A154609's repositories
pytorch_simple_CenterNet_45
A simple pytorch implementation of CenterNet (Objects as Points)
albumentations
Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125
awesome-human-pose-estimation
A collection of awesome resources in Human Pose estimation.
awesome-image-classification
A curated list of deep learning image classification papers and codes
CenterNet-1
Object detection, 3D detection, and pose estimation using center point detection:
CV-Company-List
**提供计算机视觉(CV)算法岗位的公司名单，欢迎大家提交issues进行补充
DeepVOG
Pupil segmentation and gaze estimation using fully convolutional neural networks
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
ECANet
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
gluon-cv
Gluon CV Toolkit
imageset-viewer
Pascal VOC BBox Viewer
MobileNet-Yolo
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
PlotNeuralNet
Latex code for making neural networks diagrams
ppdet
[BMVC-20] Official PyTorch implementation of PPDet.
pytorch-best-practice
A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats
pytorch-metrics
Accuracy, precision, recall, confusion matrix computation with batch updates
pytorch_classification
利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码
simple-retinanet-pytorch
Rtinanet implement in pytorch.
SmallObjectAugmentation
Simple implementation of augmentation for small object detection
SSD
High quality, fast, modular reference implementation of SSD in PyTorch
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
voc2007_for_yolo_torch
prepare dataset for voc https://github.com/ultralytics/yolov3
Yolo-Fastest
:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB
yolov3
YOLOv3 in PyTorch > ONNX > CoreML > iOS
yolov4-tiny-keras
这是一个YoloV4-tiny-keras的源码，可以用于训练自己的模型。