491913145's repositories
awesome_SSD_FPN_GIoU
This repository carries out some paper recurring work
caffe-yolov3
A real-time object detection framework of Yolov3 based on caffe
CFSRCNN
Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)
DenseNet-Caffe
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
find_path
python实现跳点寻路（ jps）
irr
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation (CVPR 2019)
lightweight_openpose
A tensorflow implementation of Arxiv Paper "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose "(https://arxiv.org/abs/1811.12004)
LiteFlowNet2
A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020
MobileNet-SSD
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
openpose_caffe_train
Modified Caffe version for https://github.com/CMU-Perceptual-Computing-Lab/openpose_train
openpose_train
Training repository for OpenPose
peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
PWC-Net
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
python-flappyBird
python3 pygame 引擎写的flappyBird
PyTorch-CycleGAN
A clean and readable Pytorch implementation of CycleGAN
pytorch-liteflownet
a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version
PytorchToCaffe
Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs
ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
SSD_mobilenetv2-with-Focal-loss
this repo is forked from https://github.com/amdegroot/ssd.pytorch. Implemented by pytorch
stable-diffusion-webui
Stable Diffusion web UI
VCN
Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > iOS