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For more details on the challenge, [click here](https://bpc.opencv.org/).
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@@ -20,7 +20,7 @@ This repository contains the ROS interfaces, sample submission code and evaluati
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-**ROS Interface:**
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The API for the challenge is a ROS service, [GetPoseEstimates](ibpc_interfaces/srv/GetPoseEstimates.srv), over `/get_pose_estimates`. Participants implement the service callback on a dedicated ROS node (commonly referred to as the PoseEstimatorNode) which processes the input data (images and metadata) and returns pose estimation results.
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In addition, we provide the [ibpc_py tool](https://github.com/Yadunund/bpc/tree/main/ibpc_py) which facilitates downloading the challenge data and performing various related tasks. Please refer to its README for further details.
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In addition, we provide the [ibpc_py tool](https://github.com/opencv/bpc/tree/main/ibpc_py) which facilitates downloading the challenge data and performing various related tasks. Please refer to its README for further details.
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## Design
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docker run --init --rm --net host eclipse/zenoh:1.1.1 --no-multicast-scouting
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docker run --init --rm --net host eclipse/zenoh:1.2.1 --no-multicast-scouting
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```
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### Run the pose estimator
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### Run the tester
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> Note: Substitute the <PATH_TO_DATASET> with the directory that contains the [ipd](https://huggingface.co/datasets/bop-benchmark/ipd/tree/main) dataset.
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> Note: Substitute the <PATH_TO_DATASET> with the directory that contains the [ipd](https://huggingface.co/datasets/bop-benchmark/ipd/tree/main) dataset. Similarly, substitute <PATH_TO_OUTPUT_DIR> with the directory that should contain the results from the pose estimator. By default, the results will be saved as a `submission.csv` file but this filename can be updated by setting the `OUTPUT_FILENAME` environment variable.
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```bash
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docker run --network=host -e BOP_PATH=/opt/ros/underlay/install/datasets -e SPLIT_TYPE=val -v<PATH_TO_DATASET>:/opt/ros/underlay/install/datasets -it ibpc:tester
We provide a simple baseline solution as a reference for implementing the solution in `ibpc_pose_estimator_py`. Please refer to the [baseline_solution](https://github.com/Yadunund/bpc/tree/baseline_solution) branch and follow the instructions there.
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We provide a simple baseline solution as a reference for implementing the solution in `ibpc_pose_estimator_py`. Please refer to the [baseline_solution](https://github.com/opencv/bpc/tree/baseline_solution) branch and follow the instructions there.
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