Pre-release
This release is a pre-release and may not be stable for production use.
Description
This repository contains code to make readly deploy pretrained machine learning model from the Chair for Human-Centered Artificial Intelligence at the University of Augsburg
Currently available Models
Image Models
| Model | Status | Weights | Url |
|---|---|---|---|
| EfficientNetB0 | ✅ | imagenet | https://keras.io/api/applications/ |
| EfficientNetB2 | ✅ | imagenet | https://keras.io/api/applications/ |
| EfficientNetB1 | ✅ | imagenet | https://keras.io/api/applications/ |
| EfficientNetB3 | ✅ | imagenet | https://keras.io/api/applications/ |
| EfficientNetB4 | ✅ | imagenet | https://keras.io/api/applications/ |
| EfficientNetB5 | ✅ | imagenet | https://keras.io/api/applications/ |
| EfficientNetB6 | ✅ | imagenet | https://keras.io/api/applications/ |
| EfficientNetB7 | ✅ | imagenet | https://keras.io/api/applications/ |
| InceptionV3 | ✅ | imagenet | https://keras.io/api/applications/ |
| BlazeFace | ✅ | ls3d-w | https://arxiv.org/abs/1907.05047 |
| S3FD | ✅ | ls3d-w | https://arxiv.org/abs/1708.05237 |
1 maintainer
Release files for hcai-models-nightly 0.1.0.dev202202091717
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hcai_models_nightly-0.1.0.dev202202091717-py3-none-any.whl | Python 3 | none | any | Details |
Release files / hcai_models_nightly-0.1.0.dev202202091717-py3-none-any.whl
| Download URL | hcai_models_nightly-0.1.0.dev202202091717-py3-none-any.whl |
|---|---|
| Size | 62.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4ef2e0fdb33345c510717cc7de9a28209a07427e45507f5fe4d43c8339b265b8
|
|
BLAKE2b-256 checksum How to use checksums |
fb1159ee13c8e097d142c6393743dd64833d76974a2425b7b08718011d473085
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.0 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.6
|
