laborer-lab's repositories
learning-cuda-trt
A large number of cuda/tensorrt cases . 大量案例来学习cuda/tensorrt
the_silver_searcher
A code-searching tool similar to ack, but faster.
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
PCB-Component-Detection
Trying to use AI to identify pcb components
Image2schematic
Trying to extract pcb schematics from images using computer vision
Surface-Defect-Detection
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
YOLOv5-Lite
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
lite.ai.toolkit
🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.
Res2Net-PretrainedModels
(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
rexnet
Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models
tf-explain
Interpretability Methods for tf.keras models with Tensorflow 2.x
LD
知识蒸馏Localization Distillation for Dense Object Detection (CVPR 2022)
YOLOP
You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）
yolor
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
Test
答题
awesome-ai-awesomeness
所有细分AI论文代码库查询A curated list of awesome awesomeness about artificial intelligence
yolov5-lite-onnxruntime
使用ONNXRuntime部署yolov5-lite目标检测，包含C++和Python两个版本的程序
kornia
Open Source Differentiable Computer Vision Library
DALI
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
boundary-loss
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
yolov5_annotations
annotations of yolov5-5.0
makefile_tutorial_project
https://zhuanlan.zhihu.com/p/396448133
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > iOS
sampling-free
IEEE TIP: Is heuristic sampling necessary in training deep object detectors? Try sampling-free object detectors!
nb
Neural Network Blocks - Collect all kinds of fancy model blocks for you to build more powerful neural network model.