PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, DPN, CSPNet, and more
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
The official PyTorch implementation of img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation
: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
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥
yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝,通道剪枝,知识蒸馏
YOLO ModelCompression MultidatasetTraining
🔥 Pure tensorflow Implement of YOLOv3 with support to train your own dataset
Paddle-YOLOv4,supports training, at least 39.5% mAP.支持训练,至少39.5%mAP。少数的给出精度的复现。