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yewuya 2021-09-12 14:40:02 +08:00
parent e2aecbc985
commit 55301985ad
3 changed files with 197 additions and 10 deletions
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21
aruco 参数分析.md
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@ -44,8 +44,21 @@ source ~/.bashrc
```python
# 图像二值化
def threshold(self):
src = self.cv_read_img(self.src_file)
if src is None:
return
gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
# 这个函数的第一个参数就是原图像，原图像应该是灰度图。
# 第二个参数就是用来对像素值进行分类的阈值。
# 第三个参数就是当像素值高于（有时是小于）阈值时应该被赋予的新的像素值
# 第四个参数来决定阈值方法，见threshold_simple()
# ret, binary = cv.threshold(gray, 127, 255, cv.THRESH_BINARY)
ret, dst = cv.threshold(gray, 127, 255, cv.THRESH_BINARY | cv.THRESH_OTSU)
self.decode_and_show_dst(dst)
```
```text
```

167
matlab标定参数.md
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@ -8,14 +8,8 @@
| 0 | 6.651309839828123e+03 | 5.358189824761293e+02 | | 0 | 6.651309839828123e+03 | 5.358189824761293e+02 |
| 0 | 0 | 1 | | 0 | 0 | 1 |
## 畸变 ## 畸变
| 0 | 1 | | 0 | 1 |
| ---- | ---------------------- | | ---- | ---------------------- |
| k1 | 15.417476643365749 | | k1 | 15.417476643365749 |
@ -48,3 +42,164 @@
``` ```
## h20t-wide
### matlab相机内参
| 0 | 1 | 2 |
| --------------------- | --------------------- | --------------------- |
| 1.031702877495456e+03 | 0 | 7.218195236014553e+02 |
| 0 | 1.031973212074951e+03 | 5.237434637031985e+02 |
| 0 | 0 | 1 |
### matlab畸变
| 0 | 1 |
| ---- | ------------------ |
| k1 | 0.395601113675025 |
| k2 | 1.821800287761213 |
| p1 | -0.002359010285514 |
| p2 | 0.001310912112583 |
| k3 | 2.440065871569540 |
### matlab code
```java
if (model == Model.MATRICE_300_RTK) {
cameraMatrix = new Mat(3, 3, CvType.CV_64FC1) {
{
put(0, 0, 1.031702877495456e+03, 0, 7.218195236014553e+02);
put(1, 0, 0, 1.031973212074951e+03, 5.237434637031985e+02);
put(2, 0, 0, 0, 1);
}
};
distCoeffs = new Mat(5, 1, CvType.CV_64FC1) {
{
put(0, 0, 0.395601113675025);
put(1, 0, 1.821800287761213);
put(2, 0, -0.002359010285514);
put(3, 0, 0.001310912112583);
put(4, 0, 2.440065871569540);
}
};
}
```
### opencv相机内参
| 0 | 1 | 2 |
| -------------- | -------------- | -------------- |
| 1.03309006e+03 | 0 | 7.21136602e+02 |
| 0 | 1.03340179e+03 | 5.22873022e+02 |
| 0 | 0 | 1 |
### opencv畸变
| 0 | 1 |
| ---- | --------------- |
| k1 | 3.92926049e-01 |
| k2 | -1.79059043e+00 |
| p1 | -2.31264466e-03 |
| p2 | -1.31495457e-03 |
| k3 | 2.35399874e+00 |
### opencv code
```java
if (model == Model.MATRICE_300_RTK) {
cameraMatrix = new Mat(3, 3, CvType.CV_64FC1) {
{
put(0, 0, 1.03309006e+03, 0, 7.21136602e+02);
put(1, 0, 0, 1.03340179e+03, 5.22873022e+02);
put(2, 0, 0, 0, 1);
}
};
distCoeffs = new Mat(5, 1, CvType.CV_64FC1) {
{
put(0, 0, 3.92926049e-01);
put(1, 0, -1.79059043e+00);
put(2, 0, -2.31264466e-03);
put(3, 0, -1.31495457e-03);
put(4, 0, 2.35399874e+00);
}
};
}
```
## h20-wide
### matlab相机内参
| 0 | 1 | 2 |
| --------------------- | --------------------- | --------------------- |
| 1.044519539602912e+03 | 0 | 6.972195526483131e+02 |
| 0 | 1.044812413150267e+03 | 5.401129532084527e+02 |
| 0 | 0 | 1 |
### matlab畸变
| 0 | 1 |
| ---- | ---------------------- |
| k1 | 0.364115622764920 |
| k2 | 1.536252491565715 |
| p1 | -9.228759331583879e-04 |
| p2 | -0.001232457536218 |
| k3 | 1.892321165817003 |
### matlab code
```java
if (model == Model.MATRICE_300_RTK) {
cameraMatrix = new Mat(3, 3, CvType.CV_64FC1) {
{
put(0, 0, 1.044519539602912e+03, 0, 6.972195526483131e+02);
put(1, 0, 0, 1.044812413150267e+03, 5.401129532084527e+02);
put(2, 0, 0, 0, 1);
}
};
distCoeffs = new Mat(5, 1, CvType.CV_64FC1) {
{
put(0, 0, 0.364115622764920);
put(1, 0, 1.536252491565715);
put(2, 0, -9.228759331583879e-04);
put(3, 0, -0.001232457536218);
put(4, 0, 1.892321165817003);
}
};
}
```
### opencv相机内参
| 0 | 1 | 2 |
| -------------- | -------------- | -------------- |
| 1.04447865e+03 | 0 | 6.96263376e+02 |
| 0 | 1.04474733e+03 | 5.39167804e+02 |
| 0 | 0 | 1 |
### opencv畸变
| 0 | 1 |
| ---- | --------------- |
| k1 | 3.63236533e-01 |
| k2 | -1.53128654e+00 |
| p1 | -9.46646880e-04 |
| p2 | -1.18548317e-03 |
| k3 | 1.88324325e+00 |
### opencv code
```java
if (model == Model.MATRICE_300_RTK) {
cameraMatrix = new Mat(3, 3, CvType.CV_64FC1) {
{
put(0, 0, 1.03309006e+03, 0, 7.21136602e+02);
put(1, 0, 0, 1.03340179e+03, 5.22873022e+02);
put(2, 0, 0, 0, 1);
}
};
distCoeffs = new Mat(5, 1, CvType.CV_64FC1) {
{
put(0, 0, 3.63236533e-01);
put(1, 0, -1.53128654e+00);
put(2, 0, -9.46646880e-04);
put(3, 0, -1.18548317e-03);
put(4, 0, 1.88324325e+00);
}
};
}
```

19
远程桌面.md Normal file
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@ -0,0 +1,19 @@
# 远程桌面
## rustdesk
| 项目 | 公司电脑 | 家里电脑 | UWB 电脑 |
| ---- | ---------- | -------- | -------- |
| id | 29 078 604 | | |
| 密码 | wujinhui | | |
| | | | |
## 向日葵
| 项目 | 公司电脑 | 家里电脑 | UWB 电脑 |
| ---- | ---------- | -------- | -------- |
| id |496 782 610 | | |
| 密码 | wujinhui | | |
| | | | |