Comments (3)
With these modifications, the exercise time can be shortened from 20 minutes to 5 minutes and total exercise time for the episode shortened from 70 minutes to 55 minutes.
from image-processing.
We should also include in the solution for this exercise the following line of bash code for checking the image size (or tell learners to check the image size in the finder application included in the virtual machine).
ls -lh
from image-processing.
Solution requires skimage.transform, but it that library is not imported previously, so may be a bit leap for learners to get the air message and correct for it. I will add that to the imports earlier in the episode when I work on the solution. Waiting on resolution of #153.
from image-processing.
Related Issues (20)
- Should we retain the Edge Detection "bonus episode"? HOT 3
- "Loading" as a separate section HOT 1
- Ep3: Image not writeable HOT 6
- Ep3: Wrong file name `data/sudoku.jpg` HOT 5
- Ep3: iio.imread is unreliable HOT 8
- Convert sudoku.png image to pure RGB (without alpha channel) HOT 9
- Release new version of image dataset on FigShare HOT 2
- Use `uint8` or `float64` for grayscale images? HOT 1
- Using image as a variable name HOT 7
- Carpentries Workbench Transition HOT 22
- Showcase image processing at AUNZ community call HOT 7
- Links need to be fixed in CONTRIBUTING.md
- latest version of lesson using "import imageio.v3 as iio" causes error HOT 4
- 'code' folder should be re-established/replaced HOT 5
- Code snippet docstring formatting HOT 4
- Transition to new import convention for sckit-image? HOT 4
- Contributing guide should be customised further
- Ep 5 - Using a Mask for a Histogram exercise error in solution HOT 3
- Link to image publication & analysis checklists HOT 2
- Mask in episode 4 has no shadow HOT 1
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from image-processing.