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Hi community, after training DETR I get the following metrics:
```
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.741
Average Precision (AP) @[ IoU=0.50 | area…
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In the metric code, the AP value seems to be calculated incorrectly.
https://github.com/valeoai/RADIal/blob/main/FFTRadNet/utils/metrics.py#L199
AP should be calculated as the area under the preci…
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I trained the model with my custom dataset, 2 classes(including background), the config file is retinanet_R-50-FPN_1X.yaml. And I got the test result like this:
INFO json_dataset_evaluator.py: 222: ~…
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Hi I tried to calculation mAP (mean average precision). when run the training with
`./darknet detector train /home/darknet/data/workers.data /home/darknet/cfg/yolo-obj.cfg darknet53.conv.74 -map `
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how can i get maP (mean average precision) for my trained dataset?
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### Bug description
Hello!
When I train and validate a model in a multi-GPU setting (HPC, sbatch job that requests multiple GPUs on a single node), I use `self.log(..., sync_dist=True)` when log…
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## Metrics
- IoU - `Intersection over Union`
- TP/FP/FN
- Precision
- Recall
- TPR - `True Positive Rate`
- FPR - `False Positive Rate`
- Accuracy
- AP - `Average Precision`
- mAP - `Mean A…
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Hi did anyone try to calculate the mean average precision for this code? Please let me know how thanks
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Most of the geometry attributes (gradients, cants, curves), positioning of the infrastructure objects (signals, balises, etc.) make sense only at microscopic level of the topology graph (LinearElement…
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Hi!
I'm interested in your work and I'm trying to reproduce the results on the data you released, but I'm having some problems.
1, The released sequence data contains `taxid`, and I used NCBI to …