Comments (6)
zzh8829
commented on May 20, 2024
can you share the command you executed for this
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lucasjinreal
commented on May 20, 2024
@zzh8829 I just using keras fit method to train
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Pari-singh
commented on May 20, 2024
Yeah, same. And I don't even know the reason why the loss values are so high and when do they exactly converge.
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zzh8829
commented on May 20, 2024
can you paste training data please I can't debug without data
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AnaRhisT94
commented on May 20, 2024
@zzh8829 I'm getting nans in my case. Having 2 classes, cars and plates. it works perfect on Darknet and when I transfer to TensorFlow it just detects cars.
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zzh8829
commented on May 20, 2024
take a look at this https://github.com/zzh8829/yolov3-tf2/blob/master/docs/training_voc.md
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Related Issues (20)
- pip install error HOT 1
- Converting a custom yolov3 model
- Increasing number of channels
- Train the model from random weights, 100 epochs DO NOT work HOT 2
- [Feature Request] Implementing YOLO v4 / v5 / .. ?
- Get negative value by calling model(dataset)
- anchors HOT 1
- model.fit() and eager_tf generates different training results HOT 2
- RTX 2080ti batch size 2..
- Invalid argument: Received a label value of 67 which is outside the valid range of [0, 1) HOT 1
- Error in colab notebook
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- yolov3 tiny - evaluation on pretrained weights gives lower accuracy than expected HOT 1
- No detection when using GPU, but CPU works
- "Windows fatal exception: access violation" when run export_tflite.py
- Yolo loss binary_crossentropy version
- How to create tfrecord for coco dataset. HOT 1
- Windows - ERROR: No matching distribution found for tensorflow-gpu==2.1.0rc1 HOT 1
- 识别率
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