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c-c-

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chineseocr_lite

超轻量级中文ocr，支持竖排文字识别, 支持ncnn推理 , dbnet(1.7M) + crnn(6.3M) + anglenet(1.5M) 总模型仅10M

cocopie-modelzoo

crossstagepartialnetworks

Cross Stage Partial Networks

cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningexamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

detectron2_centernetv2

Detectron2 Libtorch C++ centernetv2

detectron2_project

Detectron2 Libtorch C++ faster rcnn

facerecognition-tensorflow

360度人脸识别

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

onnx-tensorrt_7.2.1

tensorrt-onnx build window

onnx_tensorrt_project

Support Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

plantsvs.zombies

cocos2d的植物大战僵尸

rle_blob

RLE(run-length encoding) vs halcon vs opencv

tensorrt

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

toolbox

various tools such as label-tools , data-augmentation , etc.

torch2trt

An easy to use PyTorch to TensorRT converter

trtorch

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

wenet-online-decoder-onnx

yolo-tensorrt

darknet -> tensorrt. YoloV4 YoloV3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.