search

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
67 stars 12 forks source link

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 9 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 7 months ago

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