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xiaojinu's Projects

tensorrtx icon tensorrtx

Implementation of popular deep learning networks with TensorRT network definition APIs

tfboys icon tfboys

TensorFlow and Pytorch practice codes with purity and simplicity.

tiny icon tiny

Tiny Face Detector, CVPR 2017

torch-template-for-deep-learning icon torch-template-for-deep-learning

Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.

torch-toolbox icon torch-toolbox

[Active development]ToolBox to make using Pytorch much easier.

torch2trt icon torch2trt

An easy to use PyTorch to TensorRT converter

tpu icon tpu

Reference models and tools for Cloud TPUs.

u-2-net icon u-2-net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

vgg-or-mobilenet-ssd icon vgg-or-mobilenet-ssd

Caffe implementation of Google VGG/MobileNet SSD detection network. Ref: (https://github.com/chuanqi305/MobileNet-SSD) (https://github.com/weiliu89/caffe)

vibe icon vibe

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

videopose3d icon videopose3d

Efficient 3D human pose estimation in video using 2D keypoint trajectories

vps-net icon vps-net

A vacant parking slot detection method in the around view image based on deep learning.

vps-net-1 icon vps-net-1

My unofficial implementation of VPS-Net : https://www.researchgate.net/publication/340614271_Vacant_Parking_Slot_Detection_in_the_Around_View_Image_Based_on_Deep_Learning , Using pytorch.

yolo-face icon yolo-face

use yolo v2 to train face detection model on CelebA dataset

yolo-fastest icon 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 icon yolov3

YOLOv3: Training and inference in PyTorch

yolov3-model-pruning icon yolov3-model-pruning

对 YOLOv3 做模型剪枝（network slimming），对于 oxford hand 数据集（因项目需要），模型剪枝后的参数量减少 80%，Infer 的速度达到原来 2 倍，mAP 基本不变

yolov3_pytorch icon yolov3_pytorch

yolov3 pytorch 版本中文教程，参考https://blog.paperspace.com/how-to-implement-a-yolo-object-detector-in-pytorch/

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