Closed MheadHero closed 2 years ago
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.
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.
Please, can you help?
Is it a public dataset that I can try out?
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
This dataset is resized into 320x320, and auto-orientation is applied. Exported in VOC format too
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.
Can you please check the friend request?
I have added you, and has hi to you, do you see it?
Hi, I was using the same dataset which split into train/valid/test. When I use train.py, it has no problem at all, but when I execute validate.py it comes out this error. You have any ideas about it?