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)
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-0.0.4.tar.gz
(33.8 kB
view details)
Built Distribution
File details
Details for the file pytorchcv-0.0.4.tar.gz.
File metadata
- Download URL: pytorchcv-0.0.4.tar.gz
- Upload date:
- Size: 33.8 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 | 0f33e523389e2e280bc2855651e27355aee478ae4a062cbbf86b46008649d185 |
|
| MD5 | 821c1c388047efc4b88929193bd5613e |
|
| BLAKE2b-256 | aac5c3d9887bcd0832b2fb0c0197961118275524b5756eeb36a18b843b1c6f20 |
File details
Details for the file pytorchcv-0.0.4-py2.py3-none-any.whl.
File metadata
- Download URL: pytorchcv-0.0.4-py2.py3-none-any.whl
- Upload date:
- Size: 61.9 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 | 7e95c9d320f936b6dee70a020be6f55d609da65521eb396359db34b36c08e316 |
|
| MD5 | 6c9b5e4f98f7dc220d60216603f04e19 |
|
| BLAKE2b-256 | dbe57930420e0928e97bf3ba80ac79e78897e515000f3f6c24aba979faf5ba53 |
