I was studying your traffic detection app on the Ezblock for Pi-Car X and wondered how it works. I looked on the OS and found no image files it could match too. So how does it work? Larry
Combine traffic sign detection with line patrol functionality. Let PiCar-X track this straight line and when you place a stop sign in front of it, it stops. When you place a forward sign in front of it, it will continue to move forward.
How do I add different types of signs? How can a new variable know what the image looks like?
The traffic standard model is a tensorflow modality trained by image classification, the ezblcok program references the model here: https://github.com/ezblockcode/ezb-pi/blob/EzBlock3.1/workspace/vilib.py#L71, and for the lexicon https://github.com/ezblockcode/ezb-pi/blob/EzBlock3.1/workspace/vilib.py#L64C49-L64C49
If you want to train your own model, you can refer to the following tutorial on image categorization: Image Classification — SunFounder Pan-tilt HAT Kit documentation via Google’s Teachable Machine to train tf models online
In the meantime you can refer to the vilib library for image classification and traffic sign recognition programs: https://github.com/sunfounder/vilib/blob/dev/vilib/image_classification.py, the
https://github.com/sunfounder/vilib/blob/dev/vilib/traffic_sign_detection.py
I followed train your own model, you can refer to the following tutorial on image categorization: Image Classification — SunFounder Pan-tilt HAT Kit documentation via Google’s Teachable Machine to train tf models online.
It took the photo. I then created the I Install Samba and set the smbpasswd -a pi
I could not map the network drive. Please advise. Larry
Not quite sure what you mean, is it a case of not being able to log in to your Raspberry Pi, if it’s a remote login, make sure the Raspberry Pi is powered on and on the same LAN as your operating device.