anthonybsong / blossomnav

BlossomNav

Requirements

Software

• NodeJS and NPM Installed
• MiniConda Installed
• Python Installed

Hardware

• Raspberry Pi Zero 2
• Raspberry Pi Camera Rev 1.3

Installation and Configuration

Clone the repository and its submodules (ZoeDepth):

git clone --recurse-submodules https://github.com/interaction-lab/BlossomNav.git

Install the dependencies from conda:

conda env create -n blossomnav --file environment.yml
conda activate mononav

Tested On: (release / driver / GPU)
Ubuntu 22.04 / NVIDIA 535 / RTX 3060

Running the Code

Upload MP4:

If you want to use BlossomNav on a video (.mp4) on your local computer, you can run the following code.

cd utils
python split.py video_file_path image_dir 10
cd .. // go back to the parent directory

The video_file_path is the path to your video, and the image_dir is the directory in which you want the images to be saved.

Using the Raspberry Pi Zero 2:

If you have set up the Raspberry Pi Zero 2, you can also use our app to record videos in BlossomNav.

python app.py

Below is an image of the app's user interface. You can press Start to start recording and stop when you want to by pressing the stop button. After hitting stop, you will get the following pop-up screen. We recommend saving the mp4 into the data folder and following the steps from Upload MP4.

User Interface	Save Screen