class PCBDefectDataset(Dataset): def __init__(self, image_dir, label_dir, transform=None): self.image_dir = image_dir self.label_dir = label_dir self.transform = transform self.image_files = [f for f in os.listdir(image_dir) if f.endswith('.jpg')] ...
dataset_path = 'PCB_Defect_Detection_Dataset' # 加载整体标注的图像和标注 def load_full_boards(folder): images_folder = os.path.join(dataset_path, 'full_boards', 'images', folder) annotations_folder = os.path.join(dataset_path, 'full_boards', 'annotations', folder) dataset = [] for ...
Common PCB defects: https://blog.matric.com/7-types-of-pcb-soldering-defects-to-watch-out-for PCB Defect Dataset Paper: https://arxiv.org/abs/1902.06197 PCB Defect Dataset: https://github.com/tangsanli5201/DeepPCB MMDetection: https://github.com/open-mmlab/mmdetection YOLOX Paper: https:/...
dataset,whichisusedtoincreasethenumberofdetectionsamples.Inordertosolvethe problemsofleakage,misdetection,modelprecisionandsizebalance,thispaperproposesan improvedPCBdefectdetectionmodelbasedonYOLOv5,whichreducesthecomputational volumeoftheoriginalmodelunderthepremiseofguaranteeingthemodelsaccuracyforPCB defectdetection,and...
DeepPCBA PCB Defect Dataset是一个专门用于电子电路板(PCB)缺陷检测和分析的深度学习开源数据集。它包含大量高分辨率的PCB图像,涵盖多种类型的缺陷,如线路断裂、焊锡不良、元器件缺失等。通过这些标注详细的图像,研究人员可以训练和测试图像处理和计算机视觉模型,以实现自动化PCB缺陷检测,提高生产效率并减少质量问题。该...
A novel group pyramid pooling module is proposed to efficiently extract features of a large range of resolutions, which are merged by group to predict PCB defect of corresponding scales. To train the deep model, a dataset is established, namely DeepPCB, which contains 1,500 image pairs with ...
DeepPCB: a dataset contains 1,500 image pairs, each of which consists of a defect-free template image and an aligned tested image with annotations including positions of 6 most common types of PCB defects: open, short, mousebite, spur, pin hole and spurious copper. Dataset Description Image...
The experiment utilised the PCB Defect dataset, released by the Intelligent Robot Open Laboratory of Peking University (http://robotics.pkusz.edu.cn/resources/dataset/). The dataset comprises 693 images of PCB defects, which were cropped to produce 10,668 images. The dataset consists of 10,668...
A PCB defect dataset. Contribute to tangsanli5201/DeepPCB development by creating an account on GitHub.
on the PCB defect dataset demonstrate that AP of FSPDD outperforms state-of-the-art methods under different shot settings (k=1,2,3,5,10,30) and our proposed FSPDD has a good generalization ability, in which AP reachs 0.273 whenk=30and is 5.28% higher than SOTA methods....