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Over the past six months, I have been working with MMDetection, and I would like to seek advice from the community. I have observed that, despite using the same dataset and code, the results vary with each run. To address this, I have explicitly set randomness = dict(seed=0, deterministic=True) in my configuration. I have also experimented with multiple versions of MMDetection, including 3.0.0 and 2.28.2, but the issue persists: the results remain inconsistent across runs with identical datasets and code. Could anyone provide insights or suggestions to resolve this problem?
The text was updated successfully, but these errors were encountered:
Over the past six months, I have been working with MMDetection, and I would like to seek advice from the community. I have observed that, despite using the same dataset and code, the results vary with each run. To address this, I have explicitly set randomness = dict(seed=0, deterministic=True) in my configuration. I have also experimented with multiple versions of MMDetection, including 3.0.0 and 2.28.2, but the issue persists: the results remain inconsistent across runs with identical datasets and code. Could anyone provide insights or suggestions to resolve this problem?
The text was updated successfully, but these errors were encountered: