Pinned Repositories
c-
C语言学习
CHINESE-OCR
[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别
DetNet_pytorch
An implementation of DetNet: A Backbone network for Object Detection.
FgSegNet_v2
FgSegNet_v2: "Learning Multi-scale Features for Foreground Segmentation.” by Long Ang LIM and Hacer YALIM KELES
labelImg
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Object_detection_tools
该库用来目标检测中数据集制作，各种性能指标测量。
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch-fcn
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
PyTorch_Primer
An introductory tutorial for PyTorch
yuanhanxiagn's Repositories
yuanhanxiagn/c-
C语言学习
yuanhanxiagn/CHINESE-OCR
[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别
yuanhanxiagn/DetNet_pytorch
An implementation of DetNet: A Backbone network for Object Detection.
yuanhanxiagn/FgSegNet_v2
FgSegNet_v2: "Learning Multi-scale Features for Foreground Segmentation.” by Long Ang LIM and Hacer YALIM KELES
yuanhanxiagn/labelImg
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
yuanhanxiagn/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
yuanhanxiagn/Object_detection_tools
该库用来目标检测中数据集制作，各种性能指标测量。
yuanhanxiagn/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
yuanhanxiagn/pytorch-fcn
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
yuanhanxiagn/PyTorch_Primer
An introductory tutorial for PyTorch
yuanhanxiagn/YOLO_v3_tutorial_from_scratch
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
yuanhanxiagn/yolov4-pytorch
这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。