👆【☰】Table of Contents

DepthFlow

_{👆 Out of the many Explorers, you can be among the Shining stars who support us! ⭐️}

[DepthFlow]: Image → 2.5D Parallax Effect Video. A Professional [Depthy] Alternative.

👇 Right click and loop me!

DepthFlow.2023.12.19.mp4

^{Note: Yes, the only input to DepthFlow was the Original Image}

🎩 Click to see the Original Image

🪄 Click to see the Estimated Depth map

🔥 Description

💡 Base idea:

1. Given an image and its depth map, have a shader to generate a parallax effect
2. Estimate Depth Maps with Neural Networks for generic images
3. Varying the projections over time generates a 2.5D video

As simple as that, we achieve a similar effect as Depthy

📦 Installation

🔴🟡🟢

Download and install our Monorepo with all the code and projects first

_{Note: You cannot run this project in dev mode without the Framework!}

Running the code

• Run the command: broken depthflow on the Broken Environment

A real time window should pop up. You can see broken depthflow --help for render options

Selecting the image

• broken depthflow settings (url | path) main

Rendering to a video

• broken depthflow (--render | -r)
• broken depthflow -r -w 1280 -h 720 -f 30
• broken depthflow -r -o ./video_name -f mkv
• broken depthflow settings (url | path) main --render -s 2

Note: A high SSAA -s 2 is recommended for antialiasing

^{Todo: Reimplement the Gradio interface; configurable parallax settings}

🚀 Using your GPU

By default, Pytorch will be installed with CPU support.

If you want to Speed Up the Depth Estimation process, you can install it with GPU support:

NVIDIA^N1 (CUDA):

• Install CUDA and cuDNN
• Run the command: broken depthflow poe cuda

_{*N1: Your GPU must support PyTorch's CUDA version, all >= GTX 900. Preferably install from your package manager}

AMD^R1 (ROCm):

• Run the command: broken depthflow poe rocm

_{*R1: Check GPU compatibility, <= RX 500 series is not supported. Preferably install from your package manager}

CPU / macOS (Default):

• Run the command: broken depthflow poe cpu

⚖️ License

See BrokenSource Repository for the License of the Code Assets, Projects and User Generated Content.