Programmer Think

Project link: Changeable ice! Makeup migration based on paddegan 1 project background Recently, I read an article about using ai to make up for ice. The article uses SCGAN architecture, but the effect of directly using SCGN to extract makeup is not very good. The solution of the article is to cut the picture out of the face, then segme ...

preface [personal learning notes, please correct any errors] YOLO-V5 code warehouse address: https://github.com/ultralytics/yolov5 1, Conv module Before introducing each module, you need to introduce the most basic Conv module in YOLOV5. class Conv(nn.Module): def __init__(self, c1, c2, k=1, s=1, p=None, g=1, act=True): # ch_i ...

1. opecv reading and displaying images Reading and displaying images is the simplest and most basic operation in opencv. Although it can be implemented using only two simple API s, there are some small details that should be paid attention to` #include<opencv2/opencv.hpp> using namespace std; using namespace cv; int main() { Mat s ...

introduce Not long ago (in fact, for a long time), the CheXNet model for CT image detection of pneumonia was reproduced with Paddle A visual method CAM is mentioned in the paper, which can visualize the activation of the network. The example is shown in the figure below: [the external chain picture transfer fails. The source station may have ...

1. Use Opencv to read and save images 1.1 image reading The imread() and imshow() functions need to be used for Opencv reading and display. You can use Opencv to read and display the specified picture by using the following code: import cv2 as cv #Import opencv and name it cv img = cv.imread('cat.jpg',-1) #Read the specified picture cv. ...

Overview and common data sets 0. General Have basic knowledge of classification network Target detection is divided into two categories: one stage and two stage 1.Two-Stage: Faster R-CNN 1) generate candidate boxes (rpns) through special modules, find prospects and adjust bounding boxes (based on anchors) 2) further classify and adjust the ...

Chapter 52 binarization experiment based on OV5640 camera In digital image processing, binary image plays a very important role. The binarization of image greatly reduces the amount of data in the image and highlights the contour of the target. Image binarization is widely used in computer vision, image segmentation and artificial intelligence ...

catalogue 1, Overview 2, Test process 1. Parameter preparation 2. Define the model 3. Obtain necessary data 4. Input model 5. Anchor frame screening ① Screening by Object Confidence ② Get type ③ Sort by Object Confidence ④ Non maximal inhibition 6. Draw the external frame 3, Code summary 1, Overview Before training, we first t ...

I wrote the last blog in 2021 and the first blog in 2022 at 23:04 on December 31, 2021. This year's motto: if there is a heat and a light, it will make a firefly. You can also make a light in the dark. You don't have to wait for the torch. After that, if there is no torch, I will be the only light. Introduction A few days ago, I ...

Pneumothorax can be caused by blunt chest injury, damage caused by potential lung disease, or the most terrible cause - it may have no obvious cause at all. In some cases, collapse of the lungs can be life-threatening. Pneumothorax is usually diagnosed by radiologists through chest X-rays, which is sometimes difficult to confirm. An accurate ...