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Hello, may I ask whether this problem has been solved? I have also encountered this problem.

For 3D detections 0,2,298.3125,165.1800,458.2292,293.4391,8.2981,1.9605,1.8137,4.7549,-4.5720,1.8435,13.5308,-2.1125,-1.7867 which respectively mean frame type(2 means car) 2D BBOXz(x1,y1,x2,y2) score 3D BBOX(h,w,l,x,y,z,rot_y) alpha. For 2D detections 0,296.021000,160.173000,452.297000,288.372000,0.529230 which respectively mean frame 2D BBOXz(x1,y1,x2,y2) score.

May you can read this article : https://stackoverflow.com/questions/25349178/calculating-percentage-of-bounding-box-overlap-for-image-detector-evaluation.

抱歉,由于对代码结构做了更新,忘记更新readme文件了,如果想可视化,可以参考 [visualization_2d.py](https://github.com/wangxiyang2022/DeepFusionMOT/blob/master/utils/visualization/visualization_2d.py)或者[visualization_3d.py](https://github.com/wangxiyang2022/DeepFusionMOT/blob/master/utils/visualization/visualization_3d.py)相关代码。

Thank you for the patient response. I currently have three questions about the [df.py](https://github.com/ziqipang/StreamingForecasting/blob/main/streaming_forecasting/streamer/models/df.py) function. Firstly, do **single_modal_A** and **dynamics_A** in lines 135 and 136 represent the state transition matrices?...

Thank you for your reply, it's very enlightening!

Hi, Thank you for your attention! Our algorithm can support the fusion of 360-degree views from both cameras and LiDAR. You can refer to the code for running the Waymo...