python - CV2 Image Error: error: (-215:Assertion failed) !ssize.empty() in function 'cv::resize'

Python - CV2 Image Error: error: (-215:Assertion failed) !ssize.empty() in function 'cv::resize'

The OpenCV error error: (-215:Assertion failed) !ssize.empty() in function 'cv::resize' typically occurs when you try to resize an image using the cv2.resize function, and the input image (ssize) is empty or has an invalid size.

Here are a few common reasons and solutions for this error:

  1. Check if the Image Loading Succeeded: Ensure that the image you are trying to resize is loaded successfully. If you are loading the image using cv2.imread or a similar function, make sure to check if the image file exists and is accessible.

    import cv2 image = cv2.imread('path/to/your/image.jpg') if image is None: print("Error: Unable to load the image.") else: # Perform image processing here resized_image = cv2.resize(image, (new_width, new_height))

  2. Verify Image Dimensions: Check the dimensions of the input image to ensure that it has a valid size. The width and height should be greater than zero.

    import cv2 image = cv2.imread('path/to/your/image.jpg') if image is not None and image.shape[0] > 0 and image.shape[1] > 0: # Perform image processing here resized_image = cv2.resize(image, (new_width, new_height)) else: print("Error: Invalid image dimensions.")

  3. Ensure Correct Resize Parameters: Double-check the parameters you are passing to the cv2.resize function. Ensure that the new width and height are valid values.

    resized_image = cv2.resize(image, (new_width, new_height))

    Make sure that new_width and new_height are integers greater than zero.

  4. Check for Other Operations: If you are performing other operations on the image before resizing, make sure they are not causing the image to become empty or invalid.

    import cv2 image = cv2.imread('path/to/your/image.jpg') if image is not None and image.shape[0] > 0 and image.shape[1] > 0: # Perform other image processing operations here gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # Now resize the image resized_image = cv2.resize(gray_image, (new_width, new_height)) else: print("Error: Invalid image dimensions.")

Examples

  1. "OpenCV resize error (-215) with Python"

    • Code:
      import cv2 img = cv2.imread("image.jpg") resized_img = cv2.resize(img, (width, height))
    • Description: Basic OpenCV code attempting to resize an image where the error may occur.

  2. "OpenCV resize assertion failed error Python"

    • Code:
      import cv2 img = cv2.imread("image.jpg") if img is not None and not img.size == 0: resized_img = cv2.resize(img, (width, height))
    • Description: Adding a check to ensure the image is not empty before attempting to resize, addressing the assertion failed error.

  3. "cv::resize error (-215) handling in Python"

    • Code:
      import cv2 img = cv2.imread("image.jpg") if img is None: print("Image not loaded.") else: resized_img = cv2.resize(img, (width, height))
    • Description: Checking if the image is loaded before performing the resize operation to handle the (-215) error.

  4. "Assertion failed error (-215) OpenCV resize troubleshooting"

    • Code:
      import cv2 img = cv2.imread("image.jpg") if img.size == 0: print("Empty image.") else: resized_img = cv2.resize(img, (width, height))
    • Description: Directly checking if the image size is zero to address the assertion failed error during resizing.

  5. "Python OpenCV resize assertion error -215 handling"

    • Code:
      import cv2 img = cv2.imread("image.jpg") try: resized_img = cv2.resize(img, (width, height)) except cv2.error as e: print(f"Error: {e}")
    • Description: Using a try-except block to catch and print the OpenCV error, providing more information about the assertion failure.

  6. "OpenCV resize function error (-215) with non-existent file"

    • Code:
      import cv2 img = cv2.imread("non_existent_image.jpg") if img is not None and not img.size == 0: resized_img = cv2.resize(img, (width, height)) else: print("Image not found or empty.")
    • Description: Handling the case where the image file does not exist or is empty before attempting to resize.

  7. "CV2 resize error (-215) with invalid image format"

    • Code:
      import cv2 img = cv2.imread("image.pdf") if img is not None and not img.size == 0: resized_img = cv2.resize(img, (width, height)) else: print("Invalid image format or empty.")
    • Description: Handling the case where the image file has an invalid format (e.g., PDF) before attempting to resize.

  8. "Python OpenCV resize assertion failed with webcam capture"

    • Code:
      import cv2 cap = cv2.VideoCapture(0) ret, img = cap.read() if ret and not img.size == 0: resized_img = cv2.resize(img, (width, height)) else: print("Error capturing image from webcam.")
    • Description: Checking if the webcam capture is successful and the image is not empty before resizing to avoid the assertion failed error.

  9. "OpenCV resize error (-215) with corrupted image"

    • Code:
      import cv2 img = cv2.imread("corrupted_image.jpg") try: resized_img = cv2.resize(img, (width, height)) except cv2.error as e: print(f"Error: {e}")
    • Description: Using a try-except block to catch errors when resizing a potentially corrupted image.

  10. "CV2 resize assertion error (-215) handling for multiple images"

    • Code:
      import cv2 import os image_folder = "path/to/images" for filename in os.listdir(image_folder): img_path = os.path.join(image_folder, filename) img = cv2.imread(img_path) if img is not None and not img.size == 0: resized_img = cv2.resize(img, (width, height)) else: print(f"Error processing image: {img_path}")
    • Description: Looping through multiple images in a folder and handling errors during the resize operation, providing information about problematic images.

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