Welcome to the Computer Vision 2022 laboratories GitHub repository. Here you will find all the information and the material needed for the laboratories lectures that will come. The repository will be updated periodically with the material for the current lab. Please arrive at the lectures with the repository up-to-date on your machine, so that lectures can flow smoothly.
The laboratory exercises will all be written in Python (v3.6 or higher, with VisualStudioCode as IDE) and the following packages will be required:
- OpenCV with contrib
- Numpy (should be already installed as OpenCV dependency)
- Open3D for the PointCloud/Mesh section
In order to install a Python package, you need to use the pip package manager (pip3 if you are using the python3 command) with this command: pip install *package_name*. The names of the required packages are:
opencv-pythonopencv-contrib-pythonnumpyopen3d
If you feel confident you can install them on your own machine.
The required material for the laboratories is contained in the material folder on the root of this repository. Inside, you will find:
Video.mp4: test videoGoogle.jpg: test image00001640.ply: a PointCloud of the Panoptic datasetbunny: folder containing the Bunny mesh of the Standford 3D Scanning Repository
In addition, if you don't feel confident setting up the environment on your own, a virtual machine with all the requirements installed, tested and with this repository already cloned has been created. It can be downloaded at the following link:
Virtual Machine with Ubuntu 18.04 LTS (Bionic Beaver)
VM credentials:
- USER: mmlab
- PWD: mmlab
Inside the Virtual Machine there will also be a compiled and working version of OpenCV C++ if any of you is curious and want to try it out!
NOTE1: For those of you who are not familiar with GitHub, be careful when performing the
pullaction from the repository! Before doing it, move the code you wrote to another folder or you will lose its content. Thepullaction will overwrite everything there is inside it.
NOTE2: If you experience any kind of trouble running the VirtualMachine do the following steps:
- 1: https://lmgtfy.app/?q=how+to+run+a+virtual+machine
- 2: Google it again, maybe with a smarter choice of words.
- 3: Maybe you should check this link out! Or maybe this one!
- 4: Ask a colleague for help, teamwork always wins
- 5: Beg a colleague for help, he/she does not bite, at most you will be asked money
- 6: Google it one last time, it never hurts
- 7: Ask the teaching assistant for help, show that you tried and help will be provided
NOTE3 If you feel confident with coding/git/computer science in general you can avoid using the VM and setup the environment on your local machine, following the above explained steps. Please note that very little help will be provided by the teaching assistant in this case