Python interface for nvjpeg. Encode/Decode Jpeg with Nvidia GPU Hardware Acceleration.
Project description
NvJpeg - Python
Require
- nvjpeg
- cuda >= 10.2
- numpy >= 1.7
- python >= 3.6
- gcc >= 7.5
- make >= 4.1
System
Linux(x86, x86_64) Nvidia Jetson OS
Install
pip install pynvjpeg
Usage
0. Init PyNvJpeg
from nvjpeg import NvJpeg
nj = NvJpeg()
1. Use PyNvJpeg
Read Jpeg File to Numpy
img = nj.read("_JPEG_FILE_PATH_")
# like cv2.imread("_JPEG_FILE_PATH_")
Write Numpy to Jpeg File
nj.write("_JPEG_FILE_PATH_", img)
# or nj.write("_JPEG_FILE_PATH_", quality)
# int quality default 70, mean jpeg quality
# like cv2.imwrite("_JPEG_FILE_PATH_", img)
Decode Jpeg bytes in variable
img = nj.decode(jpeg_bytes)
# like cv2.imdecode(variable)
Encode image numpy array to bytes
jpeg_bytes = nj.encode(img)
# or with jpeg quality
# jpeg_bytes = nj.encode(img, 70)
# int quality default 70, mean jpeg quality
# like cv2.imencode(".jpg", variable)[1]
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pynvjpeg-0.0.13.tar.gz
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