microsoft / microsoft/OmniParser
Issue: Redundant Imports for torch and PIL.Image in gradio_demo.py
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Description
Description:
In the current code, there are multiple imports of torch and PIL.Image. This redundancy can be eliminated by consolidating these imports into a single block to maintain cleaner code and improve readability.
Current Code:
from typing import Optional
import gradio as gr
import numpy as np
import torch
from PIL import Image
import io
import base64, os
from utils import check_ocr_box, get_yolo_model, get_caption_model_processor, get_som_labeled_img
import torch
from PIL import Image
Suggested Fix:
Consolidate the imports for torch and PIL.Image into a single block, as shown below:
from typing import Optional
import gradio as gr
import numpy as np
import io
import base64, os
from utils import check_ocr_box, get_yolo_model, get_caption_model_processor, get_som_labeled_img
import torch
from PIL import Image
Impact:
- Reduced redundancy in imports.
- Improved code clarity and maintainability.
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First steps
- Read the whole issue, then the project's contributing guide.
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- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Review gradio_demo.py and locate the repeated torch and PIL.Image imports shown in the issue. Consolidate each import into one import block, then inspect the file to confirm there are no duplicate imports and that the demo remains readable.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- tooling
- Issue type
- Refactor
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 55/100