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content/computer_sci/code_frame_learn/MOC.md

@@ -16,4 +16,8 @@ date: 2023-12-03
 
 # Doc Framework
 
-* [Latex](computer_sci/code_frame_learn/doc/latex/MOC.md)
+* [Latex](computer_sci/code_frame_learn/doc/latex/MOC.md)
+
+# CV About Framework
+
+* [Pillow](computer_sci/code_frame_learn/cv/pillow/pillow_moc.md)

content/computer_sci/code_frame_learn/cv/pillow/font_getsize.md

@@ -0,0 +1,34 @@
+---
+title: font.getsize()
+tags:
+  - cv
+  - python
+  - PIL
+date: 2024-12-06
+---
+
+# Detail
+
+Exact size depends on many factors. I'll just show you how to calculate different metrics of font.
+
+[![](https://i.sstatic.net/gSBad.png)](https://i.sstatic.net/gSBad.png)
+
+```python
+font = ImageFont.truetype('arial.ttf', font_size)
+ascent, descent = font.getmetrics()
+(width, baseline), (offset_x, offset_y) = font.font.getsize(text)
+```
+
+- Height of red area: `offset_y`
+- Height of green area: `ascent - offset_y`
+- Height of blue area: `descent`
+- Black rectangle: `font.getmask(text).getbbox()`
+
+
+# Application Example
+
+
+
+# Reference
+
+* https://stackoverflow.com/questions/43060479/how-to-get-the-font-pixel-height-using-pils-imagefont-class

content/computer_sci/code_frame_learn/cv/pillow/pillow_moc.md

@@ -0,0 +1,12 @@
+---
+title: Pillow - MOC
+tags:
+  - cv
+  - "#PIL"
+  - MOC
+  - python
+date: 2024-06-12
+---
+# Font
+
+* [font.getsize()](computer_sci/code_frame_learn/cv/pillow/font_getsize.md)

content/computer_sci/code_frame_learn/data/streamlit/MOC.md

@@ -6,6 +6,11 @@ tags:
   - data-visual
 date: 2024-05-24
 ---
+
+# Example
+
+[My Streamlit Work List](computer_sci/code_frame_learn/data/streamlit/mywork_list.md)
+
 # Reference
 
 * https://streamlit.io/

content/computer_sci/code_frame_learn/data/streamlit/mywork_list.md

@@ -0,0 +1,13 @@
+---
+title: My Streamlit Work List
+tags:
+  - advanced
+  - work
+  - list
+date: 2024-06-14
+---
+# My Streamlit Work List
+
+
+* [https://final-score-true-sight.streamlit.app/](https://final-score-true-sight.streamlit.app/)
+* [https://univariate-distribution.streamlit.app/](https://univariate-distribution.streamlit.app/)

content/computer_sci/deep_learning_and_machine_learning/LLM/LLM_MOC.md

@@ -24,3 +24,8 @@ How to evaluate a LLM performance?
 # Basic
 
 * [LLM Hyperparameter](computer_sci/deep_learning_and_machine_learning/LLM/basic/llm_hyperparameter.md)
+
+
+# Related Technologies
+
+

content/computer_sci/deep_learning_and_machine_learning/LLM/rag/basic.md

@@ -0,0 +1,9 @@
+---
+title: What's RAG?
+tags:
+  - LLM
+date: 2024-06-12
+---
+# Reference
+
+* https://arxiv.org/abs/2312.10997

content/math/Statistics/basic_concepot/distribution/students_t_distribution.md

@@ -0,0 +1,23 @@
+---
+title: Student's t-Distribution
+tags:
+  - basic
+  - math
+  - distribution
+  - statistics
+date: 2024-06-05
+---
+# Background
+
+
+为什么这个分布被叫做Student's t-Distribution，是因为作者William Gosset在1908年以化名名义‘Student’发布。
+
+t-Distribution在概率论及统计学中用于根据小样本量来估计总体呈现正态分布切标准差未知的期望。
+
+从样子上讲，Student’s T Distribution的样子很像Normal Distribution，但有着一个fat tails。
+
+
+
+# Reference
+
+* https://www.youtube.com/watch?v=32CuxWdOlow

content/research_career/bladder_phantom.md

@@ -0,0 +1,5 @@
+---
+title: Bladder Phantom
+tags:
+  - phantom
+---

content/signal/signal_processing/basic_knowledge/FT/fourier_transform.md

@@ -235,4 +235,5 @@ The unilateral or one-sided z-transform is very useful because we mostly deal wi
 * [傅里叶系列（一）傅里叶级数的推导](https://zhuanlan.zhihu.com/p/41455378)
 * [The Discrete Fourier Transform (DFT)](https://www.youtube.com/watch?v=nl9TZanwbBk)
 * [The Fast Fourier Transform (FFT): Most Ingenious Algorithm Ever?](https://www.youtube.com/watch?v=h7apO7q16V0)
-* [Euler’s formula](https://www.notion.so/Euler-s-formula-d8e4462d5cda4e09a4ca4fcda7cd1392?pvs=21)
+* [Euler’s formula](https://www.notion.so/Euler-s-formula-d8e4462d5cda4e09a4ca4fcda7cd1392?pvs=21)
+* https://www.andreinc.net/2024/04/24/from-the-circle-to-epicycles