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    Pushover snapshots from Frigate via nodered?

    Awesome!! You hero! Spent hours and hours trying to get that to work!! Snaphots coming in as expected.
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    Pushover snapshots from Frigate via nodered?

    Perfect I'll give this a go later thanks. Yes I had all the keys/mqtt set up etc- but had issues with the payload and buffer encoding part. I'll have have a look at your json and adjust. Many thanks
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    Pushover snapshots from Frigate via nodered?

    Can't for the life of me get frigate mqtt topic 'frigate/living/person/snapshot' in nodered to send the snapshot to my pushover api (without using homassistant) I've used telegram in nodered for ages and get snaphots but want to use the same method to send to my pushover. Same flow just sends...
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    8-9ms inference speeds with OpenVino on a cpu 7th gen!!

    caught my little cavapoo quite well just now plus a motorbike
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    8-9ms inference speeds with OpenVino on a cpu 7th gen!!

    Well after using coral tpu devices (usb and m2) with Frigate, I came across openvino model on Frigate. Decided to give it a try, very simple set up, just a few lines of code in the config. Fire it up on my dell 7th gen intel with no gpu or tpu. Well I'll be dipped! Faster than the coral usb...
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    Which intel cpu's best for codeproject?

    I was under the impression that some of the latest gen with quicksync were fast and efficient.
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    BlueIris and CPAI on Proxmox

    I've used proxmox to host windows and BI a lot in the past. Just gone back to a dedicated windows for performance really. Just found the windows on a VM was never that good. Even the stripped versions like x-lite and spectre. Dedicated windows just had an edge on it I would use BI on proxmox...
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    Some success with a coral tpu (m.2) with CPAI and BI

    Always tweaking the settings tbh - at the moment most exterior cams have this set in cpai. Had it set to 20 post triggers before - but this makes no difference on the gpu objects and % confidence vary a little in each cam. On a busy day it can go for a long time and rarely exit P8 state
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    Some success with a coral tpu (m.2) with CPAI and BI

    All of the time 6 of the exterior cameras. Sometimes the interior ones when I'm out. FPS all pretty low but high fps is not really needed for the analysis But 6 of them using the gpu - it flies through the images at less than 50ms 13:28:11:Response rec'd from Object Detection (YOLOv5 3.1)...
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    Some success with a coral tpu (m.2) with CPAI and BI

    Most of the time my gpu gtx970 is at idle in P8 state at about 24w the unraid plugin says. Maybe less than that I've read If it runs at 24w over 24 hours - calculated extra electricity cost 3 pesos here (day is split into 3 different costs depending on the hour!) 11 pesos per Kwh for 4 hours 5...
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    Non movemement feature

    Same here - Can't get it to send any alerts, mqtt for debugging. Set it to 3 seconds and low sensitivity also. Can't see any triggers using the rectangles while watching but does not alert me for non-detection
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    Which intel cpu's best for codeproject?

    I have only got amd cpu's and use a gpu. But I would like to know from users with intel processors which ones that can achieve inference speeds of 40-100ms with yolov5 medium size models. Thanks
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    Some success with a coral tpu (m.2) with CPAI and BI

    BlueIris license blocked trying to reapply an old config!! sent email to support. Anyways with my gtx970 I have found YOLOv5 3.1 to be most effective. Tried v8.0 and it did not pickup small animals possibly due to the lack of custom models? Only had general. 3.1 has ipcam-combined which in my...
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    Some success with a coral tpu (m.2) with CPAI and BI

    After several days of tweaking and some frustration I may give in and put my gpu back in. Can't fault the tpu speed and low power consumption but the models are just not working as I want them to. Fine if you just want to identify people in good light. My nvidia gpu was spot on 90% of the time.
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    Some success with a coral tpu (m.2) with CPAI and BI

    I'm trying out EfficientNet for a couple of days Difference between SSD MobileNet, EfficientNet and Faster R-CNN ResNet 50 | by Elven Kim | Medium
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    Some success with a coral tpu (m.2) with CPAI and BI

    Nice! They've made decent improvements as now it appears to work. Still buggy though - not sure what model it is using really as the dashboard always says mobilenet SSD. I switched to yolov5 but all inference speeds seems to be the same for mobilenet, yolov8 and yolov5. I'd like to know how...
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    How to train a custom YOLOv5 model using CodeProject.AI Training for YoloV5 6.2 module

    If I find another model .tflite file on git how do I program cpai to use that specific custom model? I'm at the bottom of the learning curve..
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    YOLO v8 issue with Coral TPU

    So coming soon then possibly?
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    How to train a custom YOLOv5 model using CodeProject.AI Training for YoloV5 6.2 module

    Can these models be used with your coral tpu or just Nvidia gpu/cpu?
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    Some success with a coral tpu (m.2) with CPAI and BI

    very true - sometimes a compromise - a small fluffy dog or cat may be recognised as a sheep or rabbit on the small model but not at all on the medium - large model. I'm trying to understand how to use some customized models from git but do not understand how to implement and use them yet like...
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    Some success with a coral tpu (m.2) with CPAI and BI

    Some interesting results testing the tiny, small, medium and large MobileNet SSD with the same picture. The small model found far more objects that all the other models even though some were wrong!
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    Some success with a coral tpu (m.2) with CPAI and BI

    One odd observation is using the dashboard. Even if I switch model and under the info it says yolov8 or Efficientdetlite for example - the dashboard only ever gives me the option to test with mobilenet ssd. What do you observe?
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    Some success with a coral tpu (m.2) with CPAI and BI

    Just tried the yolov8 large model which takes significantly longer and it does not detect this bird clearly shown in the snapshot. I would have expected it to pick this up.. maybe contrast issues? My gpu on yolov3.1 picked up anything and everything
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    Some success with a coral tpu (m.2) with CPAI and BI

    My My son is approaching 15 and starting to get invites to the quinceneras. 15yr old latin celebrations here. Formal parties until 5am!! So us poor parents during the whole year end up either staying up all hours waiting to collect them at 430am or go to bed early and set the alarm clock. Can...
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    Some success with a coral tpu (m.2) with CPAI and BI

    Thanks but I have limited fibre each month, need to conserve it for working remotely. If I start working on anything in the cloud then it consumes my monthly GB quota and I'm close to the edge each month as it is. I try to keep everything local
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    Some success with a coral tpu (m.2) with CPAI and BI

    Are you running cpai in a container? If so what is your config to build it with 2 devices? I'm suspecting the usb was just causing issues in my case with multi mode. May well work with 2 pcie/m2 devices better Thanks
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    Some success with a coral tpu (m.2) with CPAI and BI

    Me too. I've got a couple of spare lenovos -i5 mini pcs with a usb coral and A+E. My M2 coral is used in my unraid. All depends on family commitments though. Son had a sleepover last night and wifey was with her sister looking after their Dad so had all night alone to tinker> I have found the...
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    Some success with a coral tpu (m.2) with CPAI and BI

    Adding a 2nd tpu did not work for me - the m2 and usb for example. Added the 2 devices in the device settings of the container. /dev/apex_0 and /dev/usb Kept saying libraries are missing and failing on multi mode. Even though they both work independently on single mode.
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    Some success with a coral tpu (m.2) with CPAI and BI

    I've only had to re-install the coral module when adding a 2nd tpu device on the container side or change from multi- to single on occasions. Model size I can change without issues fortunately.
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    Some success with a coral tpu (m.2) with CPAI and BI

    hardly any difference in small and medium inference speeds tbh - but big leap from medium to large. Maybe if you want accuracy over speeds then large is the way to go. I will play around with them over the coming days. Large might be better at night time. You could use AITOOL to use 1 server...