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aodnet-by-pytorch

Image Dehaze, Pytorch, An All-in-One Network for Dehazing, AOD-Net

arbsr

[ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution

awesome-yolo-object-detection

🔥🔥🔥 A collection of some awesome YOLO object detection series projects.

cfen-vit-dehazing

cmake-examples

Useful CMake Examples

cpp-primer

C++ Primer 5 answers

cpp_primer_practice

搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。

cv_template

一个图像复原或分割的统一框架，可以用于去雾🌫、去雨🌧、去模糊、夜景🌃复原、超分辨率👾、像素级分割等等。

define_dataset_custom

getitem,len

dehaze_design

test_git_learning

dehazezoo

DehazeZoo for collecting dehazing methods, datasets, and codes.

fire-detection-image-dataset

This dataset contains normal images and images with fire. It is highly unbalanced to reciprocate real world situations. It consists of a variety of scenarios and different fire situations (intensity, luminosity, size, environment etc).

gfocal

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

gfocalv2

iics

Implementation "Intra-Inter Camera Similarity for Unsupervised Person Re-Identification" in pytorch (CVPR2021)

image-adaptive-yolo

Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions

java-books

程序员常读书单整理，附下载地址，希望对你有帮助。书单包括设计模式、计算机网络、操作系统、数据库、数据结构与算法、架构、中间件等等。本仓库持续更新中，可以star一下，下次找书直接在上面搜索

jetson-nano-fire-detection

real-time fire detection on Jetson Nano 2GB using NanoDet

learning-cmake

learning cmake

nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

probabilistic-robotics

《概率机器人》书和课后习题

psd-principled-synthetic-to-real-dehazing-guided-by-physical-priors

Zeyuan Chen, Yangchao Wang, Yang Yang and Dong Liu. "PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

pythonrobotics

Python sample codes for robotics algorithms.

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

pytorch_yolov4

手动配置实现过。

tensorrt

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

tensorrt_inference

yolo-multi-backbones-attention

Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite