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Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 42 |
1 files changed, 30 insertions, 12 deletions
@@ -49,20 +49,38 @@ Overall Setup # Steps to follow post-installation -## 1. Update mirrors -Original repo does not hit so I changed the mirror +## 1. Update & Upgrade Packages + ``` bash -sudo nano /etc/apt/sources.list +sudo apt update && sudo apt upgrade ``` -and replace "http://raspbian.raspberrypi.org/raspbian/" with any working mirror from [here](https://www.raspbian.org/RaspbianMirrors). -## 2. Update & Upgrade Packages +## 2. Update firmware +After ensuring that the operating system and packages are all up-to-date we can proceed with updating the firmware using- +``` bash +sudo rpi-update +``` +Followed by a reboot +``` bash +sudo reboot +``` +**Do note!** that updating the firmware carries some risks, and it's recommended to create a backup of your data before proceeding with the update (I recommend using sftp or rsync). +I am doing this for better performance, stability of the camera module. +## 3. Enabling Legacy Camera Support +Since I'm using the Raspberry Pi Camera Module v1.3 which a relatively older camera module, and it would require legacy camera support to work properly on newer Raspberry Pi model (in my case model 4B). +This can be done by the following steps +1. Open the terminal on Raspberry Pi. +2. Run the command ``` bash -sudo apt update && sudo apt upgrade +sudo raspi-config. ``` +3. Select "3. Interfacing Options". +4. Select "Legacy Camera". +5. Select "Yes" to enable Legacy Support. +6. Reboot the Raspberry Pi. -## 3. Enable VNC and LCD 16x2 Screeen +## 4. Enable VNC and LCD 16x2 Screeen ### Enable I2C Interface and VNC To enable the I2C interface on Raspberry Pi, you can use the following steps: @@ -87,10 +105,10 @@ Command for checking whether driver for **Bus 001 Device 003: ID 2357:010c TP-Li ```yaml lsmod | grep 8188eu ``` - +# Challenges faced ## Installing OpenCV on Raspberry Pi -We initially tried installing opencv package using pip on our device and it worked, however doing the same on Raspberry Pi didn't work out because there were no pre-built binaries and in order to compile the wheel it would take alot of time and then give errors. -We tried to resolve the errors and then waited alot more time for it to end compiling however we would face the same error regharding the wheel. -So we tried another approach reading a Raspberry Pi forum, to use the 64bit Raspberry Pi OS than using the 32-bit variant. -Which also eliminated the step of updating mirror. +We initially tried installing opencv package using pip on our Laptop(x86_64 cpu architecture) and it worked, however doing the same on Raspberry Pi didn't work out because there were no pre-built binaries(for ARM) and in order to compile the wheel it would take alot of time and after waiting for couple of hours we would be met with a build error. +We tried to resolve the errors and then waited more time for it to be done with compiling however we would face the same error regarding the wheel. +So after some research, reading a Raspberry Pi forum we found another approach, that is to use the 64-bit version of Raspberry Pi OS than using the 32-bit variant. +This also eliminated the step of updating mirror. |