Closed helios78971 closed 1 year ago
Have you solved it yet ?
yes hehe, it turn out to be my mistake, i try to test the project not from the demo.py but from track.py directly, and it gives me the error. i am really sorry if i disturb you by opening an issue and then suddenly close it, i still trying to understand the code your created and to directly use it without the streamlit, and can i ask you a question, how do you get the yolov5 model so good? how much dataset you use and do you custom the hyperparameter?
I don't think my model is good enough. I trained with yolov5n (the smallest size of YOLOv5), I have to trade-off between the fps and the accuracy.
Well, this is the link of my dataset: https://drive.google.com/drive/u/1/folders/1gtym6xZNZVa8rD9UZfhkoQgMUHAScJ4x
This dataset has about 1500 images, but it has few bus.
No, I don't custom any hyperparameter, here is my training code:
!python train.py --img 640 --batch 64 --epochs 20 --data custom_data.yaml --weights 'yolov5n.pt'
If you want to know better about my code, my project based on this video: https://www.youtube.com/watch?v=7gz3vUmy0C0&t=1692s&ab_channel=AI4LIFE
I see that you and I have watch the same youtube video hahahaha. I was wondering, I use 5000 images from OID but when I train it with YOLOv5m, it have a bad accuracy, below 50%. Do you know maybe why this happen?
I don't know what is OID ? Is that Open Images Dataset ? You can try to train with different datasets. Maybe the problem comes from your dataset: how many instances per class ? Is the dataset balanced ? If the images you train and test are different you may get bad accuracy on the test set. Or maybe you didn't train enough epochs ?
Yes, OID is Open Image Dataset, after I check the dataset your using, I think the problem is from my dataset, because the image in OID is not from the CCTV view, so it is hard to recognize the object I want to detect, I probably will use some of your dataset, if it's okay with you and try to combine with my dataset, so it has good accuracy
Sure, feel free to use my dataset. Good luck !!
Hello i was trying to use a model from custom object training with the same object but different class name and i get this error
TypeError: detect() missing 8 required positional arguments: 'stframe', 'car', 'bus', 'truck', 'motor', 'line', 'fps_rate', and 'class_id'
can you help me with this please?