AI code for Person_Detection Hello Micheal, I prepare a small project for you which is to detect human at real time. The main aim of the project is to detect face of a human at real time whenver the person is driving a car or a boat. We have used two model. To train and check the inference of a model, Here i am explaining how to test and run it by yourself.
Python Installation for UBUNTU: 1.Open the terminal through search box via Ctrl+Alt+T or searching for “Terminal” from app launcher. When it opens, run command to add the PPA: $sudo add-apt-repository ppa:jonathonf/python-3.6
- Then check updates and install Python 3.6 via commands:
$sudo apt-get update $sudo apt-get install python3.6
Now you have three Python versions, use python command for version 2.7, python3 for version 3.5, and/or python3.6 for version 3.6.1. 3. To make python3 use the new installed python 3.6 instead of the default 3.5 release, run following 2 commands
$sudo update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.5 1 $sudo update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.6 2
Finally switch between the two python versions for python3 via command:
$sudo update-alternatives --config python3
After selecting version 3.6:
$python3 -V
4.Use the following command to install pip for Python 3: $sudo apt install python3-pip
Install Important Libraries: Now, we have successfully installed python on our system, next thing we do is to install the pre-requisite libraries. The libraries required for testing are follows:
OpenCv: $pip3 install opencv-python
NumPy: $pip3 install numpy
Imageio: $pip3 install imageio
Pytorch: $pip3 install --no-cache-dir torch-scatter $pip3 install --no-cache-dir https://download.pytorch.org/whl/cpu/torch-1.1.0-cp36-cp36m-linux_x86_64.whl $pip3 install --no-cache-dir https://download.pytorch.org/whl/cpu/torchvision-0.3.0-cp36-cp36m-linux_x86_64.whl
Running the demo: Now, we have successfully installed python, pip, required libraries. Base has been setted up, now we are good to go to get the demo run, just unzip code_face or clone the repo using; $git clone repo link Just go the directory, $cd code_face $python3 face_and_eyes.py
Here’s the result: https://github.com/TDBTECHNO/AI_FACE/blob/master/Screenshot%20from%202019-07-15%2011-39-40.png
