You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hello, I am using a custom 1000 images dataset like FLIR ADAS for car tracking. I have successfully converted all the data to fit the example datasets, and the model can train on it. The problem is that mAP is always 0 even after 300 epochs.
I am running on Nvidia Quadro RTX 5000, batch size is 8, my image size is 640x480, the cfg chosen are 864x480. What could be the problem here? I tried running on different cfg but still no improvement
These are training losses for epoch 12:
2023-02-28 14:32:24 [INFO]: 12/29 60/86 0.0313 0.00521 2.2 -10.9 61 0.54
The text was updated successfully, but these errors were encountered:
Hello, I am using a custom 1000 images dataset like FLIR ADAS for car tracking. I have successfully converted all the data to fit the example datasets, and the model can train on it. The problem is that mAP is always 0 even after 300 epochs.
I am running on Nvidia Quadro RTX 5000, batch size is 8, my image size is 640x480, the cfg chosen are 864x480. What could be the problem here? I tried running on different cfg but still no improvement
These are training losses for epoch 12:
2023-02-28 14:32:24 [INFO]: 12/29 60/86 0.0313 0.00521 2.2 -10.9 61 0.54
The text was updated successfully, but these errors were encountered: