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Use resnet34 structure, identify wavelet in ECG. (采用resnet34架构,识别ECG(心电图)中的波形)
我们基于Xilinx PYNQ-Z2的强大图像处理能力,设计了一款低成本高性能,硬件可灵活配置,处理速度强大的远端现场微缺陷检测设备。Xilinx已内嵌入OpenCV 库,包含有50多项硬件优化的OpenCV 功能,包括Gausian、 Median、Bilateral、Harris corner、Canny edge、Canny edge detection等。我们首先对图像进行灰度处理,运用边缘检测算法对图像进行二次处理,找出图像边缘的突变点,针对标准产品图像对照滤波,即可以找出工业品的缺陷点。我们重点运用Canny等图像边缘算法及图像凸性检测函数处理出工业产品线图,综合运用比较其优缺点,进行腐蚀、膨胀、层次化和边缘处理的手段找出细小的缺陷,充分运用FPGA并行处理图像的强大计算能力,在远端进行即时处理和显示。
Models and examples built with TensorFlow
ORL人脸识别不同算法的实现,用到了scikit-learn,tensorflow等,任选5张训练,5张测试。因为每次训练随机挑选,所以每次输出识别率有偏差 算法 识别率 bp神经网络 0.8 pca+bp神经网络 0.85 小波变换+pca+bp神经网络 0.95 CNN 0.98 小波变换+pca+SVM 0.98####同时希望大家提出宝贵意见,欢迎学习交流,如果你喜欢该项目,请star或者fork一下,你的主动将是我前行的动力####
python 连接plc
:punch: Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking :smile: etc.
tensorflow GoogleNet inception V1 V2 V3 V4
yolov5 deepsort 行人 车辆 跟踪 检测 计数
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