Darknet-YOLO Compiled For Live Cam Stream Object Recognition
Posted: Wed 17 Apr 2019, 18:33
I have had difficulty in compiling Darknet-YOLO with Opencv support in both Puppy Linux Bionic32-v8 and Bionic64-v8. I used this version of darknet -> https://github.com/AlexeyAB/darknet
But Compiling Darknet-YOLO using BionicDog32 and BionicDog64 worked well and built Darknet with Opencv and boosted CPU performance flags enabled.
experimenting by copying the darknet binaries and YOLO weight files from BionicDog64 to a Puppy Linux Bionic64-v8 and with the devx and libopencv-dev installed, works well. Below is a screeshot of a live stream using a Microsoft webcam.
I am wondering if I should actually try to make a PET and / or an SFS ? Does anyone think something like this is worth a PET for Puppy Linux Bionic both 32 and 64 bit?
But Compiling Darknet-YOLO using BionicDog32 and BionicDog64 worked well and built Darknet with Opencv and boosted CPU performance flags enabled.
experimenting by copying the darknet binaries and YOLO weight files from BionicDog64 to a Puppy Linux Bionic64-v8 and with the devx and libopencv-dev installed, works well. Below is a screeshot of a live stream using a Microsoft webcam.
I am wondering if I should actually try to make a PET and / or an SFS ? Does anyone think something like this is worth a PET for Puppy Linux Bionic both 32 and 64 bit?