colorfulCloud's Stars
PaddlePaddle/PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
Tencent/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
NVlabs/instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
isl-org/MiDaS
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
sxyu/svox2
Plenoxels: Radiance Fields without Neural Networks
jakeret/tf_unet
Generic U-Net Tensorflow implementation for image segmentation
wanghaisheng/awesome-ocr
A curated list of promising OCR resources
elliottwu/unsup3d
(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
davideberly/GeometricTools
A collection of source code for computing in the fields of mathematics, geometry, graphics, image analysis and physics.
ethan-li-coding/SemiGlobalMatching
SGM,立体匹配StereoMatching最经典应用最广泛算法,4000+引用,兼顾效率和效果。完整实现,代码规范,注释清晰,博客教学,欢迎star!
voldemortX/pytorch-auto-drive
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
ventusff/neurecon
Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.
linksense/LightNet
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
liuruijin17/LSTR
This is an official repository of End-to-end Lane Shape Prediction with Transformers.
kmaninis/OSVOS-PyTorch
PyTorch implementation of One-Shot Video Object Segmentation (OSVOS)
hyseob/MDNet
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
starimeL/PytorchConverter
Pytorch model to caffe & ncnn
luoyetx/mini-caffe
Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.
MTLab/onnx2caffe
pytorch to caffe by onnx
TingsongYu/cascaded_mobilenet-v2
cascaded convolutional neural network for facial point detection
alanlukezic/csr-dcf
Discriminative Correlation Filter with Channel and Spatial Reliability
shaofengzeng/SuperPoint-Pytorch
Pytorch Implementation of rpautrat/SuperPoint
SoulmateB/CurveLanes
CurveLanes is a new benchmark lane detection dataset with 150K lanes images for difficult scenarios such as curves and multi-lanes in traffic lane detection. It is collected in real urban and highway scenarios in multiple cities in China.
zhy520xp/mace-makefile-project
makefile 交叉编译 libmace.a,并能在嵌入式端调用GPU来跑深度学习模型
ericsun99/MobileNet-V2-Pytorch
Model shared. Top1:71.806/Top5:90.410
mo-vic/BezierLaneNet
Exploring the use of bezier curves for lane detection —— A baseline model.
Jrdevil-Wang/shm_transport
An attempt to communicate with shared memory for ROS 1.
misbah4064/object_tracking
Easy OpenCV Python Object Tracking Application using selectROI
zhyj3038/PyMDNet
A tensorflow implementation of [Hyeonseob Nam and Bohyung Han, Learning Multi-Domain Convolutional Neural Networks for Visual Tracking, CVPR2016]