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segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

shufflenet-series

shufflenetv2_plus

the modify for shufflenets: shufflenet_v2_csp;shufflenet_v2_k5;shufflenet_v2_liteconv;shufflenet_v2_se_attention;shufflenet_v2_sk_attention

shufflev2-yolov5

🍅🍅🍅shufflev2-yolov5: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

sort-cpp

C++ port of Simple online and realtime tracking(SORT)

stereo-transformer

Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)

surroundocc-liyj

[ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving

tensorrt-centernet

tensorrt5 , centernet , centerface, deform conv, int8

tensorrtintegrate

TensorRT ONNX Plugin、Inference、Compile

topomlp_liyj

tracking-anything-with-deva-liyj

[ICCV 2023] Tracking Anything with Decoupled Video Segmentation

tsdf-fusion-python

Python code to fuse multiple RGB-D images into a TSDF voxel volume.

ulsd-isprs

unified-line-segment-detection

Unified Line Segment Detection

vins-fusion

An optimization-based multi-sensor state estimator

viw-fusion

Visual-inertial-wheel fusion odometry, better performance in scenes with drastic changes in light

vortx

Source code for the paper "Volumetric 3D Reconstruction with Transformers for Voxel-wise View Selection and Fusion"

yolo-fastestv2

:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

yolop

You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）

yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

yolov5-face

yolov5_strongsort_osnet

Real-time multi-camera multi-object tracker using YOLOv5 and StrongSORT with OSNet

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

yolox

YOLOX is a high-performance anchor-free YOLO. Exceeding yolov3~v5 with ONNX, TensorRT, ncnn, and Openvino supported.