histomics_detect is a Python package for the building and evaluating cell detection models. It provides data loading, data augmentation, performance metrics, model building, visualization, and other utility functions based on Keras and TensorFlow2.
To get started, clone to your local system and install in developer mode:
$pip install -e ./histomics_detect
To run in Docker, mount the folder containing the cloned repository and then pip install inside the running container.
See /histomics_detect/example/ for a Jupyter notebook demonstrating how to build a FasterRCNN model using histomics_detect.
Release files for histomics-detect 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| histomics_detect-0.0.1.tar.gz | 48.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| histomics_detect-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 116.9 kB
Release files / histomics_detect-0.0.1.tar.gz
| Download URL | histomics_detect-0.0.1.tar.gz |
|---|---|
| Size | 48.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10
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Release files / histomics_detect-0.0.1-py3-none-any.whl
| Download URL | histomics_detect-0.0.1-py3-none-any.whl |
|---|---|
| Size | 68.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10
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