rope3d-dataset-tools
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liyingying0113
Can I access to this dataset? I emailed to [email protected] but there was no reply.
I found that in Rope3D dataset extrinsics means world2camera, but how to get lidar2camera projection matrix? thanks!
A more general rotation matrix calculated from ground plane equation. With the ground plane, rotation around the three axis all can be calibrated. For more details, you can also refer...
https://github.com/liyingying0113/rope3d-dataset-tools/blob/f772b2ca83601cb80d95894dcb1aa75e9a520737/show_tools/show_2d3d_box.py#L134 Denoting the ground-plane as ax + by + cz + d = 0, a rotation matrix can be derived from this ground plane. But the rotation matrix in this...
I'd like to expand the Rope3D datatset in the object detection task, while I wonder if the V2X-I is helpful.
we notice that there are two types of setting in your paper: homologous settings and heterogeneous setting. the homologous settings can be easily obtained by random selection from original train.txt...
Congratulations to your traffic view dataset! It is very interesting paper. You performed experiments with Monoflex. Monoflex uses the ratio 2D to 3D height to infer and learn the depth...
我根据网页上的说明，解析出目标的长宽高，发现和实际尺寸相差甚远，比如车的高度经常会出现0.74米， 比如在lable_2文件夹里面，对应第一张图的标签文件 148709_sj8fas2e152d20211124air_420_1637216131_1637218737_1_obstacle.txt 的第30,31,33,34,54行4个都是car类型目标，列写如下： car 0 0 1.918277592141479 84.678749 328.675018 229.40348 421.378418 1.172789 1.290466 4.472959 -16.0122917784 -3.17465244144 44.9629103591 1.57615911826 car 0 0 4.634861194868908 938.489319 696.641357 1144.066284 925.185058 0.743434 1.680233 4.329823...
