PyImageSearch / imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
MIT License
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error: OpenCV(4.6.0) /work/ci_py311/opencv-suite_1676837327081/work/modules/core/src/arithm.cpp:647: error: (-209:Sizes of input arguments do not match) The operation is neither 'array op array' (where arrays have the same size and the same number of channels), nor 'array op scalar', nor 'scalar op array' in function 'arithm_op' #284

Open Thierryefrei opened 1 year ago

Thierryefrei commented 1 year ago

Hello, i'am currently blocked with this message error, can u help me guys plz, this is my code :

chemin_image = "/home/TNguyen2/Documents/FLAIR/img/927491-2000_6302587-2000_50.tif" chemin_msk = "/home/TNguyen2/Documents/FLAIR/msk/927491-2000_6302587-2000_50.tif" image = tiff.imread(chemin_image, 0) msk = tiff.imread(chemin_msk, 0)

Vérifier les tailles des images

if image.shape[:2] != msk.shape[:2]: raise ValueError("Les tailles des images ne correspondent pas.")

height, width = image.shape[:2]

crop_image = image[:height, :width] crop_msk = msk[:height, :width] msk_reduced = msk[:, :, :4] img_reduced = image[:, :, :4] image_gris = np.mean(image, axis=2).astype(np.uint8)

Convertir le masque en image binaire

masque_binaire = cv2.cvtColor(msk_reduced, cv2.COLORBGR2GRAY) , masque_binaire = cv2.threshold(masque_binaire, 127, 255, cv2.THRESH_BINARY)

Appliquer le masque à l'image en utilisant le masque binaire

superposition = cv2.bitwise_and(image_gris, image_gris, mask=masque_binaire)

resized_image = cv2.resize(crop_image, (crop_msk.shape[1], crop_msk.shape[0])) resized_msk = cv2.resize(crop_msk, (crop_image.shape[1], crop_image.shape[0])) superposition = cv2.addWeighted(resized_image, 0.3, crop_msk, 0.7, 0)

Afficher la superposition

cv2.imshow("Image", resized_image) cv2.imshow("Mask", crop_msk) cv2.waitKey(0) cv2.destroyAllWindows()

msavinash commented 5 months ago

Which "tiff" library are you using? Which image are you using? Please provide complete code and images to reproduce your issue.