Pinned Repositories
Airbus-Ship-Detection-Challenge-2018_8th_place_solution
Kaggle Airbus Ship Detection Challenge 2018 8th place code
auto_annotate
Automate approach to label images.
awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
caffe
Caffe: a fast open framework for deep learning.
caffe-fast-rcnn
Caffe fork that supports Fast R-CNN
caffe-int8-convert-tools
Generate a quantization parameter file for ncnn framework int8 inference
caffe-model-zoo
caffe pretrained models and prototxt
caffe-yolov3
A real-time object detection framework of Yolov3 based on caffe
Caffe-YOLOv3-Windows
A windows caffe implementation of YOLO detection network
caffe_yolov2
YOLOv2 object detection based on Caffe
NJUSTghw's Repositories
NJUSTghw/auto_annotate
Automate approach to label images.
NJUSTghw/awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
NJUSTghw/caffe-int8-convert-tools
Generate a quantization parameter file for ncnn framework int8 inference
NJUSTghw/Cloud-Net-A-semantic-segmentation-CNN-for-cloud-detection
A semantic segmentation CNN for cloud detection
NJUSTghw/Deeplearning-for-cloud-detection
Two kinds of full convolution neural network models based on multi-scale feature fusion for cloud area detection of remote sensing image.
NJUSTghw/DRN_CVPR2020
Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"
NJUSTghw/efficientdet-pytorch
这是一个efficientdet-pytorch的源码,可以用于训练自己的模型。
NJUSTghw/EfficientDet.Pytorch
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
NJUSTghw/ENet-Real-Time-Semantic-Segmentation
ENet - A Neural Net Architecture for real time Semantic Segmentation
NJUSTghw/Fmask
The software called Fmask (Function of mask) is used for automated clouds, cloud shadows, and snow masking for Landsats 4-8 and Sentinel 2 images.
NJUSTghw/ImageProcessing-Python
该资源为作者在CSDN的撰写Python图像处理文章的支撑,主要是Python实现图像处理、图像识别、图像分类等算法代码实现,希望该资源对您有所帮助,一起加油。
NJUSTghw/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
NJUSTghw/objectDetectionDatasets
目标检测数据集制作:VOC,COCO,YOLO等常用数据集格式的制作和互相转换脚本
NJUSTghw/python-fmask4
EXPERIMENTAL implementation of Fmask4 algorithm (Qiu et al, 2019) for cloud and cloud shadow detection in Landsat and Sentinel-2 satellite imagery
NJUSTghw/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
NJUSTghw/PyTorch-ENet
PyTorch implementation of ENet
NJUSTghw/pytorch-grad-cam
PyTorch implementation of Grad-CAM
NJUSTghw/roLabelImg
Label Rotated Rect On Images for training
NJUSTghw/rotate-yolov3
Arbitrary oriented object detection implemented with yolov3 (attached with some tricks).
NJUSTghw/RS-Net
RS-Net is a cloud detection algorithm for satellite imagery
NJUSTghw/Ryolo_darknet
Rotating object detection based on yolo
NJUSTghw/semantic-segmentation-editor
Web labeling tool for camera and LIDAR data
NJUSTghw/semi-auto-image-annotation-tool
Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations for 80 object classes using a pre-trained model
NJUSTghw/torch-cam
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM)
NJUSTghw/TSD
1st place models in Google OpenImage Detection Challenge 2019
NJUSTghw/visualize_optimizers
Visualization of DL optimization algorithms
NJUSTghw/Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
NJUSTghw/YOLO-Multi-Backbones-Attention
Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization
NJUSTghw/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > iOS
NJUSTghw/YOLOv4-pytorch
This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO