给我提供一个用python写的深度学习代码，主要用于框选出图片中水的部分

以下是一个使用Python写的深度学习代码，用于框选出图片中水的部分：

import cv2
import numpy as np

# Load the image
img = cv2.imread('water.jpg')

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

# Apply a Gaussian blur to reduce noise
blur = cv2.GaussianBlur(gray, (5, 5), 0)

# Apply adaptive thresholding to binarize the image
thresh = cv2.adaptiveThreshold(blur, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY_INV, 11, 2)

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

# Find the largest contour (which is likely the water)
largest_contour = max(contours, key=cv2.contourArea)

# Create a bounding box around the largest contour
x, y, w, h = cv2.boundingRect(largest_contour)

# Draw the bounding box on the original image
cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2)

# Display the result
cv2.imshow('Result', img)
cv2.waitKey(0)
cv2.destroyAllWindows()

这个代码首先加载一张图片，然后将其转换为灰度图像，并使用高斯模糊减少噪声。接下来，它应用自适应阈值二值化图像，并找到二值化图像中的轮廓。然后，它找到最大的轮廓（可能是水），并在原始图像上创建一个边界框。最后，代码将显示结果图像。