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The reccuring pattern of Nonzero->transpose->gather/gatherND seems to be popping up in a few different networks.
his combination of operators is prefixed by some sort of boolean or shape operation in…
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Got this error when trying to run PartA2 on KITTI
The config and model files are:
config_file = '../configs/parta2/hv_PartA2_secfpn_2x8_cyclic_80e_kitti-3d-3class.py'
checkpoint_file = '../checkpoi…
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I has trained pointpillar model.and executed `python train.py evaluate ..`
and got this:
`middle_class_name PointPillarsScatter
Restoring parameters from model/voxelnet-306241.tckpt
remain number…
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### Checklist
- [X] I have searched related issues but cannot get the expected help.
- [X] 2. I have read the [FAQ documentation](https://github.com/open-mmlab/mmdeploy/blob/master/docs/en/faq.md)…
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why use the function (filter_db) to filter the difficulty and min_points ? Does it make bad influence to the performance?
def filter_db(self, db_infos):
# 1. filter_by_difficulty
…
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Thank you for your great source code..
When I run the example more than one time, I received very random results. Can you explain the reason and give me some ideas to fix this bug?
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Hey guys,
I use
cuda 11.4
cudnn 8.2.4
tensorrt 8.4.0.6
onnx 1.11.0
I downloaded the .pth file and tried to convert a new onnx file with tool/exporter.py.
Got the warnings below:
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Once I change the ratio of point cloud to pillar size, the inference results are completely inaccurate.
const int grid_x_size = (max_x_range - min_x_range) / pillar_x_size;
const int grid_y_size …
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PointPillars | Fast Depth | 496x432 | 33.591
-- | -- | -- | --
MACs=K × K × C i n × C o u t × H o u t × W o u t K × K × C_{in} ×C_{out} × H_{out} × W_{out}K×K×C
in
×C
out
×H
out
…