AWS
app
professional
ProcessProductImages
Flask microservice for product image processing with RealESRGAN 4x upscaling (neural network), automatic resizing, and bidirectional AWS S3 synchronization.
33.3% authorship, GPU-accelerated upscaling
33.3% contribution
Quick Stats
Period
Mar 2023 - Mar 2025
Commits
23 / 69
My commits / Total
Team Size
0
Developer
Contribution
33.3%
Developer
Project Metrics
0%Contribution
My Commits
23 / 69Period
Mar 2023 - Mar 2025
Role
Developer
Team
7 people
10x
Speedup
Zero
OOM Errors
99.9%
Upload Success
33.3%
Authorship
Tech Stack
Python
Flask
PyTorch
RealESRGAN
OpenCV
Pillow
AWS S3
MySQL
Docker
nvidia-docker
Key Features
AI Upscaling 4x
RealESRGAN neural network for quality enhancement
Processing Pipeline
Queue management for multiple images
S3 Integration
Automatic download and upload with verification
Auto Resize
Resizing to standard dimensions with aspect ratio
GPU Memory Management
Batch processing to avoid OOM errors
Logging
Detailed logs per image with processing times
My Contribution
0.0%Contribution
Role
Developer
Key Contributions
- RealESRGAN model integration for upscaling
- Flask endpoints for image processing
- Batch processing pipeline with queue management
- Docker configuration with GPU support (nvidia-docker)
- S3 integration for download/upload of images
Achievements
10x
Speedup
Zero
OOM Errors
99.9%
Upload Success
33.3%
Authorship