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Alexey
2018-12-10 01:30:48 +03:00
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@ -411,9 +411,13 @@ Choose weights-file **with the highest mAP (mean average precision)** or IoU (in
For example, **bigger mAP** gives weights `yolo-obj_8000.weights` - then **use this weights for detection**.
Or just train with `-map` flag: `darknet.exe detector train data/obj.data yolo-obj.cfg darknet53.conv.74 -map` So you will see loss-chart with mAP-chart (mAP will be calculated for each 4 Epochs using `valid=valid.txt` file that is specified in `obj.data` file)
Or just train with `-map` flag:
![loss_chart_map_chart](https://hsto.org/webt/ip/fx/tn/ipfxtn_fpxwh_0zj8kvm2kdgpd4.jpeg)
`darknet.exe detector train data/obj.data yolo-obj.cfg darknet53.conv.74 -map`
So you will see loss-chart with mAP-chart (mAP will be calculated for each 4 Epochs using `valid=valid.txt` file that is specified in `obj.data` file)
![loss_chart_map_chart](https://hsto.org/webt/yd/vl/ag/ydvlagutof2zcnjodstgroen8ac.jpeg)
Example of custom object detection: `darknet.exe detector test data/obj.data yolo-obj.cfg yolo-obj_8000.weights`