İptal Edildi

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.

Beceriler: C++ Programlama, Linux, Computer Vision, Machine Learning (ML), OpenCV

Müşteri Hakkında:
( 0 değerlendirme ) Italy

Proje NO: #34035331

Bu iş için 14 freelancer ortalamada $224 teklif veriyor

liveexperts123

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$250 USD in 3 gün içinde
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7.0
hnutweblera

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$200 USD in 7 gün içinde
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6.8
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arturneskromnyi

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5.7
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5.5
letsstartcoding

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5.8
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4.4
KolaPeters

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4.6
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3.8
tranloanhanu

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2.6
karlmarkus609

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