Pinned Repositories
3D-ResNets-PyTorch
3D ResNets update to pytorch 1.3
CS-Books
📚 Computer Science Books 计算机技术类书籍 PDF
Denseflow_opencv3
Use GPU to extract videos' dense optical flow by opencv3 just one cpp
iostat-plotter
fork of the iostat_plotter by Jeffrey B. Layton
kmeans-anchor-boxes
k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper
Markdown4Zhihu
一键解决知乎导入Markdown文件时图片和公式等问题。
object-detection-anchors
Tips on how to find suitable object detection anchors
PPDM
Code for "PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection".
pretorched-x
Pretrained Image & Video ConvNets for PyTorch: NASNet, ResNeXt (2D + 3D), ResNet (2D + 3D), InceptionV4, InceptionResnetV2, Xception, DPN, NonLocalNets, R(2+1)D nets, MultiView CNNs, Temporal Relation Networks, etc.
pytorch-retinanet
Pytorch implementation of RetinaNet object detection.
wanxinzzz's Repositories
wanxinzzz/Denseflow_opencv3
Use GPU to extract videos' dense optical flow by opencv3 just one cpp
wanxinzzz/3D-ResNets-PyTorch
3D ResNets update to pytorch 1.3
wanxinzzz/CS-Books
📚 Computer Science Books 计算机技术类书籍 PDF
wanxinzzz/iostat-plotter
fork of the iostat_plotter by Jeffrey B. Layton
wanxinzzz/kmeans-anchor-boxes
k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper
wanxinzzz/Markdown4Zhihu
一键解决知乎导入Markdown文件时图片和公式等问题。
wanxinzzz/object-detection-anchors
Tips on how to find suitable object detection anchors
wanxinzzz/PPDM
Code for "PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection".
wanxinzzz/pretorched-x
Pretrained Image & Video ConvNets for PyTorch: NASNet, ResNeXt (2D + 3D), ResNet (2D + 3D), InceptionV4, InceptionResnetV2, Xception, DPN, NonLocalNets, R(2+1)D nets, MultiView CNNs, Temporal Relation Networks, etc.
wanxinzzz/pytorch-retinanet
Pytorch implementation of RetinaNet object detection.
wanxinzzz/TensorRT-Yolov3
TensorRT for Yolov3
wanxinzzz/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > iOS