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feat(autoware_tensorrt_bevdet): add new 3d object detection method #7956
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feat(tensorrt_bevdet): add new 3d object detection method
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feat(tensorrt_bevdet): add new 3d object detection method
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Merge branch 'feat/add_tensorrt_bevdet' of github.com:cyn-liu/autowar…
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feat(tensorrt_bevdet): add new 3d object detection method
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feat(tensorrt_bevdet): add new 3d object detection method
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feat(tensorrt_bevdet): add new 3d object detection method
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Merge branch 'main' into feat/add_tensorrt_bevdet
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feat(autoware_tensorrt_bevdet): add new 3d object detection method
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Merge branch 'main' into feat/add_tensorrt_bevdet
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feat(autoware_tensorrt_bevdet): add new 3d object detection method
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feat(autoware_tensorrt_bevdet): add new 3d object detection method
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feat(autoware_tensorrt_bevdet): add new 3d object detection method
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use an optimized image_transport
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Merge branch 'main' into feat/add_tensorrt_bevdet
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Merge branch 'main' into feat/add_tensorrt_bevdet
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Merge branch 'main' into feat/add_tensorrt_bevdet
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48 changes: 48 additions & 0 deletions
48
...eption_launch/launch/object_recognition/detection/detector/camera_bev_detector.launch.xml
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<?xml version="1.0"?> | ||
<launch> | ||
<!-- Camera parameters --> | ||
<arg name="input/camera0/image"/> | ||
<arg name="input/camera0/info"/> | ||
<arg name="input/camera1/image"/> | ||
<arg name="input/camera1/info"/> | ||
<arg name="input/camera2/image"/> | ||
<arg name="input/camera2/info"/> | ||
<arg name="input/camera3/image"/> | ||
<arg name="input/camera3/info"/> | ||
<arg name="input/camera4/image"/> | ||
<arg name="input/camera4/info"/> | ||
<arg name="input/camera5/image"/> | ||
<arg name="input/camera5/info"/> | ||
<arg name="input/camera6/image"/> | ||
<arg name="input/camera6/info"/> | ||
<arg name="input/camera7/image"/> | ||
<arg name="input/camera7/info"/> | ||
<arg name="number_of_cameras"/> | ||
|
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<!-- Model parameters --> | ||
<arg name="data_path" default="$(env HOME)/autoware_data" description="packages data and artifacts directory path"/> | ||
<arg name="bevdet_model_name" default="bevdet_one_lt_d"/> | ||
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<arg name="bevdet_model_path" default="$(var data_path)/tensorrt_bevdet"/> | ||
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<!-- BEVDet --> | ||
<group> | ||
<push-ros-namespace namespace="bevdet"/> | ||
<include file="$(find-pkg-share autoware_tensorrt_bevdet)/launch/tensorrt_bevdet.launch.xml"> | ||
<arg name="input/img_fl" value="$(var input/camera0/image)"/> | ||
<arg name="input/img_fl/camera_info" value="$(var input/camera0/info)"/> | ||
<arg name="input/img_f" value="$(var input/camera1/image)"/> | ||
<arg name="input/img_f/camera_info" value="$(var input/camera1/info)"/> | ||
<arg name="input/img_fr" value="$(var input/camera2/image)"/> | ||
<arg name="input/img_fr/camera_info" value="$(var input/camera2/info)"/> | ||
<arg name="input/img_bl" value="$(var input/camera3/image)"/> | ||
<arg name="input/img_bl/camera_info" value="$(var input/camera3/info)"/> | ||
<arg name="input/img_b" value="$(var input/camera4/image)"/> | ||
<arg name="input/img_b/camera_info" value="$(var input/camera4/info)"/> | ||
<arg name="input/img_br" value="$(var input/camera5/image)"/> | ||
<arg name="input/img_br/camera_info" value="$(var input/camera5/info)"/> | ||
<arg name="output/boxes" value="boxes"/> | ||
<arg name="data_path" value="$(var data_path)"/> | ||
<arg name="model_name" value="$(var bevdet_model_name)"/> | ||
<arg name="model_path" value="$(var bevdet_model_path)"/> | ||
</include> | ||
</group> | ||
</launch> |
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cmake_minimum_required(VERSION 3.17) | ||
project(autoware_tensorrt_bevdet) | ||
|
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add_compile_options(-W) | ||
add_compile_options(-std=c++17) | ||
set(CMAKE_CXX_FLAGS_RELEASE "-Wno-deprecated-declarations -O2") | ||
set(CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS} -std=c++17 -O0 -Xcompiler -fPIC -g -w -gencode=arch=compute_86,code=sm_86") | ||
find_package(tensorrt_common) | ||
if(NOT ${tensorrt_common_FOUND}) | ||
message(WARNING "The tensorrt_common package is not found. Please check its dependencies.") | ||
return() | ||
endif() | ||
|
||
find_package(ament_cmake REQUIRED) | ||
find_package(cudnn_cmake_module REQUIRED) | ||
find_package(tensorrt_cmake_module REQUIRED) | ||
find_package(rclcpp REQUIRED) | ||
find_package(yaml-cpp REQUIRED) | ||
find_package(Eigen3 REQUIRED) | ||
find_package(OpenCV REQUIRED) | ||
find_package(PCL REQUIRED) | ||
find_package(sensor_msgs REQUIRED) | ||
find_package(pcl_conversions REQUIRED) | ||
find_package(cv_bridge REQUIRED) | ||
find_package(tf2_geometry_msgs REQUIRED) | ||
find_package(autoware_perception_msgs REQUIRED) | ||
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find_package(CUDA REQUIRED) | ||
find_package(CUDAToolkit) | ||
find_package(CUDNN) | ||
find_package(TENSORRT) | ||
if(NOT (CUDAToolkit_FOUND AND CUDNN_FOUND AND TENSORRT_FOUND)) | ||
message(WARNING "cuda, cudnn, tensorrt libraries are not found") | ||
return() | ||
endif() | ||
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include_directories( | ||
include | ||
SYSTEM | ||
${YAML_CPP_INCLUDE_DIRS} | ||
${EIGEN3_INCLUDE_DIRS} | ||
${OpenCV_INCLUDE_DIRS} | ||
${PCL_INCLUDE_DIRS} | ||
${cv_bridge_INCLUDE_DIRS} | ||
${tf2_geometry_msgs_INCLUDE_DIRS} | ||
${autoware_perception_msgs_INCLUDE_DIRS} | ||
) | ||
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cuda_add_executable(${PROJECT_NAME}_node | ||
src/bevdet_node.cpp | ||
src/bevdet.cpp | ||
src/preprocess.cu | ||
src/iou3d_nms.cu | ||
src/postprocess.cu | ||
src/data.cpp | ||
src/cpu_jpegdecoder.cpp | ||
src/nvjpegdecoder.cpp | ||
|
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src/preprocess_plugin.cu | ||
src/bevpool_plugin.cu | ||
src/alignbev_plugin.cu | ||
src/gatherbev_plugin.cu | ||
) | ||
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# Link libraries to executable | ||
ament_target_dependencies(${PROJECT_NAME}_node | ||
"rclcpp" | ||
"sensor_msgs" | ||
"pcl_conversions" | ||
"cv_bridge" | ||
"autoware_perception_msgs" | ||
"tf2_geometry_msgs" | ||
) | ||
|
||
target_link_libraries(${PROJECT_NAME}_node | ||
yaml-cpp | ||
libnvinfer.so | ||
libnvonnxparser.so | ||
libz.so | ||
libjpeg.so | ||
rclcpp::rclcpp | ||
stdc++fs | ||
${NVINFER} | ||
${TENSORRT_LIBRARIES} | ||
${CUDA_LIBRARIES} | ||
${CUBLAS_LIBRARIES} | ||
${CUDNN_LIBRARY} | ||
${OpenCV_LIBS} | ||
${PCL_LIBRARIES} | ||
) | ||
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install(TARGETS ${PROJECT_NAME}_node | ||
DESTINATION lib/${PROJECT_NAME} | ||
) | ||
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install(DIRECTORY | ||
launch | ||
config | ||
DESTINATION share/${PROJECT_NAME}/ | ||
) | ||
|
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ament_package() |
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# tensorrt_bevdet <!-- cspell: ignore bevdet --> | ||
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## Purpose | ||
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tensorrt_bevdet is a dynamic 3D bev object detection package based on 6 surround view cameras. | ||
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## Inner-workings / Algorithms | ||
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BEVDet is a BEV perception algorithm based on panoramic cameras. It unifies multi-view images into the perspective of BEV for 3D object detection task. In this implementation, BEVDet network to inference with TensorRT. | ||
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## Inputs / Outputs | ||
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### Inputs | ||
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| Name | Type | Description | | ||
| ---------------------------------- | ------------------------------ | ----------------------------------- | | ||
| `~/input/topic_img_fl` | `sensor_msgs::msg::Image` | input front_left camera image | | ||
| `~/input/topic_img_f` | `sensor_msgs::msg::Image` | input front camera image | | ||
| `~/input/topic_img_fr` | `sensor_msgs::msg::Image` | input front_right camera image | | ||
| `~/input/topic_img_bl` | `sensor_msgs::msg::Image` | input back_left camera image | | ||
| `~/input/topic_img_b` | `sensor_msgs::msg::Image` | input back camera image | | ||
| `~/input/topic_img_br` | `sensor_msgs::msg::Image` | input back_right camera image | | ||
| `~/input/topic_img_fl/camera_info` | `sensor_msgs::msg::CameraInfo` | input front_left camera parameters | | ||
| `~/input/topic_img_f/camera_info` | `sensor_msgs::msg::CameraInfo` | input front camera parameters | | ||
| `~/input/topic_img_fr/camera_info` | `sensor_msgs::msg::CameraInfo` | input front_right camera parameters | | ||
| `~/input/topic_img_bl/camera_info` | `sensor_msgs::msg::CameraInfo` | input back_left camera parameters | | ||
| `~/input/topic_img_b/camera_info` | `sensor_msgs::msg::CameraInfo` | input back camera parameters | | ||
| `~/input/topic_img_br/camera_info` | `sensor_msgs::msg::CameraInfo` | input back_right camera parameters | | ||
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### Outputs | ||
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| Name | Type | Description | | ||
| ---------------- | ------------------------------------------------ | ---------------- | | ||
| `~/output/boxes` | `autoware_perception_msgs::msg::DetectedObjects` | detected objects | | ||
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## How to Use Tensorrt BEVDet Node | ||
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1. launch `tensorrt_bevdet_node` | ||
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```bash | ||
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ros2 launch autoware_tensorrt_bevdet tensorrt_bevdet_node.launch.xml | ||
``` | ||
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2. play ros2 bag of nuScenes data | ||
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Please refer to open source repository [ros2_dataset_bridge](https://github.com/Owen-Liuyuxuan/ros2_dataset_bridge) to publish the ROS 2 topics. | ||
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## Limitation | ||
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The model is trained on open-source dataset `NuScenes` and has poor generalization on its own dataset, If you want to use this model to infer your data, you need to retrain it. | ||
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## Trained Models | ||
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You can download the onnx format of trained models by clicking on the links below. | ||
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- BEVDet: [bevdet_one_lt_d.onnx](https://drive.google.com/file/d/1eMGJfdCVlDPBphBTjMcnIh3wdW7Q7WZB/view?usp=sharing) | ||
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The model was trained in NuScenes database for 20 epochs. | ||
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If you want to train model using the [TIER IV's internal database(~2600 key frames)](https://drive.google.com/file/d/1UaarK88HZu09sf7Ix-bEVl9zGNGFwTVL/view?usp=sharing), please refer to the following repositories:[BEVDet adapted to TIER IV dataset](https://github.com/cyn-liu/BEVDet/tree/train_export) | ||
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## References/External links | ||
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[1] <https://github.com/HuangJunJie2017/BEVDet/tree/dev2.1> | ||
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[2] <https://github.com/LCH1238/BEVDet/tree/export> | ||
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[3] <https://github.com/LCH1238/bevdet-tensorrt-cpp/tree/one> |
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perception/autoware_tensorrt_bevdet/config/bevdet.param.yaml
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/**: | ||
ros__parameters: | ||
# weight files | ||
onnx_path: "$(var model_path)/$(var model_name).onnx" | ||
engine_path: "$(var model_path)/$(var model_name).engine" | ||
data_params: | ||
N: 6 # camera num | ||
H: 900 # image height | ||
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|
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W: 1600 # image width | ||
cams: ["CAM_FRONT_LEFT", "CAM_FRONT", "CAM_FRONT_RIGHT", "CAM_BACK_LEFT", "CAM_BACK", "CAM_BACK_RIGHT"] | ||
post_process_params: | ||
# post-process params | ||
score_threshold: 0.2 | ||
class_names: ["car", "truck", "construction_vehicle", "bus", "trailer", "barrier", "motorcycle", "bicycle", "pedestrian", "traffic_cone"] |
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perception/autoware_tensorrt_bevdet/config/bevdet_r50_4dlongterm_depth.yaml
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bev_range: [-51.2, -51.2, -5.0, 51.2, 51.2, 3.0] | ||
mean: [123.675, 116.28, 103.53] | ||
std: [58.395, 57.12, 57.375] | ||
use_depth: true | ||
use_adj: true | ||
adj_num: 8 | ||
transform_size: 6 | ||
cam_params_size: 27 | ||
sampling: nearest # nearest # or bicubic | ||
data_config: | ||
Ncams: 6 | ||
cams: [CAM_FRONT_LEFT, CAM_FRONT, CAM_FRONT_RIGHT, CAM_BACK_LEFT, CAM_BACK, CAM_BACK_RIGHT] | ||
resize_radio: 0.44 | ||
crop: [140, 0] | ||
flip: true | ||
input_size: [256, 704] | ||
resize: [-0.06, 0.11] | ||
resize_test: 0.0 | ||
rot: [-5.4, 5.4] | ||
src_size: [900, 1600] | ||
grid_config: | ||
depth: [1.0, 60.0, 0.5] | ||
x: [-51.2, 51.2, 0.8] | ||
y: [-51.2, 51.2, 0.8] | ||
z: [-5, 3, 8] | ||
model: | ||
bevpool_channels: 80 | ||
coder: | ||
code_size: 9 | ||
max_num: 500 | ||
post_center_range: [-61.2, -61.2, -10.0, 61.2, 61.2, 10.0] | ||
score_threshold: 0.1 | ||
common_head: | ||
channels: [2, 1, 3, 2, 2] | ||
names: [reg, height, dim, rot, vel] | ||
down_sample: 16 | ||
tasks: | ||
- class_names: | ||
[ | ||
car, | ||
truck, | ||
construction_vehicle, | ||
bus, | ||
trailer, | ||
barrier, | ||
motorcycle, | ||
bicycle, | ||
pedestrian, | ||
traffic_cone, | ||
] | ||
num_class: 10 | ||
test_cfg: | ||
max_per_img: 500 | ||
max_pool_nms: false | ||
min_radius: [4, 12, 10, 1, 0.85, 0.175] | ||
nms_rescale_factor: | ||
- [1.0, 0.7, 0.7, 0.4, 0.55, 1.1, 1.0, 1.0, 1.5, 3.5] | ||
nms_thr: [0.2] | ||
nms_type: [rotate] | ||
post_center_limit_range: [-61.2, -61.2, -10.0, 61.2, 61.2, 10.0] | ||
post_max_size: 500 | ||
pre_max_size: 1000 | ||
score_threshold: 0.1 |
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@cyn-liu
Please use
autoware_package()
macro.cf. https://github.com/autowarefoundation/autoware_cmake/tree/main/autoware_cmake
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When I modify
to
in
CMakeLists.txt
, I get the following error: