基于C++和Opencv的传统手势识别.zip

# Gesture-Recognition-With-HOG-and-SVM ## About 基于C++ 17和Opencv 4.5.4的传统手势识别 The project presents a simple solution for retraining and classifying images with SVM and HOG features. Currently the tranined file can detect and classify multiple hand gestures. ## Retrain #### 1. Create a directory structure Is recommended to start from the root of the cpp file, and create a directory like "data", then create under these folder directories equivalent to the classes that are needed for the classification part. Similar to below. ``` ├── data │ ├── A │ ├── C │ ├── Five │ ├── V ``` #### 2. Run code to retrain The project provides functions to generate label file, then the rest is easy. ``` int main(){ //train string traindir = "./data"; string labelfile = "./labels.txt"; string trainedfile = "./data.xml"; clTraningSetManager TSM; TSM.SaveLabelsFile(traindir, labelfile); cout << "Labelfile " << labelfile << " created, exiting."; clHogDetector HD(96); vector<string> lf = TSM.LoadLabelsFile("./labels.txt"); for (int i = 0; i < lf.size(); i += 3) { HD.AddToTrainingSet(lf[i + 2], atoi(lf[i].c_str()), lf[i + 1]); } HD.UpdateLabelNames(lf); HD.TrainSVMWithHOG(96); HD.SaveTrainingData(trainedfile); } ``` ## Resources https://github.com/fvilmos/gesture_detector /Thanks