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I mean how do you draw the loss and average precision curves in one figure,I want to imitate it
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Hi ,
I have trained yolov3 to detect three custom objects with following number of images
> person (~1000 training images and ~ 150 validation images)
> forklift(~300 training images and ~ 100…
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作者好@QY1994-0919：
我基于你的代码快速在 YOLOv5 中试了下，在 MSCOCO val 数据集上性能为 38.6，没有加之前是 37.6，正好涨 1 个点。
我是基于 MMYOLO 进行实验，配置和代码见个人分支： https://github.com/hhaAndroid/mmyolo/tree/bifpn_demo (请忽略分支名，瞎写的)
具体做法是：
…
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I got different mAP@0.50 values by using darknet's "map" option and by using pycocotools:
I first use
```
./darknet detector map \
test_data/mydata.data \
run/yolov4-tiny-cus…
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Has someone managed to find the right way to calculate the F1 score for different tasks?
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calculation mAP (mean average precision)...
20300
detections_count = 653090, unique_trut…
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I have done 5800 iterations of YOLOv2 and I'm comparing some of them with map.
Is it normal for the firsts 100 iterations?
detections_count = 0, unique_truth_count = 343
class_id = 0, name = c…
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## Version of the custom_component
0.0.14
## Homeassistant version
2023.9.3
## Configuration
```yaml
- platform: nordpool
# Should the prices include vat? Default True
VA…
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# Reference
- [CNN-based Density Estimation and Crowd Counting: A Survey](https://arxiv.org/pdf/2003.12783.pdf)
# Brief
- mae
- mse
- rmse
- accuracy
## Different metrics
- Image-level…
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accuracy는 높게 나오는데 제출시 score는 매우 낮게 나옵니다.
score는 mAP(mean average precision)에 따라 나온다는 글을 봤는데
이해가 잘 되지 않습니다.
어떤 점을 중점적으로 살펴봐야하나요?