Ba Tran's repositories
onnx_runtime_cpp
small c++ library to quickly deploy models using onnxruntime
rail_marking
proof-of-concept program that detects rail-track with semantic segmentation for autonomous train system
3d_line_detection
3d line detection from pointcloud using Hough Transform
yolov3_pytorch
bird detection by yolov3
ransac_lines_fitting_gpu
simple GPU ransac fitting of multiple lines on 2d/3d point cloud
generic_dbscan
generic DBSCAN on CPU & GPU
lidar_camera_calibration_point_to_plane
Extrinsic Calibration of Monocular Camera and Lidar using Planar Point To Plane Constraint
obstacle_detection_stixelnet
stixelnet for obstacle region detection of road scenes
uncalibrated_stereo_rectification
simple library for uncalibrated stereo rectification using feature points
curved_voxel_clustering
Pointcloud Segmentation by Curved-Voxel Clustering
sensor_visualization_toolbox
simple visualization toolbox for 3d vision sensors/tasks
superpoint_superglue_deployment
simple library to make life easy when deploying superpoint, superglue models
stereo_calibration
stereo rectification/calibration from almost^^ scatch
camera_instrinsic_calibration
camera intrinsic calibration from (almost) scratch for better understanding of intrinsic calibration mechanism
simple_parallel_line_fitting
simple parallel line fitting using RANSAC linear least squares
dockerfiles
personal collection of dockerfiles
gpu_mosse_tracker
Simple correlation filter-based MOSSE tracker using PyTorch tensor interface
hungarian_algorithm_cpp
Graph-based Hungarian assignment algorithm
omnidirectional_camera
small notes and samples related to omnidirectional cameras
coarse_to_fine_image_registration
Coarse-to-Fine High Resolution Image Alignment/Registration
LoFTR
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021
miscellaneous
my playground
PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, etc.
pytorch-ssd
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/