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OpenCV program that can recognize objects.

$10-30 USD

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Posted over 7 years ago

$10-30 USD

Paid on delivery
The CIFAR-10 and CIFAR-100 are labeled subsets of the 80 million tiny images dataset by MIT. They were collected by AlexKrizhevsky, Vinod Nair, and Geoffrey Hinton. Write an OpenCV program that trains on CIFAR-10 training set and classifies the objects in its test set with the highest accuracy you can obtain. You are free to choose any feature and classifier you prefer. (SIFT, HoG, etc) / (kNN, SVM, CNN, etc). C++ should be the programming language and it should be created as Microsoft Visual Studio 2015 Project. Detailed document has been given before starting to work.
Project ID: 12747478

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3 proposals
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Active 7 yrs ago

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3 freelancers are bidding on average $175 USD for this job
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-Dear sir. I have just read your job posting and become very excited. I think your idea is very good. Your project can be completely done by OpenCV and I have rich experience on OpenCV. Your first step "Webcam calibration" can be done by OpenCV easily. And in "Projector calibration" step, I think you can get conversion matrix on two ways. First, by simply detecting four border points in checkerboard, conversion matrix can be obtained directly. And second, from all crosspoint in checkerboard and corresponding points, conversion matrix can be obtained by using RANSAC algorithm. These functions are all in OpenCV. So I think if you hire me, I 'll completely satisfy you in a week. I'll wait for your reply. Best regards.
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******************Excellent Result********************* Hello! I read your description carefully. I am really interested in your project as a Computer Vision Expert. I have worked in C, C++, C#, OpenCV, Pattern Recognition, Image processing, Video Processing, Object detection and tracking, OCR, ANPR, Business Card Reader, Receipt reader, Invoice Reader, PDF converter and so on. I am really eager to join in your project because I have rich experiences in those fields. Please feel free to discuss with me. Looking forward to your positive response. Best Regards Zhangshan
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