Comments (3)
AlexMa011
commented on August 16, 2024
1
Glad you get decent results. I did compare the results given the bounding box of the object on 500 validation images. The results are better than 2017 polygon-rnn, but worse than 2018 poygon-rnn++.
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AlexMa011
commented on August 16, 2024
How about the result on training set? Like, the accuracy? The training dataset of small cropped images contains about 48k images. In my experience, the training loss can be down to nearly zero.
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makman7
commented on August 16, 2024
Accuracy is 0.05 and loss 5.8 at step 5.44k.
I checked the performance on different epochs now it has decent results :) but still. Did you compared the repo stats with paper?
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Related Issues (13)
- Could you please share the datasets? HOT 4
- Visualizing the net-structure when training the net HOT 1
- Training is throwing error. HOT 4
- Images/performance metrics
- How does the `newdataset` handle the polygon-processing? HOT 3
- LICENSE HOT 2
- Which dataset in CitySpace are you refering to?
- Differences to Original Polygon RNN Paper HOT 2
- Cityscapes Results HOT 8
- Running Correction code HOT 3
- Training on cityscapes, acc always under 0.1 HOT 4
- Testing on CItyscapes, the channels are wrong HOT 6
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