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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.

Taidot: C++ -ohjelmointi, Linux, Computer Vision, Machine Learning (ML), OpenCV

Tietoa asiakkaasta:
( 0 arvostelua ) Italy

Projektin tunnus: #34035331

14 freelanceria on tarjonnut keskimäärin $224 tähän työhön

liveexperts123

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$250 USD 3 päivässä
(43 arvostelua)
7.0
hnutweblera

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$200 USD 7 päivässä
(10 arvostelua)
6.8
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$30 USD 1 päivässä
(35 arvostelua)
6.2
arturneskromnyi

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$1000 USD 7 päivässä
(4 arvostelua)
5.7
(5 arvostelua)
5.5
letsstartcoding

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$300 USD 7 päivässä
(31 arvostelua)
5.8
(6 arvostelua)
4.4
KolaPeters

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$30 USD 6 päivässä
(9 arvostelua)
4.6
soumenmurmu

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$140 USD 7 päivässä
(9 arvostelua)
3.8
tranloanhanu

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$150 USD 3 päivässä
(3 arvostelua)
2.6
karlmarkus609

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$200 USD 1 päivässä
(4 arvostelua)
2.2
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1.4
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1.9
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$130 USD 7 päivässä
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0.0