cv2.findContours not enough value

The `cv2.findContours` function requires at least two arguments: the input image and the contour retrieval mode. If you are getting an error message saying "not enough value", it is likely because you are not providing enough arguments to the function.

Here is an example of how to use the `cv2.findContours` function:

import cv2

# Load an image
img = cv2.imread('image.png')

# Convert the image to grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# Threshold the image to create a binary image
thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY)[1]

# Find contours in the binary image
contours, hierarchy = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)

In this example, `thresh` is the binary image that we want to find contours in. The second argument to `cv2.findContours` is the contour retrieval mode, which specifies how the contours should be retrieved. In this case, we are using `cv2.RETR_TREE`, which retrieves all of the contours and reconstructs a full hierarchy of nested contours. The third argument is the contour approximation method, which specifies how the contours should be approximated. In this case, we are using `cv2.CHAIN_APPROX_SIMPLE`, which compresses horizontal, vertical, and diagonal segments and leaves only their end points.

If you are still having trouble with the `cv2.findContours` function, please provide more information and code so that I can better understand the issue.