Traffic Light Detection and Classification Using TensorFlow

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I developed a program to detect traffic lights and then classify their color (e.g. red, green, and yellow). The program first uses a pretrained neural network to detect traffic lights. Then it runs those detections through another neural network which is trained to identify the color.

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I am a beginner, after three days of hard work to finally train out the first model, thank you very much for your tutorial!
Due to the needs of my usage scenario, I need to recognize traffic lights at night. However, keras's accuracy in identifying traffic lights at night is not very high. I would like to ask if there is any way to identify traffic lights and specific colors at the same time through transfer learning, thank you!

yunlinhoshizora

Beep-tone on Green
We are working on duplicating what the Tesla does.
It recognizes the traffic light colors and issues a tone sound when the red light turns to green.

It requires the Tesla Full Self Driving version, (non beta).
We hope to use the Raspberry Pi and Tensorflow

BrooklineElectric

This is great. Does this detection process work in real time?

Shuji_Ono_Xin

Thank you! This is great content but the link you provided in the description is no longer working. "There has been a critical error on this website."

wbl

thanks for the code and video. Very good solution. I'm starting in my very first code lines, so please I am sorry for my noob question: While running the code, I faced some error while running the command: import object_detection. Where can the file: object_detection? Why is this error persists? Thanks in advanced

warleytoschi

thanks for your hard work, the code its work very well with image but it's stuck with videos more than 12 hours without any result, can you help pls!

abdullahelkuse

Why when i run the extract_traffic_light.py. It state that number of images:0, number of traffic lights identified:0 ?

RunningLate

can this be used as a tensorflow model to be imported in unity?

noursherief

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