Comments (9)
sovit-123
commented on June 9, 2024
Looks like dataset issue. The y_max should be larger than y_min obviously. But if you observe after normalization y_min = y_max = 0.5500. That's what is causing the error.
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MheadHero
commented on June 9, 2024
Looks like dataset issue. The y_max should be larger than y_min obviously. But if you observe after normalization y_min = y_max = 0.5500. That's what is causing the error.
Problem is I used the same dataset too in training, and training process went smooth but then when use validate.py it outputs error like this. So I think is not dataset issue. And if you google around this issue, there are similar issue in OTHER models saying that this is problem with albumentation. So if it was my dataset problem, it should be happened during training phase also, but it last till only validate.py only happens.
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MheadHero
commented on June 9, 2024
Please, can you help?
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sovit-123
commented on June 9, 2024
Is it a public dataset that I can try out?
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MheadHero
commented on June 9, 2024
I can share you the dataset, actually you mind add me on discord, so we can directly communicate things about object detection? (if you don't shy haha)
dataset link: !curl -L "https://app.roboflow.com/ds/LsjVvA8COo?key=UA3zJoXRny" > roboflow.zip; unzip roboflow.zip; rm roboflow.zip
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MheadHero
commented on June 9, 2024
This dataset is resized into 320x320, and auto-orientation is applied. Exported in VOC format too
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MheadHero
commented on June 9, 2024
If you don't mind, you can add my discord (MheadHero, #2029), so maybe we can make an international friend right. Beside that, I also can directly ask you questions regarding object detection.
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sovit-123
commented on June 9, 2024
Can you please check the friend request?
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MheadHero
commented on June 9, 2024
I have added you, and has hi to you, do you see it?
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Related Issues (20)
- model save error HOT 7
- Reshape error after onnx conversion HOT 12
- precision recall curve HOT 3
- How to update maxDets parameter?
- Custom Image Preprocessing HOT 36
- training on cpu stuck in first epoch HOT 1
- COCO detetction Dataset HOT 2
- Integrate PyGAD genetic algorithm HOT 3
- Cannot load the weights after training with custom data HOT 9
- Confusion matrix, Precision-recall curve, F1 curve; Precision, recall and confidence curve HOT 1
- file names not logged when using option --log-json HOT 3
- 'log.json' file contains incorrect bounding boxes HOT 2
- predections HOT 2
- dataset used for faster r cnn
- ValueError: 'baseball bat' is not in list HOT 1
- small objects detection HOT 2
- Onnx conversion problem HOT 1
- Background image for Faster RCNN HOT 7
- Deformable Convolutional Network HOT 1
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