Pinned Repositories
cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
autodistill-grounding-dino
Grounding DINO module for use with Autodistill. My weights
Hagonata
Config files for my GitHub profile.
ray-tracer-zigzag
VideoMAE
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
VisionModels
world-cities
YOLOP
You Only Look Once for Panopitic Driving Perception.（MIR2022）
VideoMAE
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
pytorch-auto-drive
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
hagonata's Repositories
hagonata/autodistill-grounding-dino
Grounding DINO module for use with Autodistill. My weights
hagonata/Hagonata
Config files for my GitHub profile.
hagonata/ray-tracer-zigzag
hagonata/VideoMAE
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
hagonata/VisionModels
hagonata/world-cities