Ptorch machine learning - for anchor box and prediction box in YOLO, generate candidate areas and label candidate areas in detail
Pytoch machine learning (IX) -- anchor box and prediction box in YOLO, generating candidate regions and labeling candidate regions in detail
catalogue
Pytoch machine learning (IX) -- anchor box, prediction box, generating candidate regions and labeling candidate regions in YOLO
preface
1, Basic concepts
1. bounding box
xyx ...
Posted by rdoylelmt on Wed, 06 Oct 2021 13:01:31 -0700
Concept and implementation of IOU (Jaccard coefficient)
Jaccard Index (IoU, degree of overlap)
Jaccard Index (Jaccard coefficient), or Jaccard Overlap (Jaccard Overlap) or intersection over Union (IoU), measures the degree of overlap between the two frames. This index can reflect the proximity between the prediction frame and the real frame, which will be used in calculating loss and N ...
Posted by wispas on Wed, 06 Oct 2021 10:19:41 -0700
Deep learning_ Batch normalization
It is very difficult to train deep neural networks, especially in short practice. In this section, we will introduce batch normalization, which is a popular and effective technology to continuously accelerate the convergence speed of deep networks. After the combination, the residual will be introduced quickly, and batch normalization enables r ...
Posted by richtux on Wed, 06 Oct 2021 08:38:50 -0700
Pytoch + text CNN + word2vec movie review practice
0. Preface
reference resources: The blogger . I write my own blog to facilitate review
1. Film review data set
Dataset Download: Link: https://pan.baidu.com/s/1zultY2ODRFaW3XiQFS-36w Extraction code: mgh2 There are four files in the compressed package. Put the unzipped folder in the project directory The training data set is to ...
Posted by highphilosopher on Mon, 04 Oct 2021 13:06:59 -0700
SRCNN image super resolution reconstruction (tf2)
preface
The image with low resolution caused by enlargement and reduction is converted into an image with high resolution. More attention is paid to filling new pixels in the process of reconstructing the picture. SRCNN is also the ancestor of applying deep learning to image reconstruction. The network structure is very simple, so I deci ...
Posted by nerotic on Sun, 03 Oct 2021 19:21:01 -0700
Week 5 assignment: convolutional neural network (Part3)
1, MobileNetV1 network
Briefly read Google's 2017 paper mobilenets: efficient revolutionary neural networks for mobile vision applications to experience Depthwise convolution and Pointwise convolution. Also, read the code: https://github.com/OUCTheoryGroup/colab_demo/blob/master/202003_models/MobileNetV1_CIFAR10.ipynb type the code into Colab ...
Posted by Devsense on Sun, 03 Oct 2021 10:56:37 -0700
TI deep learning (TIDL) -- 2
1.3.4. Target file system 1.3.4.1. Firmware OpenCL firmware includes pre encapsulated DSP TIDL Library (with hard coded core) and EVE TIDL library following custom accelerator model. OpenCL firmware is downloaded to DSP and M4/EVE immediately after Linux boot:
- dra7-ipu1-fw.xem4 -> /lib/firmware/dra7-ipu1-fw.xem4.opencl-monitor
- dra7-dsp1 ...
Posted by fordyh on Sat, 02 Oct 2021 13:43:57 -0700
[natural language processing] Introduction to PyTorch (essential basic knowledge)
PyTorch Foundation
In this book, we widely use PyTorch to implement our deep learning model. PyTorch is an open source, community driven deep learning framework. Unlike Theano, Caffe and TensorFlow, PyTorch implements a "tape based automatic differentiation" method that allows us to dynamically define and execute computational gr ...
Posted by persia on Fri, 01 Oct 2021 16:39:16 -0700
IFLYTEK face key point detection competition - punch in 1
During this period, I participated in the Coggle 30 days of ML punch in and signed up for the CV competition. The competition Title address is: https://challenge.xfyun.cn/topic/info?type=key -points-of-human-face&ch=dw-sq-1 Overview of competition questions:
Face recognition is a biometric recognition technology based on human facial f ...
Posted by e_00_3 on Wed, 29 Sep 2021 17:53:47 -0700
Improvement of YOLOv5 - loss function for target detection
Improvement of YOLOv5 - loss function for target detection
flyfish
Full code download address The improved source code is fully compatible with the original YOLOv5:v5 version. At the same time, the backbone supports mobilenetv3 and shufflenetv2, and the original backbone supports all of them
Categories include relationships. For example, a t ...
Posted by born4flirt on Tue, 28 Sep 2021 02:52:14 -0700