+
+```
+
+## Writing
+
+Then, in your Markdown article, add the following in your frontmatter:
+```yaml
+---
+pseudocode: true
+---
+```
+
+And write your pseudocode, using the `algorithmic` $\LaTeX$ syntax.
+
+````markdown
+
+ \begin{algorithmic}
+ \PRINT \texttt{'hello world'}
+ \end{algorithmic}
+
+
+````
+Which willl be rendered as:
+
+ \begin{algorithmic}
+ \PRINT \texttt{'hello world'}
+ \end{algorithmic}
+
+
+
+## References
+
+- `pseudocode.js`
+- Mathematics in Markdown (Hugo documentation)
\ No newline at end of file
diff --git a/content/posts/cameratraps/camera-traps-PiCameraTrap.fr.md b/content/posts/cameratraps/camera-traps-PiCameraTrap.fr.md
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--- /dev/null
+++ b/content/posts/cameratraps/camera-traps-PiCameraTrap.fr.md
@@ -0,0 +1,23 @@
+---
+title: 'Piège Photo Raspberry Pi avec Motion'
+slug: 'piege-photo-raspberry-pi-motion'
+date: 2022-10-04T22:14:23+02:00
+lang: fr
+---
+
+Après avoir réalisé un piège photo avec un caméra déclenchée par un détecteur de mouvement infrarouge et Arduino, j'ai eu envie d'essayer de faire le même type de système avec un Raspberry Pi.
+
+L'avantage de Raspberry Pi est que c'est un vrai ordinateur (pas un simple microcontrolleur comme l'ATMega de l'Arduino). De ce fait il a une plus grande capacité de calculs, et on peut se passer du PIR sensor en utilisant de l'analyse d'image pour détecter le mouvement.
+
+J'ai donc utilisé le logiciel [Motion](https://motion-project.github.io/), qui permet de détecter le mouvement dans une vidéo, et de déclencher une action (ici la prise de vue).
+
+## Matériel
+
+- Raspberry Pi;
+- Alimentation pour Raspberry Pi;
+- Batterie externe USB (optionnel, utile pour obtenir un piège photo autonome);
+- Caméra Raspberry Pi (avec sa nâpe de câblage), ou une caméra USB;
+- Carte SD (avec assez de stockage pour les photos et l'OS);
+- Une boîte (étanche de préférence).
+
+
diff --git a/content/posts/cameratraps/camera-traps-arduino.en.fr.md b/content/posts/cameratraps/camera-traps-arduino.en.fr.md
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+---
+title: 'Piège Photo Arduino'
+slug: 'piege-photo-arduino'
+date: 2022-09-18T18:15:49+02:00
+lang: fr
+---
+
+Il y a maintenant quelques années, j'ai eu l'occasion de créer un piège photo basé sur une carte Arduino. Ce projet avait pour but de capturer des photos d'animaux sauvages, et de m'amuser un peu en électronique et programmation.
+
+À l'époque, j'avais réalisé un site web en html, pour présenter le projet; mais je ne retrouve plus le code source... C'est con.
+
+Je vais tout de même essayer de présenter ce vieux projet, à nouveau, en espérant que cela puisse intéresser quelqu'un.
+
+## Principe
+
+Une caméra automatique du commerce se base généralement sur un détecteur de chaleur (capteur infrarouge), et prends des images au moment où celui-ci détecte un mouvement.
+
+Ces détecteur sont similaires aux détecteurs de présence qu'on peut trouver dans des toilettes publiques, par exemple.
+
+Le projet consiste donc simplement à utiliser un détecteur de mouvement infrarouge (PIR sensor) pour déclencher la prise de vue, réalisée par une caméra numérique.
+
+L'interface entre la caméra et le détecteur est la carte Arduino (dans mon cas une Arduino UNO).
+
+## Matériel
+
+- Arduino UNO (ou autre carte programmable, avec des entrées/sorties)
+- Détecteur infrarouge (PIR sensor)
+- Spy Camera (ici une Spy Camera AdaFruit) avec slot pour carte SD, est des connecteurs pour le trigger (déclenchement) et l'alimentation
+- Carte SD
+- Shield RTC pour Arduino (optionel mais utile pour enregistrer la date et l'heure des prises de vue)
+- Un peu de câble
+
+## Montage
+
+Le montage est très simple: il suffit de brancher le détecteur infrarouge sur l'Arduino, avec la pin analogique du PIR sensor, sur un port analogique de l'Arduino. Il faut aussi brancher le port trigger de la caméra sur une des pins de l'Arduino, de même que pour l'alimentation.
+
+Attention: il ne faut surtout pas brancher la caméra sur son alimentation (câble USB) en même temps que sur l'Arduino; car sinon, votre caméra cramme (c'est du vécu 😢).
+
+
+
+## Code
+
+Le code est assez simple. Il suffit, dans la function loop, de vérifier l'état du détecteur de mouvement. Si celui-ci est actif, alors on déclenche la prise de vue (et on peux aussi enregistrer la date et l'heure de la prise de vue, dans le shield RTC).
+
+```ino
+/*
+ * piege_photographique.ino
+ * Take a photo when motion is detected
+ * and record the date of shooting on SD card
+ * Samuel ORTION feb2019
+ */
+
+#include
+#include
+#include //required for the next library
+#include "RTClib.h"
+
+File myFile;
+RTC_Millis rtc;
+
+//declare the pins of the compenents:
+#define pirPin 3//The PIR motion sensor
+#define trigCamera 4//The camera's trigger
+
+
+int photoNumber;
+
+/*
+* Functions:
+*/
+void photo(){//function for shooting pictures
+// "Hold HIGH and trigger quick (<250ms) LOW to take a photo."
+digitalWrite(trigCamera, LOW);
+delay(50);
+digitalWrite(trigCamera, HIGH);
+}
+
+void printDate (){
+ DateTime now = rtc.now(); //define "now" as object containing the date produced by the RTC
+ //the following instruction print the date on the SerialMonitor
+ myFile.print("Photo n°");
+ myFile.print(photoNumber);
+ myFile.print(" : ");
+ myFile.print(now.day(), DEC);
+ myFile.print('/');
+ myFile.print(now.month(), DEC);
+ myFile.print('/');
+ myFile.print(now.year(), DEC);
+ myFile.print('/');
+ myFile.print(now.hour(), DEC);
+ myFile.print(':');
+ myFile.print(now.minute(), DEC);
+ myFile.print(':');
+ myFile.print(now.second(), DEC);
+ myFile.println();//skip a line
+}
+
+void setup() {
+ //define pinMode:
+ pinMode(pirPin, INPUT);
+ pinMode(trigCamera, OUTPUT);
+ digitalWrite(trigCamera, HIGH);
+
+ //following line sets the RTC to the date & time this sketch was compiled
+ rtc.begin(DateTime(F(__DATE__), F(__TIME__)));
+ // This line sets the RTC with an explicit date & time, for example to set
+ // January 21, 2014 at 3am you would call:
+ // rtc.adjust(DateTime(2014, 1, 21, 3, 0, 0));
+
+ photoNumber = 0;//initialization of the number of pictures
+
+ if(!SD.begin(10)){
+ while (1);
+ }
+}
+
+void loop() {
+ myFile = SD.open("TIMEDATA.txt", FILE_WRITE);//open the file "TIMEDATA" to write in it
+ if(digitalRead(pirPin)){//if motion is detected:
+ photo();//camera takes a photograph
+ photoNumber++;//a new picture has been taken
+ printDate();//write the date of shooting on SD card
+ delay(1000);//pause between each photo
+ }
+ myFile.close();// close the file after editing
+}
+```
+
+
+## Résultats
+
+J'ai eu la chance, cette année là d'avoir une famille de mésange charbonières qui a fait son nid dans un nichoir que j'avais installé à la maison.
+
+Voici deux images prise par le piège photo Arduino, à l'occasion:
+
+
+
+
\ No newline at end of file
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+---
+title: 'Arduino Camera Trap'
+slug: 'arduino-camera-trap'
+date: 2022-09-18T18:15:49+02:00
+lang: en
+category: camera-trap
+---
+
+Some years ago, I had the opportunity to create a camera trap based on an Arduino board. The goal of this project was to capture photos of wild animals, and to have fun with electronics and programming.
+
+At the time, I created a website in html, to present the project; but I can't find the source code anymore... That's a shame.
+
+I will try to present this old project again, hoping that it may interest someone.
+
+## Principle
+
+A commercial automatic camera is usually based on a heat sensor (infrared sensor), and takes pictures when it detects movement.
+
+These sensors are similar to the presence detectors that can be found in public toilets, for example.
+
+The project consists simply in using an infrared motion detector (PIR sensor) to trigger the shooting, performed by a digital camera.
+
+The interface between the camera and the sensor is the Arduino board (in my case an Arduino UNO).
+
+## Hardware
+
+- Arduino UNO (or other programmable board, with inputs / outputs)
+- Infrared sensor (PIR sensor)
+- Spy Camera (here an AdaFruit Spy Camera) with slot for SD card, and connectors for the trigger and the power supply
+- SD card
+- RTC shield for Arduino (optional but useful to record the date and time of the shots)
+
+## Assembly
+
+The assembly is very simple. The PIR sensor output is connected on the pin 3 of the Arduino board, where the VCC (+5V) et GND (ground) are also connected to the board.
+
+The camera trigger is connected to the pin 4 of the Arduino board, and both the VCC and GND are connected to the board as well.
+
+We can use a 9V battery to power the Arduino board, and the camera, with an adapter. (This way, the system can be autonomous for some hours).
+
+Warning, it is important not to connnect the spy cammera to the computer when it's powered by the Arduino; else it will burn... (I made this mistake, and I had to buy a new camera).
+
+
+
+## Code
+
+The code is rather simple. In the loop function, we check the state of the PIR sensor, and if it is HIGH, we trigger the camera.
+
+We also save the date and time of shooting in the RTC shield SD card.
+
+```ino
+/*
+ * piege_photographique.ino
+ * Take a photo when motion is detected
+ * and record the date of shooting on SD card
+ * Samuel ORTION feb2019
+ */
+
+#include
+#include
+#include //required for the next library
+#include "RTClib.h"
+
+File myFile;
+RTC_Millis rtc;
+
+//declare the pins of the compenents:
+#define pirPin 3//The PIR motion sensor
+#define trigCamera 4//The camera's trigger
+
+
+int photoNumber;
+
+/*
+* Functions:
+*/
+void photo(){//function for shooting pictures
+// "Hold HIGH and trigger quick (<250ms) LOW to take a photo."
+digitalWrite(trigCamera, LOW);
+delay(50);
+digitalWrite(trigCamera, HIGH);
+}
+
+void printDate (){
+ DateTime now = rtc.now(); //define "now" as object containing the date produced by the RTC
+ //the following instruction print the date on the SerialMonitor
+ myFile.print("Photo n°");
+ myFile.print(photoNumber);
+ myFile.print(" : ");
+ myFile.print(now.day(), DEC);
+ myFile.print('/');
+ myFile.print(now.month(), DEC);
+ myFile.print('/');
+ myFile.print(now.year(), DEC);
+ myFile.print('/');
+ myFile.print(now.hour(), DEC);
+ myFile.print(':');
+ myFile.print(now.minute(), DEC);
+ myFile.print(':');
+ myFile.print(now.second(), DEC);
+ myFile.println();//skip a line
+}
+
+void setup() {
+ //define pinMode:
+ pinMode(pirPin, INPUT);
+ pinMode(trigCamera, OUTPUT);
+ digitalWrite(trigCamera, HIGH);
+
+ //following line sets the RTC to the date & time this sketch was compiled
+ rtc.begin(DateTime(F(__DATE__), F(__TIME__)));
+ // This line sets the RTC with an explicit date & time, for example to set
+ // January 21, 2014 at 3am you would call:
+ // rtc.adjust(DateTime(2014, 1, 21, 3, 0, 0));
+
+ photoNumber = 0;//initialization of the number of pictures
+
+ if(!SD.begin(10)){
+ while (1);
+ }
+}
+
+void loop() {
+ myFile = SD.open("TIMEDATA.txt", FILE_WRITE);//open the file "TIMEDATA" to write in it
+ if(digitalRead(pirPin)){//if motion is detected:
+ photo();//camera takes a photograph
+ photoNumber++;//a new picture has been taken
+ printDate();//write the date of shooting on SD card
+ delay(1000);//pause between each photo
+ }
+ myFile.close();// close the file after editing
+}
+```
+
+## Results
+
+I had the change to have a family of great tit, that were in a birdhouse I made.
+
+Here are two images taken by the Arduino Camera Trap.
+
+
+
+
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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "gd-vX3cavOCt"
+ },
+ "source": [
+ "# **Stable Diffusion** 🎨 \n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "cellView": "form",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "aIrgth7sqFML",
+ "outputId": "b779f7d1-b752-433b-c763-d56389791ec1"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
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+ "Successfully installed diffusers-0.3.0 huggingface-hub-0.10.0\n",
+ "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
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+ "Requirement already satisfied: jsonschema>=2.6 in /usr/local/lib/python3.7/dist-packages (from nbformat->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8,>=7) (4.3.3)\n",
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+ "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.7/dist-packages (from jsonschema>=2.6->nbformat->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8,>=7) (0.18.1)\n",
+ "Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.7/dist-packages (from jsonschema>=2.6->nbformat->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8,>=7) (22.1.0)\n",
+ "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from jsonschema>=2.6->nbformat->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8,>=7) (4.12.0)\n",
+ "Requirement already satisfied: importlib-resources>=1.4.0 in /usr/local/lib/python3.7/dist-packages (from jsonschema>=2.6->nbformat->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8,>=7) (5.9.0)\n",
+ "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from jsonschema>=2.6->nbformat->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8,>=7) (4.1.1)\n",
+ "Requirement already satisfied: zipp>=3.1.0 in /usr/local/lib/python3.7/dist-packages (from importlib-resources>=1.4.0->jsonschema>=2.6->nbformat->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8,>=7) (3.8.1)\n",
+ "Requirement already satisfied: webencodings in /usr/local/lib/python3.7/dist-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8,>=7) (0.5.1)\n",
+ "Installing collected packages: jedi\n",
+ "Successfully installed jedi-0.18.1\n"
+ ]
+ }
+ ],
+ "source": [
+ "#@title Install packages\n",
+ "!pip install diffusers==0.3.0\n",
+ "!pip install transformers scipy ftfy\n",
+ "!pip install \"ipywidgets>=7,<8\""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "BHiV7acka4EY"
+ },
+ "source": [
+ "Now you can login with your user token."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "cellView": "form",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 299,
+ "referenced_widgets": [
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+ },
+ "id": "8TRAh8G6sNfA",
+ "outputId": "3e687e67-9687-4250-bb0c-34d3e19d8df4"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Login successful\n",
+ "Your token has been saved to /root/.huggingface/token\n"
+ ]
+ }
+ ],
+ "source": [
+ "#@title Hugging face login\n",
+ "# Enable custom widgets\n",
+ "from google.colab import output\n",
+ "output.enable_custom_widget_manager()\n",
+ "# Login\n",
+ "from huggingface_hub import notebook_login\n",
+ "\n",
+ "notebook_login()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
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+ "Fetching 19 files: 0%| | 0/19 [00:00"
+ ]
+ },
+ "execution_count": 75,
+ "metadata": {},
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+ ],
+ "source": [
+ "#@title Run Stable Diffusion\n",
+ "from torch import autocast\n",
+ "\n",
+ "prompt = PROMPT if len(PROMPT) > 0 else \"An astronaut riding a horse\"\n",
+ "with autocast(\"cuda\"):\n",
+ " image = pipe(prompt).images[0] # image here is in [PIL format](https://pillow.readthedocs.io/en/stable/)\n",
+ "\n",
+ "# or if you're in a google colab you can directly display it with \n",
+ "image"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "QS3HjMEe3dSc"
+ },
+ "source": [
+ "## Save image to Drive"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "cellView": "form",
+ "colab": {
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+ },
+ "id": "ELTiJbYkvuN7",
+ "outputId": "6f174c1a-66d2-4535-cd7e-0d12ff9276f7"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Reading package lists... Done\n",
+ "Building dependency tree \n",
+ "Reading state information... Done\n",
+ "Note, selecting 'libimage-exiftool-perl' instead of 'exiftool'\n",
+ "libimage-exiftool-perl is already the newest version (10.80-1ubuntu0.1).\n",
+ "The following package was automatically installed and is no longer required:\n",
+ " libnvidia-common-460\n",
+ "Use 'apt autoremove' to remove it.\n",
+ "0 upgraded, 0 newly installed, 0 to remove and 20 not upgraded.\n",
+ "Drive already mounted at /content/gdrive; to attempt to forcibly remount, call drive.mount(\"/content/gdrive\", force_remount=True).\n"
+ ]
+ }
+ ],
+ "source": [
+ "#@title Load dependencies\n",
+ "!apt-get install exiftool\n",
+ "\n",
+ "from google.colab import drive\n",
+ "drive.mount('/content/gdrive')\n",
+ "\n",
+ "import os\n",
+ "import datetime\n",
+ "\n",
+ "def filename(FILENAME, FOLDER):\n",
+ " ext = \".png\"\n",
+ " ls = sorted(os.listdir(FOLDER))\n",
+ " counter = sum([ 1 for item in ls if FILENAME in item])\n",
+ " suffix = \"_\" + str(counter + 1) if counter > 0 else \"\"\n",
+ " name = FILENAME + suffix + ext\n",
+ " return name\n",
+ " \n",
+ "def metadata(imagepath):\n",
+ " AUTHOR = \"Samuel ORTION\"\n",
+ " COPYRIGHT = \"Creative Commons By SA 4.0 or later\"\n",
+ " RELATION = \"https://samuel.ortion.fr/\"\n",
+ " DESCRIPTION = f\"prompt: {PROMPT}\"\n",
+ " cmd = f\"\"\"exiftool -use MWG -P -m -overwrite_original_in_place -Copyright=\"{COPYRIGHT}\" -Creator=\"{AUTHOR}\" -Relation=\"{RELATION}\" -Exif:ImageDescription=\"{DESCRIPTION}\" -Description=\"{DESCRIPTION}\" \"{imagepath}\" \"\"\"\n",
+ " os.system(cmd)\n",
+ "\n",
+ "def save(image):\n",
+ " OUTFOLDER = \"/content/gdrive/MyDrive/media/stablediff\"\n",
+ " FILEPATH = os.path.join(OUTFOLDER, filename(FILENAME, OUTFOLDER))\n",
+ " image.save(FILEPATH)\n",
+ " metadata(FILEPATH)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "cellView": "form",
+ "id": "XJqMq-UZ2njc"
+ },
+ "outputs": [],
+ "source": [
+ "#@title Save\n",
+ "save(image)"
+ ]
+ }
+ ],
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diff --git a/go.mod b/go.mod
new file mode 100755
index 0000000..0436c2e
--- /dev/null
+++ b/go.mod
@@ -0,0 +1,5 @@
+module forge.s1gm4.eu/sortion/org-blog
+
+go 1.21.5
+
+require github.com/Mitrichius/hugo-theme-anubis v0.0.0-20231204175953-57eb2998cf2e // indirect
diff --git a/go.sum b/go.sum
new file mode 100755
index 0000000..0b4d568
--- /dev/null
+++ b/go.sum
@@ -0,0 +1,2 @@
+github.com/Mitrichius/hugo-theme-anubis v0.0.0-20231204175953-57eb2998cf2e h1:oCnqB3lB2ZwWA8lDsCPWHrArSGx+/g4lqR1rX33hm/E=
+github.com/Mitrichius/hugo-theme-anubis v0.0.0-20231204175953-57eb2998cf2e/go.mod h1:FKD3NbdsQzL+cXsC3x99XD/t/Rd5EyhDlNBAxQhULbo=
diff --git a/hugo-mus-theme b/hugo-mus-theme
new file mode 160000
index 0000000..77fdac9
--- /dev/null
+++ b/hugo-mus-theme
@@ -0,0 +1 @@
+Subproject commit 77fdac90ad06d76c8e5b42db74fc2cfbb513e185
diff --git a/resources/_gen/assets/ananke/css/main.css_83735de7ca999e9c17f3419b41b93fdb.content b/resources/_gen/assets/ananke/css/main.css_83735de7ca999e9c17f3419b41b93fdb.content
new file mode 100644
index 0000000..54a77cb
--- /dev/null
+++ b/resources/_gen/assets/ananke/css/main.css_83735de7ca999e9c17f3419b41b93fdb.content
@@ -0,0 +1 @@
+/*!TACHYONS v4.9.1 | http://tachyons.io*//*!TACHYONS v4.12.0 | http://tachyons.io*//*!normalize.css v8.0.0 | MIT License | github.com/necolas/normalize.css*/html{line-height:1.15;-webkit-text-size-adjust:100%}body{margin:0}h1{font-size:2em;margin:.67em 0}hr{box-sizing:content-box;height:0;overflow:visible}pre{font-family:monospace,monospace;font-size:1em}a{background-color:transparent}abbr[title]{border-bottom:none;text-decoration:underline;-webkit-text-decoration:underline dotted;text-decoration:underline 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1px 1px 1px);clip:rect(1px,1px,1px,1px)}.ws-normal-l{white-space:normal}.nowrap-l{white-space:nowrap}.pre-l{white-space:pre}.v-base-l{vertical-align:baseline}.v-mid-l{vertical-align:middle}.v-top-l{vertical-align:top}.v-btm-l{vertical-align:bottom}}pre,.pre{overflow-x:auto;overflow-y:hidden;overflow:scroll}pre code{display:block;padding:1.5em;white-space:pre;font-size:.875rem;line-height:2}pre{background-color:#222;color:#ddd;white-space:pre;hyphens:none;position:relative}.pagination{margin:3rem 0}.pagination li{display:inline-block;margin-right:.375rem;font-size:.875rem;margin-bottom:2.5em}[dir=rtl] .pagination li{margin-left:.375rem;margin-right:0}.pagination li a{padding:.5rem .625rem;background-color:#fff;color:#333;border:1px solid #ddd;border-radius:3px;text-decoration:none}.pagination li.disabled{display:none}.pagination li.active a,.pagination li.active a:link,.pagination li.active a:active,.pagination li.active a:visited{background-color:#ddd}#TableOfContents ul li{margin-bottom:1em}.ananke-socials a{display:inline-block;vertical-align:middle;color:#bababa;fill:currentColor}.ananke-socials a .icon svg{width:32px;height:32px}.ananke-socials a:hover{color:#6b7280}.new-window{opacity:0;display:inline-block;vertical-align:top}.link-transition:hover .new-window{opacity:1}#TableOfContents ul li{margin-bottom:1em}.lh-copy blockquote{display:block;font-size:.875em;margin-left:2rem;margin-top:2rem;margin-bottom:2rem;border-left:4px solid #ccc;padding-left:1rem}.nested-links a{overflow-wrap:break-word}
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diff --git a/resources/_gen/assets/css/ananke/css/main.css_83735de7ca999e9c17f3419b41b93fdb.json b/resources/_gen/assets/css/ananke/css/main.css_83735de7ca999e9c17f3419b41b93fdb.json
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+++ b/resources/_gen/assets/css/ananke/css/main.css_83735de7ca999e9c17f3419b41b93fdb.json
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+{"Target":"ananke/css/main.min.css","MediaType":"text/css","Data":{}}
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diff --git a/sync.sh b/sync.sh
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+++ b/sync.sh
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+#!/usr/bin/env bash
+rsync -avzu --delete ./public/ root@samuel.ortion.fr:/var/www/blog.samuel.ortion.fr/
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diff --git a/themes/mus b/themes/mus
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+++ b/themes/mus
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+Subproject commit 77fdac90ad06d76c8e5b42db74fc2cfbb513e185
+
+
+## References
+
+- [Article Tuto Medium Geekculture (en)](https://medium.com/geekculture/2022-how-to-run-stable-diffusion-on-google-colab-5dc10804a2d7)
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diff --git a/content/posts/20221002_generate_chemical_chemfig_scheme_zyme_pubchem.md b/content/posts/20221002_generate_chemical_chemfig_scheme_zyme_pubchem.md
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+---
+title: Générer le code LaTeX/chemfig d'une réaction chimique avec Zyme
+date: 2022-10-02
+lastmod: 2022-10-02
+tags: [chimie]
+slug: zyme-chemical-scheme-with-chemfig-and-pubchem
+author: Samuel Ortion
+status: published
+---
+
+Durant les trois années de licence bioinformatique, nous avons des cours de biochimie, et ceux ci viennent avec leur lots de structure chimiques à connaître.
+
+En L1, j'avais réalisé un document pdf avec LaTeX/chemfig des [acides aminées protéinogènes](/upload/chemical/acides_aminées_protéinogènes.pdf) en représentation de FISCHER, et j'avais trouvé ça plutôt sympa, bien que ça m'avait pris pas mal de temps à rédiger.
+
+Ajourd'hui, j'améliore ma méthode: fini le code de la structure en chemfig (extension LaTeX) *a la mano*, vive le code généré par du code !
+
+## Zyme
+
+[Zyme](https://framagit.org/BioloGeeks/bioinfo/zyme) est un petit script python basé sur [mol2chemfig](https://pypi.org/project/mol2chemfigPy3/), permettant à partir d'une représentation simplifiée d'une réaction chimique du type:
+
+```text
+{Glucose} + ATP -> {Glucose-6-phosphate} + ADP + P_i
+```
+
+de générer le code chemfig correspondant, permettant le rendu de la structure chimique en utilisant la base de données [PubChem](https://pubchem.ncbi.nlm.nih.gov/).
+
+Un fois que le fichier `.tex` est générer, il est possible de générer un pdf, ou un svg par exemple.
+
+## Installation
+
+Rendez vous sur le [dépôt git de zyme](https://framagit.org/BioloGeeks/bioinfo/zyme), et suivez les instructions d'installation.
+
+Globalement, il suffit de cloner le dépôt et d'ajouter le dossier `./zyme` au `PATH` de votre système (sous Linux). Je n'ai pas testé sous Windows, mais ça devrait fonctionner (🤞).
+
+## Utilisation
+
+Pour générer le code LaTeX/chemfig d'une réaction chimique, il suffit de lancer la commande `zyme` avec en argument le fichier contenant la réaction chimique, et eventuellement le fichier de sortie.
+
+Exemple:
+```bash
+zyme.py -i reaction.scheme -o reaction.tex
+```
+
+Le fichier `reaction.scheme` contient la réaction chimique au format texte, et le fichier `reaction.tex` contient le code LaTeX/chemfig généré.
+
+### Format du fichier de la réaction chimique
+
+Le fichier de la réaction est un simple fichier texte contenant les réactifs, produits et flêches de la réaction chimique.
+
+Un ';' permet de séparer deux réactions différentes (plusieurs `\schemestart[...]\schemestop` seront générés).
+
+Un mot entre accolades `{}` sera remplacé par le code chemfig de la structure correspondante (en faisant appel à l'API PubChem des formats SMILES).
+
+Exemple, pour le tryacilglycérol:
+```text
+{triacylglycerol}
+```
+
+Donne dans un premier temps:
+
+```tex
+\schemestart
+\chemfig{--[:60]--[:60]--[:60]--[:60]--[:60]--[:60]--[:60]--[:60]-(=[:300]O%
+)-[:60]O--[:60](-[:120]O-[:60](-[:120]-[:60]-[:120]-[:60]-[:120]-[:60]%
+-[:120]-[:60]-[:120]-[:60]-[:120]-[:60]-[:120]-[:60]-[:120]-[:60]-[:120])=O%
+)--[:300]O-(=[:60]O)-[:300]--[:300]--[:300]--[:300]--[:300]--[:300]--[:300]%
+--[:300]--[:300]}
+\schemestop
+```
+
+Qui peut être compilé en pdf, en donnant:
+
+
+
+
+Zyme accepte d'autres arguments, tel que `+standalone` pour générer un fichier `.tex` compilable directement (instruction `\documentclass[]{standalone}`).
+
+### Générer un `.svg`
+
+Pour générer un fichier `.svg` à partir du fichier `.pdf` généré, il suffit d'utiliser la commande `pdf2svg` (à installer avec votre gestionnaire de paquet préféré).
+
+```bash
+pdf2svg reaction.pdf reaction.svg all
+```
+
+## Conclusion
+
+Et voilà, j'espère que ce petit outil vous sera utile.
+
+N'hésitez pas à me remonter des bugs ou des suggestions d'améliorations, par exemple sur [le dépôt git de zyme](https://framagit.org/BioloGeeks/bioinfo/zyme/issues).
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diff --git a/content/posts/20230205_astuce_copier_text_presse_papier_linux_fr.md b/content/posts/20230205_astuce_copier_text_presse_papier_linux_fr.md
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--- /dev/null
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+---
+title: 'Astuce: Copier du texte dans le presse-papier depuis un terminal Linux'
+date: 2023-02-05
+lastmod: 2023-02-05
+tags: [tip]
+slug: xclip-clipboard-depuis-terminal
+author: Samuel Ortion
+---
+
+Il suffit d'installer `xclip`:
+
+```bash
+sudo dnf install xclip # sur fedora par exemple
+```
+
+Puis, c'est tout simple:
+
+```bash
+echo "Coucou !" | xclip -selection c
+```
+
+Un exemple d'utilisation: copier une clé publique ssh dans le presse papier depuis le terminal:
+
+```bash
+cat ~/.ssh/id_ecdsa.pub | xclip -selection c
+```
\ No newline at end of file
diff --git a/content/posts/20230329_analyze_programming_languages_using_github-linguist.md b/content/posts/20230329_analyze_programming_languages_using_github-linguist.md
new file mode 100755
index 0000000..583ce67
--- /dev/null
+++ b/content/posts/20230329_analyze_programming_languages_using_github-linguist.md
@@ -0,0 +1,175 @@
+---
+title: Analyze projects programming languages using github-linguist
+date: 2023-03-29
+lastmod: 2023-03-29
+tags: [code]
+slug: github-linguist-for-programming-languages-usage-analysis
+author: Samuel Ortion
+lang: en
+---
+
+
+github-linguist is a Ruby library and command line tool for detecting the programming languages used in a project. It is used by GitHub to detect the language of a project and to generate language statistics.
+
+We can use it through the command line, in order to analyze the programming languages used in a project.
+
+During my application to bioinformatics master degree, I had to say which programming languages I commend. So here is some quick tips to use `github-linguist` as I learned to do for this purpose.
+
+## Installation
+
+### Requirements
+
+- Ruby, `gem` and `ruby-devel` packages
+
+### Install
+
+```bash
+$ gem install github-linguist
+```
+
+### Usage
+
+```bash
+$ github-linguist
+```
+
+For instance on my [blog source code](https://forge.chapril.org/sortion/blog/) I get:
+
+```text
+65.80% 945252 Jupyter Notebook
+17.12% 245876 CSS
+14.37% 206405 HTML
+1.29% 18478 Less
+0.77% 11019 Python
+0.43% 6212 Shell
+0.17% 2472 Makefile
+0.06% 879 JavaScript
+```
+
+Let's use a script to get the result for all my projects:
+
+Let's assume you have a directory with all your projects, say in `~/Documents/Projects/`:
+
+```bash
+#!/bin/bash
+# linguist.sh
+# Usage: ./linguist.sh ~/Documents/Projects/
+#
+# Recursively search for git repositories in the given directory
+# and print the programming languages used in each of them.
+
+# Get the directory to search for git repositories
+if [ -z "$1" ]; then
+ echo "Usage: $0 
diff --git a/content/posts/20230618_classify_blood_cells_using_neural_networks.md b/content/posts/20230618_classify_blood_cells_using_neural_networks.md
new file mode 100755
index 0000000..3c07e34
--- /dev/null
+++ b/content/posts/20230618_classify_blood_cells_using_neural_networks.md
@@ -0,0 +1,42 @@
+---
+title: How to Classify Blood Cells Using Neural Networks
+date: 2022-06-18
+lastmod: 2022-06-18
+tags: [machine learning, biology]
+slug: classify-blood-cells-using-neural-networks
+author: Samuel Ortion
+Summary: Machine Learning is widely used for image recognition. Here, we tried to perform blood cell classification using Convolutional Neural Networks.
+lang: en
+---
+
+## Introduction
+
+Machine Learning is widely used for image recognition. Here, we tried to perform blood cell classification using Convolutional Neural Networks.
+
+There is a dataset of blood cells that can be used for training and testing [[2, 3]](#ref2).
+
+According to the paper [[1]](#ref1), the model that performed the best is the Regionnal Convolutional Neural Network (R-CNN).
+
+We tried to reproduce their results.
+
+## The dataset
+
+The dataset is a set of images of white blood cells and platelets sorted in 8 classes: immature granulocytes (ig), monocytes, basophils, neutrophils, eosinophils, erythroblasts and platelets.
+
+The dataset contains 17092 images.
+
+
+## The model
+
+Firstly, we tried to use a classic Convolutional Neural Network (CNN).
+
+
+
+## References
+
+
+[1] [White blood cells detection and classification based on regional convolutional neural networks](https://www.sciencedirect.com/science/article/abs/pii/S0306987719310680?via%3Dihub)
+
+[2] [A dataset of microscopic peripheral blood cell images for development of automatic recognition systems](https://www.sciencedirect.com/science/article/pii/S2352340920303681?via%3Dihub)
+
+[3] [The precedent dataset, download page](https://data.mendeley.com/datasets/snkd93bnjr/1)
diff --git a/content/posts/20240114_unixfu.org b/content/posts/20240114_unixfu.org
new file mode 100755
index 0000000..076431e
--- /dev/null
+++ b/content/posts/20240114_unixfu.org
@@ -0,0 +1,45 @@
+#+title: Unixfu
+#+date: <2024-01-14 Sun>
+#+category: linux
+
+A bin for some useful UNIX command.
+
+* Add two hours
+
+This could be useful for nocmig fan, to ease the hour computation of a bird contact.
+
+#+begin_src bash
+hour() {
+ start=$1
+ duration=$2
+ IFS=":" read -r duration_hour duration_minute <<< $duration
+ date -d "$start $(($duration_hour * 60 + $duration_minute)) minutes" +"%H:%M"
+}
+hour 17:00 5:43
+#+end_src
+
+#+RESULTS:
+: 22:43
+
+* WAV creation datetime
+Here is a small snippet that demonstrates how to get the creation date-time of a WAV file with =ffprobe=
+
+#+begin_src bash
+wav_creation_date() {
+ wav="$1"
+ date_key="date"
+ time_key="creation_time"
+ for key in $date_key $time_key; do
+ ffprobe "${wav}" -v quiet -select_streams v:0 -of default=noprint_wrappers=1:nokey=1 -show_entries stream=codec_type=stream_tags=creation_time:format_tags=${key}
+ done
+}
+#+end_src
+
+Then, on the WAV file =example.wav=:
+#+begin_src bash
+echo $(wav_creation_date example.wav)
+#+end_src
+
+#+begin_example
+2024-01-12 18:56:28
+#+end_example
diff --git a/content/posts/20240210_ortion.eu.org-journey.org b/content/posts/20240210_ortion.eu.org-journey.org
new file mode 100644
index 0000000..27467bf
--- /dev/null
+++ b/content/posts/20240210_ortion.eu.org-journey.org
@@ -0,0 +1,23 @@
+#+title: ortion.fr.eu.org - A journey towards domain self-hosting on a budget
+#+status: draft
+#+category: self-hosting
+#+draft: true
+#+date: 2024-02-10
+
+[[https://nic.eu.org]] provides free domain registring, provided once has its own domain name servers.
+
+* Steps
+** Contact record
+
+**
+
+** FDN primary zone record
+
+* The bill
+
+- FDN VPN subscription (1€ / month (student));
+-