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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.

Compétences : Programmation C++, Linux, Computer Vision, Machine Learning (ML), OpenCV

Concernant le client :
( 0 commentaires ) Italy

Nº du projet : #34035331

14 freelances font une offre moyenne de 224 $ pour ce travail

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7.0
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6.8
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5.7
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5.5
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5.8
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4.4
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4.6
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3.8
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