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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.

pytorch-yolov4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

pyyolo

Python Wrapper for Yolo

review_object_detection_metrics

Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.

rfnet

RFNet: Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection of Road-driving Images

rgbd-semantic-segmentation

rgbd_semantic_segmentation_pytorch

PyTorch Implementation of some RGBD Semantic Segmentation models.

sassnet

Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images

scaledyolov4

second.pytorch

SECOND for KITTI/NuScenes object detection

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

semantic-depth

Fusing Semantic Segmentation and Monocular Depth Estimation for Enabling Autonomous Driving in Roads without Lane Lines

semantic-segmentation-rgbd-segnet

This repository is about an implementation of a Convolution-Deconvolution neural network for semantic segmentation trained from scratch trained with synthetic data then fine-tuned with real data

semanticsegmentation_dl

Resources of semantic segmantation based on Deep Learning model

sort-deepsort-yolov3-ros

Tracker ROS node (sort and deep sort) using darknet_ros (YOLOv3)

sparseml

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

ssd-6d

Inference code and trained networks for SSD-6D

stereo-vision--image-segmentation-and-image-search-engine

Developed depth map of image by disparity estimation using block matching and dynamic programing and synthesized new view using disparity maps.  Segmented various objects in image using Mean-Shift Segmentation.  Developed Content Based Image Retrieval System (Image Search Engine) using OpenCV.

stereo-vision-and-segmentation

Disparity Maps and Image Segmentation Implementation

stereodepth

single and stereo calibration, disparity calculation.

supergluepretrainednetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

synthetic-dataset

A driving simulator based on VDrift for generating synthetic ground truth data for stereo, optical flow and semantic segmentation.

synthetic_blender_images

Synthetic images generated using Blender for experimentation with depth and object detection

temporal-depth-segmentation

Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

tnn

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

tutorial-image-and-multiple-bounding-boxes-augmentation-for-deep-learning-in-4-steps

undepthflow

unet-gan-matting

Background Removal based on U-Net

unidet

Object detection on multiple datasets with an automatically learned unified label space.