Printed circuit boards classification
$400-500 USD
Dibayar semasa penghantaran
The project needs to compare reference and real images. (Deep pcb dataset is available online for testing) The code needs to classify each defect in a pcb image and return the results for pcb inspection. Recommended to work on faster rcnn with resnet 50 backbone. Real images taken from a live cam and converted to gray scale can be slightly inclined from the reference image so developer needs to pay attention to this.
ID Projek: #37060004
Tentang projek
34 pekerja bebas membida secara purata $437 untuk pekerjaan ini
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I have read project requirements to compare reference and real images. (Deep pcb dataset is available online for testing) The code needs to classify each defect in a pcb image and return the results for pcb inspection Lagi
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