Powerful stuff and I can imagine some amazing possibilities, including helping the visually impaired (no fruit pun intended). I saw a live demo of this last night and it blew us away - for many of us it was a first. Looking forward to getting my hands dirty with this stuff. Many thanks and cheers from Sydney, Aust - Dave
Awesome stuff! Using CS on the edge can certainly safe a lot development time. One qestion i got about the routing used in the demo, specifically the route from the camera to the display. Testing a similar workflow on Iot edge, i found that -for my setup-, the data actually took a roundtrip via the cloud, which i saw after monitoring the traffic to the iothub. Is this the case here as well, or is is 100% local and isolated from the cloud? Thanks
Hi, I am trying this demo setup... I have the edgehub and edgeagent module running the other modules dont start by default... Am I missing something..? tried running the main.py in the cameracapture module..Its seems to throw an error as it cannot import Iothub_client module and says it fails.. has anyone tried deploying this...what am I missing here..?
You can have a look at this github repo which shows a sample using a Movidius Neural Compute Stick using IoT Edge: github.com/avranju/azure-iot-edge-ml-demo
Hi Emmanuel, Thanks for the great video ... i have a question regarding Jetson TX2 you mentioned in this video ... we are trying to install iot edge on jetson tx2 but not able to install iot edge setup since it has arm64 architecure. .. can you help us with the install or direct us where we can get a solution to install iot edge on Jetson TX2. ... i have following this in iot edge git and other forums but no luck .... may if have installed and used the same hardware it will help a lot ... thanks looking forward for your response.
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Powerful stuff and I can imagine some amazing possibilities, including helping the visually impaired (no fruit pun intended). I saw a live demo of this last night and it blew us away - for many of us it was a first. Looking forward to getting my hands dirty with this stuff. Many thanks and cheers from Sydney, Aust - Dave
This is Beautiful!
Awesome stuff!
Using CS on the edge can certainly safe a lot development time. One qestion i got about the routing used in the demo, specifically the route from the camera to the display. Testing a similar workflow on Iot edge, i found that -for my setup-, the data actually took a roundtrip via the cloud, which i saw after monitoring the traffic to the iothub. Is this the case here as well, or is is 100% local and isolated from the cloud? Thanks
Are there any examples or guidelines on how to use Azure IoT edge on NVidia Jetson devices?
Hi, I am trying this demo setup... I have the edgehub and edgeagent module running the other modules dont start by default... Am I missing something..? tried running the main.py in the cameracapture module..Its seems to throw an error as it cannot import Iothub_client module and says it fails..
has anyone tried deploying this...what am I missing here..?
Great capabilities, thanks Azure IoT team. Is it possible to add support for Movidius Neural Compute Stick ? Perhaps even running on Raspberry Pi ?
You can have a look at this github repo which shows a sample using a Movidius Neural Compute Stick using IoT Edge: github.com/avranju/azure-iot-edge-ml-demo
Hi Emmanuel, Thanks for the great video ... i have a question regarding Jetson TX2 you mentioned in this video ... we are trying to install iot edge on jetson tx2 but not able to install iot edge setup since it has arm64 architecure. .. can you help us with the install or direct us where we can get a solution to install iot edge on Jetson TX2. ... i have following this in iot edge git and other forums but no luck .... may if have installed and used the same hardware it will help a lot ... thanks looking forward for your response.