Pinned Repositories
awesome-deep-vision
A curated list of deep learning resources for computer vision
awesome-parking-slot-detection
papers and codes about parking slot detection
detectnet_deploy
Doit_Cloud
Fig2_Fig3_Fig4-for-NR-IQA-with-Shearlet-Transform-and-DNN
Liveness-Detection
lymhust.github.io
NR-VQA-1D-CNN
TAD16K_source
torch_tensorRT_binding
lymhust's Repositories
lymhust/Fig2_Fig3_Fig4-for-NR-IQA-with-Shearlet-Transform-and-DNN
lymhust/Example-Using-CCV-in-Torch7
Example: Using CCV Face Detection Function in Torch7
lymhust/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
lymhust/awesome-random-forest
Random Forest - a curated list of resources regarding random forest
lymhust/CaffeModelCompression
Tool to compress trained caffe weights
lymhust/ccv
C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
lymhust/curfil
CUDA Random Forest implementation for Image Labeling tasks
lymhust/deepframeworks
Evaluation of Deep Learning Frameworks
lymhust/demos
Demos and tutorials around Torch7.
lymhust/Drawbox-module-for-Torch7
Drawbox module for Torch7
lymhust/fastrcnn-models.torch
Fast-RCNN models in Torch-7 format
lymhust/fex
feature extractor library for torch7
lymhust/gtsrb.torch
Traffic sign recognition with Torch
lymhust/ImageLabel
图像标注工具 Image Label Tool
lymhust/lmdb.torch
LMDB for Torch
lymhust/loadccv
Load ccv networks in Torch7
lymhust/lua---ffmpeg
An interface between ffmpeg and Lua/Torch
lymhust/Lua-FFI-Example
Lua FFI example: using TH lib in Lua.
lymhust/nodemcu-platform
A platform to serve as a base for nodemcu-firmware Lua applications
lymhust/NR-IQA-CNN
lymhust/parallel-random-forest
An Implementation of Random Forest in C++, parallelized with OpenMP
lymhust/precisionrecall.torch
Precision/Recall/AP function, nothing fancy
lymhust/README
README文件语法解读,即Github Flavored Markdown语法介绍
lymhust/stnbhwd
Modules for spatial transformer networks (BHWD layout)
lymhust/torch-opencv
OpenCV bindings for Torch.
lymhust/torch-toolbox
A collection of snippets and libraries for Torch from e-Lab
lymhust/torch7
http://torch.ch
lymhust/Traffic-Sign-Detection-and-Recognition
lymhust/tutorials
A series of machine learning tutorials for Torch7
lymhust/vatic
vatic is an online, interactive video annotation tool for computer vision research that crowdsources work to Amazon's Mechanical Turk. Our tool makes it easy to build massive, affordable video data sets. Written in Python + C + Javascript, vatic is free and open-source software.