Detection human body keypoints
Project description
Introduction
This package is used to estimate human body keypoints, developed by Waterway Research Insitutue of Nanjing
E-mail: 1126557295@qq.com
Installation
pip install njswpose
Example
from PIL import Image
import PIL
from torchvision.transforms import transforms
from njswpose import pose_detection
image = Image.open('./test.jpg').convert('RGB')
loader = transforms.Compose([
transforms.ToTensor()])
image = loader(image)
pose_detection(image, detect_threshold=0.55, vis=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
njswpose-0.1.5.tar.gz
(3.2 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 njswpose-0.1.5.tar.gz.
File metadata
- Download URL: njswpose-0.1.5.tar.gz
- Upload date:
- Size: 3.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.0 setuptools/51.1.1 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8161565d7501568c72b7fa818bf49c911fddf80437979703d4eca1ff393ee462
|
|
| MD5 |
dd3a15f389abd7982dd5caf646c9118c
|
|
| BLAKE2b-256 |
6fd4e3b275c598fd67fcf7c37a1571b1784cb8693c8a430a863c12591d16501b
|
File details
Details for the file njswpose-0.1.5-py3-none-any.whl.
File metadata
- Download URL: njswpose-0.1.5-py3-none-any.whl
- Upload date:
- Size: 4.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.0 setuptools/51.1.1 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6bd979014caf5f743e2a5743e823deecd7ce4ef5a1226e566e62be980723f34b
|
|
| MD5 |
6a37f789c1e5b9ea74a19844f10a8063
|
|
| BLAKE2b-256 |
fb2189b3ca8c371f1ec69e2bcb2ec5b07bfd2874b27375b0d45552cec664c8a2
|