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(No description.)
These are the metrics defined:
driven_lanedir_consec_medianThis is the median distance traveled, along a lane. (That is, going in circles will not make this metric increase.)
This is discretized to tiles.
survival_time_medianThis is the median survival time. The simulation is terminated when the car goes outside of the road or it crashes with an obstacle.
No dependencies
At the beginning execute step eval0.
If step eval0 has result success, then execute step eval0-videos-autobots.
If step eval0 has result failed, then declare the submission FAILED.
If step eval0 has result error, then declare the submission ERROR.
If step eval0-videos-autobots has result success, then execute step eval0-videos-watchtowers.
If step eval0-videos-autobots has result failed, then execute step eval0-extractATs.
If step eval0-videos-autobots has result error, then execute step eval0-extractATs.
If step eval0-videos-watchtowers has result success, then execute step eval0-extractATs.
If step eval0-videos-watchtowers has result failed, then execute step eval0-extractATs.
If step eval0-videos-watchtowers has result error, then execute step eval0-extractATs.
If step eval0-extractATs has result success, then execute step eval0-WesQuackerson.
If step eval0-extractATs has result failed, then declare the submission FAILED.
If step eval0-extractATs has result error, then declare the submission ERROR.
If step eval0-WesQuackerson has result success, then declare the submission SUCCESS.
If step eval0-WesQuackerson has result failed, then declare the submission FAILED.
If step eval0-WesQuackerson has result error, then declare the submission ERROR.
hw-evaluationTimeout 18000.0
Evaluation in the robotarium.
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/amaurx/aido2-lf-real-testing-hw-evaluation-evaluator:2019_05_13_17_48_19@sha256:1168d196612a40db2eedce3f412838293600898ed3f6a96dccc2679c82acee56 environment: {} ports: - 8005:8005
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| # Duckiebots | 1 |
| AIDO 2 Map LF private | 1 |
eval0Timeout 18000.0
Evaluation in the robotarium.
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/gian1717/aido2-lf-real-testing-eval0-evaluator:2019_06_11_19_07_10@sha256:04dad2af97033eef32f70bfea1f9fad34663a5ad17f7e998c7984bb68012de88 environment: {} ports: - 8005:8005
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| # Duckiebots | 1 |
| AIDO 2 Map LF private | 1 |
eval0-videosTimeout 1800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido2-lf-real-testing-eval0-videos-evaluator:2019_05_15_16_22_04@sha256:440645bb2e89727086a010c45c71b3d069b60489343501e05eca8f5c9108ee3c environment: INPUT_DIR: /challenges/previous-steps/eval0/challenge-evaluation-output/raw_logs/bags OUTPUT_DIR: /challenges/challenge-evaluation-output OUTPUT_FRAMERATE: '12'
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| IPFS mountpoint /ipfs available | 1 |
eval0-videos-0Timeout 1800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/aleksandarpetrov/aido2-lf-real-testing-eval0-videos-0-evaluator:2019_05_16_07_22_45@sha256:90e7c45aff3c2936cca59c2eb16668e882cc06a377ce9315900496a8efaaeb61 environment: WORKER_I: '0' WORKER_N: '2' INPUT_DIR: /challenges/previous-steps/eval0/challenge-evaluation-output/raw_logs/bags OUTPUT_DIR: /challenges/challenge-evaluation-output OUTPUT_FRAMERATE: '12'
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| IPFS mountpoint /ipfs available | 1 |
eval0-videos-1Timeout 1800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/aleksandarpetrov/aido2-lf-real-testing-eval0-videos-1-evaluator:2019_05_16_07_33_00@sha256:90e7c45aff3c2936cca59c2eb16668e882cc06a377ce9315900496a8efaaeb61 environment: WORKER_I: '1' WORKER_N: '2' INPUT_DIR: /challenges/previous-steps/eval0/challenge-evaluation-output/raw_logs/bags OUTPUT_DIR: /challenges/challenge-evaluation-output OUTPUT_FRAMERATE: '12'
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| IPFS mountpoint /ipfs available | 1 |
eval0-extractATsTimeout 10800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/gian1717/aido2-lf-real-testing-eval0-extractats-evaluator:2019_05_20_11_23_06@sha256:419dbf15fc26c5a361678e984c0a9c852298fc27e6b6e2444633f561f60f006a environment: BAGS_PATH: /challenges/previous-steps/eval0/challenge-evaluation-output/raw_logs/bags ACQ_OUTPUT_BAG: /challenges/challenge-evaluation-output/processed.bag ACQ_TEST_STREAM: '0' ACQ_DEVICE_THREADS: '6' ACQ_OBSERVATIONS_STATISTICS_OUTPUT: /challenges/challenge-evaluation-output/statistics.yaml
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| IPFS mountpoint /ipfs available | 1 |
eval0-WesQuackersonTimeout 10800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/gian1717/aido2-lf-real-testing-eval0-wesquackerson-evaluator:2019_05_20_11_23_38@sha256:410e1c87425a36638404166049a50dada92d2a819e18f859858bd3eed0a59978 environment: ATMSGS_BAG: /challenges/previous-steps/eval0-extractATs/challenge-evaluation-output/processed.bag TITLE_CARD: '1' VIDEO_BAGS: /challenges/previous-steps/eval0/challenge-evaluation-output/raw_logs/bags OUTPUT_FILE: /challenges/challenge-evaluation-output/overheadVideo.mp4 POSES_TOPIC: /poses_acquisition/poses VIDEO_TOPIC: /camera_node/image/compressed MIN_SHOT_LENGTH: '12' OUTPUT_FRAMERATE: '12' PREVIOUS_RESULTS: /challenges/previous-steps/eval0/challenge-evaluation-output/challenge-results/challenge_results.yaml CAMERA_RESOLUTION_WIDTH: '972' CAMERA_RESOLUTION_HEIGHT: '1296'
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| IPFS mountpoint /ipfs available | 1 |
eval0-videos-autobotsTimeout 10800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/gian1717/aido2-lf-real-testing-eval0-videos-autobots-evaluator:2019_06_11_19_07_22@sha256:5876da21ebc74f8c77acec009b39b23c52b9f374eef76e182936e1ad8d05ae86 environment: WORKER_I: '0' WORKER_N: '1' INPUT_DIR: /challenges/previous-steps/eval0/challenge-evaluation-output/raw_logs/bags OUTPUT_DIR: /challenges/challenge-evaluation-output DEBUG_OVERLAY: '1' BAG_NAME_FILTER: autobot OUTPUT_FRAMERATE: '12'
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| IPFS mountpoint /ipfs available | 1 |
eval0-videos-watchtowersTimeout 10800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/gian1717/aido2-lf-real-testing-eval0-videos-watchtowers-evaluator:2019_06_11_19_07_37@sha256:5876da21ebc74f8c77acec009b39b23c52b9f374eef76e182936e1ad8d05ae86 environment: WORKER_I: '0' WORKER_N: '1' INPUT_DIR: /challenges/previous-steps/eval0/challenge-evaluation-output/raw_logs/bags OUTPUT_DIR: /challenges/challenge-evaluation-output DEBUG_OVERLAY: '0' BAG_NAME_FILTER: watchtower OUTPUT_FRAMERATE: '12'
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| IPFS mountpoint /ipfs available | 1 |