dennisarfan/StitchATon2
1
0
Fork 0
Code Issues Pull requests 1 Projects Releases 2 Packages Wiki Activity Actions

Compare commits

merge into: dennisarfan:dangerous
Branches Tags
dennisarfan:main
dennisarfan:scoring
dennisarfan:dangerous
dennisarfan:v1.1.1
dennisarfan:v1.0.1
dennisarfan:v1.0.0
...
pull from: dennisarfan:main
Branches Tags
dennisarfan:main
dennisarfan:scoring
dennisarfan:dangerous
dennisarfan:v1.1.1
dennisarfan:v1.0.1
dennisarfan:v1.0.0
Sign in to create a new pull request.

3 commits
dangerous ... main

Author SHA1 Message Date
dennisarfan
2ec9d356b2 Update README.md 2025-12-04 12:04:39 +00:00
dennisarfan
ce0a4b636b Update README.md 2025-08-01 15:28:31 +00:00
Dennis Arfan
55a51335f7 Merge pull request 'dangerous' (#2) from dangerous into main 
Reviewed-on: #2
 2025-08-01 15:17:43 +00:00
1 changed files with 13 additions and 2 deletions
Download patch file Download diff file Expand all files Collapse all files

15
README.md
View file

@ -1,7 +1,13 @@
# Stitch-a-ton Contest Submission # Stitch-a-ton Contest Submission
Repository moved to: https://github.com/denniskematian/GigATon
## Installation ## Installation
This project is build using .NET 9, with SixLabors.ImageSharp as the only external library.
Please refer to [install dotnet SDK on Debian](https://learn.microsoft.com/en-us/dotnet/core/install/linux-debian?tabs=dotnet9)
for details.
### 1. Build ### 1. Build
Install dependencies: Install dependencies:
@ -9,7 +15,7 @@ Install dependencies:
wget https://packages.microsoft.com/config/debian/12/packages-microsoft-prod.deb wget https://packages.microsoft.com/config/debian/12/packages-microsoft-prod.deb
sudo dpkg -i packages-microsoft-prod.deb sudo dpkg -i packages-microsoft-prod.deb
sudo apt update sudo apt update
sudo apt install -y dotnet-sdk-8.0 sudo apt install -y dotnet-sdk-9.0
``` ```
Build the project in `App` folder using command: Build the project in `App` folder using command:
@ -24,8 +30,13 @@ After publishing, enter the folder `/publish` then run
./StitchATon2.App ./StitchATon2.App
``` ```
## Approach ## Ideas
Since we only serve a static assets and the output is downscale only, I think it's good to pre-process each image to [image integral](https://en.wikipedia.org/wiki/Summed-area_table) first and then save it to another directory (eg. temp). Since we only serve a static assets and the output is downscale only, I think it's good to pre-process each image to [image integral](https://en.wikipedia.org/wiki/Summed-area_table) first and then save it to another directory (eg. temp).
Later, we can apply Box Filter averaging on the fly to output Stream (HttpResponse). Later, we can apply Box Filter averaging on the fly to output Stream (HttpResponse).
## Approach
This project is heavily depends on Memory Mapped File to reduce processing overhead and memory pressure to allow HTTP serve more request.
The MMF is used to store the Image Integral of provided asset.