Bagaimana untuk Membaca dan Menulis Nilai RGB Pixel dalam Python Tanpa Perpustakaan Luaran?

Reading and Writing RGB Values of Pixels in Python (Without External Libraries)

While obtaining pixel RGB values in Python typically involves utilizing external libraries such as OpenCV or scikit-image, it is possible to perform this operation directly using the Python Imaging Library (PIL) without additional downloads.

Retrieving RGB Values:

1. Open the image using PIL's Image.open() method:

   <code class="python">import PIL.Image as Image
   im = Image.open('image.jpg')</code>

2. Load the image's pixel data into a pixel access object:

   <code class="python">pix = im.load()</code>

3. Access individual pixel values using the pixel coordinates:

   <code class="python">print(pix[x, y])  # Outputs the RGB tuple of the pixel at (x, y)</code>

Setting RGB Values:

1. Obtain a blank canvas (new image) using PIL's Image.new() method:

   <code class="python">new_im = Image.new('RGB', (width, height))</code>

2. Load the new image's pixel access object:

   <code class="python">new_pix = new_im.load()</code>

3. Set specific pixel values:

   <code class="python">new_pix[x, y] = (R, G, B)  # Sets the RGB tuple for the pixel at (x, y)</code>

4. Save the modified image:

   <code class="python">new_im.save('output.jpg')</code>

Note:

While this method does not require external libraries, it may have limitations in terms of functionality and image format support compared to dedicated image processing libraries. If more advanced operations are required, it is advisable to explore external libraries.

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