Longfei.Gou's starred repositories
SwiftFormer
[ICCV'23] Official repository of paper SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications
YOLOv8-DeepSORT-Object-Tracking
YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT
Rethinking-Low-quality-Optical-Flow
PyTorch implementation for "Rethinking Low-quality Optical Flow in Unsupervised Surgical Instrument Segmentation"
LightM-UNet
Pytorch implementation of "LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation"
onnx-tensorrt
ONNX-TensorRT: TensorRT backend for ONNX
EfficientSAM
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
tuning_playbook_zh_cn
一本系统地教你将深度学习模型的性能最大化的战术手册。
Endoscapes
Official Repository for the Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment
awesome-image-classification
A curated list of deep learning image classification papers and codes
pytorch-classification
Classification with PyTorch.
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
lossless-cut
The swiss army knife of lossless video/audio editing
ISAT_with_segment_anything
Interactive semi-automatic image segmentation annotation tool.(交互式半自动图像分割标注工具)
ISAT_with_segment_anything
Labeling tool with SAM(segment anything model),supports SAM, SAM2, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具
PlotNeuralNet
Latex code for making neural networks diagrams
segment-anything-annotator
We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal and VOS methods for video datasets
napari-segment-anything
Segment Anything Model (SAM) native Qt UI