aws-panorama-samples
image-quality-assessment
| aws-panorama-samples | image-quality-assessment | |
|---|---|---|
| 1 | 2 | |
| 82 | 2,003 | |
| - | 1.2% | |
| 5.9 | 0.0 | |
| about 2 months ago | 4 months ago | |
| Python | Python | |
| MIT No Attribution | Apache License 2.0 |
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aws-panorama-samples
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Remote View your Computer Vision Models Running on AWS Panorama
Backpack is open source and available on GitHub. You can build and run the example docker container on an ARM64 based system. For example, suppose you’ve already set up the Panorama Test Utility on a t4g type EC2 instance. In this case, you can build and launch a shell in this container with the following commands on the EC2 instance:
image-quality-assessment
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And so it begins: AI(Midjourney) wins art competition without anyone realising.
It's an ongoing research area, but here's a Google model that assigns images ratings based on how good they look. It's pretty good, and it's from 2019 so not even close to state of the art. Paired with Stable Diffusion, it could indeed curate itself. I might have to try that actually.
- Extracting Images from Video
What are some alternatives?
applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
student-teacher-anomaly-detection - Student–Teacher Anomaly Detection with Discriminative Latent Embeddings
GLOM-TensorFlow - An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
DarkMark - Marking up images for use with Darknet.
imagededup - 😎 Finding duplicate images made easy!
These-People-Do-Not-Exist - AI that generates human faces which have never been seen before. The future is now 😁
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.
easytorch - EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.
cnn-in-welding - Detecting Faults and Measuring Severity in Welding using Radiographic Images
MAX-Image-Resolution-Enhancer - Upscale an image by a factor of 4, while generating photo-realistic details.
Speech_driven_gesture_generation_with_autoencoder - This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".