Search Results for: projection

https://www.keheka.com/combining-projections-in-nuke/

https://www.researchgate.net/publication/342521609_CAMERA_PROJECTION_MAPPING_FOR_ENVIRONMENTS_IN_NUKE

https://fspy.io/

Video Projection Tool Software
https://hcgilje.wordpress.com/vpt/

https://www.projectorpoint.co.uk/news/how-bright-should-my-projector-be/

http://www.adwindowscreens.com/the_calculator/

heavym
https://heavym.net/en/

MadMapper
https://madmapper.com/

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lightform.com/

https://fspy.io/

https://www.derivative.ca/088/Applications/

http://www.derivative.ca/

TouchDesigner is a visual development platform that equips you with the tools you need to create stunning realtime projects and rich user experiences.

Whether you’re creating interactive media systems, architectural projections, live music visuals, or simply rapid-prototyping your latest creative impulse, TouchDesigner is the platform that can do it all.

In the increasingly popular technique of mapping projector outputs to real-world objects, TouchDesigner is the tool of choice. With an integrated 3D engine to accurately model and texture real-world objects, completely configurable multiprojector output options, and one of the most powerful realtime graphics engines available, TouchDesigner is ready for the unique requirements of any projection mapping project.

https://en.wikipedia.org/wiki/Mercator_projection

https://www.thetruesize.com

https://www.visualcapitalist.com/countries-by-share-of-earths-surface/

https://www.forbes.com/sites/ronshevlin/2023/02/06/the-hypocrisy-of-layoffs-at-google-microsoft-and-paypal/

“These companies chose to blame thousands of people for a problem that was specifically created by their execs. The same people writing crocodile-tear-stained layoff letters are the same ones responsible for unrealistic projections, unrealistic spending and unrealistic hiring.”

“With corporate leaders having incentives not to benefit stakeholders at shareholder expense, delegating the guardianship of stakeholder interests to corporate leaders would prove futile. The promise of pluralistic stakeholderism is illusory.”

The Big Tech and big fintech companies aren’t worried about letting people go because when the next up-cycle hits they’ll pay top dollars (of course), but just as importantly, these resources can (nearly) seamlessly “plug and pay” into the tech environments in any of these companies.

“They use the same communication tools, the same programming tools, the same everything. There’s no (or hardly any) onboarding and training time required to get someone up to speed.”

“Without the need to spend months (weeks at the least) and untold dollars on training new employees, technology firms are emboldened to just let people go when it’s expedient for them.”

https://www.marcelpichert.com/post/12-toolsets-for-a-smarter-and-faster-comp-workflow

http://www.nukepedia.com/miscellaneous/m_toolsets

Efficient-Workflow Toolsets:

– degrain

– prerender

– concatenation

Keying Toolsets:

– IBK stacker

– Keying Setup Basic

– Keying Setup Plus

Projection Toolsets:

– uv project

– project warp

– project shadow

Mini Toolsets:

– rotate normals

– clamp saturation

– check comp

https://www.freecodecamp.org/news/advanced-computer-vision-with-python/

https://www.freecodecamp.org/news/how-to-use-opencv-and-python-for-computer-vision-and-ai/

Working for a VFX (Visual Effects) studio provides numerous opportunities to leverage the power of Python and OpenCV for various tasks. OpenCV is a versatile computer vision library that can be applied to many aspects of the VFX pipeline. Here’s a detailed list of opportunities to take advantage of Python and OpenCV in a VFX studio:

1. Image and Video Processing:
   • Preprocessing: Python and OpenCV can be used for tasks like resizing, color correction, noise reduction, and frame interpolation to prepare images and videos for further processing.
   • Format Conversion: Convert between different image and video formats using OpenCV’s capabilities.
2. Tracking and Matchmoving:
   • Feature Detection and Tracking: Utilize OpenCV to detect and track features in image sequences, which is essential for matchmoving tasks to integrate computer-generated elements into live-action footage.
3. Rotoscoping and Masking:
   • Segmentation and Masking: Use OpenCV for creating and manipulating masks and alpha channels for various VFX tasks, like isolating objects or characters from their backgrounds.
4. Camera Calibration:
   • Intrinsic and Extrinsic Calibration: Python and OpenCV can help calibrate cameras for accurate 3D scene reconstruction and camera tracking.
5. 3D Scene Reconstruction:
   • Stereoscopy: Use OpenCV to process stereoscopic image pairs for creating 3D depth maps and generating realistic 3D scenes.
   • Structure from Motion (SfM): Implement SfM techniques to create 3D models from 2D image sequences.
6. Green Screen and Blue Screen Keying:
   • Chroma Keying: Implement advanced keying algorithms using OpenCV to seamlessly integrate actors and objects into virtual environments.
7. Particle and Fluid Simulations:
   • Particle Tracking: Utilize OpenCV to track and manipulate particles in fluid simulations for more realistic visual effects.
8. Motion Analysis:
   • Optical Flow: Implement optical flow algorithms to analyze motion patterns in footage, useful for creating dynamic VFX elements that follow the motion of objects.
9. Virtual Set Extension:
   • Camera Projection: Use camera calibration techniques to project virtual environments onto physical sets, extending the visual scope of a scene.
10. Color Grading:
    • Color Correction: Implement custom color grading algorithms to match the color tones and moods of different shots.
11. Automated QC (Quality Control):
    • Artifact Detection: Develop Python scripts to automatically detect and flag visual artifacts like noise, flicker, or compression artifacts in rendered frames.
12. Data Analysis and Visualization:
    • Performance Metrics: Use Python to analyze rendering times and optimize the rendering process.
    • Data Visualization: Generate graphs and charts to visualize render farm usage, project progress, and resource allocation.
13. Automating Repetitive Tasks:
    • Batch Processing: Automate repetitive tasks like resizing images, applying filters, or converting file formats across multiple shots.
14. Machine Learning Integration:
    • Object Detection: Integrate machine learning models (using frameworks like TensorFlow or PyTorch) to detect and track specific objects or elements within scenes.
15. Pipeline Integration:
    • Custom Tools: Develop Python scripts and tools to integrate OpenCV-based processes seamlessly into the studio’s pipeline.
16. Real-time Visualization:
    • Live Previsualization: Implement real-time OpenCV-based visualizations to aid decision-making during the preproduction stage.
17. VR and AR Integration:
    • Augmented Reality: Use Python and OpenCV to integrate virtual elements into real-world footage, creating compelling AR experiences.
18. Camera Effects:
    • Lens Distortion: Correct lens distortions and apply various camera effects using OpenCV, contributing to the desired visual style.

Interpolating frames from an EXR sequence using OpenCV can be useful when you have only every second frame of a final render and you want to create smoother motion by generating intermediate frames. However, keep in mind that interpolating frames might not always yield perfect results, especially if there are complex changes between frames. Here’s a basic example of how you might use OpenCV to achieve this:

import cv2
import numpy as np
import os

# Replace with the path to your EXR frames
exr_folder = "path_to_exr_frames"

# Replace with the appropriate frame extension and naming convention
frame_template = "frame_{:04d}.exr"

# Define the range of frame numbers you have
start_frame = 1
end_frame = 100
step = 2

# Define the output folder for interpolated frames
output_folder = "output_interpolated_frames"
os.makedirs(output_folder, exist_ok=True)

# Loop through the frame range and interpolate
for frame_num in range(start_frame, end_frame + 1, step):
    frame_path = os.path.join(exr_folder, frame_template.format(frame_num))
    next_frame_path = os.path.join(exr_folder, frame_template.format(frame_num + step))

    if os.path.exists(frame_path) and os.path.exists(next_frame_path):
        frame = cv2.imread(frame_path, cv2.IMREAD_ANYDEPTH | cv2.IMREAD_COLOR)
        next_frame = cv2.imread(next_frame_path, cv2.IMREAD_ANYDEPTH | cv2.IMREAD_COLOR)

        # Interpolate frames using simple averaging
        interpolated_frame = (frame + next_frame) / 2

        # Save interpolated frame
        output_path = os.path.join(output_folder, frame_template.format(frame_num))
        cv2.imwrite(output_path, interpolated_frame)

        print(f"Interpolated frame {frame_num}") # alternatively: print("Interpolated frame {}".format(frame_num))

Please note the following points:

• The above example uses simple averaging to interpolate frames. More advanced interpolation methods might provide better results, such as motion-based algorithms like optical flow-based interpolation.
• EXR files can store high dynamic range (HDR) data, so make sure to use cv2.IMREAD_ANYDEPTH flag when reading these files.
• OpenCV might not support EXR format directly. You might need to use a library like exr to read and manipulate EXR files, and then convert them to OpenCV-compatible formats.
• Consider the characteristics of your specific render when using interpolation. If there are large changes between frames, the interpolation might lead to artifacts.
• Experiment with different interpolation methods and parameters to achieve the desired result.
• For a more advanced and accurate interpolation, you might need to implement or use existing algorithms that take into account motion estimation and compensation.

https://helpx.adobe.com/after-effects/using/preparing-importing-3d-image-files.html

Using Video Copilot’s Element 3D

www.videocopilot.net/docs/element/

Projection mapping in Element 3D
https://www.videocopilot.net/forum/viewtopic.php?f=42&t=129682

Using Blender

Using Cinema 4D
helpx.adobe.com/ca/after-effects/using/c4d.html

https://helpx.adobe.com/ca/after-effects/using/c4d.html

Using Maya
https://helpx.adobe.com/after-effects/using/preparing-importing-3d-image-files.html#baking_and_importing_maya_data

http://lowel.tiffen.com/edu/glossary/

https://www.filmsite.org/filmterms.html

https://slideplayer.com/slide/4683339/

-Full Resolution: 2400x550px

-Projection surface approx.10×2 meters by aligning 3 projectors

-Matrox TripleHead2Go

-Computer to play quicktime in loop mode

http://www.jeffdesom.com/hitch/

http://answers.unity3d.com/questions/12321/how-can-i-start-learning-unity-fast-list-of-tutori.html

If you have no previous experience with Unity, start with these six video tutorials which give a quick overview of the Unity interface and some important features http://unity3d.com/support/documentation/video/

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