garymlong's Stars
aws/deep-learning-containers
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
getsops/sops
Simple and flexible tool for managing secrets
air-verse/air
☁️ Live reload for Go apps
softwaremill/elasticmq
In-memory message queue with an Amazon SQS-compatible interface. Runs stand-alone or embedded.
hsource/pobfrontend
Cross-platform Path of Building driver
open-mmlab/labelbee-client
Out-of-the-box Annotation Toolbox
open-mmlab/mmdeploy
OpenMMLab Model Deployment Framework
microsoft/onnxruntime-inference-examples
Examples for using ONNX Runtime for machine learning inferencing.
WongKinYiu/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
cvat-ai/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.
HumanSignal/label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
shaifaliparashar/Cartan_sft_nrsfm
rouge1616/ElasticSfT
Projective Constraints in SOFA for the resolution of the Elastic Shape-from-Template problem
dphoyes/OpenCL-Structure-from-Motion
gyroflow/gyroflow
Video stabilization using gyroscope data
quic/sample-apps-for-robotics-platforms
tum-vision/online_photometric_calibration
Implementation of online photometric calibration (https://vision.in.tum.de/research/vslam/photometric-calibration)
michael5511b/Computer-Vision-Lucas-Kanade-Tracking-and-Correlation-Filters
Four main sections: A simple Lucas-Kanade (LK) tracker with one single template, the better version of the first tracker that can accommodate for large appearance variance, implementation of a motion subtraction method for tracking moving pixels in a scene, and making the tracker more efficient with inverse composition and correlation filters.
Samleo8/ImageAlignmentCpp
C++ Implementation of Baker-Matthews Inverse Compositional Image Alignment algorithm, with speed and accuracy optimisations
tbriand/inverse_compositional
Implementation of the inverse compositional algorithm for parametric motion estimation (experimental git)
InnovArul/codesmart
This repository contains source codes of the assignments from classes (university, coursera, edx, udemy, udacity), some hobby projects, other miscellaneous stuffs
bgaster/opencl-book-samples
Automatically exported from code.google.com/p/opencl-book-samples
vencabkk/opencl-resizer
Fastest image resizer
hzwer/Awesome-Optical-Flow
This is a list of awesome paper about optical flow and related work.
CCNYRoboticsLab/imu_tools
ROS tools for IMU devices
priseborough/InertialNav
Inertial Navigation Filter
gaoxiang12/slambook
HeYijia/vio_data_simulation
Generate imu data and feature in camera frame. You can use this data to test your VINS.
enginBozkurt/Error-State-Extended-Kalman-Filter
Vehicle State Estimation using Error-State Extended Kalman Filter
aipiano/ESEKF_IMU
A python implemented error-state extended Kalman Filter. Suit for learning EKF and IMU integration.