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You said:
Generate pic of person for github profile in jpg , png file
ChatGPT said:
ChatGPT
A professional yet approachable person suitable for a GitHub profile picture. The individual is in their mid-20s to early 30s, with a warm smile, wearing casual business attire (such as a button-down shirt or blazer). The background is minimalistic and blurred, emphasizing the person's face. The image should have natural lighting and a soft focus effect to give a professional yet modern feel.
The image has been generated. Let me know if you need any further adjustments or assistance.
You said:
In JPG
ChatGPT said:
ChatGPT
The image has been converted to JPG format. You can download it here. Let me know if you need further assistance!
You said:
rewrite (Could not find a version that satisfies the requirement torch (from versions: none)
ChatGPT said:
ChatGPT
No version of the package torch could be found that satisfies the specified requirement (available versions: none).
You said:
rewrite ( Issues in Pascal Context GT Visualization
ChatGPT said:
ChatGPT
Problems with Pascal Context Ground Truth Visualization
2/2
You said:
rewrite ( Issues in Pascal Context GT Visualization
ChatGPT said:
ChatGPT
Challenges in Visualizing Pascal Context Ground Truth
You said:
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Observe that visualize.py in the utils folder uses an outdated numpy dtype, leading to overflow issues.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:
ChatGPT
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Observe that visualize.py in the utils folder uses an outdated NumPy dtype, resulting in overflow issues.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.)
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.
The text was updated successfully, but these errors were encountered:
ChatGPT
You said:
Generate pic of person for github profile in jpg , png file
ChatGPT said:
ChatGPT
A professional yet approachable person suitable for a GitHub profile picture. The individual is in their mid-20s to early 30s, with a warm smile, wearing casual business attire (such as a button-down shirt or blazer). The background is minimalistic and blurred, emphasizing the person's face. The image should have natural lighting and a soft focus effect to give a professional yet modern feel.
The image has been generated. Let me know if you need any further adjustments or assistance.
You said:
In JPG
ChatGPT said:
ChatGPT
The image has been converted to JPG format. You can download it here. Let me know if you need further assistance!
You said:
rewrite (Could not find a version that satisfies the requirement torch (from versions: none)
ChatGPT said:
ChatGPT
No version of the package torch could be found that satisfies the specified requirement (available versions: none).
You said:
rewrite ( Issues in Pascal Context GT Visualization
ChatGPT said:
ChatGPT
Problems with Pascal Context Ground Truth Visualization
2/2
You said:
rewrite ( Issues in Pascal Context GT Visualization
ChatGPT said:
ChatGPT
Challenges in Visualizing Pascal Context Ground Truth
You said:
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:
ChatGPT
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.
The text was updated successfully, but these errors were encountered: