An easy to use library that makes model predictions more interpretable for humans. M3d-CAM allows the generation of attention maps with multiple methods like Guided Backpropagation, Grad-Cam, Guided Grad-Cam and Grad-Cam++.
Metadata
Release files for medcam 0.1.22
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| medcam-0.1.22.tar.gz | 20.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| medcam-0.1.22-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 44.6 kB
Release files / medcam-0.1.22.tar.gz
| Download URL | medcam-0.1.22.tar.gz |
|---|---|
| Size | 20.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e57c78ce82891b8247949f077fc91629cbe3678c6b8b3c9dc800afe55b2fdfb5
|
|
BLAKE2b-256 checksum How to use checksums |
01aff6183e7423453cfd031e957d82c858363722ca4afe704ddf885e4b5479c3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.3
|
Release files / medcam-0.1.22-py3-none-any.whl
| Download URL | medcam-0.1.22-py3-none-any.whl |
|---|---|
| Size | 24.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
30c7ceab20e2944a1f8d8a7b8983a344565de0c3b1912b35434fec816c57cba2
|
|
BLAKE2b-256 checksum How to use checksums |
84cdc04cee938bc619dd618c07231e71db0c8343e78ad97371d671075c222dd2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.3
|