SpikeCV is a new open-source computer vision platform for the spike camera. You can Learn more about SpikeCV here.
NeurIPS 2024 x 2 were accepted! Congratulations to Bin Fan and Kang Chen!
ACM MM 2024 x 2 were accepted! Congratulations to Bo Xiong and Jiyuan Zhang!
CVPR 2024 x 6 were accepted! Congratulations to Jiyuan Zhang, Changqing Su, Yanchen Dong, Rui Zhao, Yakun Chang, and Lin Zhu!
AAAI 2024 x 5 were accepted! Congratulations to Jiyuan Zhang, Junwei Zhao, Yanchen Dong, Rui Zhao, and Lin Zhu!
NeurIPS 2023 x 2 were accepted! Congratulations to Shiyan Chen, Jiyuan Zhang, and Lujie Xia!
ACM MM 2023 x 1 was accepted! Congratulations to Junwei Zhao!
TCSVT x 1 was accepted! Congratulations to Junwei Zhao!
TPAMI x 1 was accepted! Congratulations to Yajing Zheng!
Providing dataset for color spike camera reconstruction, which consists of 28 Bayer-pattern spike stream (BSS) clips."
Adding algorithm in "Learning a Deep Demosaicing Network for Spike Camera with Color Filter Array (TIP 24, Dong, et al.)". It includes train/evaluate codes for CSpkNet.
Adding algorithm in "Recognizing High-Speed Moving Objects with Spike Camera (ACM MM 23, Zhao, et al.)". It includes train/evaluate codes for HSSR.
Adding algorithm in "SpiReco: Fast and Efficient Recognition of High-Speed Moving Objects with Spike Cameras (TCSVT 23, Zhao, et al.)". It includes train/evaluate codes for SpiReco.
Adding algorithm in "Learning Super-Resolution Reconstruction for High Temporal Resolution Spike Stream (TCSVT 21, Xiang, et al.)". It includes test codes for SRR.
We are the research team from Peking University. To build up a community ecology for the spike vision to facilitate more users to take advantage of the spike camera, our built SpikeCV provides a variety of ultra-high-speed scene datasets, hardware interfaces, and an easy-to-use modules library. SpikeCV focuses on encapsulation for spike data, standardization for dataset interfaces, modularization for vision tasks, and real-time applications for challenging scenes, which can be used as a Python library to fulfilled most of the numerical analysis needs of researchers
“工欲善其事，必先利其器。”
《论语》
We are committed to integrating algorithms, hardware and data into a unified interface for user utilization.
We offer open-source platform to the community for development.
We offer examples for using spike cameras to solve real visual tasks.