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Project: Intelligent-Video-Analytics-with-NVIDIA-Jetson-and-Microsoft-Azure
(GitHub Link)
Intelligent-Video-Analytics-with-NVIDIA-Jetson-and-Microsoft-Azure-master
deployment-iotcentral
deployment.template.json
services
IOT_CENTRAL
NVIDIAJetsonDCM.json
YOLOV3
downloadYoloWeights.sh
labels.txt
TIME_SERIES_INSIGHTS
Types
ObjectDetectionType.json
Hierarchies
Locations.json
CUSTOM_VISION_AI
labels.txt
LICENSE
DEEPSTREAM
YoloParser
CustomYolo_DeepStream5.0_Jetpack4.4
README.MD
CustomVision_DeepStream5.0_JetPack4.4
Makefile
nvdsparsebbox_Yolo.cpp
README.MD
configs
config_infer_primary_CustomVisionAI.txt
DSConfig-YoloV3.txt
DSConfig-YoloV3Tiny.txt
msgconv_config.txt
DSConfig-CustomVisionAI.txt
config_infer_primary_yoloV3.txt
config_infer_primary_yoloV3_tiny.txt
AZURE_STREAMING_ANALYTICS
Edge
DeepStreamAnalytics.sql
SampleInput.json
Cloud
IoTHubToPowerBI.sql
LICENSE
README.MD
deployment-iothub
deployment.template.json
.gitignore
docs
Module 3 - Develop and deploy Custom Object Detection Models with IoT Edge DeepStream SDK Module.md
Module 5 - Visualizing Object Detection Data in Near Real-Time with PowerBI.md
Module 4 - Filtering Telemetry with Azure Stream Analytics at the Edge and Modeling with Azure Time Series Insights.md
Module 2 - Configure and Deploy Intelligent Video Analytics to IoT Edge Runtime on NVIDIA Jetson.md
Module 1 - Introduction to NVIDIA DeepStream.md
modules
IoTCentralBridge
src
utils
emptyObj.ts
index.ts
pjson.ts
bind.ts
defer.ts
forget.ts
sleep.ts
services
__tests__
module.ts
iotCentral.ts
config.ts
storage.ts
index.ts
state.ts
device.ts
logging.ts
health.ts
module.ts
apis
index.ts
health.ts
module.ts
index.ts
manifest.ts
arm64v8.Dockerfile
tslint.json
module.json
package.json
tsconfig.json
.gitignore
.vscode
settings.json
assets