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loiccordone / object-detection-with-spiking-neural-networks

Repository code for the IJCNN 2022 paper "Object Detection with Spiking Neural Networks on Automotive Event Data"
MIT License
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Inferene file as an example #24

Open JNaranjo-Alcazar opened 1 year ago

JNaranjo-Alcazar commented 1 year ago

Firstly, congratulations on the work done. The repo is amazing. I wonder if there is any example to make an inference on a .dat file and plot the output (in video format for example) as it appears in the README of the repo.

Thank you very much in advance

JNaranjo-Alcazar commented 1 year ago

Hello, I am trying to perform an inference using the test code. I can notice that the detections are made using the line:

detections = list(map(filter_boxes, detections))

this variable contains a dict with the boxes, scores and labels. My question is about the boxes. The coordinates are x1,y1,x2,y2. Am I right? Best regards

108360215 commented 7 months ago

Hi, have you successfully implemented detection code for dat files (e.g., video)? If so, could you please explain how to do this? I would really appreciate it. This is my mail "j88239806@gmail.com".

sun133233 commented 5 months ago

Hi, have you implemented detection code? How do you make prediction boxes find their corresponding event frame?