3/9/2024 0 Comments Blue iris software download![]() I also notice that next to ObjectDetection (Coral) it shows CPU and not GPU(TPU).Download Blue Iris 5 - Professional surveillance software allows you to view and record up to 64 IP cameras, web cameras, cameras Blue Iris:īlue Iris is professional surveillance software that allows you to view and record up to 64 cameras (IP cameras, web cameras, DVR / CCTV based cameras) simultaneously and is compatible with the vast majority of IP camera brands. Any ideas?Ġ8:33:57:Started ObjectDetection (Coral) moduleĠ8:33:57:objectdetection_coral_adapter.py: Traceback (most recent call last):Ġ8:33:57:objectdetection_coral_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionCoral\objectdetection_coral_adapter.py", line 10, inĠ8:33:57:objectdetection_coral_adapter.py: from module_runner import ModuleRunnerĠ8:33:58:objectdetection_coral_adapter.py: File "././SDK/Python\module_runner.py", line 28, inĠ8:33:58:objectdetection_coral_adapter.py: import aiohttpĠ8:33:58:objectdetection_coral_adapter.py: ModuleNotFoundError: No module named 'aiohttp'Ġ8:33:58:Module ObjectDetectionCoral has shutdownĠ8:33:58:objectdetection_coral_adapter.py: has exited I folowed your steps but i dont think its working. Enjoy stable, reliable and power-efficient object-recognition benefits on BlueIris!Īs usual, if there's problem, restart. Config your BlueIris per instructions on this (and CP.AI) site.Ĩ. Add Object Detection(Coral)-module to CodeProject.AI modules and enable. Make sure Coral accelerator is shown in Windows Device managerĦ. ![]() Download and setup edgetpu_runtime_20221024.zip (remember to admin and allow unsigned publisher)ĥ. Download and setup Microsoft Visual C++ 2019 redistributableĤ. I do have quite advacnced skills on IT in general, but definitely I'm not expert on AI, CP.AI or Python and yet I got this working in minutes, so I would say this is not "advanced project" in traditional sense.ģ. Installation of P圜oral library and associated TensorFlow Lite might allow (?) using ObjectDetection(TF-Lite) on CP.AI, it's there as option in installable modules.Īfter installing Coral software and CP.AI with Object Detection(Coral), rest of the config is normal BlueIris AI-configuration, which is well described. I didn't do step 3 from Coral.ai instructions (P圜oral library installation). CP.AI defaults properly module to Edge TPU, user needs really only to choose model size, if other than tiny is desired. In CodeProject.AI Server control panel (the web page) in Install Modules tab it's required to install Object Detection (Coral)-module. ![]() Windows might show popup about untrusted software publisher at installation stage, just allow it (if you turst Google, that is).Įdgetpu-installer is simple old-school command-line bat-file, it asks only if you want to run Coral at half-speed or full-speed and that's it. Remember to run edgetpu-installer as administrator, just to make sure there will be no permission management problems. ![]() Installation was very straightforward and fast, just followed Getting started directions from Coral.ai: (chapter 2b) Īfter installing Microsoft Visual C++ 2019 redistributable and edgetpu_runtime_20221024.zip Coral appears in Windows Device manager as Coral accelerator devices / Coral PCIe accelerator and is ready to use for Codeproject.AI. Could you do a write up on how to install it and get it working too ? Software side only - if somebody doesn't know how to install an M2 card they should read up on that first It really allows ultra compact and power efficient computers to use AI.Įxcellent info. Using this setup with 3pcs 3MP, 1pc 4Mp and single 8k camera with direct disc recording and substream motion analysis BI uses CPU about 2% to 3% on average.Ĭoral was earlier difficult to obtain, but it can be nowadays bought around its recommended price (25USD / EUR) and I got my m.2 version in a week from a German retailer.Ĭoral m.2 seems very reasonable and well working solution for systems with m.2 slots. DeskMini has two M.2 slots, one PCIe Gen3 x4 for SSD and second Gen3 x2/4x for wifi, using wifi slot for Coral, other m.2 has my system disk and I have conventional 2.5" 7200rpm SATA HDD for videostorage. Of course one could use cheap CUDA-cards, but power consumption and computers physical size would grow a lot compared to DeskMini (it's Mini-STX after all). Not bad for very compact camera server and cheap TPU! Installed Coral m.2 board (single TPU A+E key) couple days ago into my AsRock Deskmini A300 (using Ryzen 3 3200G) and boy, Coral is a little miracle! I had a Coral USB for few months, but it was having certain issues (frequent CP.AI crashes), can't say if it was due to Coral USB-stick itself or CP.Ai, however m.2 Coral is rock solid on same configuration! Object recognition times vary slighlty, but average seems to be around 70ms to 75ms (model size small).
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