# mk-today-summer

### today

- [mk-summer-driving-notes](/C7pRAkHETZC6KZsaYT7hMQ)
- [mk-hackmd-test-20230627](/P8FIzkrJQDORuzAHqy3nyQ)

#### first

- [mk-20230621-chatgpt-draft](/hMMZwT_mSXGuBUMEDbr1lg)
- stats p-set
- add in additional vis options
-
- stills and full performances to google drive
- screencast or walkthrough of stats assignment
- setup ultrastudio out in garage again
- test key and fill out
- dd report
-

#### next

- go through first two modules of s ml course
- [mk-realtime-production-notes-20230611](/JFBxmLU1St6N58_HKDMe0Q)
- [mk-studio-planning-20230608](/65iTM8HhTIa6ej5ONCzFcA)
- [mk-ai-writing-202320608](/W0yqmzVuQhKFCCf0RLHLGg)
- [mk-meeting-links](/PeXopD9qSxyDZ566sk0ndQ)
- notes on ai
- make these the initial blog posts
- [ai-tools-how-to](/YbRgKFLxRj-N-ZbPMs5rZg)

time to integrate across some of these tools, but locating it for the summer in the things I need to learn and build out most
- nextjs
- unreal
- ai/ml

### tomorrow

### yesterday

- ingest and gear
- s's slides
- define big summer projects
- ll-summer-of-ai
- realtime and virtual production in the studio
-
[ll-today-doc-in-summer-book](https://hackmd.io/@ll-summer-23/S1gFH5-4h/%2FfFJD6c1_SC240TXFNVlFjQ)

think of this 5-10 year arc for the LL as bigger than the first one.

- nextjs tutorial and materials for codeLab-23
- `/slaunch` and `/slog` and `sshow` activities
- slaunch, sshow, slog
-

## Archive

- [mk-unreal-notes-20230536](/x_HOkTWYS76xtcMJaKWPcg)
- [the-summer-of-ai-book](https://hackmd.io/@ll-summer-23/rJkfu1l83/%2FxYRm2qbSQz2n5fg8B8cbkQ)
- begin [Summer Project: mk-next-moves](/5oAbeYOHTJSXiuBkphrXHg)
- start as 1001-next-moves, then this becomes the-moves?
- other nexts
- ll-all-time-gallery [mk-sproject-gallery](/Kj5jsQLUSH2-3U8ktewjJw)
- the-resources (tailwind)
- the-menu (tailwind?)
- the-show (tailwind)
-

### studioLab
- start thinking about a summer studio project
- one for next week
- one for the longer term
- things
- harness time of day
- better chroma---and send mattes all over the place
- integrate with realtime innovations (both Unreal and Unity)
-
-

### realityLab
- unreal learning project (connecting to the studio)
- including some AR/XR element

### aiLab

- the-summer-of-ai
- work on Sabrina's content/slides
- think about Python workflows

### graphicdesignLab

- print emphasis
- booklets, etc
- InDesign

links

### May


- [fireship on google sheet backend](https://fireship.io/lessons/google-sheets-database-nextjs/)
- react-compare-image
- unreal
- blender geo-nodes
- post each day
- all cams to 1080 except EF-mount at 4K?
- use c200s?
- zones
- classroom
- small studio
- control room
- glass studio
- music studio
- open office space
- mk office
- brick room
- main studio
- green screen
- main shelves
- theatre truss
- diagonal
-

## 06

- xml in studio?
- modals in studio
- ultimatte?
- next
-

## 05

- taught next
-

## 04

- get transcription into Airtable
- slice transcription and match with start/stop sequences in airtable
- modal for a "session" or take

worked on hair

### options
- fire blender scripts from ll-studio-bot-23?
- create AI script repo?
- front-end day?
-

## 03
- [long interview on projects](/QfEpnNoCQySlHWEtV7nvZA)
- improvements to script



## 02

made
- some pngs.
- this script

import bpy
import os
import math
import random

print("starting")

# Delete the default cube
bpy.ops.object.select_all(action='SELECT')
bpy.ops.object.delete(use_global=False)


# Get a list of all PNG files in a specified folder
folder_path = "/Users/ll-studio/Desktop/bio-graphic-pngs"
png_files = [f for f in os.listdir(folder_path) if f.endswith('.png')]

# Create a plane for each PNG file in the folder
for i, png_file in enumerate(png_files):
    # Load the PNG image as a texture
    img = bpy.data.images.load(os.path.join(folder_path, png_file))

    # Calculate the aspect ratio of the image
    aspect_ratio = img.size[0] / img.size[1]

    # Calculate the width of the plane based on the height of 2m and the aspect ratio
    plane_width = 2 * aspect_ratio

    # Create the plane with the calculated dimensions
    bpy.ops.mesh.primitive_plane_add(size=plane_width, enter_editmode=False)
    bpy.context.object.name = f"Cardboard Cutout {i}"
    bpy.context.object.location = (i * 2, 0, 0)

    # Scale the plane along the y-axis to 2m
    bpy.context.object.dimensions[1] = 2

    # Rotate the plane 90 degrees around the x-axis
    bpy.context.object.rotation_euler[0] = math.radians(90)

    # Create a new material and add a texture to it
    material = bpy.data.materials.new(f"Material {i}")
    texture = bpy.data.textures.new(f"Texture {i}", type='IMAGE')
    texture.image = img

    # Set up the material using Principled BSDF
    material.use_nodes = True
    nodes = material.node_tree.nodes
    principled_bsdf = nodes.get("Principled BSDF")
    principled_bsdf.inputs["Alpha"].default_value = 1.0  # Set default alpha value to 1 (fully opaque)
    texture_node = nodes.new(type='ShaderNodeTexImage')
    texture_node.image = img
    texture_node.image.colorspace_settings.name = 'sRGB'
    links = material.node_tree.links
    links.new(texture_node.outputs["Color"], principled_bsdf.inputs["Base Color"])
    links.new(texture_node.outputs["Alpha"], principled_bsdf.inputs["Alpha"])

    # Add the material to the plane
    bpy.context.object.data.materials.append(material)

    # Lift up the plane so that the bottom rests on the ground plane
    bpy.context.object.location.z = 1

    # Offset the plane with a random y value between 0 and 0.7 meters
    random_offset = random.uniform(0, 0.7)
    bpy.context.object.location.y += random_offset

# Add a plane and scale it up by 20
bpy.ops.mesh.primitive_plane_add(size=1, enter_editmode=False)
bpy.context.object.name = "Ground Plane"
bpy.context.object.scale = (20, 20, 1)

# Add an area light, lift it up by 10 meters, scale it up by a factor of 5, and set the power to 1000 watts
bpy.ops.object.light_add(type='AREA', location=(0, 0, 10))
bpy.context.object.name = "Area Light"
bpy.context.object.scale = (5, 5, 5)
bpy.context.object.data.energy = 1000

creating this:


built out ultimatte setup.




## 01
monday.
summer week -4 or 1?
### docs
- [ll-nodejs-cli-template](/zoV0x7shSUCauJm3E6wihQ)
- 
-
### events
- dev zoom
- ai event?
- code workshop on command-line tools

### projects and taskls
- ll-studio-bot-23
- ultimatte tests
- create hackmd working doc added to launch script
- archive working doc script added too?

### made

- [ll-nodejs-cli-template](/zoV0x7shSUCauJm3E6wihQ) both repo and tutorial


# mk-project-april-may

## end of term LLUF and MDF projects

- storyLab
- project stories
- people stories
- contentLab
- video and still processing
- micro-stories
- image stream
- studioLab
- blackmagic gear
- cameras
- server-side scripting
- xml
- ultimatte (crossover with gallery)
- the show (pgm 1)
- galleryLab
- blender
- unity
- unreal
- virtual sets (crossover with studio)
- ar
- resourceLab
- each thing made needs to be a model, to teach something
- rationale so that it's not just a how-to but a why-to too
- tooltimes captured and resources developed
- aiLab
- prep for summer and next year
- inventory of tools
- api research and proofs of concept
-

divide into smaller project groups?

## end of term MK projects

- work-base
- av-base
- studio-base or system-base
- cams with preferred settings
- alt settings per cam
- outputs logged
- macro programming?
- ll-studio-bot-23
- logging support
- logs to fcpxml
- logs to edl
- file names and paths and props in Shootbase
- connect to bases
- macros from system-base
- startup from system-base
- connect to live-log-base
- growing file support
-
- ll-show-your-work-bot-23
- handle work postings
- to final db for year
- go back in time to scrape slack
- slack scraping tools on this bot
- create show md from image
- ll-do-your-work-bot-23
- ~~refactor and start from scratch~~
- MVP
- ~~create task~~
- ~~launch and create hackmd~~
- create lluf-challenge
- create resource prompt from link
- app home with task creation and recent docs
- next
- archive hackmd
-
- ll-ai-lab
- proofs of concept with [api](https://platform.openai.com/docs/guides/speech-to-text/prompting)
-

## mk-ll-story

- 2015 and 2016 website material
- sprint week
- playtesting
- collaborative design
- rehearsal
- Once
- MOOCs
- github
- vimeo
- youtube
-