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Hi,
I used another dataset with spacing **[0.18, 0.18, 0.18]**, I changed the intensity_transform parameters, the config parameters(including anchors) and made my dataset_fold[i].json accordingly, I …
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I have trained my own dataset using coco format successfully, and I get a AP in coco format. And there are 4 classes.
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.647
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Can the model handle multiple images at the same time? How to modify the code if possible
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Hi,
In yout iou() function, you cannot calculate the interaction AREA by the following equation:
(Line16) intersection = x * y
In my opinion, we cannot calculate the overlap if we only know the w…
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hi, AlexeyAB
The training output is normal with yolov4 at first,Training for a period of time, the output is all 0
like that v3 (iou loss, Normalizer: (iou: 0.07, cls: 1.00) Region 139 Avg (IO…
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I'm trying to use SipMask-VIS on a custom dataset. Training seems to go fine, however when testing I get really poor results. I don't really understand why. I have trained SipMask-mmdetection with sim…
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I followed the Readme.md to test MSCOCO test2017.I execute the following orders:
python test.py CornerNet --testiter 500000 --split testing
The output is
Average Precision (AP) @[ IoU=0.50:0.95 …
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Hi, thanks for your work!
I train the SAM_HQ on my custom dataset,but the val_iou and the val_boundary_iou is very low .for example:
Averaged stats: val_iou_0: 0.0183 (0.2024) val_boundary_iou_0: …
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After every checkpoint, an evaluation on the test set is successfully completed and shows the following results. But how can we show only precision and recall (not AP and AR)?
Average Precision (…
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When tested in an identical environment on a nVidia T4 GPU:
1. **YOLOv7** (51.2% AP, 12.6ms) is **1.5x times faster and +6.3% AP more accurate** than **YOLOv5s6** (44.9% AP, 18.7ms)
2. **YOLOv7** …