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Actual combat PP tinypose + picodet: application of new intelligent body measurement mode Introduction to PP tinypose PP tinypose is a real-time attitude detection model optimized by paddedetection for mobile devices, which can smoothly perform multi person attitude estimation tasks on mobile devices. Excellent lightweight detection model d ...

Welcome to my GitHub Here we classify and summarize all the original works of Xinchen (including supporting source code): https://github.com/zq2599/blog_demos About face recognition This paper is the first article in the "JavaCV face recognition Trilogy" JavaCV camera practice 8: face detection In this paper, we detect the fa ...

Time: 2021 / 08 / 29 / 05:45:28 It's been a night. I can't believe I'm not sleepy and have the impulse to organize my blog. Just this week, the ability to stay up late suddenly broke through in the absence of a home for several nights. After one night, there is a world of difference. I can stay up night by night. Before, I was worried about my ...

SAR Target Classification Based on full convolution network 1. MSTAR dataset expansion In the original SAR image (128) × 128) random clipping 88 × 88 slices, each slice can contain the target area, and the number of samples can reach (128-88 + 1) after random sampling × (128-88 + 1) = 1681 times, each SAR image of each c ...

brief introduction   with the gradual deepening of research, I learned that loading the pytorch training model with libtorch is actually a very tortuous method. It can indeed meet our needs, but it may not be the best method. Now the more common model format is ONNX model, so I wonder if I can use this general model to solve the problem? ...

When doing target detection, I personally prefer VOC format data sets, so when encountering COCO format data sets, I am used to converting them to VOC and then processing them. Let's first look at the conversion from coco format to voc format Only the path and the jsonFileName list need to be modified, which have been clearly marked with comme ...

preface This paper is mainly from torch jit. Trace interface, open the door of Python JIT, and introduce it in normal NN The process of module forming scriptModule after trace and the C + + classes involved. Because there are a lot of contents involved, here are some relatively important classes from the perspective of source code or that ...

The three neural networks described above are "series", just the continuous stacking of convolution layers, and the structure is relatively simple. The next two blogs will introduce the "parallel" structure in GoogLeNet and ResNet, which are also the last two neural networks to be introduced before officially entering the ta ...

PyTorch learning -- handwritten numeral recognition    MNIST dataset, which contains 70000 28 × 28 handwritten numeral data set, which is divided into 60000 training samples and 10000 test samples. Ⅰ. data reader import torch from torch import nn from torch import optim from torch.nn.parameter import Parameter import ...

Tensorflow learning (using jupyter notebook) preface   as an important research field rising in recent years, deep learning has been applied in many fields. In the next few years, the heat of in-depth learning will continue to be hot. 1, Relationship between tensorflow and keras   TensorFlow and Keras are frameworks that ...