Verena: Unterschied zwischen den Versionen

@@ Zeile 1: / Zeile 1: @@
 ...
-=KI-SEMINAR=
+==Vorbereitungen==
-==Projektdokumentation==
+==== [[PHYTOTRON|PHYTOTRON – Workspace for Biological Media]] ====
-===Kurzbeschreibung (EN)===
+==== [[DIY_Computer|DIY Computer]] ====
+==== [[Bewaesserungssystem|Bewässerungssystem für KHM-Garten]] ====
+==== [[Workshop_Luftdaten|Workshop: Luftdaten]] ====
+==== [[Rechnen durch Handeln]] ====
+==== [[Mechatronics_101|Mechatronics 101]] ====
+== Archiv ==
+=== Workshop: [[DNA_phenotyping|Forensische DNA-Phänotypisierung]] ===
+=== Seminar [[Open Lab]] (Friedrich, Heck, Hen) ===
+=== Seminar [[Whole_Earth_Reading_Group|WHOLE EARTH Reading Group]] ===
+=== Ausstellungsprojekt [[Multispecies_@_Weltkunstzimmer|"GOOD BYE CRUEL WORLD, IT'S OVER"]] ===
+=== Ausstellung [http://www.temporarygallery.org/?p=8780 Praktiken der Annäherung @ Temporary Gallery] ===
+<!-- [[Practices_of_Approximation|Praktiken der Annäherung @ Temporary Gallery]] -->
+=== Projekt [[KHM-Garten]] ===
+=== Seminar [[Blockchain Reading Group|Blockchain Reading Group]] ===
+=== Workshop [[KünstlerInnenhonorare]] ===
+=== Seminar [[Re-Cycle?]] ===
+<!--
+==Linux==
+===Bootfähigen USB-Stick erstellen (von Mac)===
+Betriebssystem Ubuntu Desktop 18.04.3 LTS (last stable version) soll installiert werden
+Anleitung: [https://tutorials.ubuntu.com/tutorial/tutorial-create-a-usb-stick-on-macos?_ga=2.75139794.1749488733.1571761439-720078860.1571761439#0 How to create a bootable USB stick on macOS]
+. Requirements
+** A 2GB or larger USB stick/flash drive
+** An Apple computer or laptop running macOS
+** An Ubuntu ISO file. See [https://ubuntu.com/download/desktop Get Ubuntu] for download links
+. Prepare/Erase the USB stick Apple's ‘Disk Utility'
+. Install and run [https://www.balena.io/ Etcher]
+. Flash the USB drive
+===Dual Boot auf Windows-System===
+https://wiki.ubuntuusers.de/Dualboot/
+<!--
+==KI-SEMINAR==
+===Projektdokumentation===
+====Kurzbeschreibung (EN)====
 <br>
 '''THE OFFICE (working title), 2019'''
@@ Zeile 26: / Zeile 84: @@
 neural networks
-===Hintergrund/Research===
+====Hintergrund/Research====
-====Projekte Pflanzen & KI====
+=====Projekte Pflanzen & KI=====
-* [https://www.aestheticsofexclusion.com/botanicavariegata Botanica Variegata (2019?) von Sjoerd Ter Borg]
+* [https://www.aestheticsofexclusion.com/projects/botanica-variegata Botanica Variegata (2019?) von Sjoerd Ter Borg]
-====Projekte Environment & KI====
+=====Projekte Environment & KI=====
 * [http://harrischris.com/article/biophillic-vision-experiment-1 Biophillic Vision - Experiment 1: experimenting with machine learning to remove cars from video footage von Chris Harris]
-===Technische Umsetzung/Vorgehensweise===
+* https://rybakov.com/blog/ai_deleting_bodies/
+====Technische Umsetzung/Vorgehensweise====
-====Erste Schritte====
+=====Erste Schritte=====
 * Convolutional Neural Networks for object detection (in videos)
@@ Zeile 48: / Zeile 108: @@
 * Heartbeat Tutorial Part 2: [https://heartbeat.fritz.ai/analyze-and-visualize-detected-video-objects-using-keras-and-imageai-d84c99b0ae8e Analyze and Visualize Detected Video Objects Using Keras and ImageAI]
-====Aktueller Stand====
+=====Aktueller Stand=====
 Working with the pretrained network
@@ Zeile 75: / Zeile 135: @@
 * write this data into a csv file
-====Preparation of training, test and validation data====
+=====Preparation of training, test and validation data=====
-* take last DVD from each season (the selected tv series comprises 9 seasons in total) and reserve it for generating the training, test and validation datam(this material will not be used for the final analysis)
+* take last DVD from each season (the selected tv series comprises 9 seasons in total) and reserve it for generating the training, test and validation data (this material will not be used for the final analysis)
 * format of original material: .mp4; H.264; 720x406; 44100 Hz; 25fps; ...
-* convert all .mp4 files from last DVD to 15fps to reduce file size in regard to analysis (we probably do not need so many frames per second as images will be very similar
+* convert all .mp4 files from last DVD to 15fps to reduce file size in regard to analysis (we probably do not need so many frames per second as images will be very similar)
 * analyze video files (see heartbeat tutorial) and output detected frames by custom objects detection ('potted plant') in the form of a csv file
 * use detected frames data in csv file to cut .mp4 files into multiple shorter files (sequences containing plants)
@@ Zeile 103: / Zeile 164: @@
      [ plant_center_3.mp4 ]
      ...
+    [ plant_center_268.mp4 ]
   [ renamed_plant_chefofficefront ]
   [ renamed_plant_receptiontop ]
   ...
-====Nächste Schritte====
+* batch processing: convert all video files in plant-specific subfolders to images(.jpg)
+* rename again into images with consecutive numbers
+ [ plant_center_images_toCrop_renamed ]
+    [ plant_center_1.jpg ]
+    [ plant_center_2.jpg ]
+    [ plant_center_3.jpg ]
+    ...
+    [ plant_center_2186.jpg ]
+* analyze single images (jpgs) with code based on (adapted) imageAi tutorial "Object Detection with 10 lines of code.ipynb"
+* per batch processed image: output box points info of detected plant and, within each loop, crop image according to box points and save in newly created folder
+Cropped images final output:
+* plant_center (ca. 2200 images)
+* plant_chefofficefront(ca. 1300 images)
+* plant_conferencefront (ca. 600 images)
+* plant_conferenceinside (ca. 300 images)
+* plant_receptiontop (ca. 738 images)
+=====Nächste Schritte=====
 * train custom model based on collected images
@@ Zeile 117: / Zeile 200: @@
 * video post production (if neccessary)
-===Code===
+====Code====
-==Links zum Thema KI==
+===Links zum Thema KI===
 * [https://www.nature.com/articles/d41586-019-01413-1?fbclid=IwAR3DD0D66JN5qjxGuH8YsvNPxKLJs_NXuNzrLaopJ1jtFgGk3TNa_rtcSKs Don’t let industry write the rules for AI]
 * [https://www.wired.com/story/ai-text-generator-too-dangerous-to-make-public/?utm_brand=wired&utm_source=facebook&utm_social-type=owned&utm_medium=social&mbid=social_fb&utm_campaign=wired&fbclid=IwAR0cVyOvfT4uDVeO66zjlPHOXbuS8aGlDChgKSPOd1jT_16YJ492BRxeOS4 The AI Text Generator That's Too Dangerous to Make Public]
-===Evolutionary Algorithms===
+====Evolutionary Algorithms====
 * [https://www.technologyreview.com/s/611568/evolutionary-algorithm-outperforms-deep-learning-machines-at-video-games/?utm_medium=social&utm_source=facebook.com&utm_campaign=owned_social&fbclid=IwAR01pdD_uNn4tobm2tpdDRibCaigDfiJgmUG9DW6GR5u_ltmdvfdAol4esQ Evolutionary algorithm outperforms deep-learning machines at video games], MIT Technology Review, 06/2018
-==Code==
+===Code===
+<!-- unsichtbarer Kommentar
+==Other Research==
+===Teaching & Non-Teaching===
+* [https://medium.com/pi-top/meet-the-school-with-no-classes-no-classrooms-and-no-curriculum-7cc7be517cef?fbclid=IwAR34KmSoA7ER59npOAu2PyE6DAQDZ5IthTloXfqmOD3rtMdOmaPm_LEpOek Meet the school with no classes, no classrooms and no curriculum], Medium, 05/2019
-=BLOCKCHAIN READING GROUP notes=
+ =BLOCKCHAIN READING GROUP notes=
 > seminar page: [[Blockchain Reading Group|Blockchain Reading Group]]
@@ Zeile 153: / Zeile 243: @@
 ** https://en.wikipedia.org/wiki/Smart_contract
 * [https://hackernoon.com/6-interesting-blockchain-projects-8c315364ff7f 6 Interesting Blockchain Projects]
+-->
+-->
+-->
-=KünstlerInnenhonorare=
-* Linksammlung zum Thema [[KünstlerInnenhonorare|KünstlerInnenhonorare]]
-=Other Research=
-==Teaching & Non-Teaching==
-* [https://medium.com/pi-top/meet-the-school-with-no-classes-no-classrooms-and-no-curriculum-7cc7be517cef?fbclid=IwAR34KmSoA7ER59npOAu2PyE6DAQDZ5IthTloXfqmOD3rtMdOmaPm_LEpOek Meet the school with no classes, no classrooms and no curriculum], Medium, 05/2019

Benutzerin

Verena: Unterschied zwischen den Versionen

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Aktuelle Version vom 15. Dezember 2021, 16:21 Uhr

Inhaltsverzeichnis

Vorbereitungen

PHYTOTRON – Workspace for Biological Media

DIY Computer

Bewässerungssystem für KHM-Garten

Workshop: Luftdaten

Rechnen durch Handeln

Mechatronics 101

Archiv

Workshop: Forensische DNA-Phänotypisierung

Seminar Open Lab (Friedrich, Heck, Hen)

Seminar WHOLE EARTH Reading Group

Ausstellungsprojekt "GOOD BYE CRUEL WORLD, IT'S OVER"

Ausstellung Praktiken der Annäherung @ Temporary Gallery

Projekt KHM-Garten

Seminar Blockchain Reading Group

Workshop KünstlerInnenhonorare

Seminar Re-Cycle?