Pinned Repositories
3D-reconstruction-and-Rendering
Integral Surface Normal to do the 3D reconstruction and Rendering
__Overview__
Content including: Image Processing, Deep Learning, Computer Vision, Reinforcement Learning, and Robotics.
AI-Benchmark
Build keras models for 9 Tasks in AI-Benchmark: Object Detection: Mobile-v2, Inception-v3, Face Recognition: Inception-Resnet-v1, Super Resolution: SRCNN, VDSR, SRGAN, Resnet-12+GAN, and Semantic Segmantation: ICNet
CONVERT_RAW_TO_sRGB
UCSD ECE 253 Digital Image Processing Camera Pipeline
Halide_Tutorial
Introduce the basic of high-level image processing language Halide with English and 简体中文
Human-Detection-In-Depth-Image
find a distance between a human and a wall in a corridor using depth camera observations.
Image-Recognition-on-MNIST-dataset
Compared the performance of Alexnet, K Nearest Neighbor, Spatial Pyramid Matching, Support Vector Machine, and Deep Belief Network for image classification on MNIST dataset.
Implement-SLAM-with-RGBD-measurements
Implement simultaneous localization and mapping (SLAM) using odometry, inertial, 2-D laser range, and RGBD measurements from a humanoid robot.
Multi-DDPG-with-parameter-noise
New reinforcement algorithm base on DDPG
Octave-Conv-Keras
This is a keras implementation of Octave Convolution
l5shi's Repositories
l5shi/Multi-DDPG-with-parameter-noise
New reinforcement algorithm base on DDPG
l5shi/Octave-Conv-Keras
This is a keras implementation of Octave Convolution
l5shi/AI-Benchmark
Build keras models for 9 Tasks in AI-Benchmark: Object Detection: Mobile-v2, Inception-v3, Face Recognition: Inception-Resnet-v1, Super Resolution: SRCNN, VDSR, SRGAN, Resnet-12+GAN, and Semantic Segmantation: ICNet
l5shi/Halide_Tutorial
Introduce the basic of high-level image processing language Halide with English and 简体中文
l5shi/Image-Recognition-on-MNIST-dataset
Compared the performance of Alexnet, K Nearest Neighbor, Spatial Pyramid Matching, Support Vector Machine, and Deep Belief Network for image classification on MNIST dataset.
l5shi/Human-Detection-In-Depth-Image
find a distance between a human and a wall in a corridor using depth camera observations.
l5shi/3D-reconstruction-and-Rendering
Integral Surface Normal to do the 3D reconstruction and Rendering
l5shi/Implement-SLAM-with-RGBD-measurements
Implement simultaneous localization and mapping (SLAM) using odometry, inertial, 2-D laser range, and RGBD measurements from a humanoid robot.
l5shi/__Overview__
Content including: Image Processing, Deep Learning, Computer Vision, Reinforcement Learning, and Robotics.
l5shi/CONVERT_RAW_TO_sRGB
UCSD ECE 253 Digital Image Processing Camera Pipeline
l5shi/Image-Inpainting-and-Classification
the project includes image inpainting, image deblurring and image classifying.
l5shi/Object-Detection-and-Color-Segmentation
Red barrel detection and distance estimation
l5shi/ONNX_TUTORIAL
This repository is used to build ONNX model from scratch.
l5shi/Reinforcement-Learning-DDPG
This repository compares (Deep Deterministic Policy Gradient)DDPG with reinforce algorithm on OpenAI games.
l5shi/Reinforcement-Learning-Deep-Q-Learning
Implement DQN using pytorch
l5shi/Stereo-Matching
Corner Detection + NCC Matching + Rectifying
l5shi/awesome-adb
:lollipop: ADB Usage Complete / ADB 用法大全
l5shi/awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
l5shi/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
l5shi/BurstImageDenoising
Fast burst images denoising project
l5shi/ECE180Team4Project
WIN18 ECE180 Team4 Final Project - Yelp data chanllenge
l5shi/Feline_Classifier
Feline_Classifier with CNN and 4-channel input and partial blurred image
l5shi/Halide
a language for fast, portable data-parallel computation
l5shi/Programming-HOWTO
l5shi/Python-UI-by-wx
l5shi/The-State-of-the-Art-in-HDR-Deghosting