Pinned Repositories
automl
Google Brain AutoML
Awesome-Crowd-Counting
Awesome Crowd Counting
Bayesian-Crowd-Counting
Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision
C-3-Framework
An open-source PyTorch code for crowd counting
crowdcount-cascaded-mtl
Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)
crowdcount-mcnn
Single Image Crowd Counting via MCNN (Unofficial Implementation)
crowdcount-stackpool
Stacked pooling for crowd counting
darknet
Yolo v4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)
GCC-SFCN
This is the official code of spatial FCN in the paper Learning from Synthetic Data for Crowd Counting in the Wild [CVPR2019].
labelme2dataset
Converts the semantic segmentation data annotated with Labelme to COCO or Cityscapes
caozhiwei1994's Repositories
caozhiwei1994/labelme2dataset
Converts the semantic segmentation data annotated with Labelme to COCO or Cityscapes
caozhiwei1994/automl
Google Brain AutoML
caozhiwei1994/Awesome-Crowd-Counting
Awesome Crowd Counting
caozhiwei1994/Bayesian-Crowd-Counting
Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision
caozhiwei1994/C-3-Framework
An open-source PyTorch code for crowd counting
caozhiwei1994/crowdcount-cascaded-mtl
Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)
caozhiwei1994/crowdcount-mcnn
Single Image Crowd Counting via MCNN (Unofficial Implementation)
caozhiwei1994/crowdcount-stackpool
Stacked pooling for crowd counting
caozhiwei1994/darknet
Yolo v4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)
caozhiwei1994/GCC-SFCN
This is the official code of spatial FCN in the paper Learning from Synthetic Data for Crowd Counting in the Wild [CVPR2019].
caozhiwei1994/Gradient-Centralization
A New Optimization Technique for Deep Neural Networks
caozhiwei1994/Learning-to-See-in-the-Dark
Learning to See in the Dark. CVPR 2018
caozhiwei1994/lsc-cnn
caozhiwei1994/models
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
caozhiwei1994/mscnn
mscnn crowd counting model implementation, source from "Multi-scale Convolution Neural Networks for Crowd Counting" write by Zeng L, Xu X, Cai B, et al.
caozhiwei1994/netron
Visualizer for neural network, deep learning and machine learning models
caozhiwei1994/opencv_contrib
Repository for OpenCV's extra modules
caozhiwei1994/pcl
Point Cloud Library (PCL)
caozhiwei1994/prepare_detection_dataset
convert dataset to coco/voc format
caozhiwei1994/SSD
High quality, fast, modular reference implementation of SSD in PyTorch
caozhiwei1994/SSD-SE-CBAM-Resnet-Feature_Fusion
SSD的改进：加入attention机制——SE或者CBAM；Feature Fusion
caozhiwei1994/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > iOS
caozhiwei1994/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > iOS