laborer-lab's repositories
EasyCV
An all-in-one toolkit for computer vision
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
PINTO_model_zoo
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
solo-learn
自监督solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
TensorRT-For-YOLO-Series
tensorrt for yolo series (YOLOv8, YOLOv7, YOLOv6....), nms plugin support
dino-1
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
sahi
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
vissl
自监督VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
awesome-detection-transformer
Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)
DETReg
只是使用了无监督预训练模型Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".
AdelaiDet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
awesome-DeepLearning
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
onnx-modifier
A tool to modify onnx models in a visualization fashion, based on Netron and Flask.
detr
End-to-End Object Detection with Transformers
DiffusionDet
PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)
DN-DETR
[CVPR 2022 Oral]Official implementation of DN-DETR
neural-compressor
Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.
image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.有知识蒸馏
YOLOU
YOLOv3、YOLOv4、YOLOv5、YOLOv5-Lite、YOLOv6-v1、YOLOv6-v2、YOLOv7、YOLOX、YOLOX-Lite、PP-YOLOE、PP-PicoDet-Plus、YOLO-Fastest v2、FastestDet、YOLOv5-SPD、TensorRT、NCNN、Tengine、OpenVINO
PSAD
A Comprehensive Real-World Photometric Stereo Dataset for Unsupervised Anomaly Detection
segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
DINO
Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
yolov7_d2
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
computer-vision-in-action
学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
Saliency-detection-toolbox
This is a Saliency detection toolbox Specially designed for surface defect detection.
CppMaster
C++ Master Learning Roadmap, especially for AIoT and C++ advanced SWE
GGHL-Deployment
旋转框检测的推理与计算
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes