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Lancer calibration

Sélectionner caméra : — choisir — ↓ Exporter JSON ↓ Exporter tout (ZIP)

C++ NVIDIA DeepStream

Pipeline DeepStream — 20 caméras GarageVault

Extrait config_infer_primary_yolov11seg.txt

[property]
gpu-id=0
net-scale-factor=0.0039215697   # 1/255
model-engine-file=model_b20_gpu0_fp16.engine
labelfile-path=labels_garagevault.txt
batch-size=20                   # une entrée par caméra
network-mode=2                   # FP16
num-detected-classes=8            # carrosserie, pneu, jante, etc.
interval=0
gie-unique-id=1
process-mode=1                   # primary
network-type=100                 # custom
cluster-mode=4                   # NMS_DBSCAN

custom-lib-path=libnvdsparseyoloseg.so
parse-bbox-func-name=NvDsYoloSegParser

[class-attrs-all]
threshold=0.4
nms-iou-threshold=0.5
topk=300

# Classes GarageVault
[class-attrs-0]  # carrosserie
threshold=0.45
[class-attrs-1]  # pneu
threshold=0.50
[class-attrs-2]  # jante
threshold=0.45
[class-attrs-3]  # vitre
threshold=0.40
[class-attrs-4]  # pare-choc
threshold=0.40
[class-attrs-5]  # porte
threshold=0.40
[class-attrs-6]  # capot
threshold=0.45
[class-attrs-7]  # coffre
threshold=0.40

Python Streamlit streamlit run

Intégration dans la chaîne GarageVault

${[ ['Détection USB', '✅','❌','❌','❌'], ['Capture 25 images', '✅','✅','❌','❌'], ['ChArUco corner detect','❌','✅','❌','❌'], ['Matrice K + distorsion','❌','✅','❌','❌'], ['Export .npz / .json', '✅','✅','❌','❌'], ['Undistort frame', '❌','❌','❌','✅'], ['NMS + bbox parsing', '❌','❌','✅','❌'], ['Mask segmentation', '❌','❌','✅','❌'], ['Lancement DeepStream', '✅','❌','❌','❌'], ].map(([r,...cols]) => ` ${cols.map(c => ``).join('')} `).join('')}

Composant	Streamlit UI	Script ChArUco	DS Parser C++	Pipeline YOLO
${r}	${c}

# .env
GV_NUM_CAMERAS=20
GV_CALIB_DIR=./calibration_params
GV_IMAGE_DIR=./calibration_images
GV_CONF_THRESHOLD=0.40
GV_NMS_THRESHOLD=0.50
GV_DEEPSTREAM_VERSION=7.1
GV_TRT_PRECISION=FP16
GV_BROKER_URL=mqtt://localhost:1883

CPU ONLY 4 cams Streamlit

Comparaison Version Légère vs Production

${[ ['Caméras simultanées', '4', '20'], ['Résolution capture', '1920×1080', '3840×2160 (4K)'], ['Taille inférence', '640×640', '640×640'], ['Backend inférence', 'OpenCV DNN CPU', 'TensorRT FP16 GPU'], ['Parser détections', 'Python (pur)', 'C++ NvDsYoloSegParser'], ['Pipeline stream', 'Streamlit', 'DeepStream 7.1+'], ['Images calibration', '20 / caméra', '25–30 / caméra'], ['Seuil reprojection', '< 1.8 px', '< 1.5 px (prod) / 0.5 px (optimal)'], ['Latence / frame', '200–400 ms', '< 33 ms (30fps)'], ['Broker MQTT', '❌', '✅ nvmsgbroker'], ['Holochain commit', '❌', '✅ pipeline aval'], ['Undistortion', 'cv2.undistort()', 'cv2.undistort() identique'], ['Export calibration', '.npz + .json', '.npz + .json — même format'], ['Portabilité', '✅ tout PC', '❌ NVIDIA Jetson / GPU requis'], ].map(([param, lite, prod]) => { const liteFail = lite === '❌'; const prodOk = prod === '✅' || prod.startsWith('✅'); return ``; }).join('')}

Paramètre	Test Léger (i5 CPU)	Production (GPU NVIDIA)
${param}	${lite}	${prod}

Compatibilité garantie : les fichiers .npz et status.json produits par la version légère sont identiques en format à ceux attendus par le pipeline DeepStream — migration transparente dès passage sur hardware NVIDIA.