# 定义数据集路径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) ...
labels # 数据增强 transform = transforms.Compose([ transforms.Resize((640, 640)), transforms.ToTensor(), ]) # 创建数据集 dataset = PCBDefectDataset(image_dir='PCBDefectDataset/images/', label_dir='PCBDefectDataset/labels/', transform=transform) data_loader = DataLoader(dataset, batch_size=4...
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:/...
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 ...
The defects in the PCB images were labeled using the LabelImg tool and stored in the Pascal VOC dataset format. The dataset was then divided into a training set and a test set in an 8:2 ratio. Figure 6 displays images of defects in the PCB Defect dataset. The red boxed areas indicate...
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...
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....
ordertosolvetheproblemoflackofsampledata,thispaperproducesitsownPCBdefect dataset,whichisusedtoincreasethenumberofdetectionsamples.Inordertosolvethe problemsofleakage,misdetection,modelprecisionandsizebalance,thispaperproposesan improvedPCBdefectdetectionmodelbasedonYOLOv5,whichreducesthecomputational volumeoftheoriginal...
The experimental results show that the method achieves 98.3% mAP on the PCB defect dataset, the detection speed is 128 frames per second (FPS), the parameters is 5.8 M, and the giga floating-point operations per second (GFLOPs) is 12.6 G. Compared with the existing methods, th...