deepchem / deepchem/DeepLearningLifeSciences
Chapter 8 - data.py
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Description
Hi there,
I was trying to run the code but it does not run, in line 41 you are looking for
image_names = [p for p in os.listdir(images_path)if p.startswith('cut_') and p.endswith('.png')]
But there are no png images in the rep that I downloaded from Kaggle, all the images are in jpeg format.
and in the list you build in :
for im in image_names:
if im.endswith('.jpeg') and not im.startswith('cut_') and not 'cut_' + im in image_names:
raw_images.append(im)
Does not get used at all the raw_images ....
I am trying to understand why you are looking for 'cut_' there is no image that starts or ends with 'cuts_'
Can you please help me get a working version.
Thanks.
Oscar.
Contributor guide
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Research direction
Inspect Chapter 8's data.py around line 41 and compare its expected cut_ PNG filenames with the JPEG files in the downloaded Kaggle dataset. Trace where raw_images is built and whether it is used, then run the Chapter 8 code against the available images. Done means the example runs with the dataset described in the issue.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- data, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100