I use this checkpoint file to test on the nuscenes mini verification set
The evaluation indicators are as follows:
It seems that the car detection is much worse than the pedestrian detection. Is this a normal phenomenon and what may be the cause.
In the visualized figure, blue indicates that the confidence level in the prediction is greater than 0.2, and green indicates the ground truth. Please ignore the red Chinese mark in the figure~
I use this checkpoint file to test on the nuscenes mini verification set
The evaluation indicators are as follows:
![image](https://user-images.githubusercontent.com/79900945/207379702-de79a030-6793-4aa9-9e86-5c6798bd5179.png)
It seems that the car detection is much worse than the pedestrian detection. Is this a normal phenomenon and what may be the cause.
In the visualized figure, blue indicates that the confidence level in the prediction is greater than 0.2, and green indicates the ground truth. Please ignore the red Chinese mark in the figure~