Lidar_AI_Solution
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A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, Y...
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I have trained camera+lidar based on SwinT, I have got a pth. How can I generate PTQ model or FP16 model? I used the command "python qat/ptq.py --config=configs/nuscenes/det/transfusion/secfpn/camera+lidar/swint_v0p075/configs.yaml --ckpt=model/swint/epoch_30.pth --calibrate_batch...
I want to use CUDA-BEVFusion to process the nuScenes dataset. How do I convert the nuScenes dataset into the example-data format? In the example dataset, how can I view the...
Thanks for the great work. How to deploy the segmentation header in bevfusion to CUDA-BEVFusion.
Thanks for you repo! I'm tring to convert pth to onnx. But When I use "python qat/export-camera.py --ckpt=model/resnet50/bevfusion-det.pth --fp16". I get a error "model = torch.load(args.ckpt).module AttributeError: 'dict' object has...
[stdbuf-1] [NVINFER LOG]: 1: [runtime.cpp::parsePlan::314] Error Code 1: Serialization (Serialization assertion plan->header.magicTag == rt::kPLAN_MAGIC_TAG failed.) [stdbuf-1] Failed to deserialize engine: /workspace/test/shan.li/install/radar_img_fusion/share/radar_img_fusion/model/20240116/CPC_FCR02.a/resnet50/build/camera.backbone.plan [stdbuf-1] Failed to create camera backbone. [stdbuf-1] [2024-07-26 15:04:00.553]...
Great work! Is there a version of Voxelization for float type point cloud?
When I excute "python centerpoint-export/export-scn.py --ckpt=epoch_20.pth --save-onnx=scn.nuscenes.onnx", occured "AttributeError: module 'cumm.tensorview' has no attribute 'gemm'",how to slove it?Thanks.
Thanks for your work! I'm trying to quantize Int8 Centerpoint to accelerate my model on Orin. However the qat code provided only support fp16 quantize and trt model transfer. Could...