Run TensorFlow models in C++ without installation and without Bazel
一个执着于让CPU\端侧-Model逼近GPU-Model性能的项目，CPU上的实时率(RTF)小于0.1
Build Tensorflow C++ API, load a SavedModel and serve predictions
combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems
Guide for building TensorFlow C++ API
About object detection(mobileNet-ssd) tensorflow/language:c++
PRNet inference stage in C++11/14
Compile Tensorflow C++ without Bazel, You could create a C++ Tensorflow project in your favorite C++ IDEs and build it with Makefile or CMake and you will need to do some extra work to allow gcc to be able to compile successfully C++ Tensorflow codes. So you don't have to compile with bazel! It also approachs a method that Import OpenCV Mat into…
C++ example applications for deploying deep learning models using frameworks like PyTorch, Tensorflow, ONNX, NCNN.
C++ example applications for deploying deep learning models using frameworks like PyTorch, Tensorflow, ONNX, NCNN.
Simple breakout game with DQN agent which learn how to play it.
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