled_img, pad_top, pad_bot, pad_left, pad_right, borderType =cv2.BORDER_CONSTANT, value =127) i = plt.imshow(scaled_img, cmap ='gray') scaled_img.shape (200, 200, 3)Ġ8 step #Run It All Together & Check it out import cv2 import numpy as np def resizeAndPad(img, size, padColor =0): h, w = img.shape sh, sw = size # interpolation method if h > sh or w > sw: # shrinking image interp = cv2.INTER_AREA else: # stretching image interp = cv2.INTER_CUBIC # aspect ratio of image aspect = w /h # compute scaling and pad sizing if aspect > 1: # horizontal image new_w = sw new_h = np.round(new_w /aspect).astype(int) pad_vert = (sh -new_h) /2 pad_top, pad_bot = np.floor(pad_vert).astype(int), np.ceil(pad_vert).astype(int) pad_left, pad_right = 0, 0 elif aspect < 1: # vertical image new_h = sh new_w = np.round(new_h *aspect).astype(int) pad_horz = (sw -new_w) /2 pad_left, pad_right = np.floor(pad_horz).astype(int), np.ceil(pad_horz).astype(int) pad_top, pad_bot = 0, 0 else: # square image new_h, new_w = sh, sw pad_left, pad_right, pad_top, pad_bot = 0, 0, 0, 0 # set pad color if len(img.shape) = 3 and not isinstance(padColor, (list, tuple, np.ndarray)): # color image but only one color provided padColor = *3 # scale and pad scaled_img = cv2.resize(img, (new_w, new_h), interpolation =interp) scaled_img = cv2.copyMakeBorder(scaled_img, pad_top, pad_bot, pad_left, pad_right, borderType =cv2.BORDER_CONSTANT, value =padColor) return scaled_imgĬhecking it out: new_img = resizeAndPad(img, (200,200), 127) i = plt.imshow(new_img, cmap ='gray') new_img.shape # Saving the new image inside DATA folder filename = 'tv_laptop_resized.jpg' # Using cv2.imwrite() method # Saving the image cv2. interpolation interpolation method, see #InterpolationFlags. dsize output image size if it equals zero, it is computed as. src.size(), fx, and fy the type of dst is the same as of src. dst output image it has the size dsize (when it is non-zero) or the size computed from. enlarge an image, it will generally look best with c#INTER_CUBIC (slow) or #INTER_LINEAR. To shrink an image, it will generally look best with #INTER_AREA interpolation, whereas to. resize(src, dst, Size(), 0.5, 0.5, interpolation). specify fx and fy and let the function compute the destination image size. If you want to decimate the image by factor of 2 in each direction, you can call the function this. resize(src, dst, dst.size(), 0, 0, interpolation). explicitly specify dsize=dst.size() fx and fy will be computed from that. Network is the same, input data is the same, but the results is slightly different and the reason is that resize function behaves. I'm trying to reproduce the same output with these snippets: The problem is that I cannot get the same data to pass to the network (DNN module in case of OpenCV). If you want to resize src so that it fits the pre-created dst. cv2.resize is different from scikit-image resize. Instead, the size and type are derived from. initial dst type or size are not taken into account. The function resize resizes the image src down to or up to the specified size. Mouseover on resize in VSCode shows def resize(src, dsize, dst=None, fx=None, fy=None, interpolation=None) TypeError: function takes exactly 2 arguments (3 given) I have this error: img_array = cv2.resize(img_array, dsize=(299, 299, 3), interpolation=cv2.INTER_CUBIC) ![]()
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