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| 1 | +# Import OpenCV |
| 2 | +import cv2 |
| 3 | + |
| 4 | +# Call `cv2.imread()` to read an image from the MicroPython filesystem, just |
| 5 | +# like in any other Python environment! Make sure to copy the image to the |
| 6 | +# MicroPython filesystem first, and set the path to the image file as needed |
| 7 | +# |
| 8 | +# If your board can mount an SD card, you can instead load the image to the SD |
| 9 | +# card and change the path to point to the SD card |
| 10 | +# |
| 11 | +# Note - only BMP and PNG formats are currently supported in MicroPython OpenCV |
| 12 | +img = cv2.imread("test_images/sparkfun_logo.png") |
| 13 | + |
| 14 | +# Show the image for a moment |
| 15 | +cv2.imshow(display, img) |
| 16 | +key = cv2.waitKey(1000) |
| 17 | + |
| 18 | +# Let's modify the image! Here we use `cv2.Canny()` to perform edge detection |
| 19 | +# on the image, which is a common operation in computer vision |
| 20 | +edges = cv2.Canny(img, 100, 200) |
| 21 | + |
| 22 | +# Display the modified image |
| 23 | +cv2.imshow(display, edges) |
| 24 | + |
| 25 | +# Now we'll save the modified image to the MicroPyhton filesystem using |
| 26 | +# `cv2.imwrite()`, just like in any other Python environment! |
| 27 | +# |
| 28 | +# Again, SD cards are supported, just change the path to point to the SD card |
| 29 | +# |
| 30 | +# Note - only BMP and PNG formats are currently supported in MicroPython OpenCV |
| 31 | +success = cv2.imwrite("test_images/sparkfun_logo_edges.png", edges) |
| 32 | + |
| 33 | +# Check if the image was saved successfully |
| 34 | +if success: |
| 35 | + print("Image saved successfully!") |
| 36 | +else: |
| 37 | + print("Failed to save the image!") |
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