Image classification models for PyTorch
Project description
Large-scale image classification networks
Several large-scale image classification models on PyTorch, trained on the ImageNet-1k dataset.
Installation
To install, use:
pip install pytorchcv torch>=0.4.1
To enable/disable different hardware supports such as GPUs, check out PyTorch installation instructions.
Usage
Example of using the pretrained ResNet-18 model:
from pytorchcv.model_provider import get_model as ptcv_get_model
net = ptcv_get_model("resnet18", pretrained=True)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pytorchcv-0.0.6.tar.gz
(34.1 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pytorchcv-0.0.6.tar.gz.
File metadata
- Download URL: pytorchcv-0.0.6.tar.gz
- Upload date:
- Size: 34.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2ea99251d1461b4fc35861c067f269f47c4196aea47001c0e05429dd0399cd77
|
|
| MD5 |
30849223d1f149233d646dc3609a3d77
|
|
| BLAKE2b-256 |
8b7a1fab5d324566d4c4bab1c72c4f6a9383e2c02bfce70ae6ddffce709cc407
|
File details
Details for the file pytorchcv-0.0.6-py2.py3-none-any.whl.
File metadata
- Download URL: pytorchcv-0.0.6-py2.py3-none-any.whl
- Upload date:
- Size: 62.1 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fc6bf23800bca1a49bc57ce785fe5a6b49ed962faa95fc885923d9ccddde87d0
|
|
| MD5 |
9ab2726655ee42e90f3fff36c8652d02
|
|
| BLAKE2b-256 |
9ba225e1cc5a33c1a4dee47bdd437d26c944f84c1fd45910f4ac800244f98151
|