CSAILVision / CSAILVision/semantic-segmentation-pytorch
train my own data, the results is mussy
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- Dominant language
- Python
- Stars
- 5.1k
- Forks
- 1.1k
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Description
I used this project to train human segmentation data, change the num_class and .odgt file, but the results is mussy. Are there any other changes that need to be made
Contributor guide
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Research direction
Start by reproducing the human-segmentation training with the changed num_class and .odgt file, then compare the training configuration and dataset format with the project's expected inputs. The issue does not name a file, test, dataset sample, or expected output, so completion cannot be verified until those details and a concrete diagnosis are provided.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 18/100