wzx___'s repositories
Dress
好耶 是女装
ncnn-portrait-segmentation
⚡️Real-time portrait segmentation
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, DPN, CSPNet, and more
pytorch-cifar
95.47% on CIFAR10 with PyTorch
img2pose
The official PyTorch implementation of img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation
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
PFLD-pytorch
PFLD pytorch Implementation
darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
YOLOv3v4-ModelCompression-MultidatasetTraining-Multibackbone
YOLO ModelCompression MultidatasetTraining
yolov3
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
opencv_contrib
Repository for OpenCV's extra modules
fanqiang
翻墙-科学上网
yolov3-channel-and-layer-pruning
yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝,通道剪枝,知识蒸馏
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
caffe
Caffe: a fast open framework for deep learning.
models
Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)
X2Paddle
Deep learning model converter for PaddlePaddle. (『飞桨』深度学习模型转换工具)
Paddle-YOLOv4
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。
tensorflow-yolov3
🔥 Pure tensorflow Implement of YOLOv3 with support to train your own dataset
CRCNN-Action
Context-aware RCNN: a Baseline for Action Detection in Videos
tesseract
Tesseract Open Source OCR Engine (main repository)
tessdata
Trained models with support for legacy and LSTM OCR engine
yousan.ai
Awesome resources of yousan.ai(closely related to deep learning).
Paddle-DIOU-YOLOv3
Paddle上实现yolov3算法
SeetaFace2
SeetaFace 2: open source, full stack face recognization toolkit.
MobileNet-SSD
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
MobileNetV3-Pytorch
Implementing Searching for MobileNetV3 paper using Pytorch