Pinned Repositories
cascade-rcnn_Pytorch
An implementation of Cascade R-CNN: Delving into High Quality Object Detection.
deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
ESRGAN
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)
FPGA-Mnist
Hand written number classification done in hardware (De1-SoC board) using neural networks
grounded-video-description
Video Grounding and Captioning
keras-maskrcnn
Keras implementation of MaskRCNN object detection.
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
mnist_fpga
using xilinx xc6slx45 to implement mnist net
multitrident
I combine trident net and refinedet to detect objects of different scales at the same time in one forward propagation
The-car-base-on-FPGA
开发环境是Windows 10, Quartus。硬件开发语言是Verilog。 利用FPGA开发的智能小车，分为两个部分，控制器部分和小车部分，通过蓝牙信号进行连接。 控制部分可以通过加速度传感器检测手势，从而控制小车的前后左右。 加速度传感器还可以检测人体是否摔倒，从而让小车自动寻径（设想是走到人身边，但是比较难实现，所以是沿着设定好的路径循迹）。 同时有超声波避障功能。 还有一些密码锁，music的小tricks就自己摸索吧
Lydaidai's Repositories
Lydaidai/The-car-base-on-FPGA
开发环境是Windows 10, Quartus。硬件开发语言是Verilog。 利用FPGA开发的智能小车，分为两个部分，控制器部分和小车部分，通过蓝牙信号进行连接。 控制部分可以通过加速度传感器检测手势，从而控制小车的前后左右。 加速度传感器还可以检测人体是否摔倒，从而让小车自动寻径（设想是走到人身边，但是比较难实现，所以是沿着设定好的路径循迹）。 同时有超声波避障功能。 还有一些密码锁，music的小tricks就自己摸索吧
Lydaidai/cascade-rcnn_Pytorch
An implementation of Cascade R-CNN: Delving into High Quality Object Detection.
Lydaidai/deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
Lydaidai/ESRGAN
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)
Lydaidai/FPGA-Mnist
Hand written number classification done in hardware (De1-SoC board) using neural networks
Lydaidai/grounded-video-description
Video Grounding and Captioning
Lydaidai/keras-maskrcnn
Keras implementation of MaskRCNN object detection.
Lydaidai/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Lydaidai/mnist_fpga
using xilinx xc6slx45 to implement mnist net
Lydaidai/multitrident
I combine trident net and refinedet to detect objects of different scales at the same time in one forward propagation
Lydaidai/ojbk
Lydaidai/openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Lydaidai/python_video_stab
A Python package to stabilize videos using OpenCV
Lydaidai/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Lydaidai/RBPN-PyTorch
The project is an official implement of our CVPR2019 paper "Recurrent Back-Projection Network for Video Super-Resolution"
Lydaidai/SCN_for_video_captioning
Using Semantic Compositional Networks for Video Captioning
Lydaidai/simpledet
A Simple and Versatile Framework for Object Detection and Instance Recognition
Lydaidai/SlideSeg
A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.
Lydaidai/Spatial-Temporal-Adaptive-Attention-for-Video-Captioning
Extension of hLSTMat
Lydaidai/tf-pose-estimation
Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.
Lydaidai/video-caption.pytorch
pytorch implementation of video captioning
Lydaidai/video-captioning
This repository contains the code for a video captioning system inspired by Sequence to Sequence -- Video to Text. This system takes as input a video and generates a caption in English describing the video.
Lydaidai/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Lydaidai/VSR-DUF
Lydaidai/VSR-DUF-Reimplement
It is a re-implementation of paper named "Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation" called VSR-DUF model. There are both training codes and test codes about VSR-DUF based tensorflow.
Lydaidai/WSDEC
Weakly Supervised Dense Event Captioning in Videos, i.e. generating multiple sentence descriptions for a video in a weakly-supervised manner.
Lydaidai/yolov3-tf2
YoloV3 Implemented in Tensorflow 2.0