TEQU
TEQU is a service concept created in Lapland University of Applied Sciences. Our goal is to help local businesses innovate and grow.
Finland
Pinned Repositories
jetson-nodered-tensorflow
Install & configure Tensorflow (1.15.0) on Nvidia Jetson Nano/Xavier NX board to be used in Node-RED.
tequ-api-client
Subflows for Node-RED to process images and send to Tequ-API.
tequ-jetson-basler
Install and configure Basler pylon components for Computer Vision to NVIDIA Jetson boards.
tequ-jetson-setup
Basic steps to setup Jetson board
tequ-node-red-plotly-chart
Node-RED Dashboard 2.0 ui-template for Plotly.js chart.
tequ-node-red-plotly-create
Node that creates Plotly.js chart.
tequ-node-red-plotly-memory
Node to save and keep Plotly chart data in global memory.
tequ-node-red-plotly-trace
Node to create traces to be added into Plotly.js chart.
tequ-setup-triton-inference-server
Configure NVIDIA Triton Inference Server on different platforms. Deploy object detection model in Tensorflow SavedModel format to server. Send images to server for inference with Node-RED. Triton Inference Server HTTP API is used for inference.
tequ-tf1-ca-training-pipeline
Pipeline to train object detection model from dataset annotated with Cloud Annotations tool. Resulting model format is Tensorflow1 tfjs_graph_model.
TEQU's Repositories
Lapland-UAS-Tequ/tequ-jetson-basler
Install and configure Basler pylon components for Computer Vision to NVIDIA Jetson boards.
Lapland-UAS-Tequ/tequ-setup-triton-inference-server
Configure NVIDIA Triton Inference Server on different platforms. Deploy object detection model in Tensorflow SavedModel format to server. Send images to server for inference with Node-RED. Triton Inference Server HTTP API is used for inference.
Lapland-UAS-Tequ/tequ-jetson-setup
Basic steps to setup Jetson board
Lapland-UAS-Tequ/tequ-bee-nest-scale
This is repository of Bee Nest scale prototype device. Prototype is developed for Pycom Lopyv4 development board and each prototype can monitor weight of the single bee nest
Lapland-UAS-Tequ/tequ-node-red-data-filter
Filters data based on value change limit of target value. Timeout can be configured to set regular value updates.
Lapland-UAS-Tequ/tequ-node-red-entso-e
Node-RED node to query electricity spot prices from ENTSO-E Transparency Platform.
Lapland-UAS-Tequ/tequ-node-red-gstreamer
Node-RED node to launch and control GStreamer pipelines. Supports Basler pylonsrc and v4l2src.
Lapland-UAS-Tequ/tequ-node-red-object-detection-tf2-sm
Node-RED node to detect objects from image using Tensorflow 2 SavedModel.
Lapland-UAS-Tequ/tequ-node-red-plotly-chart
Node-RED Dashboard 2.0 ui-template for Plotly.js chart.
Lapland-UAS-Tequ/tequ-node-red-plotly-create
Node that creates Plotly.js chart.
Lapland-UAS-Tequ/tequ-node-red-plotly-memory
Node to save and keep Plotly chart data in global memory.
Lapland-UAS-Tequ/tequ-node-red-plotly-trace
Node to create traces to be added into Plotly.js chart.
Lapland-UAS-Tequ/tequ-node-red-resize-jpeg-tf
Node-RED node to resize JPG image. Uses tfjs-node-gpu for image manipulation.
Lapland-UAS-Tequ/tequ-node-red-timer
Node-RED timer node mainly for data acquisition purposes.
Lapland-UAS-Tequ/tequ-basler-gstreamer
Use Gstreamer to view video stream from Basler cameras.
Lapland-UAS-Tequ/tequ-bee-nest-scale-v2
Lapland-UAS-Tequ/tequ-iot-datalogger
Datalogger
Lapland-UAS-Tequ/tequ-iot-xbee-grove-wio-e5
XBee 3 based datalogger that uses Grove Wio-E5 module to send data to LoRaWAN network.
Lapland-UAS-Tequ/tequ-jetson-nodered-tensorflow
Install & configure Tensorflow 2 on NVIDIA Jetson board to be used in Node-RED.
Lapland-UAS-Tequ/tequ-node-red-annotate
Node-RED node to annotate object detection prediction results. Uses canvas and sharp for image manipulation.
Lapland-UAS-Tequ/tequ-node-red-mjpeg
Node-RED node to connect MJPEG stream.
Lapland-UAS-Tequ/tequ-node-red-parse-jpeg
Node-RED node to parse JPEGs from single buffer or stream. Uses sharp for image manipulation.
Lapland-UAS-Tequ/tequ-node-red-parse-jpeg-tf
Node-RED node to parse JPEGs from single buffer or stream. Uses tfjs-node-gpu for image manipulation.
Lapland-UAS-Tequ/tequ-node-red-plotly-add
Node to plot data to Plotly.js charts inside Node-RED Dashboard 2.0 ui-template.
Lapland-UAS-Tequ/tequ-node-red-triton-post-process
Node-RED node to post process NVIDIA Triton Inference Server result.
Lapland-UAS-Tequ/tequ-node-red-triton-pre-process-tf
Node-RED node to pre process image for NVIDIA Triton Inference Server.
Lapland-UAS-Tequ/tequ-node-red-triton-request
Node-RED node to send inference request to NVIDIA Triton Inference Server.
Lapland-UAS-Tequ/tequ-proto4-rpi-app
Node-RED application to read and process data from Movella Xsens acceleration&GNSS sensor unit.
Lapland-UAS-Tequ/tequ-rpi-setup
Raspberry PI 3/4 preparation for data acquisition and computer vision in Node-RED & Python.
Lapland-UAS-Tequ/tequ-solarctic-entso-e
Simple Node-RED flow to query future or historical electricity prices from ENTSO-E Transparency Platform.