mirror of https://github.com/AlexeyAB/darknet.git
31 lines
1.4 KiB
Markdown
31 lines
1.4 KiB
Markdown
---
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name: Training issue - no-detections / Nan avg-loss / low accuracy
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about: Training issue - no-detections / Nan avg-loss / low accuracy
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title: ''
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labels: Training issue
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assignees: ''
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---
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If you have an issue with training - no-detections / Nan avg-loss / low accuracy:
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* read FAQ: https://github.com/AlexeyAB/darknet/wiki/FAQ---frequently-asked-questions
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* what command do you use?
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* what dataset do you use?
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* what Loss and mAP did you get?
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* show chart.png with Loss and mAP
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* check your dataset - run training with flag `-show_imgs` i.e. `./darknet detector train ... -show_imgs` and look at the `aug_...jpg` images, do you see correct truth bounded boxes?
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* rename your cfg-file to txt-file and drag-n-drop (attach) to your message here
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* show content of generated files `bad.list` and `bad_label.list` if they exist
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* Read `How to train (to detect your custom objects)` and `How to improve object detection` in the Readme: https://github.com/AlexeyAB/darknet/blob/master/README.md
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* show such screenshot with info
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```
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./darknet detector test cfg/coco.data cfg/yolov4.cfg yolov4.weights data/dog.jpg
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CUDA-version: 10000 (10000), cuDNN: 7.4.2, CUDNN_HALF=1, GPU count: 1
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CUDNN_HALF=1
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OpenCV version: 4.2.0
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0 : compute_capability = 750, cudnn_half = 1, GPU: GeForce RTX 2070
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net.optimized_memory = 0
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mini_batch = 1, batch = 8, time_steps = 1, train = 0
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layer filters size/strd(dil) input output
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```
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