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khangii222 opened this issue Dec 31, 2024 · 0 comments
Open

Challenges in Visualizing Pascal Context Ground Truth #5419

khangii222 opened this issue Dec 31, 2024 · 0 comments

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@khangii222
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No version of the package torch could be found that satisfies the specified requirement (available versions: none).

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rewrite ( Issues in Pascal Context GT Visualization
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Problems with Pascal Context Ground Truth Visualization

2/2

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rewrite ( Issues in Pascal Context GT Visualization
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Challenges in Visualizing Pascal Context Ground Truth

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rewrite ( Bug Report: Issues with Pascal Context GT Visualization

Steps to Reproduce the Bug:

Run the command tools/visualize_data.
Observe that visualize.py in the utils folder uses an outdated numpy dtype, leading to overflow issues.
Code and Changes:
Refer to the details in the failed pull request: #5391.

Observation:

The visualization incorrectly displays the image. For instance:
The class ID should be train (359) but overflows and maps to fly (103) due to the calculation 359 - 256 = 103.
Expected Behavior:
Handle more than 256 classes correctly without overflow.
(Note: Pascal Context contains 459 classes, causing the overflow issue.)

Environment:

Python: 3.10
Numpy: 1.22.4
PyTorch: 1.13.1
Additional Notes:
Simplify the reproduction steps to avoid dependencies on private datasets. Ensure the d type supports the required range of class IDs.
ChatGPT said:
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Bug Report: Issues with Pascal Context Ground Truth (GT) Visualization

Steps to Reproduce:

Run the command tools/visualize_data.
Observe that visualize.py in the utils folder uses an outdated NumPy dtype, resulting in overflow issues.
Code and Changes:
Details can be found in the failed pull request: #5391.

Observation:
The visualization outputs incorrect results due to overflow. For example:

The class ID should be train (359), but it overflows and maps to fly (103) because of the calculation 359 - 256 = 103.
Expected Behavior:
The visualization should correctly handle more than 256 classes without overflow.
(Note: Pascal Context contains 459 classes, which exceeds the current handling capacity.)

Environment:

Python: 3.10
NumPy: 1.22.4
PyTorch: 1.13.1
Additional Notes:

Simplify reproduction steps to remove dependencies on private datasets.
Ensure the dtype supports the full range of class IDs to avoid similar issues in the future.

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