ttanzhiqiang's repositories
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
Detectron2_Project
Detectron2 Libtorch C++ faster rcnn
onnx-tensorrt_7.2.1
tensorrt-onnx build window
Detectron2_CenterNetv2
Detectron2 Libtorch C++ centernetv2
FaceRecognition-tensorflow
360度人脸识别
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
plantsVS.zombies
cocos2d的植物大战僵尸
CrossStagePartialNetworks
Cross Stage Partial Networks
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scutjy2015@163.com 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.
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
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
toolbox
various tools such as label-tools , data-augmentation , etc.
TRTorch
PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT
yolo-tensorrt
darknet -> tensorrt. YoloV4 YoloV3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.