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The task aims to develop a machine learning model capable of analysing road scenes to detect the presence of animals in the middle of the road, thereby mitigating the risk of road accidents. Through o…
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Hi there. Your sample code helped me alot and I was wondering if there's a way to detect the road plane and place GeoObjects on the road to provide better navigation. Are you planning on making such a…
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Dear authors,
I would like to ask some questions about OSDaR23 dataset division. Our goal is to train the object detection algorithm based solely on LIDAR.
After extracting the data, 1524 trai…
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4-Kern Prozessor (intel i-5 irgendwas)
### Gemessene Zykluszeiten (modul):
//Kerne
//0 5611 ± 864 [174; 8251]
//2 4621 ± 908 [186; 8584]
//4 4205 ± 700 [184; 10062]
//8 41…
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Hello, respected scholar. Saw a torch reproduction of the article on VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition. I would like to ask if there is a torch…
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Hello, I've read your paper and it's really an excellent work!
I am currently attempting to use your tool to find vulnerabilities in my devices. I first followed the instructions in the README fil…
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### Checklist
- [X] I've read the [contribution guidelines](https://github.com/autowarefoundation/autoware/blob/main/CONTRIBUTING.md).
- [X] I've searched other issues and no duplicate issues were fo…
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The objective of this project is to create a comprehensive system that combines adaptive traffic signal control with a red light violation detection system. The system will utilize computer vision te…
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Thanks for sharing the code.
But when I run test.py, an error occurs,
File "/Road_Damage_Detection/UP-CrackNet/test.py", line 60, in
for i, (input, target, label, input_name) in enumerate(t…