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.github/workflows/predict-for-lidar-prod-optimization.yml
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# Workflow name | ||
name: "Prediction on lidar-prod optimization dataset" | ||
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on: | ||
# Run workflow on user request | ||
workflow_dispatch: | ||
inputs: | ||
user: | ||
description: | | ||
Username : | ||
Utilisé pour générer un chemin standard pour les sorties dans le | ||
dossier IA du store (projet-LHD/IA/MYRIA3D-SHARED-WORKSPACE/$USER/$SAMPLING_NAME/) | ||
required: true | ||
sampling_name: | ||
description: | | ||
Sampling name : | ||
Nom du dataset sur lequel le modèle a été entraîné. | ||
Utilisé pour générer un chemin standard pour les sorties dans le | ||
dossier IA du store (projet-LHD/IA/MYRIA3D-SHARED-WORKSPACE/$USER/$SAMPLING_NAME/) | ||
Eg. YYYYMMDD_MonBeauDataset | ||
required: true | ||
model_id: | ||
description: | | ||
Identifiant du modèle : | ||
Il correspond au nom du fichier checkpoint à utiliser pour les prédictions (sans l'extension .ckpt !) | ||
($MODEL_ID.ckpt doit exister dans projet-LHD/IA/MYRIA3D-SHARED-WORKSPACE/$USER/$SAMPLING_NAME/) | ||
Il est aussi utilisé pour générer le dossier de sortie | ||
(projet-LHD/IA/LIDAR-PROD-OPTIMIZATION/$SAMPLING_NAME/$MODEL_ID) | ||
Exemple : YYYMMDD_MonBeauSampling_epochXXX_Myria3Dx.y.z | ||
required: true | ||
predict_config_name: | ||
description: | | ||
Nom du fichier de config de myria3d (fichier .yaml) à utiliser pour la prédiction | ||
(doit exister dans projet-LHD/IA/MYRIA3D-SHARED-WORKSPACE/$USER/$SAMPLING_NAME/) | ||
Exemple: YYYMMDD_MonBeauSampling_epochXXX_Myria3Dx.y.z_predict_config_Vx.y.z.yaml | ||
required: true | ||
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||
jobs: | ||
predict-validation-dataset: | ||
runs-on: self-hosted | ||
env: | ||
OUTPUT_DIR: /var/data/LIDAR-PROD-OPTIMIZATION/${{ github.event.inputs.sampling_name }}/${{ github.event.inputs.model_id }}/ | ||
DATA: /var/data/LIDAR-PROD-OPTIMIZATION/20221018_lidar-prod-optimization-on-151-proto/Comparison/ | ||
CONFIG_DIR: /var/data/MYRIA3D-SHARED-WORKSPACE/${{ github.event.inputs.user }}/${{ github.event.inputs.sampling_name }}/ | ||
BATCH_SIZE: 25 | ||
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steps: | ||
- name: Log configuration | ||
run: | | ||
echo "Run prediction on lidar-prod optimization datasets (val and test)" | ||
echo "Sampling name: ${{ github.event.inputs.sampling_name }}" | ||
echo "User name: ${{ github.event.inputs.user }}" | ||
echo "Checkpoint name: ${{ github.event.inputs.model_id }}" | ||
echo "Prediction config name: ${{ github.event.inputs.predict_config_name }}" | ||
echo "Output_dir: ${{env.OUTPUT_DIR}}" | ||
echo "Data: ${{env.DATA}}" | ||
echo "Config files dir: ${{env.CONFIG_DIR}}" | ||
- name: Checkout branch | ||
uses: actions/checkout@v4 | ||
|
||
# get version number, to retrieve the docker image corresponding to the current version | ||
- name: Get version number | ||
run: | | ||
echo "VERSION=$(docker run myria3d python -m myria3d._version)" >> $GITHUB_ENV | ||
- name: pull docker image tagged with current version | ||
run: | | ||
docker login ${{ secrets.DOCKER_REGISTRY }} --username svc_lidarhd --password ${{ secrets.PASSWORD_SVC_LIDARHD }} | ||
docker pull ${{ secrets.DOCKER_REGISTRY }}/lidar_hd/myria3d:${{ env.VERSION }} | ||
- name: Run prediction on validation dataset | ||
run: > | ||
docker run --network host | ||
--shm-size='28g' | ||
-v ${{env.OUTPUT_DIR}}:/output_dir | ||
-v ${{env.DATA}}:/data | ||
-v ${{env.CONFIG_DIR}}:/config_dir | ||
${{ secrets.DOCKER_REGISTRY }}/lidar_hd/myria3d:${{ env.VERSION }} | ||
python run.py | ||
--config-path /config_dir | ||
--config-name ${{ github.event.inputs.predict_config_name }} | ||
task.task_name=predict | ||
predict.src_las=/data/val/*.laz | ||
predict.ckpt_path=/config_dir/${{ github.event.inputs.model_id }}.ckpt | ||
predict.output_dir=/output_dir/preds-valset/ | ||
predict.interpolator.probas_to_save=[building] | ||
predict.gpus=0 | ||
datamodule.batch_size=${{env.BATCH_SIZE}} | ||
datamodule.tile_width=1000 | ||
- name: Run prediction on test dataset | ||
run: > | ||
docker run --network host | ||
--shm-size='28g' | ||
-v ${{env.OUTPUT_DIR}}:/output_dir | ||
-v ${{env.DATA}}:/data | ||
-v ${{env.CONFIG_DIR}}:/config_dir | ||
${{ secrets.DOCKER_REGISTRY }}/lidar_hd/myria3d:${{ env.VERSION }} | ||
python run.py | ||
--config-path /config_dir | ||
--config-name ${{ github.event.inputs.predict_config_name }} | ||
task.task_name=predict | ||
predict.src_las=/data/test/*.laz | ||
predict.ckpt_path=/config_dir/${{ github.event.inputs.model_id }}.ckpt | ||
predict.output_dir=/output_dir/preds-testset/ | ||
predict.interpolator.probas_to_save=[building] | ||
predict.gpus=0 | ||
datamodule.batch_size=${{env.BATCH_SIZE}} | ||
datamodule.tile_width=1000 |
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