C++ object detection and recognition

It is about detection (bounding boxes) and semantic segmentation. Need to be done in C++ with CMakelists binding, Linux environment. For detection, I used the HoG feature approach and trained the SVM classifier for the purpose of finding objects and the bounding boxes around them. Some tuning is needed because the results I get on the test image are currently meaningless. Scripts for training and creating a new dataset for SVM training purposes have been created. Also, the script related to the formation of a CNN-network for segmentation with the help of transfer-learning was developed in Python. Accuracy on the validation set was high, therefore it is only necessary to import the already trained TensorFlow model in C++ and create a test script.

Skills: C++ Programming, Linux, Computer Vision, Machine Learning (ML), OpenCV

About the Client:
( 0 reviews ) Italy

Project ID: #34035331

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