Color fundus images are now widely used in computer-aided analysis systems for ophthalmic diseases. However, imaging can be affected by human, environmental, and equipment factors, which may result low-quality images. Such quality will interfere with diagnosis. Existing methods enhancing focus more on the overall visualization of image rather than capturing pathological structural features at f...

To monitor product quality in the production process real time, this thesis proposes a monitoring model based on PaddlePaddle You Only Look Once (PP-YOLO). First, preprocessing stage, data enhancement method and K-means++ are used to improve robustness of algorithm, generated anchor box can screen more refined features earlier. Second, ResNet50-vd with deformable convolution idea is selected as...