• Install .Net Framework https://www.microsoft.com/en-US/download/details.aspx?id=56116
• Run K-Flash.exe on administrator.
• Select the firmware and serial port.
• Click to flash.

We recommand to upload the firmware on windows using HUSKYLENSUploader as it has a GUI. If you want to upload it on Mac and Linux please following these instruction:

• Install the USB Serial driver depending on your OS: https://www.silabs.com/products/development-tools/software/usb-to-uart-bridge-vcp-drivers

• Install pip3 if you do not have in your OS

Install pip3 on MAC

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)"
brew install python3

install pip3 on Linux

sudo apt install python3-pip

• Run the following code to install pyserial:

sudo pip3 install pyserial

• Go to the HUSKYLENSUploader folder

cd HUSKYLENSUploader

• Run the following code to update the firmware:

sudo python3 kflash.py -b 2000000 HUSKYLENSWithModelV0.4.7Stable.kfpkg

• Disconnect and reconnect the USB to reboot the HUSKYLENS to make it a refresh start up.

Models stores the deep learning architecture and weights like MobileNet or YOLO. It is really large and cost a lot of time to upload.

Since the models not always change, firmware without models are provided to speed up the upload process.

Because object classification requires a lot of ram, which is not enough for other algorithm.