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Apollo 11.0
自动驾驶开放平台
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After the previous projection in the preprocessing stage, a projection frame is obtained on the picture, but the obtained projection frame is not completely reliable, so a larger region of interest (Region of Interest ROI) to be calculated by the projected signal light position is used. to determine the exact bounding box of the semaphore. Signal light detection (detect) is a conventional convolutional neural network detection task, which receives images with ROI information as input data and sequentially outputs bounding boxes.
apollo::perception::onboard::TrafficLightDetectComponent
| Name | Type | Description | Input channal |
|---|---|---|---|
frame | apollo::perception::onboard::TrafficDetectMessage | trafficlight message | /perception/inner/Detection |
>Note: The input channel is structure type data. The default trigger channel is /perception/inner/Detection. The detailed input channel information is in modules/perception/traffic_light_detection/dag/traffic_light_detection.dag file. By default, the upstream components of the messages received by the component include traffic_light_region_proposal.
| Name | Type | Description | Output channal |
|---|---|---|---|
frame | apollo::perception::onboard::TrafficDetectMessage | trafficlight message | /perception/inner/Retection |
>Note: The output channel is structure type data. The message is defined in the modules/perception/common/onboard/inner_component_messages/traffic_inner_component_messages.h file. The output channel message data can be subscribed by components in the same process. The detailed output channel information is in modules/perception/traffic_light_detection/conf/traffic_light_detection_config.pb.txt file.
component configuration files: modules/perception/traffic_light_detection/conf/traffic_light_detection_yolox_config.pb.txt
| parameter type | parameter name | default value | meaning |
|---|---|---|---|
| string | PluginParam.name | TrafficLightTLDetectorYolox | detection algorithm name |
| string | PluginParam.config_path | perception/traffic_light_detection/data | configuration file path |
| string | PluginParam.config_file | detection_yolox.pb.txt | profile name |
| string | detection_output_channel_name | /perception/inner/Retection | detection result output channel |
| int32 | gpu_id | 0 | gpu id |
Yolox model configuration file location:modules/perception/traffic_light_detection/data/detection_yolox.pb.txt
| parameter type | parameter name | default value | meaning |
|---|---|---|---|
| string | name | tl_detection_yolox | model name |
| string | framework | Onnx -> TensorRT | model inference framework |
| string | ModelFile.proto_file | yolox.onnx | model network structure |
| string | ModelBlob.inputs | images [1,3,384,384] | model input data name and dimension |
| int32 | ModelBlob.outputs | bbox、conf、cls | model output data name and dimension |
| int32 | max_batch_size | 3 | Multi-batch inference input model detection dimension |
| int32 | min_crop_size | 400 | Crop box size |
| int32 | classify_resize_width | 384 | model input image resize width |
| int32 | classify_resize_height | 384 | model input image resize height |
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